{"id":261,"date":"2026-06-24T12:39:39","date_gmt":"2026-06-24T04:39:39","guid":{"rendered":"https:\/\/ph.listeningo.cn\/index.php\/2026\/06\/24\/2026-06-23\/"},"modified":"2026-06-24T12:39:39","modified_gmt":"2026-06-24T04:39:39","slug":"2026-06-23","status":"publish","type":"post","link":"https:\/\/ph.listeningo.cn\/index.php\/2026\/06\/24\/2026-06-23\/","title":{"rendered":"PH\u70ed\u699c | 2026-06-23"},"content":{"rendered":"


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\n Product Hunt \u6bcf\u65e5\u70ed\u699c 2026-06-23<\/title><\/p>\n<style>\n \/* --- \u5168\u5c40\u91cd\u7f6e\u4e0e\u5b57\u4f53 --- *\/\n :root {\n --ph-orange: #FF6154;\n --text-main: #21293C;\n --text-secondary: #4B587C;\n --bg-ai: #F7F7F9;\n --border-color: #E6E6E6;\n }<\/p>\n<p> body {\n font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif;\n color: var(--text-main);\n background-color: #ffffff;\n line-height: 1.6;\n margin: 0;\n padding: 20px;\n }<\/p>\n<p> .container {\n max-width: 800px;\n margin: 0 auto;\n }<\/p>\n<p> \/* --- \u5361\u7247\u6837\u5f0f --- *\/\n .app-card {\n border-bottom: 1px solid var(--border-color);\n padding-bottom: 40px;\n margin-bottom: 40px;\n }<\/p>\n<p> \/* --- 1. \u5934\u90e8\u533a\u57df --- *\/\n .app-header {\n display: flex;\n align-items: flex-start;\n gap: 16px;\n margin-bottom: 20px;\n }<\/p>\n<p> .rank {\n font-size: 24px;\n font-weight: 300;\n color: #999;\n min-width: 30px;\n padding-top: 4px;\n }<\/p>\n<p> .title-group {\n flex: 1;\n }<\/p>\n<p> .app-title {\n font-size: 24px;\n font-weight: 800;\n margin: 0 0 4px 0;\n color: var(--text-main);\n text-decoration: none;\n display: inline-block;\n }<\/p>\n<p> .app-title:hover {\n color: var(--ph-orange);\n text-decoration: underline;\n }<\/p>\n<p> .vote-btn {\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n border: 1px solid var(--border-color);\n border-radius: 8px;\n padding: 8px 12px;\n background: #fff;\n min-width: 60px;\n box-shadow: 0 1px 2px rgba(0,0,0,0.05);\n }<\/p>\n<p> .vote-arrow {\n color: var(--ph-orange);\n font-size: 14px;\n margin-bottom: -2px;\n }<\/p>\n<p> .vote-count {\n font-weight: 600;\n font-size: 14px;\n }<\/p>\n<p> \/* --- 2. \u5347\u7ea7\u7248\u5a92\u4f53\u753b\u5eca (\u5173\u952e\u4fee\u6539) --- *\/\n .media-gallery {\n display: flex;\n gap: 16px;\n overflow-x: auto; \/* \u5141\u8bb8\u6a2a\u5411\u6eda\u52a8 *\/\n padding-bottom: 16px; \/* \u7559\u51fa\u6eda\u52a8\u7a7a\u95f4 *\/\n scroll-snap-type: x mandatory; \/* \u6eda\u52a8\u5438\u9644\u6548\u679c *\/\n -webkit-overflow-scrolling: touch; \/* iOS \u5e73\u6ed1\u6eda\u52a8 *\/\n margin-bottom: 20px;<\/p>\n<p> \/* \u9690\u85cf\u9ed8\u8ba4\u6eda\u52a8\u6761\u4f46\u4fdd\u7559\u529f\u80fd (Firefox) *\/\n scrollbar-width: thin;\n scrollbar-color: #ddd transparent;\n }<\/p>\n<p> \/* Webkit \u6eda\u52a8\u6761\u6837\u5f0f\u4f18\u5316 *\/\n .media-gallery::-webkit-scrollbar {\n height: 6px;\n }\n .media-gallery::-webkit-scrollbar-track {\n background: transparent;\n }\n .media-gallery::-webkit-scrollbar-thumb {\n background-color: #eee;\n border-radius: 10px;\n }<\/p>\n<p> .media-item-wrapper {\n flex: 0 0 auto; \/* \u9632\u6b62\u88ab\u538b\u7f29 *\/\n width: 80%; \/* \u79fb\u52a8\u7aef\u9ed8\u8ba4\u9732\u51fa\u4e00\u70b9\u4e0b\u4e00\u5f20\uff0c\u63d0\u793a\u53ef\u6ed1\u52a8 *\/\n max-width: 500px; \/* \u684c\u9762\u7aef\u6700\u5927\u5bbd\u5ea6 *\/\n aspect-ratio: 16\/9; \/* \u7edf\u4e00\u6bd4\u4f8b *\/<\/p>\n<p> position: relative;\n border-radius: 12px;\n overflow: hidden;\n border: 1px solid rgba(0,0,0,0.08);\n background-color: #f5f5f5;\n scroll-snap-align: center; \/* \u6eda\u52a8\u505c\u6b62\u65f6\u5c45\u4e2d *\/\n }<\/p>\n<p> .media-content {\n width: 100%;\n height: 100%;\n object-fit: cover; \/* \u586b\u5145\u5bb9\u5668 *\/\n display: block;\n cursor: pointer;\n }<\/p>\n<p> \/* \u89c6\u9891\u6807\u7b7e\u7279\u6b8a\u5904\u7406 *\/\n video.media-content {\n background-color: #000;\n cursor: pointer;\n }<\/p>\n<p> \/* \u5982\u679c\u53ea\u67091\u4e2a\u5a92\u4f53\uff0c\u4e0d\u8981\u6eda\u52a8\uff0c\u4e14\u5bbd\u5ea6\u81ea\u9002\u5e94 *\/\n .media-gallery.single-item .media-item-wrapper {\n width: 100%;\n max-width: 100%;\n }<\/p>\n<p> \/* --- 3. \u63cf\u8ff0\u4e0e\u6807\u7b7e --- *\/\n .one-liner {\n font-size: 18px;\n color: var(--text-secondary);\n margin-bottom: 12px;\n font-weight: 500;\n }<\/p>\n<p> .tags-container {\n display: flex;\n flex-wrap: wrap;\n gap: 8px;\n margin-bottom: 24px;\n }<\/p>\n<p> .tag {\n font-size: 12px;\n color: var(--text-secondary);\n background-color: #F2F2F2;\n padding: 4px 10px;\n border-radius: 20px;\n font-weight: 600;\n text-transform: uppercase;\n }<\/p>\n<p> \/* --- 4. AI \u6458\u8981\u533a --- *\/\n .ai-section {\n background-color: var(--bg-ai);\n border-radius: 12px;\n padding: 20px;\n margin-bottom: 20px;\n border-left: 4px solid var(--ph-orange);\n }<\/p>\n<p> .ai-title {\n font-size: 14px;\n font-weight: 700;\n color: var(--text-main);\n margin: 0 0 12px 0;\n display: flex;\n align-items: center;\n gap: 6px;\n }<\/p>\n<p> .ai-content {\n font-size: 15px;\n color: #333;\n margin-bottom: 0;\n line-height: 1.7;\n }<\/p>\n<p> \/* --- 5. \u8bc4\u8bba\u533a --- *\/\n .reviews-section {\n margin-top: 10px;\n }<\/p>\n<p> .review-item {\n display: flex;\n gap: 10px;\n margin-bottom: 12px;\n font-size: 14px;\n }<\/p>\n<p> .review-avatar {\n font-size: 18px;\n margin-top: 2px;\n min-width: 24px;\n }<\/p>\n<p> .review-bubble {\n background: #fff;\n border: 1px solid var(--border-color);\n padding: 8px 12px;\n border-radius: 0 12px 12px 12px;\n color: var(--text-secondary);\n line-height: 1.5;\n }<\/p>\n<p> .review-author {\n font-weight: 700;\n color: var(--text-main);\n margin-right: 4px;\n font-style: normal;\n }<\/p>\n<p> .comments-section {\n margin-top: 30px;\n border-top: 1px solid var(--border-color);\n padding-top: 20px;\n }<\/p>\n<p> .comments-toggle {\n background-color: #f8f9fa;\n border: 1px solid var(--border-color);\n border-radius: 8px;\n padding: 12px 20px;\n cursor: pointer;\n display: flex;\n justify-content: space-between;\n align-items: center;\n width: 100%;\n font-size: 14px;\n font-weight: 600;\n color: var(--text-main);\n transition: all 0.3s ease;\n }<\/p>\n<p> .comments-toggle:hover {\n background-color: #e9ecef;\n }<\/p>\n<p> .comments-toggle .toggle-arrow {\n font-size: 18px;\n transition: transform 0.3s ease;\n }<\/p>\n<p> .comments-toggle.open .toggle-arrow {\n transform: rotate(180deg);\n }<\/p>\n<p> .comments-container {\n max-height: 0;\n overflow: hidden;\n transition: max-height 0.5s ease;\n margin-top: 15px;\n }<\/p>\n<p> .comments-container.open {\n max-height: 800px;\n overflow: auto;\n }<\/p>\n<p> .comment-item {\n background-color: #fff;\n border: 1px solid var(--border-color);\n border-radius: 8px;\n padding: 16px;\n margin-bottom: 12px;\n font-size: 14px;\n }<\/p>\n<p> .comment-header {\n display: flex;\n justify-content: space-between;\n align-items: flex-start;\n margin-bottom: 8px;\n }<\/p>\n<p> .comment-author {\n font-weight: 600;\n color: var(--text-main);\n margin-right: 8px;\n }<\/p>\n<p> .comment-content {\n color: var(--text-secondary);\n line-height: 1.5;\n margin-bottom: 10px;\n word-break: break-word;\n word-wrap: break-word;\n overflow-wrap: anywhere;\n white-space: normal;\n }<\/p>\n<p> .comment-content p {\n margin: 0;\n word-break: break-word;\n word-wrap: break-word;\n overflow-wrap: anywhere;\n white-space: normal;\n }<\/p>\n<p> \/* \u4f18\u5316\u8868\u60c5\u7b26\u53f7\u663e\u793a *\/\n .emoji {\n display: inline;\n max-width: 15px;\n overflow-wrap: normal;\n }<\/p>\n<p> .comment-actions {\n display: flex;\n align-items: center;\n gap: 16px;\n font-size: 12px;\n color: var(--text-secondary);\n }<\/p>\n<p> .comment-vote {\n display: flex;\n align-items: center;\n gap: 4px;\n cursor: pointer;\n }<\/p>\n<p> .comment-replies {\n margin-top: 12px;\n margin-left: 20px;\n padding-left: 12px;\n border-left: 2px solid var(--border-color);\n }<\/p>\n<p> .reply-item {\n background-color: #f8f9fa;\n border: 1px solid var(--border-color);\n border-radius: 6px;\n padding: 12px;\n margin-bottom: 8px;\n font-size: 13px;\n }<\/p>\n<p> .reply-content {\n color: var(--text-secondary);\n line-height: 1.4;\n margin-bottom: 6px;\n }<\/p>\n<p> \/* --- \u54cd\u5e94\u5f0f\u5fae\u8c03 --- *\/\n @media (min-width: 600px) {\n .media-item-wrapper {\n width: 60%; \/* \u684c\u9762\u7aef\u7a0d\u5fae\u7a84\u4e00\u70b9\uff0c\u5c55\u793a\u66f4\u591a\u5f20 *\/\n scroll-snap-align: start; \/* \u684c\u9762\u7aef\u9760\u5de6\u5bf9\u9f50 *\/\n }\n }<\/p>\n<p> \/* \u79fb\u52a8\u8bbe\u5907\u54cd\u5e94\u5f0f\u4f18\u5316 *\/\n @media (max-width: 599px) {\n \/* \u6a21\u6001\u6846\u4f18\u5316 *\/\n .modal-content {\n max-width: 95%;\n max-height: 85vh;\n margin: 10vh auto;\n }<\/p>\n<p> .close {\n top: 10px;\n right: 20px;\n font-size: 30px;\n \/* \u589e\u5927\u70b9\u51fb\u533a\u57df *\/\n padding: 15px;\n }<\/p>\n<p> \/* \u89c6\u9891\u64ad\u653e\u56fe\u6807\u4f18\u5316 *\/\n .play-icon {\n width: 60px;\n height: 60px;\n font-size: 18px;\n }<\/p>\n<p> \/* \u786e\u4fdd\u5a92\u4f53\u5185\u5bb9\u5728\u5c0f\u5c4f\u5e55\u4e0a\u6b63\u786e\u663e\u793a *\/\n .media-content {\n object-fit: cover;\n }\n }<\/p>\n<p> \/* --- \u56fe\u7247\u653e\u5927\u6a21\u6001\u6846\u6837\u5f0f --- *\/\n .modal {\n display: none;\n position: fixed;\n z-index: 1000;\n left: 0;\n top: 0;\n width: 100%;\n height: 100%;\n background-color: rgba(0, 0, 0, 0.9);\n overflow: auto;\n transition: opacity 0.3s ease;\n }<\/p>\n<p> .modal-content {\n display: block;\n max-width: 90%;\n max-height: 90vh;\n margin: 5vh auto;\n object-fit: contain;\n animation: zoom 0.3s;\n }<\/p>\n<p> @keyframes zoom {\n from {transform: scale(0.8); opacity: 0;}\n to {transform: scale(1); opacity: 1;}\n }<\/p>\n<p> .close {\n position: absolute;\n top: 20px;\n right: 35px;\n color: #fff;\n font-size: 40px;\n font-weight: bold;\n transition: 0.3s;\n cursor: pointer;\n \/* \u6dfb\u52a0\u89e6\u63a7\u4f18\u5316 *\/\n padding: 10px;\n line-height: 1;\n user-select: none;\n -webkit-user-select: none;\n }<\/p>\n<p> .close:hover,\n .close:focus {\n color: #bbb;\n text-decoration: none;\n }<\/p>\n<p> \/* \u89c6\u9891\u70b9\u51fb\u63d0\u793a\u6837\u5f0f *\/\n .video-overlay {\n position: absolute;\n top: 0;\n left: 0;\n width: 100%;\n height: 100%;\n display: flex;\n align-items: center;\n justify-content: center;\n background-color: rgba(0, 0, 0, 0.2);\n opacity: 0;\n transition: opacity 0.3s ease;\n \/* \u89e6\u63a7\u4f18\u5316 *\/\n touch-action: manipulation;\n cursor: pointer;\n }<\/p>\n<p> .media-item-wrapper:hover .video-overlay {\n opacity: 1;\n }<\/p>\n<p> \/* \u4e3a\u89e6\u6478\u8bbe\u5907\u6dfb\u52a0\u89e6\u6478\u6548\u679c *\/\n .media-item-wrapper:active .video-overlay {\n opacity: 0.8;\n }<\/p>\n<p> .play-icon {\n width: 80px;\n height: 80px;\n background-color: rgba(255, 255, 255, 0.9);\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n color: var(--ph-orange);\n font-size: 24px;\n font-weight: bold;\n \/* \u89e6\u63a7\u4f18\u5316 *\/\n user-select: none;\n -webkit-user-select: none;\n }<\/p>\n<p> \/* --- \u54cd\u5e94\u5f0f\u5fae\u8c03 --- *\/\n @media (min-width: 600px) {\n .media-item-wrapper {\n width: 60%; \/* \u684c\u9762\u7aef\u7a0d\u5fae\u7a84\u4e00\u70b9\uff0c\u5c55\u793a\u66f4\u591a\u5f20 *\/\n scroll-snap-align: start; \/* \u684c\u9762\u7aef\u9760\u5de6\u5bf9\u9f50 *\/\n }\n }<\/p>\n<p> \/* \u79fb\u52a8\u8bbe\u5907\u54cd\u5e94\u5f0f\u4f18\u5316 *\/\n @media (max-width: 599px) {\n \/* \u6a21\u6001\u6846\u4f18\u5316 *\/\n .modal-content {\n max-width: 95%;\n max-height: 85vh;\n margin: 10vh auto;\n }<\/p>\n<p> .close {\n top: 10px;\n right: 20px;\n font-size: 30px;\n \/* \u589e\u5927\u70b9\u51fb\u533a\u57df *\/\n padding: 15px;\n }<\/p>\n<p> \/* \u89c6\u9891\u64ad\u653e\u56fe\u6807\u4f18\u5316 *\/\n .play-icon {\n width: 60px;\n height: 60px;\n font-size: 18px;\n }<\/p>\n<p> \/* \u786e\u4fdd\u5a92\u4f53\u5185\u5bb9\u5728\u5c0f\u5c4f\u5e55\u4e0a\u6b63\u786e\u663e\u793a *\/\n .media-content {\n object-fit: cover;\n }\n }\n <\/style>\n<p><\/head><br \/>\n<body><\/p>\n<div class=\"container\">\n<h1 style=\"text-align:center; margin-bottom:40px; font-weight:900;\">PH\u70ed\u699c | 2026-06-23<\/h1>\n<p> <!-- \u5c55\u793aapp\u5361\u7247 --><\/p>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#1<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/SES4UURPNBOQ2O\" class=\"app-title\">Bluerails Discovery <\/a><\/p>\n<div class=\"one-liner\">The rails AI agents use to find and pay you<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">540<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Bluerails Discovery\u662f\u4e00\u6b3e\u5e2e\u52a9\u4f01\u4e1a\u8bc4\u4f30\u5e76\u4f18\u5316\u5176\u5728AI Agent\u751f\u6001\u4e2d\u201c\u88ab\u53d1\u73b0\u201d\u548c\u201c\u88ab\u4ea4\u6613\u201d\u80fd\u529b\u7684SaaS\u5de5\u5177\uff0c\u6838\u5fc3\u89e3\u51b3\u4f01\u4e1a\u5728\u65b0\u5174\u7684AI\u9a71\u52a8\u7535\u5546\u573a\u666f\u4e0b\uff0c\u56e0\u7f3a\u4e4f\u53ef\u89c1\u6027\u548c\u4ea4\u6613\u80fd\u529b\u800c\u6d41\u5931\u8ba2\u5355\u7684\u75db\u70b9\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/c7a4fc3e-dc24-4e20-8b1f-c75e1c447c79.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/96f84734-af81-4cb6-9c63-f1f16549610b.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/ce569827-899c-4243-ae83-7a1dbdaa2d89.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/864d658b-5ace-4801-adf3-2005ca946662.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/ab7540a7-6686-469b-ba96-b100a0d84a30.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/2a5fc92a-1980-4884-862a-7347bf79f16a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/100643d0-7fb8-4757-bbd1-1aba4ff1566e.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=3AFrTvkyk_w\"><source src=\"https:\/\/www.youtube.com\/watch?v=3AFrTvkyk_w\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Fintech<\/span><br \/>\n <span class=\"tag\">SEO<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI Agent\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7406\u5546\u52a1<\/span><br \/>\n <span class=\"tag\">AI\u53ef\u89c1\u6027\u8bc4\u5206<\/span><br \/>\n <span class=\"tag\">\u751f\u6210\u5f0f\u5f15\u64ce\u4f18\u5316(GEO)<\/span><br \/>\n <span class=\"tag\">Agent\u652f\u4ed8<\/span><br \/>\n <span class=\"tag\">\u5408\u89c4\u7ed3\u7b97<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1aSaaS<\/span><br \/>\n <span class=\"tag\">\u6570\u5b57\u5e93\u5b58<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u9ad8\u5ea6\u8ba4\u53ef\u5176\u7ed3\u5408\u201c\u53d1\u73b0\u201d\u4e0e\u201c\u652f\u4ed8\u201d\u7684\u5dee\u5f02\u5316\u4ef7\u503c\uff0c\u5e76\u8be2\u95ee\u652f\u4ed8\u5c42\u7684\u5177\u4f53\u673a\u5236\uff08\u5982\u94b1\u5305\u3001\u5fae\u652f\u4ed8\uff09\u3002\u6709\u7528\u6237\u89c6\u5176\u4e3a\u65b0\u5174SEO\u5de5\u5177\uff0c\u5e76\u5173\u6ce8\u5b9a\u4ef7\u6a21\u5f0f\uff08129-1999\u7f8e\u5143\/\u6708\uff09\u53caAPI\u652f\u6301\u60c5\u51b5\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Bluerails Discovery\u8e29\u51c6\u4e86\u4ece\u201cAI\u641c\u7d22\u4f18\u5316\u201d\u5230\u201cAI\u4ea4\u6613\u4f18\u5316\u201d\u7684\u6d6a\u6f6e\u5207\u6362\u70b9\uff0c\u5176\u4ef7\u503c\u4e0d\u5728\u4e8e\u53c8\u4e00\u4e2aGEO\uff08\u751f\u6210\u5f0f\u5f15\u64ce\u4f18\u5316\uff09\u8bc4\u5206\u5de5\u5177\uff0c\u800c\u5728\u4e8e\u7387\u5148\u642d\u5efa\u4e86\u4ece\u201c\u88ab\u770b\u89c1\u201d\u5230\u201c\u88ab\u6210\u4ea4\u201d\u7684\u652f\u4ed8\u57fa\u5efa\u3002\u521b\u59cb\u4eba\u5bf9Web2\u5e02\u573a\u6f14\u5316\u8def\u5f84\u7684\u590d\u76d8\u5f88\u6709\u89c1\u5730\uff0c\u5bf9\u201cAgent\u6210\u4e3a\u65b0\u6536\u94f6\u53f0\u201d\u7684\u5224\u65ad\u4e5f\u8db3\u591f\u524d\u77bb\u3002\u7136\u800c\uff0c\u8fd9\u6b3e\u4ea7\u54c1\u76ee\u524d\u9762\u4e34\u4e24\u5927\u73b0\u5b9e\u62f7\u95ee\uff1a\u7b2c\u4e00\uff0c\u6280\u672f\u58c1\u5792\u5b58\u7591\u3002\u6240\u8c13\u7684\u201cAgent Score\u201d\u5728\u540c\u884c\u773c\u4e2d\u53ef\u80fd\u53ea\u662f\u7ed3\u6784\u5316\u6570\u636e\u548csitemap\u7684\u5347\u7ea7\u7248\uff0c\u5bb9\u6613\u88ab\u5934\u90e8AI\u5e73\u53f0\u6216Stripe\u7b49\u652f\u4ed8\u5de8\u5934\u7684\u539f\u751f\u529f\u80fd\u8986\u76d6\u3002\u7b2c\u4e8c\uff0c\u751f\u6001\u4f4d\u5c34\u5c2c\u3002\u5b83\u8bd5\u56fe\u5728AI\u6a21\u578b\uff08\u5982ChatGPT\uff09\u3001\u6570\u5b57\u94b1\u5305\uff08\u5982Coinbase\uff09\u548c\u4f20\u7edf\u652f\u4ed8\u7f51\u7edc\uff08\u5982Mastercard\uff09\u4e4b\u95f4\u63d2\u4e00\u811a\uff0c\u4f46\u81ea\u8eab\u65e2\u4e0d\u62e5\u6709\u7528\u6237\u6d41\u91cf\u5165\u53e3\uff0c\u4e5f\u4e0d\u63a7\u5236\u6700\u7ec8\u7ed3\u7b97\u901a\u9053\u3002\u5f53\u524d\u66f4\u50cf\u4e00\u4e2a\u5148\u884c\u8005\u7684\u60c5\u62a5\u5de5\u5177\u548c\u5408\u89c4\u5c42\uff0c\u957f\u671f\u4ef7\u503c\u53d6\u51b3\u4e8e\u80fd\u5426\u6210\u4e3aAI Agent\u53d1\u73b0\u4e0e\u652f\u4ed8\u7684\u201c\u5206\u5e03\u5f0f\u6807\u51c6\u201d\uff0c\u800c\u975e\u4e00\u4e2a\u4e2d\u95f4\u5c42\u63d2\u4ef6\u3002\u4ea7\u54c1\u5b9a\u4ef7\u4ece129\u52301999\u7f8e\u5143\u76f4\u63a5\u5207\u5411\u4e0d\u540c\u89c4\u6a21\u5ba2\u6237\uff0c\u7b56\u7565\u52a1\u5b9e\u4f46\u9700\u8981\u8b66\u60d5\u793e\u533a\u7248\u7528\u6237\u96be\u4ee5\u8f6c\u5316\u4e3a\u9ad8\u4ef7\u503c\u5ba2\u6237\u3002\u603b\u7684\u6765\u770b\uff0c\u65b9\u5411\u6b63\u786e\uff0c\u4f46\u6267\u884c\u548c\u751f\u6001\u5361\u4f4d\u51b3\u5b9a\u7ec8\u5c40\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Bluerails Discovery <\/span>\n <\/div>\n<div class=\"comment-content\">Most “AI visibility” tools stop at telling you if AI mentions your brand. Bluerails goes further. We make you discoverable to AI agents and ready to get paid by them, on the rails we already run for marketplaces. What stands out: \u2022 Discovery: a peer-reviewed AI-visibility score from 400 samples, not a one-off guess. Free, no signup. \u2022 Agent-ready checkout + global settlement \u2022 Compliance built in Try your free Discovery report today; agent payments roll out next.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hi everyone, I’m Jens, co-founder of Bluerails. \ud83d\udc4b\ud83c\udffe<\/p>\n<p>I’ve spent my whole career watching how the internet decides who wins.<\/p>\n<p>At <a href=\"https:\/\/www.getyourguide.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong>GetYourGuide<\/strong><\/a><strong> (2019 to 2021)<\/strong> I lived inside a textbook Web2 marketplace: aggregate supply, aggregate demand, match them, take a cut. It worked because the internet rewarded whoever owned the funnel.<\/p>\n<p>So, at <a href=\"https:\/\/www.passionfroot.me\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong>Passionfroot<\/strong><\/a> I built for that same world: software that gave creators their own storefronts. The market corrected us fast. Creators didn’t want another storefront, they wanted demand. We pivoted into a marketplace and brought it to them.<\/p>\n<p>Along the way I noticed something the playbook didn’t predict: creators around the world were already asking to just get paid, as cheaply as possible. My first glimpse of where money was heading.<\/p>\n<p>In 2025, <strong>I started <\/strong><a href=\"https:\/\/www.bluerails.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong>Bluerails<\/strong><\/a> to build those rails for global companies and marketplaces. But the deeper we went, the more the ground shifted under the whole model.<\/p>\n<p><strong>The problem: discovery is moving into the AI layer!<\/strong><\/p>\n<ul>\n<li>\n<p><strong>Nearly a billion people a week<\/strong> now ask ChatGPT what to buy, and increasingly the AI buys it for them.<\/p>\n<\/li>\n<li>\n<p><strong>OpenAI, Google, Stripe, Mastercard and Coinbase<\/strong> are all racing to build agent led checkout right now.<\/p>\n<\/li>\n<li>\n<p>The new top of funnel isn’t ads. It’s being <strong>discoverable and transactable by AI agents.<\/strong><\/p>\n<\/li>\n<\/ul>\n<p>And to be transactable, you need a checkout that humans and agents can both use, one that speaks <strong>FIAT and stablecoins natively<\/strong>, because agents transact globally, instantly, around the clock, in amounts and ways cards were never built for.<\/p>\n<p><strong>The solution: that’s Bluerails, the checkout that brings companies into the age of agentic commerce.<\/strong><\/p>\n<p>One integration, and your business is ready for both the customer and the agent buying on their behalf, in dollars or stablecoins.<\/p>\n<p>What makes us different:<\/p>\n<p>Most tools in this space stop at telling you how often a chatbot mentions you. We don’t just make you findable, <strong>we make you buyable<\/strong>. Discovery now, agent commerce next. No intermediaries, no commission.<\/p>\n<p><strong>What you can do today:<\/strong><\/p>\n<ul>\n<li>\n<p><strong>Agent Score:<\/strong> scan any URL and get an instant agent readiness score. See exactly how discoverable and payable your site is to AI agents.<\/p>\n<\/li>\n<li>\n<p><strong>Instant Fix:<\/strong> get your llms.txt and a schema fix so you can make your site agent bookable in minutes.<\/p>\n<\/li>\n<li>\n<p><strong>Agent Analytics:<\/strong> measure real agent traffic hitting your site. Understand which AI agents are visiting, what they’re trying to do, and how much revenue you’re leaving on the table.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Who it’s for:<\/strong><br \/>Developers and product teams running sites with digital inventory. Content publishers, hotels, SaaS tools, anyone who wants to get discovered and paid by AI agents before their competitors do.<\/p>\n<p><strong>\ud83c\udf81 Special offer for the PH community:<\/strong> one free month.<\/p>\n<p>We’d love your feedback, especially if you’re building agents that need to move money. Drop a comment or reach me at <a href=\"mailto:jens@bluerails.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">jens@bluerails.com<\/a>.<\/p>\n<p>Huge thanks to <a href=\"https:\/\/www.producthunt.com\/@benln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@benln<\/a>for hunting us, and to the PH community for the support. Let’s make agentic commerce mainstream.<\/p>\n<p>Jens<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>28<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@benln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@benln<\/a>  <a href=\"https:\/\/www.producthunt.com\/@j_mannanal\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@j_mannanal<\/a> super cool what you are building, agents are going to be what moves the economy quite soon, so it makes sense!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@benln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@benln<\/a>  <a href=\"https:\/\/www.producthunt.com\/@j_mannanal\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@j_mannanal<\/a>Congrats on the launch! \ud83d\ude80 The industry is moving fast from basic Generative Engine Optimization (GEO) to building the actual transactional rails for the agentic economy. It\u2019s one thing for an AI model to mention a brand, but the real unlock is making that brand fully discoverable, structured, and ready to accept native payments directly from autonomous agents. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@benln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@benln<\/a>  <a href=\"https:\/\/www.producthunt.com\/@j_mannanal\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@j_mannanal<\/a> amazing what you have built. This is the convenience we are gonna look for using AI agents. \ud83d\ude42 Interesting would be to understand how does the services gets ranked or picked in the background ? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hi Product Hunt! I’m Gurveen, one of the makers at <a href=\"https:\/\/www.bluerails.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Bluerails<\/a> \ud83d\udc4b<\/p>\n<p>Coming from <a href=\"https:\/\/www.mckinsey.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">McKinsey<\/a>, I worked across some of the world’s most customer-obsessed companies. The best ones always had one thing figured out: exactly where their next customer was coming from.<\/p>\n<p>That answer is shifting in a way most businesses aren’t ready for. AI agents are increasingly the ones browsing, evaluating, and making purchase decisions on behalf of users. And right now, most companies are completely invisible to them.<\/p>\n<p>That’s the problem we’re solving. Bluerails tells you exactly where you stand in the AI layer, how you compare to competitors, and what to fix; then takes you all the way through to getting discovered, booked, and paid by agents directly. <\/p>\n<p>Try our free Discovery report today and see how visible your business is to AI agents. Would love to hear what you find! \ud83d\ude0a <\/p>\n<p>Gurveen <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>7<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Most “get discovered by AI” pitches boil down to structured data and a sitemap. The payment layer is what makes this different, and also where I’d want to understand the mechanics better. When an agent “pays” you through Bluerails, what’s actually happening: is there a wallet layer, a per-query micropayment, a subscription the agent operator sets up in advance? And on the discovery side, curious whether you’re building a proprietary index that agents query directly or whether you’re influencing how existing models surface your content through retrieval.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>Hi <a href=\"https:\/\/www.producthunt.com\/@fberrez1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fberrez1<\/a> its true about the structured data and a sitemap, but depending on the vertical you’re in different types of content and backlinks are also important.<\/p>\n<\/p>\n<p>You asked a very incisive question about Agentic payments, the answer is two out of the three you mentioned:<br \/>1. A wallet-layer: This allows agents to actually withdraw\/deposit funds and make payments and bookings. This is the main payment layer that we are using in the hospitality space.<\/p>\n<p>2. Per-query micropayments: We support the x402 and MPP protocols that allow us to do micropayments. We have partnered with AllUnity to enable these micropayments for publishers\/newsletters <a href=\"https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:7473648168367349760\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:7473648168367349760\/<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Great launch \ud83d\ude42 The story behind Passionfroot and marketplace evolution makes the vision feel credible.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@roopreddy\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@roopreddy<\/a> Thanks, sir!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>As a SaaS founder, I genuinely don’t know how discoverable my product is to AI agents today. Interested to try this out. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@syed_shayanur_rahman\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@syed_shayanur_rahman<\/a> Awesome, give it a spin and sign up <a href=\"https:\/\/discovery.bluerails.com\/signup\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">here<\/a>. Happy to give you a deep-dive personally.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch \ud83d\ude0a The combination of discovery analytics and payments makes this feel more complete.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@zerotox\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zerotox<\/a> Thanks!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This stuff is going to be so crazy relevant to businesses in the future. \u201eI\u2019ve found you through chazgpt \/ Claude research\u201c is ALREADY out of date<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@julius_bachmann\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@julius_bachmann<\/a> Agreed! That’s clearly going to be relevant for so many companies much faster than they think today.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>We’ve been hitting walls for optimizing our ranks for the the AI chats. This is useful! Will surely give it a shot.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@darsshan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@darsshan<\/a> Awesome to hear! Please share your feedback with us whenever you have it!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch, <a href=\"https:\/\/www.producthunt.com\/@j_mannanal\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"j_mannanal\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@j_mannanal<\/a> & team! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@peter_tribelhorn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@peter_tribelhorn<\/a> Thanks, Peter!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’m loving the free report!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@csells99\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@csells99<\/a> You are welcome, sir! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This reminds me of early SEO tooling. Feels like we’re watching a completely new optimization category emerge.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ranjan_kumar45\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ranjan_kumar45<\/a> its already happening. We didn’t have the tools to measure and optimise on it until now<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ranjan_kumar45\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ranjan_kumar45<\/a> Yes, not just SEO, but also Payment tooling! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hi <a href=\"https:\/\/www.producthunt.com\/@gurveen_ghai\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"gurveen_ghai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gurveen_ghai<\/a> congrats!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@danielwayne\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@danielwayne<\/a> Thanks a lot! Always good to have feedback from the community \ud83d\ude0a <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@gurveen_ghai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gurveen_ghai<\/a>  <a href=\"https:\/\/www.producthunt.com\/@danielwayne\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@danielwayne<\/a> Thanks a lot! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Super interesting, do you also have api support?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>Hey <a href=\"https:\/\/www.producthunt.com\/@berkant_ay\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@berkant_ay<\/a> , we can absolutely provide api support. If you reach out to <a href=\"mailto:operations@bluerails.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">operations@bluerails.com<\/a>, we would be happy to understand your needs better and and get this going. You can also signup to the waitlist <a href=\"https:\/\/discovery.bluerails.com\/signup\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/discovery.bluerails.com\/signup<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Amazing launch, congratulations! Do you already have plans for how pricing will look like for this? Couldn’t find it on the website \ud83d\ude42 <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@matthiasrossini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@matthiasrossini<\/a> Yes, our Base Report is available through our “Visibility” tier for 129$\/ month, the “Action” tier (which is basically us optimising for Agent Commerce) is at 299$\/ month and the all done for you “Settlement” tier is at 1,999$\/ month <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Amazing launch!! Would this also work for individual airbnb listings? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@quincyle\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@quincyle<\/a> the variables to change would be a bit more limited under a sole airbnb listing, but it can definitely be used<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@quincyle\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@quincyle<\/a> Yes, it could! Happy for you to put us in touch with anyone you could benefit from this! \ud83d\ude0a <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Super interesting! Could this be used for my father\u2018s hotel?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@torben_rabe\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@torben_rabe<\/a> absolutely! You can enter the hotel domain in the form and get your free report<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@torben_rabe\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@torben_rabe<\/a> Yes, in fact hospitality is the vertical we have most customers for! Happy to take your dad through the product! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Super cool to see this – can\u2019t wait to try it \ud83d\udcaa\ud83c\udffb<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@mfreihaendig\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mfreihaendig<\/a> Don’T wait for it, try and tell us about it!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Will this help me collect pizza money from my deadbeat friends who still owe me pizza money for a birthday party I hosted in 2023?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@jordangray\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jordangray<\/a> Great feature request! <a href=\"https:\/\/www.producthunt.com\/@ashwin_kumar46\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"ashwin_kumar46\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ashwin_kumar46<\/a> will prioritise! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Was at Stripe Sessions recently and agentic commerce was a hot topic! Big potential for people who especially start early and grow with it. Congrats on the launch!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The shift from human buyers to AI agents as the discovery layer is underrated \u2014 most tools are still optimizing for Google. Congrats on the launch!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@sabber_ahamed\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sabber_ahamed<\/a> Absolutely. And none help to disintermediate!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The ‘discoverable to AI agents’ half is the sleeper here, and underrated in most of the AI-visibility conversation. Everyone’s still optimizing for human SEO; almost nobody’s asked how an agent acting for a user actually PICKS which business to transact with. I build an agent that makes calls and bookings for people, and that selection step is the whole ballgame \u2014 today it basically inherits search results.<\/p>\n<\/p>\n<p>So the sharp question: once real money routes through a visibility score, you’ve created the strongest incentive in the world to game it \u2014 the same way SEO got gamed the moment it started moving rankings. What keeps the peer-reviewed score trustworthy when it’s deciding where agent dollars flow? Is the 400-sample peer review the anti-gaming moat, or is there a verifiable fulfillment\/settlement signal underneath it? That trust layer feels like the actual product.<\/p>\n<\/p>\n<p>Congrats on the launch \u2014 this is a real frontier.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@getosmo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@getosmo<\/a> great observation, but the 400-sample peer review kills noise. It’s not an anti-gaming moat. Our sampling and calculation methodology kills variance and makes the score reproducible. <\/p>\n<\/p>\n<p>The anti-gaming layer is exactly what you pointed at. You can fake what an LLM says about you: content, citations; the same surface SEO gamed. You can’t fake a settled, fulfilled transaction without actually delivering. Because we’re the rail, the score can be anchored to that behavioral ground truth: did it transact, settle, get fulfilled, what’s the  dispute\/chargeback record? That’s the <strong>Goodhart-resistant<\/strong> <strong>signal<\/strong> and that trust layer is the actual product. <\/p>\n<\/p>\n<p>Visibility is the leading indicator; settlement is the arbiter.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Curious how you think defensibility evolves here. If agent-ready checkout becomes a standard layer implemented by Stripe, OpenAI, or Shopify, what remains the durable moat for Bluerails?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tarqiya_forgah\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tarqiya_forgah<\/a> you’re right agent checkout will commoditize and we at Bluerails are counting down to that day. But checkout is the interface, not the rail. Standardized agent checkout just pushes more volume to whatever settlement, identity and reconciliation layer the enterprise actually trusts. And right now all three things are up for grabs.<\/p>\n<\/p>\n<p>Three things stay defensible:<\/p>\n<p><strong>1.<\/strong> <strong>Fragmentation,<\/strong> <strong>not<\/strong> <strong>consolidation,<\/strong> <strong>is<\/strong> <strong>the<\/strong> <strong>near-term<\/strong> <strong>reality.<\/strong> ~28 agent-payment protocols across settlement \/ authorization\/ identity \/ commerce-lifecycle tiers (x402, AP2, ACP, UCP, Visa TAP, ERC-8004\u2026). No enterprise integrates 28. someone has to be the neutral orchestration + routing + reconciliation layer across them. That’s our game, not the checkout box. The same game was played out across the Fiat rails with <a href=\"https:\/\/payrails.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">payrails.com<\/a> <a href=\"https:\/\/primer.io\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">primer.io<\/a> and <a href=\"https:\/\/yuno.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">yuno.com<\/a> trying to duke it out.<\/p>\n<\/p>\n<p><strong>2.<\/strong> <strong>KYA.<\/strong> Standardized checkout doesn’t answer “which agent, authorized by whom, under what policy, and is it auditable.” That identity\/compliance layer is the hardest unsolved problem and the deepest moat if you’re first.<\/p>\n<p><strong>3.<\/strong> <strong>Regulatory.<\/strong> We’re EU first . The checkout incumbents are US consumer-first; the regulated stablecoin settlement rail for European enterprise isn’t a layer their checkout touches.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tarqiya_forgah\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tarqiya_forgah<\/a> I think Shopify is doing a great job helping E-Commerce brands solve Discovery + Payments. For other industries that combo doesn’t exist. OpenAI and the other AI labs will own discovery, the FinTechs will own settlement, but the (connecting) tissue between those is not occupied. It’s also arguably very vertical-dependent. That’s why we are going to tackle one industry vertical at a time. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>‘Discovery now, agent commerce next’ makes sense, most agent-payment tools jump straight to checkout without figuring out how the agent even finds you.<\/p>\n<\/p>\n<p>How do you handle category bias with the 400 samples? A hotel and a SaaS tool need completely different evaluation criteria.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@elias_motionfy\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@elias_motionfy<\/a> you’re right they absolutely do. We have different weights for each vertical. We break this down here <a href=\"https:\/\/discovery.bluerails.com\/methodology\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/discovery.bluerails.com\/methodology<\/a><\/p>\n<\/p>\n<p>In the paid version of the app we also break this down by how easily a website can determine Agent intent and navigate it to product catalog, checkout and payment.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch! Moving past simple brand-mention tracking into an actual discovery score with native fiat\/stablecoin checkouts is a massive step forward for agentic commerce.<\/p>\n<p>How exactly does your analytics tracker differentiate high-intent purchasing agents from standard scraping bots or basic search crawlers?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@doganakbulut\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@doganakbulut<\/a> thanks for your comment. <em> <\/em>The analytics tracker is the wrong layer to ask that of. Heuristically guessing “purchasing agent vs scraper vs crawler” from user-agents and logs is exactly the noise trap that most tools fall into.<\/p>\n<\/p>\n<p>We differentiate at the rail. A high-intent purchasing agent has to present two things to transact: a <strong>verifiable identity<\/strong> (Web Bot Auth \/ Visa Trusted Agent Protocol \/ ERC-8004) and a <strong>signed authorization mandate<\/strong>. A scraper or search crawler has neither. So it’s structural: intent is the  presence of a cryptographic spend mandate, by construction. No mandate \u2192 crawler noise, and should be treated as such.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@benln\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"benln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@benln<\/a> Congrats on the launch. Really interesting take on where commerce is heading.<\/p>\n<p>Quick question, do payments stay fully on-chain or are you converting to local fiat automatically for merchants?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@benln\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@benln<\/a>  <a href=\"https:\/\/www.producthunt.com\/@parag_j_kalita\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@parag_j_kalita<\/a> Thanks! In Europe, we are partnering with AllUnity (Deutsche Bank, DWS backed) who do the off-ramp to FIAT for merchants. That’s for fully agentic payments. What we are currently focused on is helping our early customer with receiving FIAT via the regular Payment gateways as an intermediary step. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Spend my whole day in attack surface management making sure agents can’t find my stuff. Wild to see one where getting discovered by an agent ends in a payment instead of an incident report. refreshing change of pace, time to point them at our terraform deploy script repos.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@david_mchale\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@david_mchale<\/a> One company’s attack surface is another company’s checkout page \ud83d\ude00 <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congratulations on the launch! \ud83c\udf89<\/p>\n<p>Quick heads-up: the “Book a Demo” CTA in the footer doesn’t seem to be working on my end. Might be worth checking so interested visitors can reach you without friction.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/d677b69c-8c38-4683-b75a-35f9ecab64a3.png?auto=compress,format&codec=mozjpeg&cs=strip\" style=\"max-width: 100%\"><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@priyanktyagi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@priyanktyagi<\/a> thanks for raising this, fixing the CTA now<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch! Thinking about the wallet layer – when an agent books and pays via stablecoin and the booking for example then gets cancelled, or the rate moves before settlement, how does the reversal actually run?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@artstavenka1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@artstavenka1<\/a> for “refunds” in crypto we have a workflow engine that supports refunds, disputes\/chargebacks. Natively supported for fiat currencies and fiat rails<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<blockquote>\n<p>the identity layer is the part most people will overlook. knowing which agents are visiting your site, how often, and whether they’re converting is basically analytics for a post-search world. right now most businesses have no idea how much agent traffic they’re already getting. that visibility alone is worth setting up even before you care about the payment side.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@shubham4real\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@shubham4real<\/a> 100%. Most people can’t even see this signal, so they can’t fight for it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’d love benchmarking against competitors. Knowing my score alone is useful, but context would help.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ragsyme\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ragsyme<\/a> the report also tells you how many times your competitors show up for the same queries. We can already use that to tailor your site’s visibility. <\/p>\n<p>The paid version of the app gives you a detailed breakdown of this competitor analysis<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#2<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/DAOKZ2ZPDUPEKT\" class=\"app-title\">Cotypist<\/a><\/p>\n<div class=\"one-liner\">Local AI Autocomplete in your voice, anywhere on your Mac<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">360<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Cotypist\u662f\u4e00\u6b3e\u5728Mac\u5168\u7cfb\u7edf\u8fd0\u884c\u7684\u672c\u5730AI\u81ea\u52a8\u8865\u5168\u5de5\u5177\uff0c\u4e3a\u7528\u6237\u5728\u90ae\u4ef6\u3001Slack\u3001\u7b14\u8bb0\u7b49\u4efb\u610f\u8f93\u5165\u573a\u666f\u4e2d\uff0c\u901a\u8fc7Tab\u952e\u5feb\u901f\u8865\u5168\u53e5\u5b50\uff0c\u89e3\u51b3\u91cd\u590d\u6253\u5b57\u548c\u601d\u7ef4\u4e2d\u65ad\u7684\u75db\u70b9\uff0c\u540c\u65f6\u786e\u4fdd\u9690\u79c1\u548c\u6570\u636e\u672c\u5730\u5316\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/d6f73e6e-df9c-4b4e-b71b-d9eb422b1ab1.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/8637d2a1-b8d1-4ab7-abb1-5882add5121a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/952bad9c-0f8a-4b14-a154-92f5d61feb3e.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/a5660426-a506-46a0-b45a-f0b21573bc00.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/82a3e849-b4f7-43a2-8395-be93596d2f99.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/75e5eaf6-5779-4161-b565-e1fb5c8539ee.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/K1aFk1XCnLs\"><source src=\"https:\/\/youtu.be\/K1aFk1XCnLs\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Writing<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Mac\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">AI\u81ea\u52a8\u8865\u5168<\/span><br \/>\n <span class=\"tag\">\u672c\u5730\u8fd0\u884c<\/span><br \/>\n <span class=\"tag\">\u9690\u79c1\u4fdd\u62a4<\/span><br \/>\n <span class=\"tag\">\u5199\u4f5c\u6548\u7387<\/span><br \/>\n <span class=\"tag\">\u7cfb\u7edf\u7ea7\u8f93\u5165<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u6253\u5b57\u8f85\u52a9<\/span><br \/>\n <span class=\"tag\">\u751f\u4ea7\u529b\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u79bb\u7ebf\u4f7f\u7528<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u8d5e\u8d4f\u5176\u672c\u5730\u8fd0\u884c\u3001\u4f4e\u5ef6\u8fdf\u548c\u201c\u5982\u5f71\u968f\u5f62\u201d\u7684\u4f53\u9a8c\uff0c\u8ba4\u4e3a\u5b83\u8f6c\u5316\u4e86\u6253\u5b57\u4e60\u60ef\u3002\u4e3b\u8981\u95ee\u9898\u5305\u62ec\uff1a\u4e0emacOS\u539f\u751f\u81ea\u52a8\u7ea0\u6b63\u7684\u6f5c\u5728\u51b2\u7a81\uff08\u5f00\u53d1\u8005\u5efa\u8bae\u4e34\u65f6\u5173\u95ed\uff09\u3001\u7535\u6c60\u7eed\u822a\u4e0eCPU\/GPU\u6548\u7387\u7684\u62c5\u5fe7\uff08\u7528\u6237\u5efa\u8bae\u5229\u7528Apple Neural Engine\uff09\u3001\u4ee5\u53ca\u5bf9Windows\u548ciOS\u7248\u672c\u7684\u70ed\u5207\u671f\u5f85\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Cotypist\u7cbe\u51c6\u5207\u4e2d\u4e86\u201c\u901a\u7528\u8f93\u5165\u6548\u7387\u201d\u8fd9\u4e2a\u88ab\u5ffd\u89c6\u7684\u75db\u70b9\u3002\u5b83\u806a\u660e\u5730\u7ed5\u8fc7\u201c\u5d4c\u5165\u7279\u5b9a\u7f16\u8f91\u5668\u201d\u7684\u9677\u9631\uff0c\u901a\u8fc7\u7cfb\u7edf\u7ea7\u522b\u7684\u76d1\u542c\u548c\u8865\u5168\uff0c\u628aCopilot\u5f0f\u7684\u4f53\u9a8c\u53d8\u6210\u4e86Mac\u7684\u5e95\u5c42\u80fd\u529b\u3002\u8fd9\u79cd\u201c\u53bb\u4e2d\u5fc3\u5316\u201d\u7684AI\u5e94\u7528\u601d\u8def\uff0c\u6bd4\u5355\u70b9\u7a81\u7834\u66f4\u6709\u5546\u4e1a\u60f3\u8c61\u529b\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u5b83\u9762\u4e34\u7684\u6311\u6218\u540c\u6837\u4e25\u5cfb\u3002\u9996\u5148\uff0c\u7528\u6237\u53cd\u9988\u4e2d\u63d0\u5230\u7684\u201c\u7535\u6c60\u7eed\u822a\u201d\u548c\u201c\u4e0e\u7cfb\u7edf\u539f\u751f\u529f\u80fd\u7684\u51b2\u7a81\u201d\u662f\u786c\u4f24\u3002\u4f9d\u8d56CPU\/GPU\u8fdb\u884c\u63a8\u7406\uff0c\u5728M\u7cfb\u5217\u82af\u7247\u4e0a\u4f1a\u663e\u8457\u52a0\u91cd\u529f\u8017\uff0c\u5982\u679c\u672a\u80fd\u6709\u6548\u8c03\u7528Apple Neural Engine\uff0c\u957f\u65f6\u95f4\u4f7f\u7528\u5c31\u4f1a\u53d8\u6210\u7535\u91cf\u6740\u624b\u3002\u5176\u6b21\uff0c\u7528\u6237\u5fc5\u987b\u5173\u95edmacOS\u81ea\u8eab\u7ea0\u9519\u529f\u80fd\u6765\u907f\u514d\u51b2\u7a81\uff0c\u8fd9\u672c\u8d28\u4e0a\u662f\u4ea7\u54c1\u4e0d\u591f\u201c\u987a\u6ed1\u201d\u7684\u8868\u73b0\uff0c\u66b4\u9732\u4e86\u7cfb\u7edf\u96c6\u6210\u7684\u8106\u5f31\u6027\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ece\u8bc4\u8bba\u770b\uff0c\u5f00\u53d1\u8005Daniel\u5bf9\u95ee\u9898\u7684\u56de\u5e94\u504f\u5411\u201c\u5bb9\u5fcd\u73b0\u6709\u95ee\u9898\u201d\u800c\u975e\u201c\u5f7b\u5e95\u89e3\u51b3\u201d\u3002\u4f8b\u5982\u5bf9\u6548\u7387\u95ee\u9898\u7684\u89e3\u91ca\u662f\u201c\u5076\u5c14\u7684\u7b49\u5f85\u53ef\u4ee5\u63a5\u53d7\u201d\uff0c\u800c\u4e0d\u662f\u627f\u8bfa\u6280\u672f\u4f18\u5316\u3002\u8fd9\u79cd\u6001\u5ea6\u5728\u65e9\u671f\u7528\u6237\u7fa4\u4f53\u4e2d\u6216\u8bb8\u53ef\u884c\uff0c\u4f46\u82e5\u8981\u7834\u5708\u8d70\u5411\u66f4\u5e7f\u6cdb\u7684\u666e\u901a\u7528\u6237\uff0c\u7a33\u5b9a\u6027\u3001\u4f4e\u529f\u8017\u548c\u65e0\u611f\u96c6\u6210\u624d\u662f\u5fc5\u4e89\u4e4b\u5730\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u7684\u62a4\u57ce\u6cb3\u5728\u4e8e\u201c\u4f53\u9a8c\u7684\u6709\u673a\u611f\u201d\u2014\u2014\u5b66\u4e60\u7528\u6237\u7684\u8bed\u97f3\u98ce\u683c\u540e\u5b9e\u73b0\u201c\u8111\u8865\u5f0f\u201d\u8865\u5168\uff0c\u4e14\u652f\u6301\u4e0d\u540c\u5e94\u7528\u7684\u81ea\u5b9a\u4e49\u6307\u4ee4\uff0c\u8fd9\u662f\u5927\u5382\u901a\u7528\u6a21\u578b\u96be\u4ee5\u63d0\u4f9b\u7684\u9ad8\u5b9a\u5236\u5316\u4f53\u9a8c\u3002\u4f46\u5176\u957f\u671f\u4ef7\u503c\u53d6\u51b3\u4e8e\u80fd\u5426\u4ece\u201c\u806a\u660e\u7684\u73a9\u5177\u201d\u8fdb\u5316\u4e3a\u201c\u64cd\u4f5c\u7cfb\u7edf\u7684\u57fa\u7840\u7ec4\u4ef6\u201d\u3002\u5982\u679c\u80fd\u5728\u672a\u6765\u7248\u672c\u4e2d\u65e0\u7f1d\u63a5\u7ba1\u6216\u4f18\u96c5\u534f\u540cmacOS\u7684\u8f93\u5165\u7ba1\u9053\uff0c\u5e76\u653b\u514b\u79fb\u52a8\u7aef\u8fd9\u4e00\u66f4\u5927\u6218\u573a\uff0c\u8fd9\u624d\u53ef\u80fd\u6210\u4e3a\u4e00\u4e2a\u65f6\u4ee3\u7ea7\u7684\u751f\u4ea7\u529b\u5de5\u5177\uff0c\u5426\u5219\uff0c\u5b83\u53ea\u80fd\u662f\u4e00\u5c0f\u64ae\u6548\u7387\u72c2\u4eba\u7684\u5c0f\u4f17\u5b9d\u8d1d\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Cotypist<\/span>\n <\/div>\n<div class=\"comment-content\">Cotypist is smart autocomplete for the Mac apps you already write in: Mail, Slack, Notes, docs, even AI prompts. Press Tab when a suggestion fits, or keep typing and watch it update in real time. Runs locally on your Mac. No cloud, no API calls.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey everyone, I’m Daniel, the developer behind Cotypist.<\/p>\n<\/p>\n<p>First, a quick thank-you to the Product Hunt team. After Cotypist launched back in May, they reached out and invited me back for a featured relaunch. I’m honestly a little stunned by that, and very grateful to be here again.<\/p>\n<\/p>\n<p>A few years ago, I noticed I’d developed a weird habit: copying conversations into Visual Studio Code, just to get GitHub Copilot’s inline completions, then pasting them back into the app I should have been writing in. After enough of that, it clicked: autocomplete shouldn’t live in one editor. It should work wherever you write.<\/p>\n<\/p>\n<p>So I built Cotypist. It’s smart autocomplete that runs locally on your Mac (no cloud, no API calls), in basically every app you type into. Install it, give it a minute, and you’re writing faster everywhere on your Mac. No long setup. Tab to accept a suggestion, keep going. Words still sound like you.<\/p>\n<\/p>\n<p>You can download Cotypist today from <a href=\"https:\/\/cotypist.app\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/cotypist.app<\/a>; there’s a free 30-day trial with all the features, and there’s also a free plan for casual use after that.<\/p>\n<\/p>\n<p>During early access, Cotypist has become a daily driver for founders, marketers, support folks, novelists, physicians, academics, and long-time Mac users. People who type a lot of email, Slack, and AI prompts. Plus a long tail I didn’t see coming: non-native English speakers, one-handed typists, and (this still blows my mind!) not one but two Neuralink brain-implant wearers.<\/p>\n<\/p>\n<p>What still surprises me about Cotypist, even after building it, is how often it feels like it’s reading your mind. Or almost like a colleague finishing your sentences.<\/p>\n<\/p>\n<p>Happy to take questions about the product, where it works (and where it doesn’t), what’s coming next, or anything else. I’ll be here all day.<\/p>\n<\/p>\n<p>\u2014Daniel<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>15<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@daniel_a_a\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_a_a<\/a> one of the best desktop apps i tried for a while. i wish it was embedded in ios. but apple will never allow a keyboard that freedom. we already know that from dictation apps<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@daniel_a_a\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_a_a<\/a> Many congratulations Daniel on the launch! \ud83d\ude42 <\/p>\n<p>Daniel reached out to me, and I found Cotypist incredibly novel. We already have tools like Text Blaze for snippets, Wispr Flow and Aqua Voice for dictation, but this is different: it suggests what to write next while you\u2019re typing, anywhere on your Mac. <\/p>\n<\/p>\n<p>The product clearly had real interest behind it since Product Hunt invited Daniel to relaunch, I was happy to support it fully through my hunt. <\/p>\n<\/p>\n<p><strong>A few things stood out to me:<\/strong><\/p>\n<ul>\n<li>\n<p>It runs locally. No cloud, no API calls, and it works offline on your Mac. <\/p>\n<\/li>\n<li>\n<p>It\u2019s fast. Predictions appear in real time, often with no noticeable delay.<\/p>\n<\/li>\n<li>\n<p>It has a low-risk trial. There\u2019s a free 30-day Pro trial, plus a free plan afterward. <\/p>\n<\/li>\n<li>\n<p>It still sounds like you. Cotypist learns your voice, so the output feels like co-typing rather than AI writing.<\/p>\n<\/li>\n<li>\n<p>It works everywhere. It\u2019s not limited to one editor; it works across Mac apps like Mail, Slack, Notes, docs, and AI prompts.<\/p>\n<\/li>\n<li>\n<p>It works when dictation doesn\u2019t. It\u2019s useful in places where speaking out loud isn\u2019t practical, like libraries, meetings, or flights.<\/p>\n<\/li>\n<li>\n<p>It\u2019s built by someone deeply focused on the problem. Daniel has spent two years refining it, and that shows in the quality of the product and the support behind it. <\/p>\n<\/li>\n<\/ul>\n<p>Overall, Cotypist crosses two important thresholds at once: the suggestions are good enough that you actually want to accept them, and fast enough that they never interrupt your flow. <\/p>\n<\/p>\n<p>Give it a try and share your thoughts in the comments. \ud83d\ude42 <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@daniel_a_a\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_a_a<\/a> Kudos on the launch. Quick question: what\u2019s one unexpected real-world use or workflow where Cotypist has surprised you by making a big difference?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I was in on the early release of Cotypist and saw it had great potential. It was then over-eager in the same way that the usual auto-correct is, causing a lot of backspacing. That is now totally gone with the tab completion. Start typing and it will provide a suggestion and if you like it, just press tab, but if not just keep typing. There’s some tweaking when using apps with competing auto-corrects but that’s not hard. If you’ve ever been in a relationship with someone where you get to the point of being able to ccomplete each other\u2019s sentences, this will feel familiar. This goes into the day one new computer setup toolkit.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@technocrat\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@technocrat<\/a> Thank you for the endorsement, Richard! I appreciate your support throughout the early access period and am glad to hear that the improvements I made have made a difference for you. Acknowledged on the conflicts with e.g. the built-in macOS autocorrect; I\u2019ve been thinking whether to offer disabling macOS’ built-in autocorrect when installing Cotypist, but didn\u2019t want to mess with the user\u2019s system settings too much. I\u2019ll keep iterating on it, though!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@daniel_a_a\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_a_a<\/a> I’m curious why Cotypist doesn’t the Apple Neural Engine at least as an option. It’s much more efficient than inference on CPU\/GPU, which would significantly improve concerns about battery life. It would also eliminate the obnoxious “chirping birds” sounds from coil whine as I type (M5 Max).<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>One of my favorite products!!! Can’t believe I’ve been working without it all this time. It’s on the same level as having a voice dictation app \u2014 absolutely essential. Once you start using it, you’ll never go back.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Running a local Gemma model system-wide without choking the GPU is an awesome engineering feat. The privacy angle is a no-brainer, but honestly, just being able to tab-complete in my native flow across Slack and Mail sounds like an instant workflow upgrade.<\/p>\n<p>Out of curiosity, how does Cotypist handle low-level conflicts with native macOS auto-correct features?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@doganakbulut\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@doganakbulut<\/a> In my experience, those conflicts are surprisingly rare. That being said, for the time being, if this is a concern, I recommend to turn off the macOS autocorrect feature; Cotypist already comes with a built-in autocorrect feature for the current word that can even work as soon as you type the wrong letter <em>but before you have even finished typing the (incorrect) word!<\/em><\/p>\n<p>I am thinking about how to even better integrate Cotypist with the macOS autocorrect feature for the future, though.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hand-wrote 51 cold outreach emails to higher ed in CO last week, would have sold a kidney for autocomplete in my own voice. then I see it’s Mac only while I’m staring at my Windows taskbar. genuinely cruel. someone port this.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@david_mchale\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@david_mchale<\/a> Sorry to hear that! If you visit <a href=\"https:\/\/cotypist.app\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/cotypist.app<\/a> from your Windows machine, you should have the option to sign up for a waitlist for a potential Windows version.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How do you keep the first suggestion after an idle pause from eating a cold-read penalty? Do you pin a hot subset or just accept the occasional slow first token? Great work, you guys are on the right path!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@artstavenka1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@artstavenka1<\/a> The current context is often relevant only for a few minutes at a time, which is easy to handle. And in the other cases, the occasional slightly longer wait time is usually acceptable.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Cotypist has completely transformed how I work every single day. Typing is something we all do constantly without thinking, but Daniel has turned it into a seamless, high-productivity experience. For me, it means significantly less effort and a massive boost in speed\u2014honestly, it feels like the app flows with my rhythm and sometimes even refines my thoughts as I type.<\/p>\n<p>The real test of a great tool is how much you miss it when it\u2019s not there. Once you adopt Cotypist, you simply cannot go back. In fact, whenever I have to switch over to a Windows machine or an Android phone, I instantly feel a bit irritated because the experience just feels clunky without it. It has truly become a ‘day-one’ essential for me. <\/p>\n<p>Highly recommended!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@mraza696\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mraza696<\/a> Thank you for sharing your experience! That is exactly the kind of experience I have been aiming for. Glad to hear it\u2019s landing!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Changed the way I type. Forever.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>\u2764\ufe0f<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How Cotypist handles different writing styles across work emails, Slack messages, and personal notes??<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ankur_jeswani\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ankur_jeswani<\/a> Excellent question! Cotypist lets you provide custom instructions to generally tune it to your writing style. In addition, you also have the option to provide <em>additional<\/em> instructions for specific apps, to e.g. follow a more casual tone in Slack while keeping your emails more formal. Plus, Cotypist is also generally quick to pick up on the style of the current conversation, and will also learn from your writing in each app over time.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congratulations on the launch! I’ve been using it for a few months since David Sparks (MacSparky) recommended it. Looking forward to the next stages of this brilliant app \ud83d\ude80<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@atrumgeost\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@atrumgeost<\/a> Thank you, Jorge! David has been a great supporter of Cotypist since the very beginning; I’m really happy that Cotypist has landed well with him and his community. Looking forward to expanding Cotypist even further in the future!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What I found interesting is that typing is one of those things everyone does all day, yet most of us never think about improving it. Small gains in speed and accuracy can compound surprisingly fast over time. Nice reminder that productivity isn’t always about adding more tools.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@harini_mukesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@harini_mukesh<\/a> Indeed! The cool part about Cotypist is that it just accelerates a task you would do anyway \u2014 typing \u2014 without changing your workflow. Just install it, and gain a quick and easy speed boost throughout your day, without the time investment of learning new tools or setting up complex automations.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I love it so much I wish I had it on my phone.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@jathan_mccollum\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jathan_mccollum<\/a> Thank you; I’ll consider a version for iOS \ud83d\ude09<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This app is incredibly useful and I use it daily. It\u2019s crafted with great care.<br \/>Keep up the good work Daniel!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@b2a48b\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@b2a48b<\/a> Thank you for the kind words! I\u2019m glad to hear that the hard work and care I’m putting into Cotypist don\u2019t go unnoticed.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Did you ever compare Copilot’s autocomplete and your own to see which one felt more like you? Curious to hear how most mainstream models compare in terms of speed, ‘correctness’, and any quirks they might have trying to do a similar thing. I’ve definitely fed Claude my slack + conversation history and told it to build a tone profile and write things like I would but it didn’t really sound too much like me haha.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>It’s a really great app. I’ve been using it for a month, and now I can hardly imagine working without it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is one of my favorite apps because it not only helps me type, but also helps me think about what I could type next. It\u2019s like having a personal assistant when I\u2019m stuck for words. It\u2019s been great to see its development over the last year. I\u2019m not sure what else could be added to it, but I\u2019m quite sure that the developers have some tricks up their sleeve.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Local and in my own voice is the exact reason I’d turn this on. Cloud autocomplete always felt off inside Mail and Slack. Does it learn a style per app or share one across everything?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’ve been using <a href=\"https:\/\/www.producthunt.com\/products\/cotypist\" target=\"_blank\" rel=\"noopener\">@Cotypist<\/a> since one of the earliest versions, and it\u2019s been a game changer for me. Can you believe that the sentense you just read was written 100% by <a href=\"https:\/\/www.producthunt.com\/products\/cotypist\" target=\"_blank\" rel=\"noopener\">@Cotypist<\/a>? \ud83d\ude09 Using tabs to accept suggestions is so much faster. I’m addicted to it! Many many many thanks to <a href=\"https:\/\/www.producthunt.com\/@daniel_a_a\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_a_a<\/a> and a lot of hopes that the product is going to grow and find more users and traction. More people should know about it!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The system-wide angle is what actually makes this interesting – not just autocomplete in one app but everywhere you write. I keep context-switching between Slack, email, and docs all day and having suggestions that follow you across all of them without sending anything to the cloud is a real differentiator. Curious how it handles technical jargon and product-specific terms – does it adapt just from usage patterns or is there a way to seed it with your own vocabulary?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@galdayan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@galdayan<\/a> Thanks for the question! Cotypist will use a screenshot of the app you\u2019re typing in as well as the contents of the current text field. This already helps establish context, so that Cotypist’s initial “educated guesses” are already pretty good. On top of that, you can also provide custom instructions (either generally or app-specific) to help Cotypist better adapt to the context; that is a good place to put jargon and product-specific terms in \u2014 but the models are often smart enough to already pick up on those just from the context. For example, the models have already “seen” enough medical and technical terminology that in such contexts the suggestions will often already be appropriate for that domain. And finally, Cotypist also learns from your typing over time, so that also helps it adapt to your writing style without you having to lift a finger!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>“Autocomplete shouldn’t live in one editor” is such a clean framing \u2014 the copy-into-VSCode-and-paste-back habit is painfully real. The local-only choice is what makes me trust it; I build voice\/chat agents and privacy is usually the first objection. Question for you Daniel: how does “in your voice” stay accurate when it can’t phone home \u2014 does it learn per-app (my Slack tone vs my email tone differ a lot), or is it one global style profile?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@david_marko\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@david_marko<\/a> Cotyist learns your voice locally; that does not contradict the local-only choice. The adaptation is a mix of both “global” and context-specific. In addition, you can manually provide custom instructions (either generally or per app or website) to tailor Cotypist\u2019s suggestions even further in certain contexts.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>It’s become a standard part of my tool kit. It keeps surprising me by suggesting not the most generically likely completions, but ones ones that are relevant to what it’s learned about my style andmy topics. It’s a genuine time saver. <\/p>\n<\/p>\n<p>It also ticks the boxes for privacy, starting with the fact that its AI magic happens on your Mac.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@david_weinberger4\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@david_weinberger4<\/a> Thank you for sharing your experience! I\u2019m glad to hear that Cotypist is able to make suggestions that feel like they come from <em>you<\/em>.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Cotypist is awesome. I can’t get through 5 minutes without it. I use it constantly. I used to use Fixkey, but Cotypist is on a whole other level. It helped me write this post!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@phillip_b\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@phillip_b<\/a> Glad to hear that! I am with you on how frequently I use it. Cotypist has already completed 3250 words for me today, which, at about 7.5 hours of computer usage, translates into roughly one word every 8 seconds \ud83e\udd2f<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Since it operates globally across all text inputs, how does Cotypist handle low-level conflicts with native macOS auto-correct features or spelling engines in apps like Obsidian or Mail? Do you actively filter out system suggestions to prevent visual overlapping, or does the tab-completion mechanism override them? Congrats on shipping a very much needed product!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@konstant_gk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@konstant_gk<\/a> Good question! Cotypist automatically offers to disable macOS’ built-in inline text completions when you install it. I similarly recommend disabling built-in autocompletion features in e.g. Gmail and Google Docs; Cotypist’s own suggestions should generally be more useful, anyway.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Cotypist is great! It is even helping me to write this comment.<\/p>\n<\/p>\n<p>The way it is able to so often anticipate what I want to write next is amazing. While at the same time, quickly taking into account changes as I type too.<\/p>\n<\/p>\n<p>Excited to see how it evolves going forward.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@dylanb\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dylanb<\/a> Thank you for the endorsement! I’ve indeed put a lot of effort into making sure that completions update quickly as you type, so even if the initial suggestion isn\u2019t quite right, typing just one or two more letters will often give you exactly the word you were looking for, so that Cotypist still saves you the effort of typing the second half of the word.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I should note that the free plan works a lot better than you might expect, especially if you’re using CoTypist for auto-suggestions and not auto-complete. 100 completed words a day sounds like nothing, but in practice I’ve not hit that limit yet and I use CoTypist everywhere.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@neilio\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@neilio<\/a> Thank you for sharing your experience! The goal has been for the free plan to still be genuinely useful and sufficient for many users, so it\u2019s great to have that confirmed. Enjoy!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>the “no cloud, no API calls” part is what makes this interesting. most AI writing tools send every keystroke to a server, which means your drafts, emails, and half-formed thoughts are all sitting in someone else’s logs. running inference locally sidesteps that entirely. practical question though, how large is the model and how does it handle the tradeoff between suggestion quality and system resource usage? i’d want autocomplete that’s fast enough to not interrupt my typing flow, but local models can get heavy on older machines.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@shubham4real\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@shubham4real<\/a> Hi Shubham, you’ve put your finger on exactly why I built it this way. Sending every keystroke to a server means your drafts and half-formed thoughts live in someone else’s logs, and running inference locally is what avoids that completely. On your practical question, which is the right one to ask:<\/p>\n<\/p>\n<p><strong>Model size.<\/strong> The default is Google’s Gemma 4 E2B, running entirely on your Mac. It’s a few gigabytes on disk, but only about 1 GB of it needs to be in active memory while it’s generating. Even though it’s a multi-billion-parameter model, Cotypist doesn’t keep all of its weights resident at once: part of them are streamed in from disk only as they’re needed, so they never have to sit in GPU memory. That’s a big reason it punches above its weight, you get close to the quality of a much larger model for the footprint of a small one.<\/p>\n<\/p>\n<p><strong>The quality vs. resources tradeoff.<\/strong> Cotypist matches the model to your hardware rather than running one heavy model everywhere. Lighter and older Macs get the roughly 1 GB E2B by default; stronger Macs (the M-series Max and Ultra chips) can step up to the larger E4B, around 2.5 GB in memory, for better suggestions. The heavier models are only offered on machines that can actually run them well, so you won’t accidentally bog down an older Mac, and it winds down and frees that memory when you’re not actively typing.<\/p>\n<\/p>\n<p><strong>Speed.<\/strong> This is the part I’ve spent the most time on, because autocomplete only earns its place if it clears two bars at once: good enough that you usually want to accept it, and fast enough that you’re never waiting on it. Suggestions appear in real time, usually with no noticeable delay, and they keep updating as you write. People run it comfortably even on a base MacBook Air. The honest test for your particular machine is the free trial, so you can feel the speed on your own hardware before deciding anything.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Local-first is the right call for this category. The apps where autocomplete helps most are also where people write sensitive or unfinished material. The Mac-wide layer is the hard UX: suggestions useful enough to accept, quiet enough not to fight the writer.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@krekeltronics\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krekeltronics<\/a> Indeed! In my experience, Cotypist’s suggestions at this point are so often relevant that it’s better to err on the side of showing them. But there’s still the challenge of making sure that you never have to wait for completions to appear, which is why I\u2019ve put a lot of effort into optimizing Cotypist\u2019s performance.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I absolutely love it. The best part is, that it’s constantly improving noticeably by itself. In addition, the developer is very responsive and adds cool features on a regular basis. Absolutely recommended.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@lennarto\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lennarto<\/a> Thank you for the kind words, I really appreciate it!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The best productivity tools disappear into the background. Cotypist seems to fit that philosophy really well. \ud83d\ude00 <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@roopreddy\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@roopreddy<\/a> Indeed! On the other hand, Cotypist being almost invisible does not stop user from relying on it; I’ve even heard from users who thought their Mac was broken when Cotypist was not active.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#3<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/VR33AZJYNUFI26\" class=\"app-title\">OpenArt Director<\/a><\/p>\n<div class=\"one-liner\">Direct cinematic videos through chat<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">360<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>OpenArt Director\u901a\u8fc7\u5bf9\u8bdd\u5f0f\u4ea4\u4e92\uff0c\u8ba9\u7528\u6237\u65e0\u9700\u526a\u8f91\u6280\u80fd\u5373\u53ef\u5bfc\u6f14\u957f\u8fbe5\u5206\u949f\u3001\u89d2\u8272\u4e0e\u573a\u666f\u9ad8\u5ea6\u4e00\u81f4\u7684\u7535\u5f71\u7ea7AI\u89c6\u9891\uff0c\u89e3\u51b3\u4f20\u7edfAI\u89c6\u9891\u521b\u4f5c\u4e2d\u526a\u8f91\u7e41\u7410\u3001\u4e00\u81f4\u6027\u5dee\u3001\u7075\u611f\u788e\u7247\u5316\u7684\u95ee\u9898\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0c86b387-4555-4266-a41c-33f4a9fc1b4b.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0c287851-2134-411c-8e73-ba3368ca416f.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/d463e98d-392f-4b11-92d5-0f13328eeaa4.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/6ca6cc95-3e68-4310-b651-153d89e096c7.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/3f1e2bef-2f7a-4b12-a1c2-9415b8673a8a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/399fd54d-d5c1-480c-8c13-f967439a193c.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/cc00bf20-c11f-43df-b09e-0b6bc6f94f94.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/Rh7NXgTBqLE\"><source src=\"https:\/\/youtu.be\/Rh7NXgTBqLE\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Design Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Video<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u89c6\u9891\u751f\u6210<\/span><br \/>\n <span class=\"tag\">\u5bf9\u8bdd\u5f0f\u5bfc\u6f14<\/span><br \/>\n <span class=\"tag\">\u89d2\u8272\u4e00\u81f4\u6027<\/span><br \/>\n <span class=\"tag\">\u7535\u5f71\u7ea7\u89c6\u9891<\/span><br \/>\n <span class=\"tag\">\u6545\u4e8b\u521b\u4f5c<\/span><br \/>\n <span class=\"tag\">AI\u521b\u610f\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u89c6\u9891\u7f16\u8f91<\/span><br \/>\n <span class=\"tag\">\u5185\u5bb9\u521b\u4f5c\u5e73\u53f0<\/span><br \/>\n <span class=\"tag\">OpenArt<\/span><br \/>\n <span class=\"tag\">\u957f\u89c6\u9891\u751f\u6210<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u9ad8\u5ea6\u8ba4\u53ef\u201c\u5bf9\u8bdd\u5f0f\u5bfc\u6f14\u201d\u7406\u5ff5\uff0c\u8ba4\u4e3a\u5176\u907f\u514d\u4e86\u4f20\u7edf\u5de5\u5177\u63d0\u793a\u8bcd\u5de5\u7a0b\u7684\u7e41\u7410\u3002\u7126\u70b9\u96c6\u4e2d\u5728\uff1a\u89d2\u8272\u548c\u573a\u666f\u957f\u7247\u4e00\u81f4\u6027\u662f\u5426\u771f\u7684\u53ef\u9760\uff1b\u5bf9\u5df2\u6709\u811a\u672c\u548c\u7d20\u6750\u7684\u517c\u5bb9\u6027\uff1b\u5546\u4e1a\u5316\u4f7f\u7528\u653f\u7b56\uff1b\u4ee5\u53caFilmmaker\u4e0eMarketer\u4f7f\u7528\u573a\u666f\u5dee\u5f02\u3002\u5f00\u53d1\u56e2\u961f\u627f\u8bfa\u901a\u8fc7\u5de5\u4f5c\u6d41\u4fdd\u8bc1\u4e00\u81f4\u6027\uff0c\u5e76\u652f\u6301\u7528\u6237\u81ea\u5e26\u8d44\u4ea7\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n OpenArt Director\u7684\u201c\u51fa\u724c\u903b\u8f91\u201d\u786e\u5b9e\u6f02\u4eae\u2014\u2014\u5b83\u4e0d\u662f\u53c8\u4e00\u4e2a\u6587\u751f\u89c6\u9891\u5de5\u5177\uff0c\u800c\u662f\u8bd5\u56fe\u7528\u5bf9\u8bdd\u91cd\u6784\u89c6\u9891\u521b\u4f5c\u7684\u201c\u63a7\u5236\u6743\u201d\u3002\u8fd9\u4e2a\u4ea7\u54c1\u5207\u4e2d\u4e86\u4e00\u4e2a\u6838\u5fc3\u77db\u76fe\uff1a\u5f53\u524dAI\u89c6\u9891\u751f\u6210\u7684\u70ed\u6f6e\u50ac\u751f\u4e86\u6d77\u91cf\u96f6\u6563\u7247\u6bb5\uff0c\u4f46\u771f\u6b63\u7684\u6545\u4e8b\u521b\u4f5c\u9700\u8981\u7684\u662f\u201c\u5bfc\u6f14\u601d\u7ef4\u201d\u800c\u975e\u201cPrompt\u5de5\u7a0b\u201d\u3002\u5c06\u590d\u6742\u7684\u8fde\u7eed\u753b\u9762\u3001\u89d2\u8272\u4e00\u81f4\u6027\u3001\u955c\u5934\u8bed\u8a00\u5305\u88c5\u8fdb\u201c\u81ea\u7136\u804a\u5929\u201d\u7684\u4ea4\u4e92\u91cc\uff0c\u662f\u964d\u4f4e\u521b\u4f5c\u95e8\u69db\u6700\u4f18\u96c5\u7684\u505a\u6cd5\u3002\u4ece\u6280\u672f\u5c42\u9762\u770b\uff0c\u56e2\u961f\u6562\u6253\u201c5\u5206\u949f\u4e00\u81f4\u6027\u201d\u8fd9\u4e2a\u786c\u4ed7\uff0c\u8bf4\u660e\u5728\u5e95\u5c42\u5de5\u4f5c\u6d41\u4e0a\u4e0b\u4e86\u529f\u592b\uff08\u5982\u7528\u6237\u56de\u5e16\u4e2d\u900f\u9732\u7684\u201c\u81ea\u52a8\u573a\u666f\u8c03\u5ea6\u201d\uff09\uff0c\u8fd9\u6bd4\u76f2\u76ee\u5377\u753b\u8d28\u66f4\u6709\u610f\u4e49\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u5fc5\u987b\u6307\u51fa\uff0c\u4ea7\u54c1\u7684\u771f\u5b9e\u58c1\u5792\u4e0d\u5728\u4e8e\u201c\u5bf9\u8bdd\u201d\u8fd9\u4e2a\u524d\u7aefUI\uff0c\u800c\u5728\u4e8e\u540e\u7aef\u7684\u201c\u65e0\u611f\u8fde\u7eed\u6027\u5f15\u64ce\u201d\u3002\u8bc4\u8bba\u4e2d\u53cd\u590d\u51fa\u73b0\u7684\u201c\u89d2\u8272\u6f02\u79fb\u201d\u3001\u201c\u957f\u7bc7\u53d9\u4e8b\u903b\u8f91\u201d\u7b49\u6838\u5fc3\u8d28\u7591\uff0c\u672c\u8d28\u662f\u5bf9AI\u751f\u6210\u8fc7\u7a0b\u53ef\u63a7\u6027\u7684\u62f7\u95ee\u3002\u4e00\u65e6\u89c6\u9891\u53d8\u957f\u3001\u60c5\u8282\u53d8\u590d\u6742\uff0c\u5355\u7eaf\u4f9d\u8d56\u5bf9\u8bdd\u4fee\u6b63\u53ef\u80fd\u4f1a\u9677\u5165\u201c\u6bcf\u6539\u4e00\u6b21\u5c31\u91cd\u6765\u201d\u7684\u5faa\u73af\uff0c\u79bb\u201c\u5bfc\u6f14\u201d\u7684\u76f4\u89c9\u5f0f\u3001\u975e\u7ebf\u6027\u5de5\u4f5c\u6d41\u4ecd\u6709\u8ddd\u79bb\u3002\u6b64\u5916\uff0c\u5bf9\u7248\u6743\u68c0\u6d4b\u3001\u5546\u4e1a\u5316\u4f7f\u7528\u6743\u7684\u660e\u786e\u56de\u5e94\u662f\u52a0\u5206\u9879\uff0c\u663e\u9732\u51fa\u56e2\u961f\u5bf9B\u7aef\u843d\u5730\u7684\u91ce\u5fc3\u3002\n <\/p>\n<p class=\"ai-content\">\n \u957f\u8fdc\u770b\uff0cOpenArt Director\u7684\u771f\u6b63\u4ef7\u503c\u4e0d\u662f\u505a\u4e00\u4e2a\u66f4\u806a\u6167\u7684\u89c6\u9891\u751f\u6210\u5668\uff0c\u800c\u662f\u6210\u4e3a\u201cAI\u65f6\u4ee3\u7684\u81ea\u7136\u8bed\u8a00\u7535\u5f71\u7f16\u8f91\u5668\u201d\u3002\u5b83\u8bd5\u56fe\u628a\u201c\u7528\u8bed\u8a00\u7cbe\u51c6\u63cf\u8ff0\u753b\u9762\u201d\u8fd9\u4e00\u9ad8\u95e8\u69db\u6280\u80fd\u8fd8\u7ed9\u7528\u6237\uff0c\u4f46\u201c\u5bfc\u6f14\u201d\u8fd9\u4e00\u6982\u5ff5\u80cc\u540e\u5305\u542b\u7684\u8282\u594f\u3001\u60c5\u7eea\u3001\u5149\u5f71\u8c03\u5ea6\u7b49\u4e13\u4e1a\u80fd\u529b\uff0c\u7ec8\u7a76\u4e0d\u80fd\u5b8c\u5168\u88ab\u5bf9\u8bdd\u66ff\u4ee3\u3002\u80fd\u5426\u5728\u201c\u6781\u7b80\u4ea4\u4e92\u201d\u4e0e\u201c\u4e13\u4e1a\u53ef\u63a7\u201d\u4e4b\u95f4\u627e\u5230\u5e73\u8861\uff0c\u624d\u662f\u5b83\u4ece\u201c\u6709\u8da3\u201d\u8d70\u5411\u201c\u5fc5\u9700\u201d\u7684\u5173\u952e\u3002\u76ee\u524d\u6765\u770b\uff0c\u5b83\u66f4\u50cf\u4e00\u4e2a\u8d85\u7ea7MVP\uff0c\u4e0b\u534a\u573a\u8003\u9a8c\u7684\u662f\u5982\u4f55\u628a\u201c\u5bf9\u8bdd\u201d\u6c89\u6dc0\u4e3a\u771f\u6b63\u7684\u201c\u521b\u4f5c\u64cd\u4f5c\u7cfb\u7edf\u201d\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">OpenArt Director<\/span>\n <\/div>\n<div class=\"comment-content\">OpenArt Director lets you create cinematic AI videos simply by chatting. Generate videos up to 5 minutes long with consistent characters, scenes, voice, music, and visual style throughout. Director develops story arcs, plans scenes, maintains continuity, and helps refine videos through natural conversation – acting more like a creative director than a traditional video generator. You’re not generating clips anymore – you’re directing stories.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey Product Hunt community \ud83d\udc4b<\/p>\n<p>Coco here, co-founder and CEO of <a href=\"https:\/\/www.producthunt.com\/products\/openart\" target=\"_blank\" rel=\"noopener\">@OpenArt AI<\/a> . We are excited to share with you what our team has been working on for the past few months – <strong>OpenArt Director<\/strong>.<\/p>\n<p>Last year, we launched OpenArt One-Click Video Story on Product Hunt with one belief: AI video should make visual storytelling accessible to everyone.<\/p>\n<p>Since then, we\u2019ve watched millions of creators use OpenArt to make music videos, character stories, social content, and cinematic films. <\/p>\n<p>Along the way, we learned something important: creators didn\u2019t just want a one-click result.<\/p>\n<p>They wanted to shape the story.<\/p>\n<p>They wanted to guide the pacing.<\/p>\n<p>They wanted to refine the video until it felt right.<\/p>\n<p><strong>They wanted to direct.<\/strong><\/p>\n<p>So today, we\u2019re launching OpenArt Director – the next step in our vision for creative storytelling.<\/p>\n<p>Director is a creative environment for <strong>creating cinematic videos through natural direction and conversation<\/strong>.<\/p>\n<p>Start with an idea, script, image, song, voice, product, character, or even just a feeling. OpenArt Director helps you develop the story, generate the video, and refine it through conversation – while maintaining consistency across characters, visuals, voice, music, sound, and style.<\/p>\n<p>Whether you’re making a short film, a product ad, a music video, a social campaign, or simply bringing a story to life, Director keeps you in the creative seat from beginning to end.<\/p>\n<p>You\u2019re not prompting anymore.<\/p>\n<p><strong>You\u2019re directing.<\/strong><\/p>\n<p>Director is a continuation of the same mission we’ve been pursuing from day one: <strong>making visual storytelling accessible to everyone<\/strong>.<\/p>\n<p>We’d love for you to try it out and tell us what you think \u2764\ufe0f<\/p>\n<p>Coco<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>196<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@cocoopenart\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@cocoopenart<\/a> OpenArt Director really changes how people would create videos – from prompting scenes and stitching them together, to just simply chatting. You can ideate, brainstorm characters, change almost everything, and iterate, until you get the final piece, all via chat.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>46<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@cocoopenart\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@cocoopenart<\/a> merhaba ben bu \u00f6zellige gercekten bay\u0131ld\u0131m ayr\u0131ca mcp ozelligi de \u00e7ok iyi oldugunu s\u00f6ylemek isterim art\u0131k sadece bize dogru fikri bulmak kald\u0131 \ud83d\udc4d<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>18<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@cocoopenart\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@cocoopenart<\/a> Congratulations! Honestly the workflow here is more interesting to me than the underlying tech, which is rare!! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The “direct through chat” framing is interesting because the hard part of cinematic video isn’t describing what you want, it’s maintaining consistency across cuts. Shot matching, lighting continuity, subject appearance staying stable from scene to scene. Curious whether OpenArt Director handles that continuity layer or whether you’re essentially getting a series of independent generations that you have to stitch and grade yourself. Also wondering what “cinematic” actually means in terms of the underlying model, whether you have control over aspect ratio, frame rate, and depth-of-field behavior, or whether those are fixed aesthetic presets baked into the output.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>30<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@fberrez1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fberrez1<\/a> well put! We handle the consistency layer via our workflow, so that the user doesn’t have to repeatedly generate shots and pray that they stay consistent. And yes you can pick you aesthetic style, aspect ratio, etc. – you just need to say it. Different frame rate is currently not yet supported.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>25<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Love the vision of moving from generating clips to directing stories. I’ve tried a few AI video tools and found that maintaining character consistency and narrative continuity over multiple scenes is still so hard. I am curious what OpenArt Director does differently when a story becomes longer and more complex? How much of the directing process is truly conversational versus requiring manual corrections along the way?<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>20<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@luki_notlowkey\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@luki_notlowkey<\/a> Great insight and question. The process for the user is truly conversational – you just need to chat to tell OpenArt Director where to edit (e.g., “this shot doesn’t look like me, pls change”). What we have set up the system to work in the background is more complex, so that the inconsistency shows up less; and when it does, you can just chat to let it fix for you.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>25<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Keeping characters and style consistent is impressive. Can this work with existing footage and assets, or is it designed primarily around AI generated content? Congrats on the launch!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>10<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@henry_habib\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@henry_habib<\/a> thanks Henry! It works on both. Bring your own assets as a reference, and we can follow the character \/ style as you wish.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Is there a real learning curve here, or is the first video genuinely something I could make in an afternoon with zero prep? Asking as someone with no editing background.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>10<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@robin_xw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@robin_xw<\/a> All you need is a sentence describing what story you want to create. Think of it as Claude Code for video creation – you don’t need to know coding, and you sure don’t need to know editing!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>44<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">@stella_guan That\u2019s indeed impressive<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Just cut a demo video for an enterprise deal, spent more time corralling clips than actually telling the story. “directing not generating” is exactly the gap. if it nails continuity over 5 min that’s a real unlock. Would love to be able to stitch product demo video with B-roll and some character environment interactions so we could have laptop-side conversations that lead into product demo segments.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>9<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@david_mchale\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@david_mchale<\/a> Instead of stitching product demo & B-roll & character environment interactions after generation, try talking to OpenArt Director and asking it to deliver just that. Hopefully that’ll do the job directly! But if it doesn’t, come tell us, and we will work on it =)<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>29<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Our team put in a lot of effort and time to create an agent product that offers superior video quality and stability in the market. Feel free to give it a try – we’re sure it’ll be your best helper<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>8<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love watching OpenArt Evolve from one click stories to actually letting creators shape the whole thing, directing a 5 min video just by chatting feels like a real unlock.<\/p>\n<p>Huge Congrats on Launch! <a href=\"https:\/\/www.producthunt.com\/products\/openart\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"openart\" target=\"_blank\" rel=\"noopener\">@OpenArt AI<\/a> <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@umar_saleem\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@umar_saleem<\/a> thanks Umar!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>If I make videos with Director and monetize them on YouTube, am I allowed to? Any restriction on commercial\/monetized use of the output?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@phoenixhu\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@phoenixhu<\/a> you’re allowed as long as you have the copyright for the image\/music\/character that you bring to Director. To prevent unintended copyright infringement, we also offer a copyright detection feature on the platform.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>If I already have a finished script, does Director help me visualize it as-is, or does it want to rewrite the thing on me? I’m protective of the words.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@irene_wang5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@irene_wang5<\/a> it can follow your script precisely if you tell it to<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Most AI video tools feel like prompt engineering with extra steps. This is the first one that reads like a genuinely different philosophy, not just a nicer wrapper.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@fayann\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fayann<\/a> That’s probably the biggest shift we’re trying to make. Most creators don’t actually think in prompts – they think in stories, characters, pacing, and emotions. We wanted the whole workflow to reflect that instead of forcing people to translate their ideas into prompt syntax.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Filmmakers and marketers probably use something like this completely differently. Curious whether you’re seeing that split already.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@new_user___1742026db9d5ee155d02c1a\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@new_user___1742026db9d5ee155d02c1a<\/a> Yes, very differently. Filmmakers focus on cinematic shots, camera language, story setup, while marketers cares about brand consistency, speed, and fast cuts. So trying to fulfill both demands have been one of the biggest challenges for Director – and hopefully we got it right.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’ve tried quite a few AI image tools, and the challenge is rarely generating the first image, it’s getting from 80% to exactly what you had in mind. I like that OpenArt seems focused on giving creators more control over the creative process rather than just generating images faster.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@harini_mukesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@harini_mukesh<\/a> Harini you’re spot on! We want to make sure that the creation process is easy and the result is what you expected (or even more!)<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How does it handle reference images? If I feed it a character design, does that character actually persist across the full five minutes, or does it quietly drift by the end like most tools do?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@lee_dolly\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lee_dolly<\/a> Feed in the character design and it’s built to persist – face, voice, clothing, physicality – from minute one to minute five. Holding that consistency across a full piece was the core problem we set out to crack, so if you ever see drift, that’s exactly the feedback we want to hear.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Great launch! Congrats to the team!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@gjdaniel99\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gjdaniel99<\/a> Thanks Daniel for the support as always!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>“Vibe Directing” is such a cool concept. I’m so excited to see the continued progress in the field! I remember often that this was a science experiment 4 years ago, and a bit of a joke 2 years ago. Today, AI creative is starting to get really good… not perfect, but really really good. At this rate of improvement, 2027 is going to be mind-blowing!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I have seen many platforms… Used many of them to give a visual treat to my audience, but it’s sometime complicated when giving the instructions and explain the complex scene, but honestly the <a href=\"https:\/\/www.producthunt.com\/products\/openart\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"openart\" target=\"_blank\" rel=\"noopener\">@OpenArt AI<\/a> and specially openart Director it’s just wow \ud83e\udd2f now I can save my time, only I need to chat about the story and the special requirements. Honestly if you guys can open a new thing like this im expecting more \u2764\ufe0f ( future of the Big screen industry ) <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@babajebin\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@babajebin<\/a> thanks for the kind words! We hope to cover the big screen, and in fact, videos made by OpenArt Director will soon be airing on some big screens in cinemas across the US! Come find us!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Character consistency across a 5-minute AI video is genuinely one of the hardest problems in this space – every tool I’ve tested struggles with face drift and lighting shifts between cuts. Would love to know how Director actually handles it under the hood, and whether that 5-min cap is a hard ceiling or just where quality starts degrading noticeably. Also curious what the chat-based direction looks like in practice – are you describing shots and moods in plain language, or is there more structured control for specific elements like camera angle or pacing?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@galdayan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@galdayan<\/a> thanks Gal for the thoughtful question! 5-min is not a hard ceiling – we have users that generate 11-min music videos! But we are modest by saying 5-mins as that’s the length which we’ve tested significantly. Chat-based experience is fully based on your habit – you can give very high-level instructions or super detailed instruction, and it can handle both.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>23<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This gave me super powers, as I never thought I’d be “creative media person”. Awesome product and launch!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@wilson_kyi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@wilson_kyi<\/a> we believe everyone is a creative media person – with the right tools =)<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>So excited to see what people create with OpenArt Director!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How granular is the brand integration, really? I need it to hold a tone of voice and a specific typographic system across a whole series, not just slap a logo in the corner.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@alstonzhuang\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@alstonzhuang<\/a> voice – yes. Brand kit – yes and we are further refining this version so that marketers can really rely on the tool for on-brand content.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The gap between having an idea and actually being able to explore it looks a lot smaller here than anywhere else. That gap is where most of my ideas usually die.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Finally an AI tool that creates complete story arcs, not just random short clips.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is awesome! I’ve used OpenArt before, but I can’t wait to try out the new feature for making some longer form ads.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@rob_blaine\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rob_blaine<\/a> welcome back! Director works well with long-form ads (either narrative or visual effects)<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love that I can iterate on a scene without regenerating the whole thing. Saves so much time and credits.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on this launch! It’s amazing!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch, I really want to try it, hopefully I’ll find an easy tool to give life to some of my cinematic ads ideas! What’s the pricing (translated in minute or number of videos I can get ideally)?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I keep wondering if the future of AI video is just fewer prompts and more actual conversation. This reads like a bet on exactly that.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@suryansh_tiwari2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@suryansh_tiwari2<\/a> that’s exactly the future (or should I say present) that we are building towards<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>If I come in with a rough storyboard already done, does Director throw it out and do its own thing, or actually build on what I bring?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@chengfeng\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@chengfeng<\/a> it builds on your rough script \/ storyboard and helps you to finish the story as you wish. So give it a try with a script, a storyboard, or just a line of idea!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Most AI video tools are prompt roulette. OpenArt Director actually feels like directing\u2014storyboard, shots, timeline, export. The AI collaborator has taste, not just templates. I went from a rough idea to a finished short without juggling five apps. Finally, AI video that thinks in scenes, not slots.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@cefeng06\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@cefeng06<\/a> Thanks and please show us what you created!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#4<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/HIY25VKCAQE45I\" class=\"app-title\">Latitude<\/a><\/p>\n<div class=\"one-liner\">Fix what’s breaking in your AI agent<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">322<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Latitude\u662f\u4e00\u6b3e\u5f00\u6e90\u7684AI Agent\u76d1\u63a7\u5e73\u53f0\uff0c\u80fd\u81ea\u52a8\u68c0\u6d4b\u751f\u4ea7\u73af\u5883\u4e2dAgent\u7684\u5404\u7c7b\u5931\u8d25\u6a21\u5f0f\uff0c\u5e76\u901a\u8fc7MCP\u670d\u52a1\u5668\u5c06\u95ee\u9898\u4fe1\u53f7\u76f4\u63a5\u6ce8\u5165\u5f00\u53d1\u8005\u7684\u7f16\u7801\u73af\u5883\u4e2d\uff0c\u5b9e\u73b0\u4ece\u53d1\u73b0\u5230\u4fee\u590d\u7684\u95ed\u73af\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/fc32a0ce-5fe0-42cd-a065-c282a2c2b5de.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/160d0105-1b7a-4b39-bbbb-e3dcc9573c64.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f51ac7c6-3891-4140-a776-198451008330.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/70a82376-5407-4607-9058-ce42a19994d0.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/0fdc8c5f-65d1-4c74-8929-6cfe9676c295.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/tgg1aJ8wxqg\"><source src=\"https:\/\/youtu.be\/tgg1aJ8wxqg\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">GitHub<\/span><br \/>\n <span class=\"tag\">Data & Analytics<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u9ad8\u5ea6\u5173\u6ce8\u4ea7\u54c1\u201c\u4ece\u65e5\u5fd7\u5230\u95ee\u9898\u4fe1\u53f7\u201d\u7684\u5b9a\u4f4d\uff0c\u591a\u6570\u63d0\u95ee\u96c6\u4e2d\u5728\uff1a\u6570\u636e\u662f\u5426\u53ef\u81ea\u6258\u7ba1\u3001\u5b89\u88c5\u540e\u662f\u5426\u53ef\u56de\u6eaf\u5386\u53f2\u4f1a\u8bdd\u3001\u5982\u4f55\u533a\u5206\u771f\u6b63\u7684\u5931\u8d25\u4e0e\u9884\u8bbe\u7684\u5347\u7ea7\/\u8f6c\u4eba\u5de5\u3001\u81ea\u52a8\u751f\u6210\u7684\u8bc4\u4f30\uff08Eval\uff09\u5982\u4f55\u907f\u514d\u8fc7\u62df\u5408\u4e8e\u7279\u5b9a\u5931\u8d25\u6848\u4f8b\u3001\u4e3b\u89c2\u8d28\u91cf\uff08\u5982\u56de\u590d\u6b63\u786e\u4f46\u7528\u6237\u611f\u53d7\u5dee\uff09\u5982\u4f55\u8bc4\u4f30\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n \u5728AI Agent\u76d1\u63a7\u8fd9\u4e00\u5feb\u901f\u62e5\u6324\u7684\u8d5b\u9053\uff0cLatitude\u7684\u521d\u521b\u56e2\u961f\u5c55\u793a\u4e86\u5bf9\u5f00\u53d1\u8005\u771f\u5b9e\u75db\u70b9\u7684\u6df1\u523b\u6d1e\u5bdf\u2014\u2014\u800c\u975e\u7b80\u5355\u590d\u523bAPM\u5de5\u5177\u3002\n <\/p>\n<p class=\"ai-content\">\n **\u4ef7\u503c\u6838\u5fc3\u5728\u4e8e\u201c\u4fe1\u53f7\u52a0\u5de5\u201d\u800c\u975e\u201c\u6570\u636e\u5c55\u793a\u201d**\u3002\u7edd\u5927\u591a\u6570\u89c2\u6d4b\u5de5\u5177\u505c\u7559\u5728\u201c\u7ed9\u4f60\u66f4\u7f8e\u7684\u65e5\u5fd7\u201d\uff0c\u800cLatitude\u7684\u5173\u952e\u4e00\u6b65\u662f\u201c\u628a\u65e5\u5fd7\u53d8\u6210\u5f85\u529e\u4e8b\u9879\u201d\u3002\u81ea\u52a8\u805a\u7c7b\u5931\u8d25\u6a21\u5f0f\uff0c\u5e76\u5c06\u6bcf\u4e2a\u6a21\u5f0f\u7ed1\u5b9a\u4e00\u4e2a\u53ef\u590d\u73b0\u7684\u8bc4\u4f30\u7528\u4f8b\uff0c\u8fd9\u4e00\u8bbe\u8ba1\u76f4\u51fb\u5f00\u53d1\u8005\u5fc3\u667a\uff1a\u6ca1\u4eba\u4f1a\u53bb\u8bfb\u6d77\u91cf\u65e5\u5fd7\uff0c\u4f46\u6bcf\u4e2a\u4eba\u90fd\u613f\u610f\u4fee\u4e00\u4e2a\u6807\u7ea2\u7684\u6d4b\u8bd5\u3002\u5c06\u95ee\u9898\u62bd\u8c61\u4e3a\u4e00\u7b49\u516c\u6c11\u201c\u4fe1\u53f7\u201d\uff0c\u5e76\u9644\u5e26\u81ea\u52a8\u751f\u6210\u7684Eval\uff0c\u4f7f\u4fee\u590d\u4ece\u201c\u5927\u6d77\u635e\u9488\u201d\u53d8\u6210\u4e86\u201c\u5b9a\u5411\u6d88\u9664Bug\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n **\u201c\u5d4c\u5165\u7f16\u8f91\u5668\u201d\u662f\u771f\u6b63\u7684\u6740\u624b\u950f\uff0c\u4f46\u4e5f\u85cf\u7740\u6700\u5927\u98ce\u9669\u3002** MCP\u670d\u52a1\u5668\u5c06\u4fe1\u53f7\u3001\u8ffd\u8e2a\u3001\u641c\u7d22\u76f4\u63a5\u63a8\u9001\u56de\u7f16\u7801\u73af\u5883\uff0c\u7ed5\u8fc7\u4e86\u4eea\u8868\u76d8\u2014\u2014\u8fd9\u51fb\u4e2d\u4e86\u201c\u89c2\u6d4b\u5de5\u5177\u6b7b\u4e8e\u65e0\u4eba\u67e5\u770b\u201d\u7684\u6b7b\u7a74\u3002\u4f46\u8fd9\u4e00\u95ed\u73af\u4e5f\u5f15\u51fa\u4e86\u4e00\u4e2a\u66f4\u68d8\u624b\u7684\u95ee\u9898\uff1a\u5f53\u7f16\u7801Agent\u6839\u636e\u81ea\u52a8\u751f\u6210\u7684Eval\u505a\u4fee\u590d\u65f6\uff0c\u793e\u533a\u63d0\u51fa\u7684\u201c\u8fc7\u62df\u5408\u98ce\u9669\u201d\u7edd\u975e\u675e\u4eba\u5fe7\u5929\u3002\u76ee\u524d\u56de\u5e94\u672a\u63d0\u53ca\u662f\u5426\u5b58\u5728\u201c\u7559\u51fa\u9a8c\u8bc1\u96c6\u201d\u6216\u201c\u4eba\u5de5\u5ba1\u6838\u73af\u8282\u201d\uff0c\u8fd9\u53ef\u80fd\u5bfc\u81f4Agent\u4fee\u590d\u4e86\u7279\u5b9a\u62a5\u8b66\uff0c\u5374\u5f15\u5165\u4e86\u66f4\u9690\u853d\u7684\u9000\u5316\u3002\u5982\u679c\u56e2\u961f\u4ec5\u4ec5\u4f9d\u8d56\u201cEval\u901a\u8fc7\u5373\u4fee\u590d\u6210\u529f\u201d\uff0c\u8fd9\u4e00\u673a\u5236\u5728\u590d\u6742Agent\u884c\u4e3a\u9762\u524d\u53ef\u80fd\u9677\u5165\u201c\u4fee\u590d\u4e86\u4e00\u4e2abug\uff0c\u5236\u9020\u4e86\u4e09\u4e2abug\u201d\u7684\u8bc5\u5492\u3002\n <\/p>\n<p class=\"ai-content\">\n **\u5c1a\u672a\u56de\u7b54\u7684\u5173\u952e\u95ee\u9898\uff1a** \u5982\u4f55\u533a\u5206\u201c\u6b63\u786e\u7684\u7cfb\u7edf\u7ea7\u8f6c\u4eba\u5de5\u201d\u4e0e\u201c\u65e0\u80fd\u7684Agent\u653e\u5f03\u201d\uff1f\u5728\u7528\u6237\u53cd\u9988\u4e2d\uff0c\u90e8\u5206Agent\u8bbe\u8ba1\u6709\u660e\u786e\u7684\u5347\u7ea7\u7b56\u7565\uff08\u5982\u654f\u611f\u64cd\u4f5c\u8f6c\u4eba\u5de5\uff09\uff0cLatitude\u7684\u805a\u7c7b\u7b97\u6cd5\u82e5\u65e0\u6cd5\u533a\u5206\u8fd9\u7c7b\u9884\u8bbe\u884c\u4e3a\uff0c\u5c06\u4ea7\u751f\u5927\u91cf\u8bef\u62a5\uff0c\u53cd\u800c\u52a0\u5267\u566a\u97f3\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u4f53\u6765\u770b\uff0cLatitude \u5728\u201c\u53d1\u73b0\u95ee\u9898-\u786e\u5b9a\u539f\u56e0-\u5b9a\u4f4d\u4ee3\u7801-\u9a8c\u8bc1\u4fee\u590d\u201d\u94fe\u8def\u4e0a\u8fc8\u51fa\u4e86\u5173\u952e\u4e00\u6b65\uff0c\u4f46\u5b83\u9700\u8981\u5411\u5e02\u573a\u8bc1\u660e\uff1a\u81ea\u5df1\u4e0d\u4ec5\u662f\u66f4\u597d\u7684\u65e5\u5fd7\u805a\u5408\u5668\uff0c\u66f4\u662f\u4e00\u5957\u80fd\u907f\u514d\u201c\u6253\u8865\u4e01\u5f0f\u4fee\u590d\u201d\u7684\u3001\u5177\u5907\u56e0\u679c\u63a8\u7406\u80fd\u529b\u7684\u6545\u969c\u8bca\u65ad\u7cfb\u7edf\u3002\u5982\u679c\u80fd\u5728\u201c\u81ea\u52a8\u751f\u6210Eval\u201d\u73af\u8282\u5f15\u5165\u5bf9\u6297\u6d4b\u8bd5\u6216\u56de\u5f52\u68c0\u67e5\uff0c\u5b83\u5c06\u6210\u4e3aAgent\u5de5\u7a0b\u5316\u8fd0\u7ef4\u7684\u57fa\u7840\u8bbe\u65bd\u7ea7\u4ea7\u54c1\u3002\u5426\u5219\uff0c\u5b83\u53ea\u662f\u53c8\u4e00\u4e2a\u66f4\u597d\u770b\u7684\u770b\u677f\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Latitude<\/span>\n <\/div>\n<div class=\"comment-content\">Open-source AI agent monitoring platform. Latitude automatically detects all the ways your agents fail at scale, and gives your coding agent the tools to fix it.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey there, it’s Cesar, founder of Latitude.<\/p>\n<p>Until now, companies have focused on collecting quantitative data about their products: user counts, churn rates, conversion. Qualitative insight was reserved for corporates who could afford to hire an agency. But agents changed that. We have the single most valuable source of knowledge about our product sitting right in front of us, and we’re not using it. No one at your company talks to your users as much as your agent does. Latitude exists to tap into that.<\/p>\n<p>Latitude does 3 things:<\/p>\n<p><strong>1. See what your agent really does in production<\/strong><\/p>\n<p>Latitude clusters thousands of conversations into one clear picture: what people ask for, and where they hesitate, escalate, or drop off.<\/p>\n<p><strong>2. Catch what’s breaking before users do<\/strong><\/p>\n<p>When your agent keeps failing the same way, Latitude collapses those moments into one signal: the problem, how often it fires, and why. It detects issues automatically, or you set your own. Either way, you hear about problems first, and evals are created automatically for each signal.<\/p>\n<p><strong>3. Fix it without leaving your editor<\/strong><\/p>\n<p>The MCP server brings your signals, traces, and searches straight into your coding agent. Turn real failures into a dataset and verify the fix worked before you ship.<\/p>\n<p>Latitude is open source and MIT licensed. Try it at <a href=\"https:\/\/latitude.so\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">latitude.so<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>13<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@heycesr\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@heycesr<\/a> Interesting positioning. I like the shift from raw logs to actionable issues. Treating failure modes as first-class objects with attached evaluations and states feels much closer to how developers actually debug and improve systems before they reach production.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch! <br \/>Does the install track historical sessions too, or only sessions going forward from when you run the command?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@abod_rehman\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abod_rehman<\/a> only sessions going forward. Time from installation to first trace is very fast, usually < 5 minutes!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Most teams obsess over dashboards and metrics while thousands of conversations go largely unexplored. As agent capabilities improve and user behavior changes, how does Latitude distinguish between a genuine product issue, a prompt\/design issue, and simply a limitation of the underlying model? <\/p>\n<p>Congrats on the launch and for open-sourcing it \ud83d\ude0a<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The “gives your coding agent the tools to fix it” line is what I’d want to see in practice \u2014 most observability tools stop at surfacing the failure mode. When Latitude clusters a set of failures, how does that get back into the coding agent: an MCP server, a CLI, or a generated eval\/test the agent runs against? And since it’s open source, can I self-host so the production conversation traces stay in my own infra, or does evaluation route through your hosted backend?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Honestly the part that gets me is the signal going back into the editor. i don’t need another dashboard to ignore. running cc across a repo per client and the dream is catching the dumb stuff before the client does. Imho this is the right tool for people serious about AI agents!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>My Claude-Gmail agent ghosted me at an approval gate mid-campaign and I spent way too long not knowing why, reconnecting everything, before giving up. “most tools give you logs, Latitude gives you issues” hits different when you’ve lived it. following.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Per-turn token cost breakdown is exactly what’s missing from most setups. <\/p>\n<p>Can you see which specific tool calls or subagents are the worst offenders, or is it more of an aggregate view?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@boyuan_deng1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@boyuan_deng1<\/a> you can see specific costs per tool calls and subagents, and we also have a dedicated dashboard for tool calls, where you can see duration, error rate, number of times called…<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The useful bit here is closing the loop from failure mode to a runnable fix, not just another trace dashboard.<\/p>\n<\/p>\n<p>For agent monitoring, I\u2019d want each clustered issue to produce a small acceptance case: trigger, tool\/write that failed, expected boundary, and proof the fix changed behavior. Is that what the MCP server hands to the coding agent?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>the framing of agent conversations as qualitative data is really sharp. most teams just look at error rates and latency, but the actual content of what your agent says to users is where the real failure modes hide. curious how you handle the evaluation of subjective quality \u2014 like when an agent is technically correct but the response still feels wrong to the user?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Logs vs issues is such a clean way to frame it. Nobody actually reads logs. Failure modes with evals attached is the thing you fix. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Great work! How does this connect back to the development workflow, any process to do evals to validate the issue is actually resolved before deploying?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Solving one of the most difficult parts when shipping AI agents!!! How to extract bugs, fixes and improvements from your traces…<\/p>\n<p>This team rocks \ud83d\ude80\ud83e\udd18<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch, Cesar! The “cluster conversations into failure modes” piece is the part I’d get the most from. One question from running agents that deliberately hand off to a human: how does Latitude tell a real failure apart from a correct escalation? In our setup the agent is supposed to stop and route anything sensitive \u2014 refunds,<\/p>\n<p>account changes \u2014 to a person, so a “drop-off” there is it doing its job, not breaking. Does it learn which escalations are intended vs the agent actually giving up?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The MCP-into-the-coding-agent piece is the clever bit, and underrated in the thread so far. Most observability tools die at the dashboard \u2014 signals pile up where nobody looks, so failures just rot. Routing the signal to where the fix actually happens (the editor) is the real unlock; detection was never the bottleneck, action was.<\/p>\n<\/p>\n<p>One sharp question on that loop: when you auto-generate an eval per signal and hand it to the coding agent to fix against, how do you keep the agent from overfitting to the eval \u2014 patching the specific failing cases rather than the underlying behavior, so the cluster ‘closes’ but the real issue persists? Curious if there’s a held-out\/regression check or a human-in-the-loop on the generated evals. That’s the failure mode I’d worry about most with auto-fix.<\/p>\n<\/p>\n<p>Congrats on shipping this \u2014 genuinely needed.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is a super clean approach to agent observability! Triage is a nightmare when you’re just staring at a massive, unorganized stream of logs. Grouping traces into auto-clustered issue datasets makes finding where a trajectory went wrong way faster.<\/p>\n<p>How does Latitude handle automated regression testing once a fix for a specific trace issue is pushed?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>For agent systems with non-deterministic outputs, how do you define failure in a way that’s consistent enough to monitor reliably at scale?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How does Latitude differentiate a genuine failure from an agent that’s thinking out loud through a messy but ultimately correct reasoning path?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>While most agent tools stop at dumping logs, auto-building an eval from each failure cluster looks totally spot on! One thing I’d poke at – how do you stop those auto-evals from overfitting to the exact transcripts that triggered them instead of the general failure mode? Thanks!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The phrase all the ways your agents fail is ambitious is failure detection here pattern based on known anti patterns or does it learn failure signatures from your own agent’s history over time?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<blockquote>\n<p>the “issues not logs” framing resonates. i’ve lost hours scrolling through agent execution traces trying to find why something broke, only to realize the actual failure happened 6 steps earlier. how do the evals work here, do you define failure criteria upfront or does it infer patterns from the traces?<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch! <3 desde bcn<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The issue abstraction is the important move. Raw traces are necessary, but small teams need a release gate: is this failure mode understood, reproducible, and covered by an eval before we ship again?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The clustering of conversations into discrete failure modes is the clever part. Most observability tools dump raw traces and leave you to find patterns yourself. We’ve spent time manually sifting logs to spot recurring failures. How does the automatic issue detection work? Does it use embedding clustering on trace outputs, or is there a rule-based approach?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@anand_thakkar1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@anand_thakkar1<\/a> Hey Anand! Great question. We have multiple ways of doing issue detection:<\/p>\n<ol>\n<li>\n<p>Flaggers: We have some trained LLMs that find issues automatically for you, from:<\/p>\n<ol>\n<li>\n<p>Common subjective behaviors such as of issues, like user frustration, agent laziness, tool thrashing…<\/p>\n<\/li>\n<li>\n<p>Deterministic actions like low cache hit rate, tool call errors…<\/p>\n<\/li>\n<\/ol>\n<\/li>\n<li>\n<p>Semantic\/lexical search: We have a search tool that works after embedding all sessions so you can find issues yourself from hunches you might have<\/p>\n<\/li>\n<\/ol>\n<ol>\n<li>\n<p>Human annotation: We let users annotate within conversations the issues they find from reading conversations. Once annotated, behind the scenes we group these into issues using semantic similarity<\/p>\n<\/li>\n<\/ol>\n<p>The other tools we have, such as sessions\/tools\/user page also helps gain visibility of how your agent is working in prod, to then spot potential errors<\/p>\n<p>Let me know if you have further questions!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What’s the security model for agent run data especially for teams whose agents touch sensitive internal systems or customer data?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Have you tested this against multi agent systems where failures cascade across agents rather than staying contained to one? That seems like the harder problem.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What does onboarding look like for an existing agent fleet is there meaningful setup required or is it closer to drop-in instrumentation?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@daniel_juan2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_juan2<\/a> Depends what stack you have<\/p>\n<p>We work with ingesting OTEL telemetry, so if you already have the fleet observed with another tool that ingests OTEL, just change the export to Latitude and you’re 90% set! (you might have to add an additional OTEL tag to see Users page for example, but thats it)<\/p>\n<\/p>\n<p>If you don’t have OTEL telemetry, and you use Python\/Typescript, we have an SDK that is easy to integrate<\/p>\n<\/p>\n<p>If you have other languages, you will have to implement an OTEL exporter and point it to Latitude. Its a bit more of a pain, but its worth it as you can change observability provider later as you wish, as all other platforms also ingest OTEL<\/p>\n<p>Hope this helps! Let me know if you have any more questions<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Is there a self hosted deployment option for teams with strict data residency requirements around agent logs and traces?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How does Latitude handle false positives? I’d imagine flagging failures that are actually intentional edge-case behavior could get noisy at scale.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@carter_son\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@carter_son<\/a> This is a balance we’re constantly improving, however you can stop this way before it becomes noise at scale.<\/p>\n<\/p>\n<p>If you find yourself with false positives due to a flagger detecting an intentional edge case, you can:<\/p>\n<ol>\n<li>\n<p>Ignore the created signal, so the edge case appearing will not bother you anymore (like Sentry\/Datadog ignore of errors)<\/p>\n<\/li>\n<li>\n<p>Turn off the flacky flagger<\/p>\n<\/li>\n<\/ol>\n<p>Not all flaggers are meant to be on for each agent. Being wise in which one to turn on\/off will help reduce these false positives and also save you credits<\/p>\n<p>We already suggest some pre-enable ones based on what type of agent you have, and from there you can iterate.<\/p>\n<p>Hope this helps! Let me know if you have any more questions<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What kinds of failure modes does it catch that traditional logging\/observability tools typically miss?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@carlos_leonardo1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@carlos_leonardo1<\/a> Mostly subjective failure modes, those that are typical of agents that don’t appear as an error always. Examples:<\/p>\n<ul>\n<li>\n<p>Agent calling same tool multiple times<\/p>\n<\/li>\n<li>\n<p>User being angry as the agent is not doing what its supposed to<\/p>\n<\/li>\n<li>\n<p>Agent looses context and calls the wrong API<\/p>\n<\/li>\n<\/ul>\n<p>We also cover more deterministic issues, but thats the main difference.<\/p>\n<p>Lmk if you have more questions!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">looks great! Congrats \ud83d\udc4f<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#5<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/5AKQ3XEF4EI36Z\" class=\"app-title\">Thumbmagic<\/a><\/p>\n<div class=\"one-liner\">AI thumbnail generator trained on top-performing thumbnails<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">298<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Thumbmagic \u662f\u4e00\u6b3e\u57fa\u4e8e\u6d77\u91cf\u9ad8\u70b9\u51fb\u7387\u7f29\u7565\u56fe\u6570\u636e\u8bad\u7ec3\u7684AI\u5de5\u5177\uff0c\u521b\u4f5c\u8005\u53ea\u9700\u7c98\u8d34\u89c6\u9891\u94fe\u63a5\u5373\u53ef\u4e00\u952e\u751f\u6210\u4e13\u4e3aYouTube\u3001TikTok\u7b49\u5e73\u53f0\u4f18\u5316\u7684\u7f29\u7565\u56fe\uff0c\u89e3\u51b3\u624b\u52a8\u8bbe\u8ba1\u8017\u65f6\u4e14\u6548\u679c\u4e0d\u786e\u5b9a\u7684\u75db\u70b9\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/ffccbf21-d974-45b7-8cd4-7efecdba261e.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/04a0cc74-3372-4f89-a5f9-bcf9338fc42a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/81884d99-1ee3-402c-ba1d-a0b44cf1e99c.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/97633f0e-7a7b-4c72-8af0-649e0183e1db.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/5c06e11d-0bea-48c3-a943-0e8b704ffb54.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Marketing<\/span><br \/>\n <span class=\"tag\">YouTube<\/span><br \/>\n <span class=\"tag\">Video<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u7f29\u7565\u56fe\u751f\u6210\u5668<\/span><br \/>\n <span class=\"tag\">\u70b9\u51fb\u7387\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u89c6\u9891\u521b\u4f5c\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">YouTube\u7f29\u7565\u56fe<\/span><br \/>\n <span class=\"tag\">\u6570\u636e\u9a71\u52a8\u8bbe\u8ba1<\/span><br \/>\n <span class=\"tag\">\u98ce\u683c\u590d\u5236<\/span><br \/>\n <span class=\"tag\">\u591a\u5e73\u53f0\u652f\u6301<\/span><br \/>\n <span class=\"tag\">\u521b\u4f5c\u8005\u6548\u7387\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u65e0\u8138\u7f29\u7565\u56fe<\/span><br \/>\n <span class=\"tag\">A\/B\u6d4b\u8bd5\u8f85\u52a9<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u666e\u904d\u8ba4\u53ef\u5176\u8282\u7701\u65f6\u95f4\u548c\u6570\u636e\u9a71\u52a8\u7406\u5ff5\uff0c\u4f46\u6838\u5fc3\u7591\u95ee\u805a\u7126\u4e8e\uff1a\u98ce\u683c\u590d\u5236\u662f\u7cbe\u786e\u5206\u6790\u5b57\u4f53\u5e03\u5c40\u8fd8\u662f\u4ec5\u6a21\u4eff\u8272\u5f69\u57fa\u8c03\uff1f\u5982\u4f55\u9002\u5e94\u975e\u79d1\u6280\/\u91d1\u878d\u7684\u7ec6\u5206\u9886\u57df\uff08\u5982\u7f16\u7801\u3001\u5065\u8eab\uff09\uff1f\u662f\u5426\u517c\u987e\u5185\u5bb9\u771f\u5b9e\u6027\u4e0e\u70b9\u51fb\u7387\u4ee5\u907f\u514d\u8bf1\u9975\uff1f\u56e2\u961f\u56de\u5e94\u79f0\u5de5\u5177\u57fa\u4e8e\u89c6\u9891\u5185\u5bb9\u4e0e\u8d8b\u52bf\u5206\u6790\uff0c\u4e14\u514d\u8d39\u53ef\u7528\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Thumbmagic \u7684\u806a\u660e\u4e4b\u5904\u5728\u4e8e\u7ed5\u5f00\u4e86\u201c\u597d\u770b\u201d\u8fd9\u4e2a\u4e3b\u89c2\u9677\u9631\uff0c\u76f4\u63a5\u951a\u5b9a\u201c\u80fd\u6253\u201d\u8fd9\u4e00\u53ef\u91cf\u5316\u7ed3\u679c\u3002\u5b83\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u6570\u636e\u9a71\u52a8\u7684\u6a21\u5f0f\u8bc6\u522b\u5f15\u64ce\uff0c\u800c\u975e\u4f20\u7edf\u7684\u8bbe\u8ba1\u5de5\u5177\u3002\u901a\u8fc7\u5bf9200+\u70ed\u95e8\u7f29\u7565\u56fe\u7684\u89e3\u6784\uff0c\u5b83\u5b9e\u9645\u4e0a\u5728\u5e2e\u521b\u4f5c\u8005\u505a\u4e24\u4ef6\u4e8b\uff1a\u4e00\u662f\u964d\u4f4e\u91cd\u590d\u6027\u8bbe\u8ba1\u7684\u65f6\u95f4\u6210\u672c\uff0c\u4e8c\u662f\u8ba9\u65b0\u624b\u77ac\u95f4\u501f\u7528\u6210\u719f\u521b\u4f5c\u8005\u9a8c\u8bc1\u8fc7\u7684\u89c6\u89c9\u89c4\u5f8b\u3002\u8bc4\u8bba\u533a\u91cc\u5173\u4e8e\u201c\u4e0e\u5185\u5bb9\u771f\u5b9e\u6027\u5e73\u8861\u201d\u7684\u8d28\u7591\u5f88\u5173\u952e\u2014\u2014\u5982\u679c\u751f\u6210\u7684\u7f29\u7565\u56fe\u4ec5\u4f18\u5316CTR\u800c\u5ffd\u7565\u89c6\u9891\u4ea4\u4ed8\u4f53\u9a8c\uff0c\u6700\u7ec8\u4f1a\u56e0\u9ad8\u8df3\u51fa\u7387\u88ab\u5e73\u53f0\u7b97\u6cd5\u53cd\u566c\u3002\u56e2\u961f\u5f3a\u8c03\u201c\u7ed3\u5408\u89c6\u9891\u5b9e\u9645\u5185\u5bb9\u201d\u662f\u6b63\u786e\u65b9\u5411\uff0c\u4f46\u9700\u8981\u66f4\u900f\u660e\u7684\u673a\u5236\u6765\u8bc1\u660e\u8fd9\u4e00\u70b9\u3002\u53e6\u5916\uff0c\u98ce\u683c\u590d\u5236\u529f\u80fd\u76ee\u524d\u53ea\u80fd\u201c\u514b\u9686\u611f\u89c9\u201d\u800c\u975e\u7cbe\u786e\u5e03\u5c40\uff0c\u5bf9\u8ffd\u6c42\u54c1\u724c\u89c6\u89c9\u4e00\u81f4\u6027\u7684\u56e2\u961f\u6765\u8bf4\u7565\u663e\u9e21\u808b\u3002\u957f\u8fdc\u770b\uff0c\u4ea7\u54c1\u62a4\u57ce\u6cb3\u4e0d\u5728\u751f\u6210\u901f\u5ea6\uff0c\u800c\u5728\u5b83\u79ef\u7d2f\u7684\u201cCTR\u6570\u636e\u56fe\u8c31\u201d\u2014\u2014\u5f53\u6a21\u677f\u5e93\u8db3\u591f\u5927\u3001\u7ec6\u5206\u9886\u57df\u8db3\u591f\u7cbe\u51c6\u65f6\uff0c\u624d\u53ef\u80fd\u4ece\u201c\u6709\u610f\u4e49\u7684\u4fbf\u5229\u5de5\u5177\u201d\u8fdb\u5316\u4e3a\u201c\u521b\u4f5c\u8005\u7684\u57fa\u7840\u8bbe\u65bd\u201d\u3002\u76ee\u524d\u5b9a\u4ef7\u548c\u7ec6\u5206\u9886\u57df\u9002\u914d\u80fd\u529b\u4ecd\u662f\u5f85\u9a8c\u8bc1\u7684\u53d8\u91cf\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Thumbmagic<\/span>\n <\/div>\n<div class=\"comment-content\">Most thumbnail tools give you generic templates. Thumbmagic gives you data. Before generating a single pixel, Thumbmagic analyzes 200+ top-performing thumbnails, studying what drives clicks for tech reviewers, finance creators, and more. The result? Thumbnails that don’t just look good, they’re engineered to perform.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey Product Hunters! \ud83d\udc4b<\/p>\n<p> I’m Tsifei, co-founder & CTO of Thumbmagic.<\/p>\n<p>We launched here before, but this version is a different beast entirely. <\/p>\n<p>So we’re back.<\/p>\n<p>The problem hasn’t changed: Your video quality doesn’t matter if nobody clicks. And great thumbnails are slow, expensive, and creatively exhausting to make consistently.<\/p>\n<p>Thumbmagic solves this in one click.<\/p>\n<p>Drop in your YouTube, TikTok, or Instagram video link then our AI watches it, understands it, and generates a high-CTR thumbnail tailored to your content. <br \/>No brief. No designer. No back and forth.<\/p>\n<p><strong>What’s new since our last launch:<\/strong><\/p>\n<p>\ud83c\udfa8 AI Designer \u2014 One click. One stunning thumbnail. Done.<\/p>\n<p>\ud83d\udd01 Replicate \u2014 See a thumbnail you love? Clone its style for your own content instantly.<\/p>\n<p>\ud83d\udcf1 All Social Media \u2014 Paste any YouTube, TikTok, or Instagram link and go. No manual uploads.<\/p>\n<p>\ud83c\udfad Faceless Thumbnails \u2014 Running a faceless channel? We’ve got you. Full thumbnail generation with zero face required.<\/p>\n<p><strong>Who’s this for?<\/strong><\/p>\n<ul>\n<li>\n<p>YouTubers testing 3+ thumbnail variants per video<\/p>\n<\/li>\n<li>\n<p>Short-form creators publishing daily across TikTok & Reels<\/p>\n<\/li>\n<li>\n<p>Faceless channels that can’t rely on personality-driven design<\/p>\n<\/li>\n<li>\n<p>Agencies and teams producing thumbnails at scale<\/p>\n<\/li>\n<\/ul>\n<p>We’ve seen creators go from spending 2+ hours per thumbnail to under 60 seconds. <br \/>That’s not a feature. <br \/>That’s your Sunday back.<\/p>\n<p>Would love your honest feedback \u2014 what’s working, what’s missing, what you’d pay for. <\/p>\n<p>Drop it below. \ud83d\udc47<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tsifeichan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tsifeichan<\/a> Many congratulations on the launch Lakshya, Tsifei and team. \ud83d\ude42 <\/p>\n<\/p>\n<p>When Lakshya reached out and asked me to hunt this product, I was skeptical at first. I even wondered, \u201cHow is this really different from making something in Nano Banana?\u201d But after seeing the interactive demo, I was genuinely impressed by how it analyzes the video, compares thumbnails, and pulls from 100+ templates to create something strong. I was sold immediately. <\/p>\n<\/p>\n<p>If you’re a creator, give it a try! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tsifeichan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tsifeichan<\/a> Congrats on the launch! Thumbnails are deffo underlooked in getting videos out there to the masses. Curious how you’re planning to grow the user base on TikTok\/Instagram?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tsifeichan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tsifeichan<\/a> this is great, love it. Congratulations on the launch! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on launching! Generating high-converting thumbnails straight from a YouTube or TikTok link is a massive timesaver for creators who hate shifting back and forth between different editing apps. The style replication feature is a great touch for keeping a consistent brand.<\/p>\n<p>Quick question on the replication feature\u2014does it actually analyze the font type and structural layout of the reference thumb, or is it mostly just cloning the color vibe?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@doganakbulut\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@doganakbulut<\/a> It doesn’t replicate what’s there in the thumbnail you provided it but creates one in your style. You can give it a try for free.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Run a small game studio on the side, have personally agonized over Steam capsule art at 1am wondering if it converts. “engineered to perform” beats “looks good” every time. the data-first angle is the right call, I always wind up pulling competitor pages and generating like 5 variants but 200 data points beats 5 easy.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@david_mchale\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@david_mchale<\/a> Thats universal creative experience at this point \ud83d\ude04 <br \/>But yeah, “looks good” is just vibes, “engineered to perform” is a repeatable system. Glad the approach resonates with someone who’s lived it.<br \/>Thanks for your support!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Who\u2019s making 500 thumbnails a month? \ud83d\ude05<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@lakshminath_dondeti\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lakshminath_dondeti<\/a> A lot of serious creators constantly AB test thumbnails on their older videos. Swapping them out to revive performance on content that’s already out there. It adds up fast for them!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Thumbnail design feels simple until you try to consistently get people to stop scrolling \ud83d\ude05 What I like here is the focus on the first impression rather than the content itself. What’s the biggest mistake creators make when designing thumbnails?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@harini_mukesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@harini_mukesh<\/a> Thank you for your support, Harini! Biggest mistake? Designing for themselves instead of the viewers. Most creators pick the frame they look best in, not the one that triggers curiosity. Overcrowded text is second! If you need to squint to read thumbnail text on mobile, it’s already lost. Thumbmagic helps you fix both.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Being part of the Thumbmagic journey has been genuinely exciting. When I first saw what the product could do, I knew this was something different! Not just another AI tool, but a real solution to a problem every creator deals with every single day.<\/p>\n<p>What makes me most proud isn’t just the product though. It’s the team behind it. Everyone here is obsessed with building something creators actually love, and that energy shows up in every feature shipped, whether its Submagic or Thumbmagic!<\/p>\n<p>Thumbnails are the first thing a viewer sees. We’re making sure they’re never the reason someone doesn’t click on your video. That’s a mission worth showing up for every day.<\/p>\n<p>Grateful to be here! \u2728<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@lakshya_singh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lakshya_singh<\/a> Hey! How do you separate durable click patterns from short-lived styles everyone is copying?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Training the AI on actual high-performing thumbnails instead of just giving generic templates is a smart angle. Quick question\u2014how well does it handle niches outside of tech and finance? Like if we need something specific for a coding tutorial or a fitness channel, does it adapt the layout style automatically?<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@sa206\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sa206<\/a> It adapts! Coding tutorials, fitness, lifestyle, gaming, it pulls from top performers and analyze the subject of the video properly before generating the thumbnail. Give it a shot on your niche and see how it holds up! Try the AI designer feature there. You might like that.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is exactly what I have been looking for, I have been posting on YT for a couple years now but having an easy affordable way to create Thumbnails is definitely something i need instead of hiring people because my pockets are not that deep.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@mikereachium\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mikereachium<\/a> That’s exactly who we built this for: creators who are serious about their channel but can’t justify a designer on retainer. Give it a shot and let us know how it goes!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The gap between a decent thumbnail and a viral one is pure pattern matching most of us don’t have time to learn. Training on top performers is the obvious play. Does it adapt to a channel’s existing look or start fresh each time?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@attacomsian\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@attacomsian<\/a> Right now it starts fresh but informed \u2014 analyzing top performers rather than your specific channel history. However, the Replicate feature gets you pretty close if you feed it your own best performers.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats! what are you using to decide what to generate?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch! Curious what factors go into deciding what thumbnail to generate?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Have you tried any testing on YT, and how did they actually perform? \ud83d\ude42<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@busmark_w_nika\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@busmark_w_nika<\/a> Some of the influencers we partnered with for promotion, updated the thumbnails of their older videos and saw spike in impressions and views right after that. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Creating thumbnails are always so time consuming so having something to make this faster will be helpful! Is there a way to maintain consistency between thumbnails created (e.g. colour, font, etc)? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@lienchueh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lienchueh<\/a> Yes! Avatar helps you keep consistency in your thumbnails. And the Replicate feature lets you match the look of a thumbnail you’ve already made \u2014 so color, font, and overall feel stays consistent across your channel.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Does it look at trends regarding heavily trafficked thumbnails and base the designs on that? Or is it only based on the content of the video? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tyler_bush\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tyler_bush<\/a> Both actually! It analyzes the top performing thumbnails to pick up on what’s working trend wise, and combines that with your video’s actual content to make sure it’s relevant. So you’re not just chasing trends blindly, the output is grounded in the subject of your video. Its free to try. Would love it if you give it a spin!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Training on what actually drives clicks (vs generic templates) is the right wedge \u2014 most thumbnail tools optimize for “looks nice” instead of “performs.” Question for you Tsifei: where’s the line between high-CTR and clickbait? If a thumbnail wins the click but the video underdelivers, retention\/algorithm punish you. Does Thumbmagic optimize purely for CTR, or does it factor in matching the thumbnail to what the video actually delivers?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>“Generic templates vs data” hits the nail on the head, most AI design tools end up there because data is just harder to handle. <\/p>\n<p>How does it work across niches? A finance creator thumbnail looks completely different from a tech reviewer thumbnail. Do you segment the 200+ analysis by niche, or are there generic CTR patterns that work everywhere?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@elias_motionfy\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@elias_motionfy<\/a> Great question! It does factor in niche context, so a finance thumbnail isn’t getting the same treatment as a tech review. That said, some CTR patterns do hold universally (contrast, text readability, focal point clarity) and those are baked in regardless of niche. It’s both: niche-specific pattern recognition on top of a universal performance baseline.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congratulations. Nice product.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@thamibenjelloun\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@thamibenjelloun<\/a> Thank you so much for your support. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Creators spend countless hours making something great and then a few minutes thinking about how people will discover it. Interesting approach to solving that problem.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@suzychase\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@suzychase<\/a> Right! The discovery layer gets treated like an afterthought when it’s actually the whole game. No one watches a video they never clicked on.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Wow guys! it’s really awesome. Currently analyzing many Youtube channels and noticed how key can be having viral thumbnails. I’m sure this is coming to change that game. Wish you all the best!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@german_merlo1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@german_merlo1<\/a> Thank you! And you’re absolutely right! After analyzing enough channels you start seeing how much a single thumbnail decision can swing a video’s entire trajectory. That’s exactly how we have trained Thumbmagic, feeding it the data from top performing thumbnails on Youtube. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This solves a real creator problem. Making thumbnails consistently is often harder than making the video itself.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@syed_shayanur_rahman\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@syed_shayanur_rahman<\/a> Thats honestly the most underrated pain point in the creator workflow. The video takes days and the thumbnail gets 20 minutes before upload. And it’s what 90% of viewers judge first. That’s exactly why we built Thumbmagic.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Can Thumbmagic generate multiple thumbnail concepts optimized for different audience segments?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@nuseir_yassin1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nuseir_yassin1<\/a> Yes! Thumbmagic generates 2 variations at a time by default. But you can still generate multiple thumbnail variations with different templates or replicate feature and test which concept lands better with your audience. Different styles, emotions, and text angles, so you’re not locked into one creative direction. Youtube’s new A\/B testing feature is underrated and Thumbmagic makes it easy to actually do it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Smart! Very useful!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ruvik_milkis\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ruvik_milkis<\/a> Thanks a lot Ruvik! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats team Thumbmagic! The combination of video analysis plus thumbnail generation feels much more useful than template-based tools.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@zerotox\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zerotox<\/a> Thank you for your support! That’s exactly the gap we wanted to close! Templates give you something that looks decent but has no connection to what actually performs. Analyzing the top performing thumbnails means your thumbnail is built around the data, not just what looks nice. Appreciate you getting that distinction!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’d love more control over typography and layout after generation. Great launch regardless \ud83d\ude42<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@krutiparekh16\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krutiparekh16<\/a> You actually have full control through the Modify feature! Typography, layout, whatever needs adjusting. But if something still feels missing, please let us know and we’ll be adding it!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Faceless channel support caught my attention. That’s a growing niche most thumbnail tools seem to ignore.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@divya_kothari1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@divya_kothari1<\/a> IKR \ud83d\ude42 Faceless channels are blowing up and most tools are still built around “put a shocked face here.” <br \/>Stock visuals, stylized text based designs, it’s a whole different creative language and we wanted to get it right.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The replicate feature is smart. Most creators save examples anyway, now the workflow feels much faster \ud83d\ude0a<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@iamanantgupta\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@iamanantgupta<\/a> Exactly! why start from scratch when you already know what works \ud83d\ude42 <br \/>Replicate feature just makes it a part of the workflow.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch. How the AI decides which thumbnail elements actually contributed to high-performing click-through rates?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@himani_sah1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@himani_sah1<\/a> Thank you for your support and its a great question, Himani! The AI analyzes patterns across top performing thumbnails like colors, composition, text placement, facial expressions, contrast. It identifies what’s actually driving clicks. That’s then fed into the image generation models trained on high performing visual data. So it’s not guessing, it’s pattern-matching at scale.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love the idea. Just wondering how much control creators have over the final design style and branding. Congrats and good luck!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@henry_habib\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@henry_habib<\/a> Thank you for your support! You’ve got full control! Tweak emotions, style, text through the settings, or just type a prompt and it’ll adjust on the spot. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>thumbnails decide most of whether a video gets the click and most creators phone them in. does it learn from a channel’s own winners or just generic top performers?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@reallynattu\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@reallynattu<\/a> Totally agree! The click is won or lost at the thumbnail. Right now Thumbmagic analyzes top-performing thumbnails across YouTube broadly, not your specific channel’s winners. Channel level learning is something we’re actively thinking about though. Appreciate the nudge \ud83d\ude4c<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#6<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/4MK3CBM4G3CRUM\" class=\"app-title\">Hush<\/a><\/p>\n<div class=\"one-liner\">Open-source noise suppression for voice AI agents<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">175<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Hush\u662f\u4e00\u6b3e\u5f00\u6e90\u5b9e\u65f6\u8bed\u97f3\u589e\u5f3a\u6a21\u578b\uff0c\u4e13\u4e3a\u8bed\u97f3AI\u4ee3\u7406\u8bbe\u8ba1\uff0c\u80fd\u5728\u5608\u6742\u7684\u5b9e\u65f6\u901a\u8bdd\u4e2d\u7cbe\u51c6\u9694\u79bb\u4e3b\u8bf4\u8bdd\u4eba\uff0c\u5254\u9664\u80cc\u666f\u566a\u97f3\u3001\u4eba\u58f0\u5e72\u6270\u548c\u97f3\u9891\u6742\u97f3\uff0c\u89e3\u51b3\u56e0\u97f3\u9891\u6c61\u67d3\u5bfc\u81f4AI\u4ee3\u7406\u8bef\u5224\u7684\u884c\u4e1a\u75db\u70b9\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/558dc0df-b3c6-4d5f-91a8-4da309840f8c.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/ff4eeda0-1879-46cc-9d76-a2702324c993.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/bd1b7970-7dca-4e00-9fb8-e6381e859d53.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/4ef57971-4698-4f4a-adc9-83da07ccc40f.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/TVdZ_kTZJN0\"><source src=\"https:\/\/youtu.be\/TVdZ_kTZJN0\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Open Source<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">GitHub<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u5f00\u6e90<\/span><br \/>\n <span class=\"tag\">\u8bed\u97f3\u589e\u5f3a<\/span><br \/>\n <span class=\"tag\">\u5b9e\u65f6\u964d\u566a<\/span><br \/>\n <span class=\"tag\">\u8bf4\u8bdd\u4eba\u9694\u79bb<\/span><br \/>\n <span class=\"tag\">\u8bed\u97f3AI\u4ee3\u7406<\/span><br \/>\n <span class=\"tag\">\u8fb9\u7f18\u8ba1\u7b97<\/span><br \/>\n <span class=\"tag\">CPU\u63a8\u7406<\/span><br \/>\n <span class=\"tag\">\u9ea6\u514b\u98ce\u9635\u5217\u5904\u7406<\/span><br \/>\n <span class=\"tag\">Apache 2.0<\/span><br \/>\n <span class=\"tag\">Rust\u8fd0\u884c\u65f6<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u8ba4\u53efCPU\u5355\u5e271ms\u5185\u63a8\u7406\u7684\u4f4e\u5ef6\u8fdf\u548c\u5f00\u6e90\u7b56\u7565\uff0c\u4f46\u63d0\u51fa\u4e09\u4e2a\u6838\u5fc3\u5173\u5207\uff1a\u5b89\u9759\u6216\u542b\u7cca\u8bed\u97f3\u7684\u524a\u5e45\u98ce\u9669\u3001\u591a\u6d41\u5e76\u53d1\u65f6\u7684\u6027\u80fd\u8870\u51cf\u66f2\u7ebf\u3001\u4ee5\u53ca\u8fc7\u6ee4\u540e\u662f\u5426\u7834\u574f\u4e0b\u6e38\u8bed\u97f3\u6d3b\u52a8\u68c0\u6d4b\uff08VAD\uff09\u7684\u65f6\u5e8f\u4fe1\u53f7\u3002\u5236\u4f5c\u8005\u56de\u5e94\u79f0\u6a21\u578b\u4f7f\u7528\u589e\u76ca\u63a9\u7801\u800c\u975e\u786c\u95e8\u9650\uff0c\u5e76\u53d1\u901a\u8fc7\u5171\u4eab\u6a21\u578b\u53c2\u6570\u7ebf\u6027\u6269\u5c55\uff0c\u4e14\u4fdd\u7559\u5e27\u8fb9\u754c\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Hush\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u63d0\u4f9b\u4e86\u4e00\u4e2a\u201c\u66f4\u597d\u7684\u964d\u566a\u6a21\u578b\u201d\uff0c\u800c\u5728\u4e8e\u5b83\u7cbe\u51c6\u6233\u4e2d\u4e86\u4e00\u4e2a\u88ab\u884c\u4e1a\u5ffd\u89c6\u7684\u6280\u672f\u5206\u5c42\u8c2c\u8bef\u2014\u2014\u7edd\u5927\u591a\u6570\u5f00\u6e90\u8bed\u97f3\u589e\u5f3a\u6a21\u578b\uff08\u5982DeepFilterNet\u3001RNNoise\uff09\u7684\u8bc4\u6d4b\u6807\u51c6\u662fPESQ\u3001DNSMOS\u7b49\u4eba\u7c7b\u611f\u77e5\u6307\u6807\uff0c\u4f18\u5316\u7684\u662f\u201c\u4eba\u542c\u8d77\u6765\u5e72\u4e0d\u5e72\u51c0\u201d\uff1b\u4f46\u8bed\u97f3AI\u4ee3\u7406\u7684\u5931\u8d25\u573a\u666f\u662fASR\u7684\u5b57\u7b26\u9519\u8bef\u7387\uff08WER\uff09\u548c\u610f\u56fe\u8bef\u5224\uff0c\u4e24\u8005\u5b8c\u5168\u4e0d\u662f\u4e00\u56de\u4e8b\u3002Hush\u5728\u8bad\u7ec3\u4e2d\u5f15\u516560%\u7684\u6df7\u5408\u4eba\u58f0\u6837\u672c\u3001\u8f85\u52a9\u8bf4\u8bdd\u4eba\u5206\u79bb\u5934\u3001\u4ee5\u53ca\u76f4\u63a5\u4f18\u5316WER\u7684\u8bc4\u4f30\u5faa\u73af\uff0c\u672c\u8d28\u4e0a\u662f\u5c06\u6a21\u578b\u7684\u8bbe\u8ba1\u76ee\u6807\u4ece\u201c\u8ffd\u6c42\u542c\u89c9\u81ea\u7136\u5ea6\u201d\u8f6c\u5411\u201c\u8ffd\u6c42\u8f6c\u5f55\u8bed\u4e49\u7684\u9c81\u68d2\u6027\u201d\u3002\u66f4\u5173\u952e\u7684\u662f\uff0c\u5b83\u5728\u67b6\u6784\u4e0a\u523b\u610f\u89c4\u907f\u4e86HuggingFace\u751f\u6001\u4e2d\u9b54\u6539Transformer\u7684\u8def\u5f84\u4f9d\u8d56\uff0c\u9009\u62e9\u5728DeepFilterNet3\u4e0a\u505a\u589e\u91cf\u5f0f\u6539\u8fdb\uff0c\u4e14\u901a\u8fc710ms\u5e27\u5904\u7406\u3001\u65e0\u524d\u77bb\u7f13\u51b2\u7684Rust\u8fd0\u884c\u65f6\u786e\u4fdd\u4e86\u7aef\u5230\u7aef12-13ms\u7684\u5de5\u7a0b\u7ea7\u4f4e\u5ef6\u8fdf\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u5e76\u975e\u4e00\u4e2a\u5b9e\u9a8c\u6027Demo\uff0c\u800c\u662f\u5177\u5907\u76f4\u63a5\u63a5\u5165\u751f\u4ea7\u7ea7\u7535\u8bddAgent\u7ba1\u7ebf\u7684\u808c\u8089\u8bb0\u5fc6\u3002\u7136\u800c\uff0cHush\u7684\u8f6f\u808b\u540c\u6837\u5c16\u9510\uff1a\u5176\u8bbe\u8ba1\u7684\u6838\u5fc3\u5047\u8bbe\u662f\u201c\u660e\u786e\u7684\u5355\u4e00\u4e3b\u8bf4\u8bdd\u4eba\u201d\uff0c\u5728\u9762\u5bf9\u8001\u5e74\u4eba\u542b\u7cca\u8bed\u97f3\u3001\u6781\u4f4e\u4fe1\u566a\u6bd4\u573a\u666f\uff0c\u6216\u5f53\u5e72\u6270\u8bf4\u8bdd\u4eba\u6bd4\u4e3b\u8bf4\u8bdd\u4eba\u66f4\u54cd\u4eae\u65f6\uff0c\u6a21\u578b\u672c\u8eab\u7684\u9c81\u68d2\u6027\u4ecd\u672a\u5f97\u5230\u516c\u5f00\u7684\u538b\u529b\u6d4b\u8bd5\u9a8c\u8bc1\u3002\u5b83\u4e0d\u50cfDeepgram\u7b49\u5546\u4e1a\u65b9\u6848\u90a3\u6837\u5185\u5d4c\u4e8e\u5b8c\u6574\u8bed\u97f3\u6808\u4e2d\uff0c\u4e5f\u4e0d\u4f1a\u89e3\u51b3\u4e0b\u6e38STT\u3001LLM\u7684\u7ea7\u8054\u8bef\u5dee\u2014\u2014\u5b83\u53ea\u662f\u79fb\u9664\u4e86\u4e00\u9762\u201c\u804b\u5899\u201d\uff0c\u4f46\u4e4b\u540e\u7684\u8bed\u97f3\u6d41\u4ecd\u9700\u9762\u5bf9\u5176\u4ed6\u5899\u3002\u53ef\u4ee5\u9884\u89c1\uff0cHush\u4f1a\u5feb\u901f\u88ab\u96c6\u6210\u8fdbRasa\u3001LangChain\u7b49\u8bed\u97f3Agent\u6846\u67b6\u7684\u97f3\u9891\u9884\u5904\u7406\u5c42\uff0c\u4f46\u60f3\u8981\u6210\u4e3a\u884c\u4e1a\u6807\u51c6\uff0c\u5b83\u9700\u8981\u56de\u7b54\u4e00\u4e2a\u66f4\u5177\u6311\u6218\u6027\u7684\u95ee\u9898\uff1a\u5728\u5608\u6742\u7684\u3001\u5b8c\u5168\u975e\u5408\u4f5c\u7684\u771f\u5b9e\u4e16\u754c\u7535\u8bdd\u4e2d\uff0c\u8fd9\u79cd\u57fa\u4e8e\u589e\u76ca\u63a9\u7801\u7684\u8f7b\u91cf\u5206\u79bb\u65b9\u6848\uff0c\u5176\u5929\u82b1\u677f\u7a76\u7adf\u5728\u54ea\u513f\uff1f\u76ee\u524d\u6765\u770b\uff0c\u5b83\u662f\u5bf9\u201c\u6a21\u578b\u542c\u5f97\u6e05\u201d\u7684\u5207\u5b9e\u6539\u8fdb\uff0c\u800c\u4e0d\u662f\u5bf9\u201c\u6a21\u578b\u80fd\u542c\u61c2\u201d\u7684\u5f7b\u5e95\u9769\u547d\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Hush<\/span>\n <\/div>\n<div class=\"comment-content\">Hush removes competing voices, background noise, and audio interference from real-time calls so your voice AI agents always hear what matters.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey Product Hunt! I’m <a href=\"https:\/\/www.producthunt.com\/@lordhasanali\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"lordhasanali\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lordhasanali<\/a> , CEO of weya AI.<\/p>\n<p>We watched great voice AI fail in production, over and over, not because of the model, but because of the audio. Noisy environments, competing voices, background hum. Nobody was solving this properly, so we did.<\/p>\n<p>Introducing Hush, our first in-house open-source speech enhancement model, which:<\/p>\n<p>\u2022 Isolates the primary speaker and removes everything else in real time<br \/>\u2022 Runs entirely on CPU, under 1ms per frame – no GPU needed<br \/>\u2022 Language-agnostic – works across all spoken languages out of the box<br \/>\u2022 Apache 2.0 – free to use in production today<\/p>\n<p>We launched at #5 on HuggingFace’s Audio-to-Audio leaderboard, and this is just the start.<\/p>\n<p>We’ll be here all day answering questions. Try it, break it, and let us know what you think!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>9<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p><strong>Hey everyone \ud83d\udc4b I’m the maker of Hush. Here’s the story behind why we built it.<\/strong><\/p>\n<p>We build Voice AI at <a href=\"https:\/\/www.weya.ai\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Weya<\/a>. AI agents that handle live phone calls for businesses. And the #1 issue that kept breaking our pipeline wasn’t the LLM, wasn’t the TTS. It was <strong>background speech<\/strong>.<\/p>\n<p>A caller phones in from a busy restaurant. Their colleague is talking next to them. A TV is blaring in the background. What happens? The background speaker’s words get picked up, transcribed, and fed into the AI agent as if the caller said them. The entire conversation derails.<\/p>\n<p>We tried every open-source noise cancellation model out there: DeepFilterNet3, RNNoise, SEGAN, MetricGAN+, DNS Challenge entrants. They all do a great job suppressing stationary noise (fans, traffic, HVAC). But <strong>none of them treat a competing human voice as a first-class problem.<\/strong> When the interference is another person speaking, speech looks like speech in every feature these models have learned. They either let it leak through, or they suppress both speakers and destroy intelligibility.<\/p>\n<p>So we built Hush from scratch to fix exactly this.<\/p>\n<p><strong>What it does:<\/strong> Hush removes both background noise AND background speech from live audio, isolating only the primary speaker. It’s an 8 MB model that runs fully on CPU in real time (<1 ms per 10 ms frame), at 16 kHz (native telephony sample rate).<\/p>\n<p><strong>How we did it:<\/strong> We extended <a href=\"https:\/\/github.com\/Rikorose\/DeepFilterNet\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">DeepFilterNet3<\/a> with one targeted change: teaching the encoder to distinguish <em>speakers<\/em>, not just speech from noise.<\/p>\n<ul>\n<li>\n<p><strong>Training data that reflects the real problem:<\/strong> 60% of our training samples include a competing human speaker mixed in. The model cannot pass training without learning to suppress speech that sounds like speech.<\/p>\n<\/li>\n<li>\n<p><strong>Auxiliary Separation Head:<\/strong> A lightweight Linear(256\u219232) + Sigmoid head attached to the encoder bottleneck, trained with L1 loss to predict an ERB-domain mask for background speakers. This is a <em>training-only<\/em> objective. It forces the encoder to carry speaker-discriminative features without adding any inference cost.<\/p>\n<\/li>\n<li>\n<p><strong>Production runtime in Rust:<\/strong> We built libweya_nc, a C-ABI shared library (Rust + <a href=\"https:\/\/github.com\/sonos\/tract\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">tract<\/a> for ONNX inference) that ships as a ~10 MB .so\/.dylib\/.dll with no embedded model. It shares compiled model weights across concurrent sessions via Arc<TypedSimplePlan>, so each session costs only a few KB of memory. Plug it into any C, C++, or Python application.<\/p>\n<\/li>\n<\/ul>\n<p>We trained on 10,000+ hours of mixed audio: LibriSpeech, VCTK, Common Voice for clean speech, DNS Challenge + FreeSound + ESC-50 for noise, and MIT IR Survey + OpenAIR for room impulse responses.<\/p>\n<p><strong>Why we open-sourced it:<\/strong> This gap exists because the benchmarks that drive open-source development (DNS Challenge, CHiME) measure noise suppression, not speaker isolation. Models optimized for those benchmarks are not optimized for Voice AI. We want to change that. Every team building voice agents, call centre bots, real-time transcription, or conversational AI systems deserves a model that actually handles the acoustic chaos of real phone calls.<\/p>\n<p>The model, training code, Rust runtime library, and pretrained weights are all on <a href=\"https:\/\/github.com\/pulp-vision\/Hush\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">GitHub<\/a> and <a href=\"https:\/\/huggingface.co\/weya-ai\/hush\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Hugging Face<\/a>. MIT \/ Apache 2.0 licensed.<\/p>\n<p>We’re also fine-tuning a v2 optimized for even louder background noise and speech. Stay tuned.<\/p>\n<p>Would love your feedback. Happy to answer any questions about the architecture, training, or how to integrate it \ud83d\ude4c<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The CPU-only, sub-1ms-per-frame number is what jumped out at me. Most enhancement I’ve tried adds enough latency to break the natural turn-taking on a live call. We build voice AI that phones elderly parents at home, where the hard part is exactly what you describe: a TV going in the background, a spouse talking across the room, sometimes a hearing aid whistling. My question: when the primary speaker is quiet, slurred, or unsteady (pretty common with older users), does isolating them ever clip that softer speech? Planning to test Hush on some of our real call audio.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@igorgurovich\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@igorgurovich<\/a> Thanks! That’s a great use case. To answer your question: the model applies a gain mask and deep filtering per frame, it doesn’t gate or hard-clip. So quieter speech gets enhanced, not cut. That said, we optimized primarily for telephony scenarios with a clearly dominant primary speaker. Slurred or very low-energy speech at low SNR is a harder edge case and I’d honestly want to see how it performs on your specific audio before making promises. Please do test it on your real call data and share what you find. Would love to hear how it holds up, and if there are failure modes with elderly speakers that’s exactly the kind of feedback that would shape v2.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@igorgurovich\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@igorgurovich<\/a> Congrats on the launch! \ud83d\ude80 Voice AI agents are heavily reliant on clean input data, but real-world phone calls are filled with interruptions, background chatter, and cross-talk. Solving this at the infrastructure layer by actively filtering out competing voices before it hits the model’s transcription loop is a massive win for agent accuracy and natural turn-taking.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Sub-ms matters because voice UX breaks when the audio path gets clever but slow. The edge case I would watch is the handoff between suppression and downstream turn detection; a clean stream is useful only if it preserves the timing signals.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@krekeltronics\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krekeltronics<\/a> Exactly right, and this is an underappreciated failure mode in most voice AI stacks.<\/p>\n<p>Hush processes in <strong>10ms frames<\/strong> and preserves frame boundaries cleanly through the pipeline, so the timing signals VAD and turn detection rely on stay intact. We specifically avoided any lookahead buffering that would smear those boundaries, because we saw firsthand how that breaks turn-taking on live calls.<\/p>\n<p>The gain mask approach also helps here since we’re not hard-gating or dropping frames, silence and trailing speech edges are preserved naturally rather than getting clipped in ways that confuse downstream turn detection.<\/p>\n<p>It’s something we’ll be stress-testing explicitly in v2. Keen to hear if you’ve seen specific failure patterns worth designing against.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Thanks everyone for the amazing support so far! We’re excited to hear your thoughts and answer any questions you have. Your feedback will help shape the future of Hush.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Excited to test and use this in my ongoing peoject. The cpu only is a game changer. Thankyou for making this open source, I was searching, something like this!<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@princeperspect\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@princeperspect<\/a> Glad you like it! Let us know how your experience with Hush.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Most noise suppression libraries are built for human listeners, where “good enough” means the person on the other end doesn’t notice. For voice AI agents the bar is different because the model is doing ASR first, and artifacts that a human brain filters out can wreck transcription accuracy pretty badly. Curious whether Hush is tuned specifically for that ASR pipeline use case or whether it’s general-purpose suppression you’re applying upstream. Also wondering how it handles near-field keyboard noise and fan hum during long agent sessions, since those tend to be the consistent offenders in real deployments.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@fberrez1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fberrez1<\/a> Great framing, you’ve nailed exactly why we built this the way we did.<\/p>\n<p>You’re right that the bar for voice AI is fundamentally different from human-listener suppression. A human brain is remarkably forgiving of artifacts. An ASR model isn’t a subtle spectral smear; over-aggressive suppression can flip a phoneme, and suddenly your agent is acting on the wrong intent. That’s a real business failure, not just a quality issue.<\/p>\n<p>Hush is explicitly tuned for the upstream-of-ASR use case. Our eval loop during training measured downstream transcription accuracy (WER), not just perceptual scores like PESQ or DNSMOS. If suppression was introducing artifacts that hurt WER, we treated that as a model failure regardless of how “clean” it sounded to a human ear.<\/p>\n<p>On keyboard noise and fan hum: stationary and near-stationary noise is actually the easier problem \u2014 the model handles those well since it was trained heavily on DNS Challenge data, which includes exactly those profiles. Long agent sessions with consistent fan hum are arguably the cleanest scenario Hush faces. Where it earns its keep is when a second human voice enters the frame mid-session, which is what breaks every other model we tested.<\/p>\n<p>Happy to share some WER comparison numbers across noisy conditions if that’s useful for your evaluation.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Sub-1ms on CPU is the claim that matters most here and also the one I’d want stress-tested. What’s the degradation curve? Does it hold at 1ms with a single stream, and what happens at 10 or 50 concurrent calls on commodity hardware? That’s the production reality for anyone running voice agents at scale.<\/p>\n<p>The open-source angle is smart for adoption but the real question is where the commercial model sits. Apache 2.0 gets you into production stacks fast. What’s the wedge that converts users to paying customers?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@sergio_jivan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sergio_jivan<\/a>  Good questions. On concurrency: the Rust runtime shares the compiled ONNX model across all sessions via a single Arc<TypedSimplePlan>. Each additional session allocates only its own frame buffers (a few KB), not a copy of the model. So 50 concurrent streams is 50 independent inference calls on the same ~10 MB model, not 50x memory. On a 4-core machine we’ve tested, per-frame latency stays around 1ms up to around 40 concurrent streams before you start seeing CPU contention push it higher. It scales linearly with cores.<\/p>\n<p>On the commercial question: Hush is genuinely open source, no “open core” catch. The model and runtime are the product we built for our own voice agent platform at Weya. Open-sourcing it is about closing a gap in the ecosystem that was hurting everyone building in this space, including us. Weya’s business is the omnichannel agent platform itself, orchestrating entire workflows using voice, video, and WhatsApp agents, not the noise cancellation layer.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Real-time noise suppression always involves tradeoffs – curious what the actual pipeline latency looks like end-to-end, not just model inference. WebRTC jitter buffers, chunking, and resampling all add overhead on top of the model itself, and for voice AI phone agents that budget is already tight with STT + LLM + TTS in the chain. Also wondering how it handles overlapping speakers mid-sentence vs. steady-state noise – that’s usually where suppression models fall apart. How does it compare to what Deepgram or Twilio already offer natively in their voice pipelines?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@galdayan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@galdayan<\/a> All fair and sharp questions: these are exactly the tradeoffs we live with daily, building Weya’s voice agent pipeline.<\/p>\n<p><strong>On end-to-end latency:<\/strong> The <1ms model inference is just one slice. The honest full picture on our stack: we chunk at 10ms frames (native to the model), resampling from 8kHz telephony to 16kHz adds ~0.5ms, and our Rust runtime’s C-ABI boundary is effectively zero-copy so no meaningful overhead there. Total Hush-attributed latency in our pipeline sits around 12-13ms, including buffering. That’s the number that actually matters for your STT\u2192LLM\u2192TTS budget, not the raw inference figure.<\/p>\n<p><strong>On overlapping mid-sentence speech:<\/strong> This is honestly the hardest problem in the space, and I won’t oversell it. Steady-state background noise is a solved problem that every model handles. Where Hush specifically differs is that 60% of our training data included a competing human voice, so the model has learned to treat overlapping speech as the primary threat, not an edge case. Mid-sentence intrusions do degrade performance, but the degradation is significantly more graceful than models that weren’t trained for speaker separation at all. We’re targeting this directly in v2.<\/p>\n<p><strong>On Deepgram\/Twilio native suppression:<\/strong> Their built-in noise handling is solid for the human-listener use case, stationary noise, light background hum. But it’s not designed to suppress a competing human speaker, which is the failure mode that specifically breaks voice AI agents. It’s also a black box you can’t tune, can’t run offline, and can’t integrate upstream of a non-Deepgram STT. Hush is provider-agnostic it sits at the audio layer before anything else touches the stream.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Looks good! Congrats <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@samirrashed\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@samirrashed<\/a> \ud83d\ude4c\ud83c\udffb<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This seems pretty useful. We would love to give it a try!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@aj_123\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@aj_123<\/a> \ud83d\ude4c\ud83c\udffb<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is exactly the kind of voice-agent infra where the test set matters more than the demo clip. I would love to see three numbers side by side: added latency per frame, word deletion rate for quiet primary speakers, and false retention when a second speaker is louder than the caller. The open-source angle is especially useful if teams can run the same stress clips before deploying it into live calls.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tang_weigang\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tang_weigang<\/a>  You’re speaking our language, we’re infrastructure people too, and we share exactly that instinct. Demo clips are marketing. Reproducible numbers on hard audio are what actually matter before you put something in a production call path.<\/p>\n<p>Here’s where we stand on your three asks:<\/p>\n<p><strong>Added latency per frame:<\/strong> 10ms frame size, ~12-13ms total Hush-attributed latency including resampling and buffering. The <1ms inference figure is real, but as I’ve said to others here, that’s one slice, not the full picture.<\/p>\n<p><strong>Word deletion rate on quiet primary speakers:<\/strong> This is the number we’re most careful about overstating. The model applies a gain mask rather than hard gating, so quieter speech gets enhanced rather than cut. But at very low SNR with a louder competing speaker, your exact third scenario \u2014 the deletion risk does go up. We have internal WER benchmarks, but I’d rather you run your own stress clips on your own audio than take our word for it. Which brings me to your actual point.<\/p>\n<p><strong>False retention when the second speaker is louder than the caller:<\/strong> Genuinely the hardest case. We trained specifically for this, 60% of the training samples had a competing human voice, but “louder than the primary caller” is the stress condition where we’d want your numbers, not just ours.<\/p>\n<p>The open-source release is precisely for this reason. The weights, runtime, and training config are all on GitHub. Run your worst clips. Break it. That feedback is worth more to us than any benchmark we self-report.<\/p>\n<p>Drop your findings here or open an issue we’re actively watching both.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What\u2019s the latency like in real time calls, and does it ever clip or distort the speaker\u2019s voice?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@thamibenjelloun\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@thamibenjelloun<\/a> Total pipeline latency sits around 12-13ms, including buffering and resampling, imperceptible on a live call.<\/p>\n<p><strong>On clipping<\/strong>: the model applies a per-frame gain mask rather than hard gating, so it enhances quieter speech rather than cutting it off. Distortion artifacts are something we specifically optimized against since we measured downstream ASR accuracy (WER), not just how it sounds to a human ear.<\/p>\n<p>That said, the best way to know is to run it on your own audio. Weights are on GitHub, Apache 2.0. Would love to hear what you find.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#7<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/V76I2WDPCC2XOW\" class=\"app-title\">Steam Machine<\/a><\/p>\n<div class=\"one-liner\">A tiny, powerful PC for big-screen gaming<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">172<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Steam Machine\u662f\u4e00\u6b3e\u5b9a\u4f4d\u4e8e\u5ba2\u5385\u5927\u5c4f\u6e38\u620f\u573a\u666f\u7684\u8ff7\u4f60PC\u4e3b\u673a\uff0c\u901a\u8fc7\u9884\u88c5SteamOS\u548c\u8fdc\u8d85Steam Deck\u7684\u6027\u80fd\uff0c\u8ba9\u73a9\u5bb6\u65e0\u9700\u6298\u817e\u5373\u53ef\u5728\u7535\u89c6\u4e0a\u6d41\u7545\u8fd0\u884c\u6574\u4e2aSteam\u6e38\u620f\u5e93\uff08\u542b4K 60\u5e27AAA\u5927\u4f5c\uff09\uff0c\u6838\u5fc3\u89e3\u51b3PC\u6e38\u620f\u201c\u8fde\u7535\u89c6\u9ebb\u70e6\u3001\u914d\u7f6e\u7e41\u7410\u3001\u4f53\u79ef\u81c3\u80bf\u201d\u7684\u75db\u70b9\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/6bee0e4e-2efa-4bd6-b5db-1c7bac00da98.gif?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/3a5c2587-2eb5-4679-8099-ff5db88fd072.jpeg?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/c3fc0f2d-c4dd-48d5-b75a-b0fb44a86410.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/11645074-42d9-43e6-8e4f-0f4e7e123b4d.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/670fa3ae-7a57-452c-9885-f985b9c1d49a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Hardware<\/span><br \/>\n <span class=\"tag\">Games<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u6e38\u620f\u4e3b\u673a<\/span><br \/>\n <span class=\"tag\">\u8ff7\u4f60PC<\/span><br \/>\n <span class=\"tag\">SteamOS<\/span><br \/>\n <span class=\"tag\">\u5ba2\u5385\u6e38\u620f<\/span><br \/>\n <span class=\"tag\">4K\u6e38\u620f<\/span><br \/>\n <span class=\"tag\">\u9ad8\u6027\u80fdPC<\/span><br \/>\n <span class=\"tag\">\u6e38\u620f\u786c\u4ef6<\/span><br \/>\n <span class=\"tag\">\u638c\u673a\u66ff\u4ee3\u54c1<\/span><br \/>\n <span class=\"tag\">\u5ba2\u5385\u5a31\u4e50<\/span><br \/>\n <span class=\"tag\">Steam\u751f\u6001<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u6700\u5173\u6ce8\u4ef7\u683c\uff1a\u4ece2015\u5e74\u7684449\u7f8e\u5143\u98d9\u5347\u81f31049\u7f8e\u5143\u8d77\uff0c\u8fdc\u8d85\u591a\u6570\u4eba\u9884\u671f\uff08\u5bf9\u6807PS5\u7684499\u7f8e\u5143\uff09\u3002\u591a\u6570\u4eba\u56e0\u4ef7\u683c\u8fc7\u9ad8\u653e\u5f03\uff0c\u8ba4\u4e3a\u5b83\u6ca6\u4e3a\u5c0f\u4f17\u53d1\u70e7\u73a9\u5177\uff1b\u4f46\u4e5f\u6709\u4eba\u6307\u51fa\u5f53\u524d\u7ec4\u4ef6\u6210\u672c\u4e0b\u6b64\u5b9a\u4ef7\u5408\u7406\uff0c\u4e14\u5f00\u53d1\u8005\u4f1a\u56f4\u7ed5\u8be5\u89c4\u683c\u4f18\u5316\u6e38\u620f\u3002\u53e6\u6709\u7528\u6237\u8d28\u7591SteamOS\u6e38\u620f\u517c\u5bb9\u6027\u662f\u5426\u771f\u7684\u6539\u5584\uff0c\u4ee5\u53ca\u4ea7\u54c1\u662f\u5426\u5728\u5370\u5ea6\u53d1\u552e\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Steam Machine\u7684\u56de\u5f52\uff0c\u672c\u8d28\u4e0a\u662fValve\u5bf9\u201c\u5ba2\u5385PC\u6e38\u620f\u201d\u8fd9\u4e2a\u8001\u547d\u9898\u7684\u65b0\u4e00\u6b21\u6602\u8d35\u8d4c\u6ce8\u30022015\u5e74\u7248\u672c\u6b7b\u4e8e\u5c34\u5c2c\u7684\u6027\u4ef7\u6bd4\u4e0e\u7cdf\u7cd5\u7684\u6e38\u620f\u517c\u5bb9\u6027\uff1b\u5341\u5e74\u540e\uff0c\u5b83\u5e26\u77401049\u7f8e\u5143\u8d77\u7684\u6807\u4ef7\u548c\u201c\u516d\u500d\u4e8eSteam Deck\u6027\u80fd\u201d\u7684\u786c\u53c2\u6570\u5377\u571f\u91cd\u6765\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4e4d\u770b\u4e4b\u4e0b\uff0c\u8fd9\u662f\u4e00\u4e2a\u903b\u8f91\u95ed\u73af\u7684\u786c\u4ef6\uff1aSteamOS\u89e3\u51b3\u8f6f\u4f53\u4e00\u81f4\u6027\uff0cSteam Deck\u7684\u6210\u529f\u8bc1\u660e\u638c\u673a\u5e02\u573a\u53ef\u884c\uff0c\u7535\u89c6\u5927\u5c4f\u662f\u6e38\u620f\u4f53\u9a8c\u5347\u7ea7\u7684\u5929\u7136\u573a\u666f\u3002\u4f46\u81f4\u547d\u4f24\u5728\u4e8e\uff0cValve\u4f9d\u7136\u6ca1\u6709\u56de\u7b54\u90a3\u4e2a\u6838\u5fc3\u95ee\u9898\u2014\u2014**\u5f53\u4e00\u53f0PC\u6446\u8fdb\u5ba2\u5385\uff0c\u5b83\u51ed\u4ec0\u4e48\u6bd4PS5\u6216Xbox\u66f4\u503c\u5f97\u9009\u62e9\uff1f** \u8bc4\u8bba\u4e2d\u7528\u6237\u7684\u5927\u91cf\u56f4\u89c2\u4e0e\u4e00\u6b21\u8c03\u4f83\u201c\u6211\u4f1a\u9009PS5\u201d\uff0c\u5df2\u7ecf\u8bf4\u660e\u4e86\u666e\u901a\u6d88\u8d39\u8005\u7684\u52a1\u5b9e\uff1a\u7edd\u5927\u591a\u6570\u4eba\u4e0d\u5728\u4e4e\u4f60\u80fd\u4e0d\u80fd\u88c5Windows\u3001\u4e0d\u5728\u4e4eLinux\u751f\u6001\u7684\u53d1\u5c55\uff0c\u4ed6\u4eec\u53ea\u5173\u5fc3499\u7f8e\u5143\u80fd\u4e0d\u80fd\u73a9\u5230\u300aGTA6\u300b\u548c\u300a\u4f7f\u547d\u53ec\u5524\u300b\u3002\u5728\u9ad8\u7aef\u5e02\u573a\uff0c\u5b83\u9762\u4e34\u6765\u81eaDIY\u8ff7\u4f60PC\uff08\u8bb8\u591a\u4eba\u81ea\u5df1\u7528ITX\u673a\u7bb1\u7ec4\u88c5\uff09\u548c\u4ef7\u683c\u5df2\u8170\u65a9\u7684\u4e8c\u624b\u6e38\u620f\u672c\u7684\u5939\u51fb\u3002\n <\/p>\n<p class=\"ai-content\">\n \u771f\u6b63\u6709\u4ef7\u503c\u7684\u90e8\u5206\uff0c\u5176\u5b9e\u9690\u85cf\u5728\u90a3\u53e5\u201c\u5f00\u53d1\u8005\u4f1a\u9488\u5bf9\u8fd9\u4e2a\u56fa\u5b9a\u89c4\u683c\u4f18\u5316\u201d\u7684\u8bc4\u8bba\u4e2d\u3002\u4e00\u6b3e\u56fa\u5b9a\u7684\u3001\u6027\u80fd\u5f3a\u5927\u7684\u5ba2\u5385\u6e38\u620f\u53c2\u8003\u5e73\u53f0\uff0c\u5bf9\u5f00\u53d1\u8005\u800c\u8a00\u610f\u5473\u7740\u66f4\u5c11\u7684\u788e\u7247\u5316\u9002\u914d\u6210\u672c\u3002\u5982\u679cValve\u80fd\u8bf4\u670d\u5f00\u53d1\u8005\u5c06\u5176\u89c6\u4e3a\u201c\u5ba2\u5385\u6e38\u620f\u7684\u6307\u5b9a\u6807\u51c6\u201d\uff0c\u5e76\u7528\u6301\u7eed\u7684\u8f6f\u4ef6\u8fed\u4ee3\uff08\u6bd4\u5982\u5b8c\u5584HDMI-CEC\u3001\u4f18\u5316SteamOS\u5bf9\u53cd\u4f5c\u5f0a\u7cfb\u7edf\u7684\u652f\u6301\uff09\u5835\u4f4f\u786c\u6838\u73a9\u5bb6\u7684\u5634\uff0c\u90a3\u4e48Steam Machine\u6216\u8bb8\u80fd\u6293\u4f4f\u4e00\u5c0f\u64ae\u201c\u4e0d\u613f\u6298\u817e\u4f46\u8ffd\u6c42\u6781\u81f4\u4f53\u9a8c\u201d\u7684\u5bcc\u88d5\u73a9\u5bb6\u3002\u4f46\u5bf9\u4e8e\u5927\u4f17\u5e02\u573a\uff0c\u8fd9\u4e2a\u4ef7\u683c\u5df2\u7ecf\u7ed9\u81ea\u5df1\u5224\u4e86\u6b7b\u5211\u2014\u2014\u5b83\u4e0d\u662f\u53c8\u4e00\u4e2a\u589e\u957f\u6545\u4e8b\uff0c\u800c\u662fValve\u7ed9\u81ea\u5bb6\u751f\u6001\u7684\u5962\u4f88\u54c1\u914d\u4ef6\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Steam Machine<\/span>\n <\/div>\n<div class=\"comment-content\">Steam Machine is a tiny, powerful PC for big-screen gaming. A roughly 6-inch cube with over six times the power of Steam Deck, it plays your entire Steam library\u2014AAA titles included\u2014at 4K 60 FPS. Sign in and your games are right there. It runs SteamOS for a plug-and-play experience, stays cool and whisper-quiet, and pairs instantly with the Steam Controller. It’s still a full PC too: install your own apps or even another OS. Powerful PC gaming made easy, right under your TV.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>STEEEEEEEEEEAM MACHIIIIIIIINE <\/p>\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=0sa2R-PM0Uk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.youtube.com\/watch?v=0sa2R-PM0Uk<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The first Steam Machines launched on November 10, 2015 starting around $449. <\/p>\n<\/p>\n<p>The new Steam Machine launches June 25 allocated to randomized pre-orders… so if you want one, get in now! <\/p>\n<\/p>\n<p>However, sticker shock might prevent you from jumping in, given prices start at <strong>$1,049<\/strong> (512GB), with a 2TB model at <strong>$1,349<\/strong>. <\/p>\n<\/p>\n<p>Valve <a href=\"https:\/\/arstechnica.com\/gaming\/2026\/06\/valves-steam-machine-ships-june-29-for-1049-but-you-probably-wont-be-able-to-buy-one-yet\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">originally aimed<\/a> for a lower, \u201caffordable\u201d price, but a global RAM\/storage shortage drove component costs up and made that target \u201cno longer viable.\u201d<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@chrismessina\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@chrismessina<\/a> Waiting for the first actual user reviews to start coming in before I consider getting one! But yeah, unexpected price tbh.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@chrismessina\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@chrismessina<\/a> The jump from the original $449 to $1,049+ is definitely steep, even factoring in the current RAM and storage shortages. It will be interesting to see if this premium price point pushes it into a niche enthusiast category rather than driving mainstream adoption.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>expect it to cost roughly the same as a PS5, but if that’s the case, I’d probably choose the PS5 instead.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>valve\u2019s bigger contribution here is making linux less exotic for regular buyers, while continuing the software and driver work that helps everyone on linux, not just their own hardware. pairing that with hardware-software polish around things like hdmi-cec removes a lot of annoying setup gaps.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Valve tried this in 2015 and the original Steam Machines quietly faded – mostly because SteamOS game compatibility was spotty and the price-to-performance vs a PS4 or Xbox One didn’t hold up. Starting at $1,049 this time around, I’m not sure the core problem has changed. A PS5 is still $499 and runs every game made for it. The “it’s a full PC too” angle is compelling on paper, but that’s also exactly what the original pitch was. What’s the story on SteamOS compatibility now – are we actually at a point where the vast majority of Steam’s library runs without workarounds?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Wanted one, but price for me is a no-go sadly (I know it’s due to factors out of their control atm). Assembled my own mini-itx case for my pc for the meantime.<\/p>\n<p>Thinking of getting a Bambu Labs printing and designing a similar sized case, would love to chat if people have done similar things.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hear me out: The Steam Machine is actually a bargain. Game developers will be targeting this exact spec for years, and the form factor and quality of life benefits make it a unique proposition. Am I going to buy one? No. I already have a modest gaming PC and I don’t need another one. But I think people who claim the Steam Machine is ridiculously overpriced just don’t understand what the current market is like for components. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>PC gaming is still weirdly complicated for a lot of people. A simple living-room-friendly Steam box makes sense if it keeps the freedom of PC without feeling like you have to build and maintain one yourself.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Ouf, any extra insight worth mentioning Chris?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">@mcarmonas it\u2019s expensive? \ud83e\udee4<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Will this be ever launched in India?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#8<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/RYTOCBF7AC7ESQ\" class=\"app-title\">Jotform AI App Builder<\/a><\/p>\n<div class=\"one-liner\">Turn ideas into powerful apps within seconds<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">162<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Jotform AI App Builder \u8ba9\u7528\u6237\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u9700\u6c42\uff0c\u81ea\u52a8\u751f\u6210\u5305\u542b\u9875\u9762\u3001\u8868\u5355\u3001\u5de5\u4f5c\u6d41\u548c\u6570\u636e\u7ba1\u7406\u7684\u5b8c\u6574\u5e94\u7528\uff0c\u89e3\u51b3\u4ece\u96f6\u642d\u5efa\u5e94\u7528\u7684\u9ad8\u95e8\u69db\u548c\u7a7a\u767d\u9875\u7126\u8651\u95ee\u9898\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/4895a97d-4448-4591-ac14-d2a39cebbedf.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/7e744c5d-6be9-4657-a6da-e1b5616f9a74.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/299cc83c-31d4-46fa-a2d6-f2e272fbfb64.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/9c4494ed-c58b-4bbf-b49e-ff73cf53b5fe.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/06f04767-bbdc-4a87-bbd6-a46645725458.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/b55bfb85-45f8-462c-8e4e-99e9df5f523d.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/a3cf33ec-807e-473c-a2d4-21a6c4e85255.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/e7ff07d9-859a-4373-bec4-26055b141d1e.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=qa5X3eJNIiE\"><source src=\"https:\/\/www.youtube.com\/watch?v=qa5X3eJNIiE\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">No-Code<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u5e94\u7528\u751f\u6210<\/span><br \/>\n <span class=\"tag\">\u65e0\u4ee3\u7801\u5f00\u53d1<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u8868\u5355\u6784\u5efa<\/span><br \/>\n <span class=\"tag\">\u4f4e\u4ee3\u7801\u5e73\u53f0<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1a\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u79fb\u52a8\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u7f51\u9875\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u81ea\u5b9a\u4e49\u7ec4\u4ef6<\/span><br \/>\n <span class=\"tag\">\u4ea7\u54c1\u589e\u5f3a<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u5173\u6ce8AI\u80fd\u5426\u5904\u7406\u590d\u6742\u6761\u4ef6\u903b\u8f91\u548c\u6743\u9650\u7ed3\u6784\uff0c\u5f00\u53d1\u8005\u56de\u5e94\u79f0AI\u53ef\u63a8\u65ad\u5e38\u89c1\u6a21\u5f0f\u4f46\u9700\u624b\u52a8\u5fae\u8c03\u3002\u8bc4\u8bba\u5f3a\u8c03\u201c\u7a7a\u767d\u9875\u6050\u60e7\u201d\u662f\u75db\u70b9\uff0cAI\u964d\u4f4e\u542f\u52a8\u95e8\u69db\u3002\u53e6\u6709\u7528\u6237\u8be2\u95ee\u4e3b\u6d41\u5e94\u7528\u7c7b\u578b\uff0c\u5b98\u65b9\u56de\u5e94\u7528\u4f8b\u5305\u62ec\u5ba2\u6237\u95e8\u6237\u3001\u5458\u5de5\u5165\u804c\u3001\u5e93\u5b58\u8ffd\u8e2a\u7b49\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Jotform AI App Builder \u672c\u8d28\u4e0a\u662f\u4e00\u6b21\u5bf9\u201c\u65e0\u4ee3\u7801\u201d\u6982\u5ff5\u7684\u5347\u7ea7\u2014\u2014\u4ece\u201c\u62d6\u62fd\u7ec4\u4ef6\u201d\u5230\u201c\u63cf\u8ff0\u751f\u6210\u201d\u3002\u5b83\u7684\u6838\u5fc3\u4ef7\u503c\u4e0d\u5728\u4e8e\u201c\u5168\u81ea\u52a8\u201d\uff0c\u800c\u5728\u4e8e\u5c06\u201c\u542f\u52a8\u6210\u672c\u201d\u964d\u5230\u51e0\u4e4e\u4e3a\u96f6\u3002\u5bf9\u4e8e\u975e\u6280\u672f\u7528\u6237\uff0c\u63cf\u8ff0\u9700\u6c42\u8fdc\u6bd4\u8bbe\u8ba1\u9875\u9762\u7ed3\u6784\u3001\u914d\u7f6e\u6743\u9650\u6765\u5f97\u81ea\u7136\uff1b\u5bf9\u4e8e\u4f01\u4e1a\u573a\u666f\uff0c\u5b83\u66b4\u9732\u4e86\u4e00\u4e2a\u88ab\u957f\u671f\u5ffd\u89c6\u7684\u75db\u70b9\uff1a\u5f88\u591a\u5185\u90e8\u5e94\u7528\u7684\u4ef7\u503c\u5e76\u4e0d\u9ad8\uff0c\u4e0d\u503c\u5f97\u82b1\u5927\u91cf\u65f6\u95f4\u4ece\u5934\u914d\u7f6e\uff0c\u4f46\u5b9a\u5236\u5316\u9700\u6c42\u53c8\u771f\u5b9e\u5b58\u5728\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u503c\u5f97\u8b66\u60d5\u7684\u662f\uff0c\u201c\u63cf\u8ff0\u5373\u751f\u6210\u201d\u5bb9\u6613\u9677\u5165\u6f14\u793a\u6548\u679c\u597d\u3001\u751f\u4ea7\u73af\u5883\u5d29\u584c\u7684\u602a\u5708\u3002\u4ece\u8bc4\u8bba\u6765\u770b\uff0c\u7528\u6237\u5bf9\u591a\u6b65\u9aa4\u6761\u4ef6\u903b\u8f91\u3001\u52a8\u6001\u6743\u9650\u3001\u8fb9\u7f18\u60c5\u51b5\u5904\u7406\u7b49\u95ee\u9898\u975e\u5e38\u654f\u611f\uff0c\u800c\u4ea7\u54c1\u65b9\u56de\u5e94\u4e2d\u53cd\u590d\u51fa\u73b0\u7684\u201c\u624b\u52a8\u7f16\u8f91\u201d\u201c\u7ee7\u7eed\u4f18\u5316\u201d\u7b49\u63aa\u8f9e\u6697\u793a\uff0cAI\u751f\u6210\u7684\u521d\u59cb\u7248\u672c\u5927\u6982\u7387\u53ea\u662f\u9aa8\u67b6\uff0c\u590d\u6742\u903b\u8f91\u4ecd\u9700\u4eba\u5de5\u586b\u5751\u3002\u5982\u679cAI\u53ea\u80fd\u751f\u6210\u201c\u597d\u770b\u4f46\u7c97\u7cd9\u201d\u7684\u9996\u7248\uff0c\u90a3\u5b83\u7684\u5b9e\u9645\u6548\u7387\u63d0\u5347\u5c06\u5c40\u9650\u4e8e\u539f\u578b\u9636\u6bb5\uff0c\u800c\u975e\u771f\u6b63\u964d\u4f4e\u7ef4\u62a4\u6210\u672c\u3002\n <\/p>\n<p class=\"ai-content\">\n \u53e6\u5916\uff0cJotform\u5df2\u6709\u8868\u5355\u3001\u8868\u683c\u3001\u4ee3\u7406\u548c\u7ec4\u4ef6\u751f\u6001\uff0cAI App Builder\u66f4\u50cf\u662f\u628a\u8fd9\u4e9b\u65e2\u6709\u80fd\u529b\u5305\u88c5\u6210\u4e00\u4e2a\u66f4\u81ea\u7136\u7684\u5165\u53e3\u3002\u771f\u6b63\u6709\u58c1\u5792\u7684\uff0c\u4e0d\u662fAI\u751f\u6210\u672c\u8eab\uff0c\u800c\u662fJotform\u80fd\u5426\u8ba9AI\u751f\u6210\u7684\u201c\u521d\u7a3f\u201d\u4e0e\u540e\u7eed\u624b\u52a8\u5fae\u8c03\u4e4b\u95f4\u505a\u5230\u65e0\u7f1d\u8fed\u4ee3\uff0c\u800c\u4e0d\u662f\u201cAI\u505a\u4e00\u904d\uff0c\u4eba\u518d\u6539\u4e00\u904d\u201d\u3002\u4e00\u53e5\u8bdd\u603b\u7ed3\uff1a\u8fd9\u662f\u964d\u4f4e\u542f\u52a8\u95e8\u69db\u7684\u597d\u4ea7\u54c1\uff0c\u4f46\u79bb\u201c\u4e00\u4e2a\u63cf\u8ff0\u89e3\u51b3\u6240\u6709\u201d\u8fd8\u5f88\u8fdc\uff0c\u4e0d\u8981\u9ad8\u4f30AI\u7684\u667a\u80fd\uff0c\u4e5f\u4e0d\u8981\u4f4e\u4f30\u4e8b\u540e\u8c03\u6574\u7684\u5de5\u4f5c\u91cf\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Jotform AI App Builder<\/span>\n <\/div>\n<div class=\"comment-content\">Build complete apps by describing what you need. Jotform AI App Builder generates pages, forms, workflows, and data management automatically, then lets you refine everything with AI or manual edits. If you need something more advanced, AI can automatically generate custom widgets for dashboards, charts, calculators, and interactive tools, or let you create your own with AI Widget Creator. Combine forms, tables, AI agents, and custom widgets in a single app.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Product Hunt! \ud83d\udc4b <\/p>\n<p>We\u2019ve had Jotform Apps for years, but we kept seeing the same challenge: building an app still required users to think through pages, workflows, data structures, permissions, and design before they could get started.<\/p>\n<p>With Jotform AI App Builder, we wanted to make app creation feel more natural. Instead of configuring everything manually, you can simply describe what you want to build, and AI generates the app for you. You can then continue refining it through conversation or switch to manual editing whenever you want.<\/p>\n<p>One feature we’re especially excited about is AI Widgets. Instead of being limited to predefined building blocks, you can create entirely new functionality for your app just by describing what you want. Whether it’s a custom calculator, inventory tracker, analytics dashboard, or something uniquely tailored to your workflow, AI turns your ideas into working app experiences without code.<\/p>\n<p>We’d love to hear what you’d build with it and what we can improve. <\/p>\n<p>Thanks for checking us out, and we’re happy to answer any questions throughout the day! \ud83d\ude80<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@aytekintank\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@aytekintank<\/a> Hey! Since Jotform already has forms, tables, agents, and widgets, are there workflows where the AI App Builder surprised you by connecting those pieces in a new way?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Working in B2B operations, one of the biggest time sinks is building intake forms for vendor and supplier onboarding. Every buyer has different requirements and you end up rebuilding the same workflow from scratch each time.<\/p>\n<\/p>\n<p>What I’m curious about is how the AI handles multi-step conditional logic. When someone needs to route different document types to different reviewers based on certification status, does the AI App Builder pick that up from a plain description? Or does that kind of branching still need manual configuration?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats guys!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What fascinates me is the behavioral aspect. Many people abandon projects because the blank canvas feels overwhelming. Turning the first step into a simple description could dramatically increase how many ideas actually become usable apps.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@darly_selby\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@darly_selby<\/a> That’s exactly what inspired a lot of this product. We wanted to remove the pressure of starting from scratch. Describing an idea is much easier than designing an entire app structure, and we’ve found that getting users to a working first version quickly makes it much easier for them to keep building.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is neat. What’s the biggest type of app people are building with it right now?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@dhiraj_patel5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dhiraj_patel5<\/a> Thanks a lot! We’re seeing a lot of customer portals, employee onboarding apps, internal operations tools, inventory trackers, and event apps. What’s been interesting is how users start with a basic app idea and then expand it with custom AI Widgets and workflows.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Does it build mobile app only or web apps too? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@nuseir_yassin1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nuseir_yassin1<\/a> Both! Jotform AI App Builder can generate apps that work across web and mobile, so you can create once and share the same app experience across different platforms.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How accurately can the AI infer complex permission structures when the prompt doesn’t explicitly define access rules?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@crystalmei\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@crystalmei<\/a> The AI can infer common role-based permission patterns and create a solid starting point, but it doesn’t lock anything in. Users can refine permissions through prompts or manual edits as their requirements become more specific.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p> Interesting shift from building apps manually to describing them in plain language. I wonder how well the AI handles complex permission structures and edge cases that usually appear after launch.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@hana_salazars\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@hana_salazars<\/a> That’s exactly why we designed it as a combination of AI generation and full manual control. The AI can create permissions, workflows, and app structure from a prompt, but users can continue refining those settings as requirements change and edge cases emerge.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#9<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/UC77WTDO7SDCR2\" class=\"app-title\">Sakana Fugu<\/a><\/p>\n<div class=\"one-liner\">One Model to Command Them All<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">141<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Sakana Fugu\u901a\u8fc7\u5355\u4e00API\u52a8\u6001\u7f16\u6392\u591a\u4e2a\u9876\u7ea7AI\u6a21\u578b\uff0c\u81ea\u52a8\u5206\u89e3\u5e76\u89e3\u51b3\u590d\u6742\u591a\u6b65\u9aa4\u4efb\u52a1\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u907f\u514d\u5355\u4e00\u4f9b\u5e94\u5546\u9501\u5b9a\uff0c\u540c\u65f6\u83b7\u5f97\u524d\u6cbf\u7ea7\u6027\u80fd\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/77172413-87da-4707-9cf3-5cce77f86e58.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/fc746b21-e165-45bc-90e5-32de1f6c2ac9.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/49dd774a-b8db-4428-8c36-345aa3020acb.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/49f3ab9b-c762-4603-ace4-0670d7a22c9d.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0a3158c7-aac7-44df-8c54-f56f977284f4.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/9e24c27f-3fa2-4246-b815-e303e0f89754.jpeg?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">API<\/span><br \/>\n <span class=\"tag\">Development<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u4e3b\u8981\u8d28\u7591\u5b9a\u4ef7\u8fc7\u9ad8\uff08\u4e0eClaude\u540c\u7ea7\uff09\uff0c\u62c5\u5fe7\u5ef6\u8fdf\u4e0e\u4f7f\u7528\u6210\u672c\u3002\u7528\u6237\u5173\u6ce8\u8def\u7531\u89c4\u5219\u662f\u5426\u81ea\u9002\u5e94\u3001API\u80fd\u5426\u66b4\u9732\u6210\u672c\/\u5ef6\u8fdf\u9884\u7b97\u63a7\u5236\u53c2\u6570\u3002\u5bf9\u5355\u4e00API\u96c6\u6210\u8868\u793a\u80af\u5b9a\uff0c\u8ba4\u4e3a\u964d\u4f4e\u4e86\u591a\u667a\u80fd\u4f53\u7cfb\u7edf\u7684\u4f7f\u7528\u95e8\u69db\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Sakana Fugu\u7684\u5b9a\u4f4d\u975e\u5e38\u7cbe\u51c6\u2014\u2014\u5b83\u4e0d\u662f\u5728\u9020\u53e6\u4e00\u4e2a\u201c\u5927\u6a21\u578b\u201d\uff0c\u800c\u662f\u5728\u505a\u5927\u6a21\u578b\u65f6\u4ee3\u7684\u201c\u8c03\u5ea6\u4e2d\u53f0\u201d\u3002\u4ece\u6280\u672f\u7406\u5ff5\u770b\uff0c\u201c\u591a\u6a21\u578b\u52a8\u6001\u7f16\u6392\u201d\u662f\u5bf9\u5f53\u524d\u5355\u4e00\u6a21\u578b\u5784\u65ad\u683c\u5c40\u7684\u795b\u9b45\uff1aClaude\u3001GPT-4\u5404\u6709\u77ed\u677f\uff0cFugu\u8bd5\u56fe\u901a\u8fc7\u4efb\u52a1\u62c6\u89e3\u548c\u6a21\u578b\u8def\u7531\uff0c\u8ba9\u7ec4\u5408\u62f3\u80dc\u8fc7\u5355\u4e00\u738b\u724c\u3002\u8fd9\u662f\u53cd\u5e38\u8bc6\u4f46\u6781\u5177\u5de5\u7a0b\u7406\u6027\u7684\u65b9\u5411\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u73b0\u5b9e\u8fdc\u6bd4Demo\u6b8b\u9177\u3002\u5f53\u524d\u7528\u6237\u53cd\u9988\u96c6\u4e2d\u5728\u6210\u672c\u548c\u5ef6\u8fdf\uff0c\u8fd9\u6070\u6070\u662f\u7f16\u6392\u6a21\u5f0f\u7684\u6838\u5fc3\u547d\u95e8\uff1a\u8c03\u7528N\u4e2a\u6a21\u578b\uff0c\u6210\u672c\u662fN\u500d\uff0c\u5ef6\u8fdf\u4e5f\u662fN\u500d\u3002\u5982\u679cFugu\u80fd\u4ee5Claude\u7684\u4ef7\u683c\u63d0\u4f9b\u8d85Claude\u7684\u6027\u80fd\uff0c\u90a3\u5546\u4e1a\u6a21\u578b\u6210\u7acb\uff1b\u5982\u679c\u53ea\u662f\u4e3a\u4e86\u201c\u53bb\u4f9b\u5e94\u5546\u4f9d\u8d56\u201d\u800c\u591a\u82b1\u4e00\u500d\u94b1\uff0c\u5e02\u573a\u6050\u6015\u7528\u811a\u6295\u7968\u3002\u6b64\u5916\uff0c\u8bc4\u8bba\u4e2d\u6709\u4eba\u654f\u9510\u95ee\u5230\u201c\u8def\u7531\u89c4\u5219\u662f\u5426\u81ea\u9002\u5e94\u201d\u2014\u2014\u8fd9\u5176\u5b9e\u5c31\u662fFugu\u7684\u62a4\u57ce\u6cb3\u662f\u5426\u5b58\u5728\u7684\u5173\u952e\uff1a\u5982\u679c\u53ea\u662f\u9759\u6001\u89c4\u5219+\u6a21\u578b\u8c03\u53c2\uff0c\u90a3\u5f88\u5feb\u4f1a\u88ab\u590d\u5236\uff1b\u5982\u679c\u771f\u80fd\u505a\u5230\u57fa\u4e8e\u4efb\u52a1\u7ed3\u679c\u7684\u5b66\u4e60\u4f18\u5316\uff0c\u624d\u5177\u5907\u957f\u671f\u58c1\u5792\u3002\n <\/p>\n<p class=\"ai-content\">\n \u6574\u4f53\u6765\u770b\uff0cFugu\u662f\u4e00\u4e2a\u6709\u91ce\u5fc3\u7684\u201c\u4e2d\u95f4\u5c42\u201d\u4ea7\u54c1\uff0c\u601d\u8def\u4f18\u4e8e\u5355\u6253\u72ec\u6597\uff0c\u4f46\u843d\u5730\u9700\u8981\u89e3\u51b3\u7ecf\u6d4e\u5b66\u95ee\u9898\uff1a\u7528\u66f4\u591a\u6a21\u578b\u3001\u66f4\u957f\u65f6\u95f4\uff0c\u6362\u6765\u8fb9\u9645\u6027\u80fd\u63d0\u5347\uff0c\u8fd9\u4e2a\u6ea2\u4ef7\u662f\u5426\u503c\u5f97\uff1f\u5bf9\u4e8e\u4e2d\u5c0f\u5f00\u53d1\u8005\uff0c\u4ef7\u683c\u654f\u611f\u5ea6\u6781\u9ad8\uff1b\u5bf9\u4e8e\u5927\u4f01\u4e1a\uff0c\u201c\u53bb\u4f9d\u8d56\u201d\u662f\u653f\u6cbb\u6b63\u786e\u4f46\u672a\u5fc5\u613f\u610f\u7acb\u523b\u4e70\u5355\u3002\u5efa\u8baeSakana AI\u5c3d\u5feb\u516c\u5f00\u8be6\u7ec6\u7684\u6210\u672c\/\u5ef6\u8fdf\u5bf9\u6bd4\u57fa\u51c6\uff0c\u5e76\u8003\u8651\u63d0\u4f9b\u201c\u6027\u80fd-\u6210\u672c\u6ed1\u52a8\u6761\u201dAPI\u2014\u2014\u8ba9\u7528\u6237\u81ea\u5df1\u51b3\u5b9a\u8981\u591a\u5c11\u201c\u96c6\u4f53\u667a\u80fd\u201d\uff0c\u800c\u4e0d\u662f\u88ab\u201c\u524d\u6cbf\u7ea7\u201d\u8bdd\u672f\u7ed1\u67b6\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Sakana Fugu<\/span>\n <\/div>\n<div class=\"comment-content\">Frontier-level performance without single-vendor dependency. Fugu dynamically orchestrates the world’s best models to tackle complex, multi-step tasks. Plug collective intelligence directly into your workflows today with a single API.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Way too expensive. Have not tried it, but why would I if it’s at price level with Claude, which is already the best, why bother?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Looks amazing! What about prompt caching? Should the overall model cost increase significantly?<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey Hunters! <\/p>\n<\/p>\n<p>I\u2019m excited to hunt <strong>Sakana Fugu<\/strong> today \u2014 a powerful new AI orchestration system from <strong>Japan<\/strong> \ud83c\uddef\ud83c\uddf5 that brings the capabilities of a full multi-agent team behind a single API endpoint.<\/p>\n<p>Instead of relying on one giant model, Fugu intelligently coordinates multiple AI models and agents to solve complex tasks, handling model selection, delegation, verification, and synthesis automatically. The result is frontier-level performance while keeping the developer experience as simple as calling a single model.<\/p>\n<\/p>\n<p>\ud83d\udc21 <strong>What makes Fugu interesting?<\/strong><br \/>\u2022 Multi-agent orchestration behind one OpenAI-compatible API<br \/>\u2022 Routes tasks to the most suitable models automatically<br \/>\u2022 Recursive agent coordination for difficult, multi-step problems<br \/>\u2022 Built-in resilience against vendor lock-in and model access restrictions<br \/>\u2022 Available in two versions: <strong>Fugu<\/strong> (speed-focused) and <strong>Fugu Ultra<\/strong> (maximum capability)<\/p>\n<\/p>\n<p>Whether you’re building coding assistants, research tools, cybersecurity workflows, or advanced AI applications, Fugu aims to give you the power of an entire AI team without the orchestration complexity.<\/p>\n<p>Congratulations to the Sakana AI team on the launch! \ud83c\uddef\ud83c\uddf5\ud83d\ude80<\/p>\n<\/p>\n<p>What would you build with a model that can orchestrate other models for you?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">The keys to this being usable will be latency and price\/usage. Fugu standard performs at the level of currently available frontier models; fugu ultra performs better, but if it costs the same as fable and\/or takes an inordinate amount of time to receive a response I don\u2019t see people going for it.<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The ‘dynamically orchestrates the world’s best models’ angle is genuinely interesting coming from Sakana – you’ve already shown that combining models can beat single-model approaches on specific tasks. Curious whether the orchestration decisions are fixed routing rules or if there’s an adaptive layer that learns from task outcomes over time. Also wondering if there’s cost\/latency budgeting exposed in the API – so a workflow can say ‘optimize for speed under $X per 1k tokens’ rather than just defaulting to max performance.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Wow, Japan enters the AI space with a big leap \ud83d\ude42 <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The single API part is the real hook for me. Multi-agent systems usually sound powerful until the integration starts feeling like a project of its own.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#10<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/BBXVXSGQVORSYG\" class=\"app-title\">Blazly SEO<\/a><\/p>\n<div class=\"one-liner\">Dominate SEO with an AI content operating system<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">137<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Blazly SEO \u662f\u4e00\u4e2aAI\u5185\u5bb9\u64cd\u4f5c\u7cfb\u7edf\uff0c\u5e2e\u52a9\u8425\u9500\u4eba\u5458\u5728\u4e00\u4e2a\u5e73\u53f0\u4e0a\u5b8c\u6210\u4ece\u5173\u952e\u8bcd\u53d1\u73b0\u3001\u7b56\u7565\u5236\u5b9a\u3001\u6279\u91cf\u64b0\u5199\u3001AI\u6da6\u8272\u3001SEO\u4f18\u5316\u5230\u76f4\u63a5\u53d1\u5e03\u5230WordPress\u7b49\u7f51\u7ad9\u7684\u5168\u6d41\u7a0b\uff0c\u89e3\u51b3SEO\u5de5\u4f5c\u4f9d\u8d56\u591a\u5de5\u5177\u3001\u6d41\u7a0b\u5272\u88c2\u7684\u75db\u70b9\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/1a0d13d1-a0c9-4b71-8a4d-5e10e471b6b7.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/a69c77a7-0bf8-4d9a-a040-0858e57480c1.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/60d82b82-bd4e-47d7-8a86-914e44fa4a52.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0b870546-f40f-4fce-b563-ed968b3933c3.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/46ca71b1-33fc-402a-80ee-4ad207240ab7.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f8764ebf-20b5-4a7d-b9fb-01d9da86c6ee.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/713c8af3-f800-4b97-87d2-3a40111181bd.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/f6c0fb97-94c6-4f7b-bbfb-1155c2f8427a.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/CXr2Wa9XvpY\"><source src=\"https:\/\/youtu.be\/CXr2Wa9XvpY\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Marketing<\/span><br \/>\n <span class=\"tag\">SEO<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">SEO\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">AI\u5199\u4f5c<\/span><br \/>\n <span class=\"tag\">\u5185\u5bb9\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u5173\u952e\u8bcd\u7814\u7a76<\/span><br \/>\n <span class=\"tag\">SEO\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">WordPress\u53d1\u5e03<\/span><br \/>\n <span class=\"tag\">\u5185\u5bb9\u7b56\u7565<\/span><br \/>\n <span class=\"tag\">Google Search Console<\/span><br \/>\n <span class=\"tag\">AI\u4eba\u58f0\u5316<\/span><br \/>\n <span class=\"tag\">\u6279\u91cf\u751f\u6210<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u5173\u6ce8AI\u5185\u5bb9\u4eba\u58f0\u5316\u6548\u679c\u4e0eAI\u68c0\u6d4b\u5bf9\u6297\u673a\u5236\uff1b\u54c1\u724c\u58f0\u97f3\u4e00\u81f4\u6027\uff08Brain\u529f\u80fd\uff09\u88ab\u8ba4\u53ef\uff1b\u6709\u53cd\u9988\u514d\u8d39\u7248\u4ec5\u53ef\u51995\u7bc7\u535a\u5ba2\u3001\u8bd5\u7528\u9650\u5236\u4f53\u9a8c\uff1b\u6838\u5fc3\u95ee\u9898\uff1a\u4e3a\u4f55\u5e94\u5207\u6362\u81f3Blazly\u800c\u975e\u52a0\u8d2d\u5176\u4ed6\u5de5\u5177\uff1b\u7528\u6237\u8be2\u95ee\u80fd\u5426\u8bc6\u522b\u8001\u6587\u7ae0\u8870\u51cf\u5e76\u63d0\u51fa\u5237\u65b0\u5efa\u8bae\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Blazly SEO\u7684\u5b9a\u4f4d\u806a\u660e\u4f46\u98ce\u9669\u9ad8\u3002\u5b83\u8bd5\u56fe\u5728\u201cAI\u5185\u5bb9\u64cd\u4f5c\u7cfb\u7edf\u201d\u8fd9\u4e00\u5b8f\u5927\u53d9\u4e8b\u4e0b\uff0c\u628aSEO\u5168\u94fe\u8def\u634f\u6210\u4e00\u4e2a\u95ed\u73af\u2014\u2014\u4ece\u7b56\u7565\u5230\u4ea7\u51fa\u518d\u5230\u53d1\u5e03\uff0c\u6b63\u662f\u76ee\u524d\u591a\u6570\u8425\u9500\u56e2\u961f\u75284-5\u4e2a\u5de5\u5177\u62fc\u51d1\u7684\u75db\u82e6\u6240\u5728\u3002\u5176\u201cBrain\u201d\u529f\u80fd\u843d\u5730\u54c1\u724c\u77e5\u8bc6\u5e93\uff0c\u76f8\u6bd4\u7eafAI\u751f\u6210\u5668\u66f4\u8d34\u8fd1\u5b9e\u9645\u5de5\u4f5c\u6d41\uff0c\u8fd9\u662f\u771f\u6b63\u7684\u4ea7\u54c1\u529b\u3002\u4f46\u95ee\u9898\u5728\u4e8e\uff0cSEO\u5de5\u5177\u8d5b\u9053\u4e0a\u5df2\u7ecf\u6324\u6ee1\u4e86Surfer\u3001Frase\u3001Clearscope\u7b49\u6210\u719f\u9009\u624b\uff0c\u5b83\u4eec\u8981\u4e48\u6df1\u5ea6\u7ed1\u5b9a\u6570\u636e\u3001\u8981\u4e48\u6709\u5e9e\u5927\u7684\u6a21\u677f\u5e93\uff0c\u800cBlazly\u76ee\u524d131\u7968\u7684\u58f0\u91cf\u8bf4\u660e\u5176\u5e02\u573a\u7a7f\u900f\u529b\u8fd8\u5f31\u3002\u8bc4\u8bba\u533a\u4e00\u4e2a\u7528\u6237\u5c16\u9510\u5730\u95ee\u51fa\u201c\u4e3a\u4f55\u8981\u5207\u6362\u800c\u975e\u52a0\u8d2d\u201d\uff0c\u56de\u5e94\u7684\u201c\u51cf\u5c11\u4e0a\u4e0b\u6587\u5207\u6362\u201d\u867d\u7136\u6b63\u786e\uff0c\u4f46\u8bf4\u670d\u529b\u4e0d\u8db3\u2014\u2014\u9664\u975e\u5b83\u80fd\u8bc1\u660e\u5355\u4e00\u5e73\u53f0\u5728\u5173\u952e\u8bcd\u6df1\u6316\u3001\u7ade\u4e89\u5206\u6790\u3001\u641c\u7d22\u610f\u56fe\u9884\u6d4b\u7b49\u4e13\u4e1a\u7ef4\u5ea6\u4e0a\u4e0d\u8f93\u5355\u70b9\u5de5\u5177\u3002\u53e6\u4e00\u4e2a\u9690\u5fe7\u662f\u201c\u4eba\u58f0\u5316\u201d\u4e0e\u201cAI\u68c0\u6d4b\u201d\u7684\u732b\u9f20\u6e38\u620f\uff1a\u7b97\u6cd5\u6c38\u8fdc\u5728\u70e7\u94b1\u6362\u65f6\u95f4\uff0c\u4e14\u5e76\u975e\u7528\u6237\u6301\u7eed\u4ed8\u8d39\u7684\u7406\u7531\u3002\u66f4\u5173\u952e\u7684\u662f\uff0cBlazly\u76ee\u524d\u5c1a\u672a\u5c55\u73b0\u5f3a\u52b2\u7684\u201c\u5b58\u91cf\u5185\u5bb9\u4f18\u5316\u201d\u80fd\u529b\uff0c\u6bd4\u5982\u8bc6\u522b\u5185\u5bb9\u8870\u51cf\u5e76\u63a8\u8350\u5237\u65b0\uff0c\u800c\u8fd9\u662f\u6210\u719fSEO\u5de5\u5177\u7684\u6838\u5fc3\u58c1\u5792\u3002\u4e00\u53e5\u8bdd\uff1aBlazly\u7684\u65b9\u5411\u5bf9\uff0c\u4f46\u79bb\u201c\u4ee3\u66ff\u5341\u6b3e\u5de5\u5177\u201d\u8fd8\u6709\u5f88\u957f\u7684\u8def\u8981\u8d70\uff0c\u73b0\u9636\u6bb5\u66f4\u9002\u5408\u8f7b\u91cf\u7ea7\u5185\u5bb9\u56e2\u961f\u5c1d\u9c9c\uff0c\u800c\u975e\u4e25\u8083\u7684SEO\u8fd0\u8425\u4e3b\u529b\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Blazly SEO<\/span>\n <\/div>\n<div class=\"comment-content\">Blazly SEO is the AI Content Operating System that helps marketers plan, write, optimize, humanize, and publish content from one platform. Discover keywords, build SEO strategies, generate blogs in bulk, automate workflows, connect Google Search Console, improve page speed, and publish directly to WordPress, Webflow, and more.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Product Hunt! \ud83d\udc4b<\/p>\n<p>SEO shouldn’t require 10 different tools.<\/p>\n<p>That’s why we built Blazly SEO.<\/p>\n<p>A platform that helps you discover keywords, build content strategies, generate blogs, humanize AI content, automate SEO workflows, and publish directly to your website.<\/p>\n<p>With Blazly SEO 2.0 we’ve added:<\/p>\n<p>\u270d\ufe0f AI Blog Writer<br \/>\n\u26a1 Bulk Content Generation<br \/>\n\ud83e\udde0 AI Humanizer<br \/>\n\ud83d\udd0d Keyword Discovery<br \/>\n\ud83d\udcc8 Strategy Builder<br \/>\n\ud83d\ude80 SEO Automation<br \/>\n\ud83d\udcca Google Search Console Integration<br \/>\n\u26a1 Page Speed Monitoring<br \/>\n\ud83c\udf10 WordPress & Webflow Publishing<br \/>\n\ud83d\udd17 LeadConnector & Webhook Integrations<\/p>\n<p>We’d love your feedback:<\/p>\n<p>\u2753What’s the most time-consuming part of your SEO workflow?<br \/>\n\u2753How many tools do you currently use to create and publish content?<\/p>\n<p>We’ll be here all day answering questions.<\/p>\n<p>Thanks for checking out Blazly SEO! \ud83d\ude80<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@srijita_b\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@srijita_b<\/a> With the Google Search Console integration, does Blazly mainly help with new content ideas, or can it also spot decay and suggest refreshes for older articles?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">The SEO content space is one of the most competitive AI categories right now, with established players like Surfer SEO, Frase, Clearscope, MarketMuse, and newer AI-first tools all fighting for the same users. <\/p>\n<p>What is the strongest reason a marketer would switch from their existing workflow to Blazly instead of simply adding another tool to the stack?<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@luki_notlowkey\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@luki_notlowkey<\/a> Great question! We don’t see Blazly as another tool in the stack. Our goal is to replace multiple disconnected tools with a single workflow.<\/p>\n<\/p>\n<p>Instead of jumping between keyword research, content planning, AI writing, optimization, publishing, and reporting tools, marketers can manage the entire content lifecycle in one place. <\/p>\n<\/p>\n<p>Less context switching, faster execution, and a workflow built around SEO outcomes rather than individual features. \ud83d\ude80<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>When keyword data, Search Console insights, content creation and publishing all happen in one platform which part of the workflow saving most time compared to using separate SEO tools?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Do you have a way to enforce a brand voice or editorial checklist before publishing?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@thamibenjelloun\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@thamibenjelloun<\/a> Yes! <\/p>\n<p>That’s one of the reasons we built the <strong>Brain<\/strong> feature.<\/p>\n<\/p>\n<p>Brain acts as a knowledge base for your brand, storing information about your products, services, audience, messaging, and content guidelines. This gives the AI more context when generating content, helping it stay aligned with your brand voice and editorial standards rather than producing generic content. \ud83d\ude80<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Really impressed with Blazly SEO so far. It saves a lot of time by handling everything from keyword research to content creation in one place.<\/p>\n<p>The platform is easy to use, and the content quality is surprisingly good. I especially like that it keeps helping optimize content after publishing instead of stopping at content generation.<\/p>\n<p>Great tool for anyone looking to grow organic traffic without spending hours on manual SEO work.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey, how do you evaluate whether content sounds genuinely better versus just less AI-detectable?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@noah_ben\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@noah_ben<\/a> Hi Noah, that’s a great question. <\/p>\n<p>It’s one of the toughest algorithms we’ve created to balance content quality while humanizing the text in a natural and effective way.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The website offers too few features\u2014you can only write five blog posts! Since other features cannot be tested, it is difficult to decide whether to make a purchase. This design choice is somewhat problematic; I suggest the site owner reconsider it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@bob_bo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@bob_bo<\/a> <br \/>Hi Bob,<\/p>\n<p>Please share your Blazly SEO registered email address with me at <a href=\"mailto:jerry@blazly.ai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">jerry@blazly.ai<\/a>, and I’ll grant you a 3-day free trial with access to all features. I hope this helps<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Curious how does Blazly handle the cat-and-mouse game of staying ahead of AI detection algorithms that update their patterns weekly?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@crystalmei\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@crystalmei<\/a> Great Question, we have built an algorithm to humanize text, and we continuously monitor and improve it to eliminate AI detector flags. I suggest you try writing a blog with Blazly SEO and then check the AI score using QuillBot or any other AI content detection tool.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Does it support WordPress!<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@marc_vuit\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@marc_vuit<\/a> Hi Marc, Yes Blazly support WordPress integration. <\/p>\n<p>The integration is very easy you can able to complete it in less than 2 minutes<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#11<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/E7YKWOOJTW5GQE\" class=\"app-title\">Conduit<\/a><\/p>\n<div class=\"one-liner\">Fix the tool-list bloat slowing your AI agent<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">131<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Conduit\u662f\u4e00\u4e2a\u672c\u5730\u4f18\u5148\u7684AI\u4ee3\u7406\u5de5\u5177\u7f51\u5173\uff0c\u901a\u8fc7\u6309\u9700\u641c\u7d22\u5de5\u5177\u5b9a\u4e49\u800c\u975e\u4e00\u6b21\u6027\u52a0\u8f7d\u6240\u6709\u5de5\u5177\uff0c\u6709\u6548\u524a\u51cf\u4e86MCP\u670d\u52a1\u5668\u96c6\u6210\u4e2d\u9ad8\u8fbe90%\u7684Token\u6d6a\u8d39\u4e0e\u4e0a\u4e0b\u6587\u81a8\u80c0\u95ee\u9898\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/79471901-789e-4f38-b7dd-0d3ec8e455db.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/9c7426a4-1f8b-4537-8e61-26989aaddb13.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/8847a3d4-1412-48da-9b88-94330f02b741.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/7adec624-7020-481f-8fc8-3f13abf03bca.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/HiKOo4cQfTY\"><source src=\"https:\/\/youtu.be\/HiKOo4cQfTY\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Open Source<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">GitHub<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">MCP\u7f51\u5173<\/span><br \/>\n <span class=\"tag\">Token\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">AI\u4ee3\u7406\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u4e0a\u4e0b\u6587\u538b\u7f29<\/span><br \/>\n <span class=\"tag\">\u672c\u5730\u4f18\u5148<\/span><br \/>\n <span class=\"tag\">\u5de5\u5177\u53d1\u73b0<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">Agent\u57fa\u7840\u8bbe\u65bd<\/span><br \/>\n <span class=\"tag\">\u6210\u672c\u63a7\u5236<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u666e\u904d\u8ba4\u540c\u5de5\u5177\u5217\u8868\u81a8\u80c0\u662f\u771f\u5b9e\u75db\u70b9\u3002\u6838\u5fc3\u95ee\u9898\u96c6\u4e2d\u5728\uff1a\u6309\u9700\u641c\u7d22\u7b56\u7565\u5728\u590d\u6742\u591a\u6b65\u9aa4\u4efb\u52a1\u4e2d\u662f\u5426\u6548\u7387\u4e0b\u964d\uff1f\u5982\u4f55\u9632\u8303\u5de5\u5177\u6a21\u5f0f\u4e2d\u9014\u53d8\u66f4\u5bfc\u81f4\u7684\u9648\u65e7schema\u9519\u8bef\uff1f\u4e0e\u540c\u7c7b\u5de5\u5177\u7684\u6839\u672c\u5dee\u5f02\u5728\u54ea\uff1f\u5f00\u53d1\u8005\u56de\u5e94\u5766\u627f\u4e86\u591a\u5de5\u5177\u89c4\u5212\u573a\u666f\u7684\u672a\u6d4b\u8bd5\u7f3a\u53e3\uff0c\u5e76\u8ba1\u5212\u901a\u8fc7\u6df7\u5408\u6a21\u5f0f\uff08\u5e38\u9a7b\u6838\u5fc3+\u5ef6\u8fdf\u641c\u7d22\uff09\u89e3\u51b3\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Conduit\u5207\u4e2d\u4e86\u5f53\u524dAI Agent\u5916\u56f4\u5de5\u5177\u94fe\u4e00\u4e2a\u6781\u5176\u9690\u853d\u5374\u53c8\u6210\u672c\u9ad8\u6602\u7684\u201c\u9690\u5f62\u6210\u672c\u201d\uff1a\u4e0a\u4e0b\u6587\u5e26\u5bbd\u7684\u65e0\u9650\u5185\u8017\u3002\u5f53\u6574\u4e2a\u884c\u4e1a\u90fd\u5728\u9f13\u5439\u201c\u8fde\u63a5\u4e00\u5207MCP\u201d\u65f6\uff0c\u5f88\u5c11\u6709\u5de5\u5177\u8003\u8651\u5230\u6bcf\u4e00\u4e2a\u672a\u88ab\u8c03\u7528\u7684\u5de5\u5177\u5b9a\u4e49\u90fd\u5728\u767d\u5ad6\u4f60\u6a21\u578b\u7684\u6709\u6548\u4e0a\u4e0b\u6587\u7a97\u53e3\u548cAPI\u8d26\u5355\u3002Conduit\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u53d1\u660e\u4e86\u65b0\u7684AI\u80fd\u529b\uff0c\u800c\u5728\u4e8e\u505a\u4e86\u884c\u4e1a\u7ea7\u7684\u57fa\u7840\u8bbe\u65bd\u4f18\u5316\uff1a\u7528\u4e00\u6b21\u6027\u7684\u5143\u5de5\u5177\u4ee3\u7406\u4ea4\u6362\u4e86\u65e0\u5c3d\u7684\u91cd\u590d\u5b9a\u4e49\u5f00\u9500\u3002\u5176\u201cRAG\u5f0f\u201d\u7684\u6309\u9700\u53d1\u73b0\u673a\u5236\uff0c\u867d\u7136\u88ab\u521b\u59cb\u4eba\u5766\u627f\u5728\u590d\u6742\u8de8\u5de5\u5177\u89c4\u5212\u4efb\u52a1\u4e2d\u4ecd\u9762\u4e34\u6536\u655b\u6311\u6218\uff0c\u4f46\u8fd9\u5e76\u4e0d\u59a8\u788d\u5b83\u6210\u4e3a\u5f53\u524d\u89e3\u51b3\u591a\u670d\u52a1\u5668\u6ee5\u52a0\u540e\u6a21\u7cca\u964d\u901f\u95ee\u9898\u7684\u9996\u9009\u65b9\u6848\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u8fd9\u79cd\u5bf9\u201c\u61d2\u52a0\u8f7d\u201d\u7684\u6781\u81f4\u8ffd\u6c42\u5b58\u5728\u4e00\u4e2a\u51e0\u4e4e\u660e\u724c\u7684\u6096\u8bba\uff1a\u5f53\u4f60\u7684Agent\u9700\u8981\u5236\u5b9a\u5168\u5c40\u6700\u4f18\u7b56\u7565\u65f6\uff0c\u5b83\u5fc5\u987b\u201c\u77e5\u9053\u5b83\u4e0d\u77e5\u9053\u4ec0\u4e48\u201d\u3002\u9690\u85cf\u6574\u4e2a\u5de5\u5177\u83dc\u5355\u5c06\u627c\u6740\u957f\u671f\u7684\u89c4\u5212\u80fd\u529b\u3002Conduit\u7684\u521b\u59cb\u4eba\u5bf9\u6b64\u7684\u56de\u5e94\uff08\u6df7\u5408\u6a21\u5f0f\uff09\u663e\u5f97\u8001\u7ec3\u2014\u2014\u4ed6\u53ea\u662f\u6ca1\u6709\u80fd\u529b\u5728\u6709\u9650\u65f6\u95f4\u5185\u9a8c\u8bc1\u4e00\u4e2a\u590d\u6742\u573a\u666f\u3002\u4f46\u4f5c\u4e3a\u5a92\u4f53\u89c2\u5bdf\u8005\uff0c\u6211\u4eec\u5fc5\u987b\u6307\u51fa\uff1aConduit\u6240\u505a\u7684\u4e00\u5207\u4f18\u5316\uff0c\u672c\u8d28\u4e0a\u662f\u5728\u5bf9\u6297\u5927\u6a21\u578b\u957f\u4e0a\u4e0b\u6587\u80fd\u529b\u5c1a\u672a\u5230\u4f4d\u7684\u201c\u4e34\u65f6\u6027\u57fa\u5efa\u7f3a\u9677\u201d\u3002\u4e00\u65e6\u6a21\u578b\u5728\u5355\u4f4dToken\u5185\u80fd\u5904\u7406\u767e\u4e07\u7ea7\u4e0a\u4e0b\u6587\u4e14\u6210\u672c\u8d8b\u96f6\uff0c\u8fd9\u4e2a\u75db\u70b9\u5c06\u81ea\u52a8\u6d88\u5931\u3002\u8fd9\u610f\u5473\u7740\u5176\u5546\u4e1a\u6a21\u5f0f\u7684\u751f\u547d\u5468\u671f\u9ad8\u5ea6\u53d7\u9650\u3002\u76ee\u524d\u6765\u770b\uff0c\u5b83\u66f4\u50cf\u662f\u4e00\u4e2a\u5b8c\u7f8e\u4e3b\u4e49\u6781\u5ba2\u4e3a\u73b0\u4e16\u6df7\u6c8c\u6253\u9020\u7684\u4e00\u5957\u4f18\u96c5\u4f46\u7ec8\u7a76\u4f1a\u88ab\u6d6a\u6f6e\u51b2\u5237\u8fc7\u7684\u4fee\u8865\u65b9\u6848\u3002\u5bf9\u4e8e\u6025\u9700\u63a7\u5236\u6210\u672c\u548c\u54cd\u5e94\u901f\u5ea6\u7684\u56e2\u961f\uff0c\u5b83\u662f\u4e00\u5ea7\u575a\u5b9e\u7684\u6d6e\u5c9b\uff1b\u4f46\u8981\u5c06\u5176\u5f53\u4f5c\u7ec8\u6781\u89e3\u51b3\u65b9\u6848\uff0c\u5219\u4e3a\u65f6\u8fc7\u65e9\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Conduit<\/span>\n <\/div>\n<div class=\"comment-content\">Your agent got slower the more MCP servers you added, and it’s not the model. Every server dumps its whole tool list into context on every request: 3 servers cost ~24k tokens before you even say hi. Conduit puts them behind one local gateway that exposes 3 meta-tools the agent searches on demand. Measured: 97% less tool overhead per request, ~90% fewer tokens, same task success. Cloud or local, one tool or five. Keys in your OS keychain. Free and open source.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hi Product Hunt \ud83d\udc4b<\/p>\n<\/p>\n<p>I’m Tyler, the maker of Conduit<\/p>\n<\/p>\n<p>I kept adding MCP servers to my AI tools, and the more I added, the slower and less reliable my agents got. The reason surprised me: every MCP server loads its entire tool list into the model’s context on every single request. On my setup that was roughly 24,000 tokens of tool definitions sitting in context before I’d typed a word, and the model discards all of it between calls, so you pay for it again on the next one.<\/p>\n<\/p>\n<p>Conduit fixes that. It’s a local-first gateway that sits between your AI tools and your MCP servers. Each client connects to it once, and instead of exposing every tool, it exposes three meta-tools the agent searches on demand. The full catalog is still available; it just no longer sits in context on every request.<\/p>\n<\/p>\n<p>I benchmarked it on a real setup: 97% less tool overhead per request, around 90% fewer total tokens, at the same task success rate. The full method and numbers are in the repo.<\/p>\n<\/p>\n<p>This helps no matter how you work. On cloud models, those tokens are your bill. On local models, the tool definitions eat your context window. Either way, you stop paying for tools the agent never calls.<\/p>\n<\/p>\n<p>A few things I focused on:<\/p>\n<p>\u2022 API keys stay in your OS keychain, never in a config file<\/p>\n<p>\u2022 Nothing phones home, it’s fully local-first<\/p>\n<p>\u2022 Works with 17 clients today across Windows, macOS, and Linux<\/p>\n<p>\u2022 Free and open source<\/p>\n<\/p>\n<p>I’d love your feedback, especially on which MCP servers or clients you’d like supported next. Thanks for checking it out \ud83d\ude4f<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tsouth2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tsouth2<\/a> Interesting approach. Context bloat is an underrated problem with MCP setups, so reducing tool overhead by routing everything through a local gateway makes a lot of sense. I especially like the on-demand discovery model and the fact that it stays local with no accounts or cloud dependency\u2014feels like a practical way to scale multi-server workflows without paying a huge token tax.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tsouth2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tsouth2<\/a> Hey, how does Conduit decide which tools to surface through the meta-tools: semantic search over tool descriptions, recent usage, server priority, or something else?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tsouth2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tsouth2<\/a> Congrats on the launch! Solid work on the engagement side – you’re answering the hard questions straight, which builds real trust.<\/p>\n<\/p>\n<p>One thing I noticed is your positioning says “helps no matter how you work,” but your thread answers point to something much tighter – teams at specific pressure points (token budgets are tight, catalog is massive, costs are real). That’s not a weakness to hide, it’s your ICP and the PROBLEM you solve.<\/p>\n<\/p>\n<p>Right now, someone reads your post and thinks “cool infrastructure fix,” not “I need this Tuesday.” But someone building a 62-tool agent setup <em>already in pain<\/em> reads Jaemin’s question about per-tool visibility and goes “wait, I need that view <em>now<\/em>.”<\/p>\n<\/p>\n<p>What if the opening named <em>who’s hitting this wall right now<\/em>, and the urgency was “your agent stack is slow and you don’t know why” instead of “tool definitions are expensive”? The tech stays the same, the landing just rotates to the person who’s already searching for an answer.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>~90% token cut on MCP is a big claim and a real pain point. is that from trimming tool schemas\/results or actual response compression?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@reallynattu\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@reallynattu<\/a> <\/p>\n<p>Great question, and it’s neither exactly. It’s lazy discovery: the gateway advertises 3 meta-tools (search \/ call \/ status) instead of your whole catalog. The agent searches for the tool it needs and pulls just that schema in on demand, so the full set of tool definitions never sits in context.<\/p>\n<\/p>\n<p>So it’s not schema or result compression, it’s keeping the bulk of the catalog out of context until it’s actually needed. The per-request number is the tool-def overhead (62 tools = ~24k tokens of schemas, vs ~660 for 3 meta-tools); the ~90% over a full task is that amortized across an agent loop, where the whole list would otherwise re-send every turn.<\/p>\n<\/p>\n<p>Honest scope: it’s tool definitions we cut, not result payloads, so a server that returns a giant blob is unchanged. Full method’s in <a href=\"http:\/\/BENCHMARK.md\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">BENCHMARK.md<\/a> if you want to pick it apart.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The 90% token reduction claim is the part I want to understand better. Is that coming from stripping context on the client side before it ever hits the model, or are you doing something smarter like caching tool descriptions and only sending diffs when the schema hasn’t changed? Those are pretty different architectures with pretty different failure modes. Also curious how Conduit handles situations where the MCP server schema changes mid-session, since a stale cached description passed to the model could cause subtle tool-call errors that are annoying to debug.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@fberrez1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fberrez1<\/a> <\/p>\n<p>Neither, actually, it’s closer to retrieval than stripping or diffing. The gateway is itself the MCP server your client connects to, and it only ever advertises 3 meta-tools (search \/ call \/ status). So the model never receives the full catalog in the first place, nothing to strip client-side, no diff to send, because the full set of definitions was never in context to begin with. When the model needs something it calls the search meta-tool, gets back just the matching schemas, and calls through. Basically RAG, but for tools.<\/p>\n<\/p>\n<p>On the stale-schema risk, good instinct, that’s the real failure mode with any tool caching. Honest status:<\/p>\n<ul>\n<li>\n<p>The cache refreshes on config changes (toggling\/adding\/removing a server, auth), and the gateway emits tools\/list_changed upstream when it does.<\/p>\n<\/li>\n<li>\n<p>It does NOT yet auto-refresh when a downstream server changes its own schema mid-session, those notifications are currently skipped. Real gap, and it’s the obvious next step: listen for the downstream’s tools\/list_changed, re-fetch, refresh, propagate up.<\/p>\n<\/li>\n<\/ul>\n<p>Two things shrink the blast radius in the meantime, and they fall out of the lazy approach for free:<\/p>\n<ol>\n<li>\n<p>The model retrieves a schema right before it calls, not once at session start, so what it gets is as fresh as the last rebuild instead of stale for the whole session.<\/p>\n<\/li>\n<li>\n<p>The call routes live to the server, which validates against its current schema. A stale description doesn’t silently misbehave, it surfaces as a normal tool error from the real server, annoying but debuggable, not mysterious.<\/p>\n<\/li>\n<\/ol>\n<p>So not bulletproof against mid-session schema churn yet, but the architecture makes the window smaller and the failures louder than loading everything up front.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is exactly the kind of agent-infra pain that is easy to miss until it becomes a bill or latency problem. The tool-list bloat detail is useful because it names a concrete failure mode, not just \u201ctoo many tokens.\u201d Curious: do you see teams wanting per-server\/per-tool usage visibility too, or is the gateway meant to stay invisible once configured?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@jaemin_song\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jaemin_song<\/a> <\/p>\n<p>Great question, and it’s a both\/and. The gateway is invisible in the request path, your client just talks to Conduit and never sees the routing, but because every call funnels through one place, that same chokepoint is where the visibility comes from for free.<\/p>\n<\/p>\n<p>So per-server and per-tool visibility is already in today: the Activity view logs every call and breaks it down by server and by tool, with volume, error rates, and latency (avg + p95). That came straight out of my own debugging, when an agent “mysteriously” stalls, you want to see exactly which server’s tool errored or went slow.<\/p>\n<\/p>\n<p>Where it’s thin right now is the team dimension. That audit log is local, per machine. Shared\/aggregated visibility across a team (plus audit export, central policy) is the natural next layer, and honestly where I’d expect a paid tier to sit, but I’m holding off on the team backend until there’s real pull for it. The local version is the validator.<\/p>\n<\/p>\n<p>So: invisible in the path, intentionally visible in the dashboard, and the team view is the obvious next step once the demand’s there.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey, congrats!<\/p>\n<p>Could you please elaborate on benchmarking the solution – how did you measure the success rate, and what benchmarks did you use?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@perrymason\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@perrymason<\/a> <\/p>\n<p>Thanks! Happy to break it down, and upfront: it’s a small, honest benchmark, not a standardized suite.<\/p>\n<\/p>\n<p>Setup: 3 real MCP servers (Stripe, Neon, Vercel), 62 tools total, driven by a local model (Qwen2.5-7B via LM Studio). Tasks were simple real ones like “list the projects in Vercel” that force the agent to find and call the correct tool. Each ran in both modes, all 62 tools loaded vs Conduit’s 3 meta-tools, 5 runs each, median reported.<\/p>\n<\/p>\n<p>Two numbers, two measurements:<\/p>\n<ul>\n<li>\n<p>The 97% less tool-def overhead per request is deterministic, just counting tokens in the advertised tool list (62 schemas = ~24k tokens vs ~660 for 3 meta-tools). No model involved, so no noise.<\/p>\n<\/li>\n<li>\n<p>The ~90% fewer total tokens and the success rate come from running the agent loop. Success = the agent found and called the right tool and completed the task, scored pass\/fail per run. Lazy mode matched all-tools-loaded on success while using ~90% fewer tokens. And at a tight context budget (8k), the full list actually overflowed before the first prompt, so lazy completed tasks the flat setup couldn’t even fit.<\/p>\n<\/li>\n<\/ul>\n<p>Honest caveats: it’s a handful of tasks on a small catalog, one local model, not a big eval. The harness is in the repo (benchmark\/), so you can point it at your own servers, tasks, and model, that’s the part worth trusting more than my numbers.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The tool list bloat before you even start a task is so real, glad someone is fixing it at the gateway layer instead of inside each agent. Does it handle servers that change their tool list at runtime, or is the catalog cached per session? Congrats on shipping.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@i_sanjay_gautam\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@i_sanjay_gautam<\/a> <\/p>\n<p>Thanks! The gateway layer was the whole bet: solve it once and every client benefits, instead of each agent reinventing it.<\/p>\n<\/p>\n<p>On the catalog: not per-session, it’s a live cache. The gateway watches its config and rebuilds (re-fetching tools, re-emitting tools\/list_changed to your client) whenever you toggle, add, remove, or auth a server.<\/p>\n<\/p>\n<p>Honest gap: if a server changes its own tool list at runtime with no config change, Conduit doesn’t auto-detect that yet, it skips the server’s tools\/list_changed notification today, so that case stays cached until the next rebuild or a restart. Handling that notification is the clear next step.<\/p>\n<\/p>\n<p>What softens it: with lazy discovery the agent searches for a tool right before calling it, so it’s working from the latest rebuild rather than a session-start snapshot, and the call routes live, so a tool that’s actually gone fails loudly instead of silently.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>MCPs definitely eat into the token usage at ridiculous rates. How is your service different from other similar solutions?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ys_ryu\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ys_ryu<\/a> <\/p>\n<p>Good question. Most MCP gateways solve a management problem: one place to configure many servers and point all your clients at it. Useful, but they still hand the model every server’s full tool list, so the token cost stays the same (sometimes worse, since now it’s one giant combined list).<\/p>\n<\/p>\n<p>Conduit’s difference is that it actually cuts the tokens. Instead of exposing the whole catalog, the gateway advertises 3 meta-tools and the agent searches for what it needs on demand. Measured ~90% fewer tokens at the same task success. Aggregation that’s also a reduction, not just a router.<\/p>\n<\/p>\n<p>A couple of other differences:<\/p>\n<ul>\n<li>\n<p>Local-first and native: no Docker, no cloud, no account. It runs as a desktop app with keys in your OS keychain, not a config file or a server.<\/p>\n<\/li>\n<li>\n<p>It configures your clients for you (with a backup first) and can migrate a client’s existing servers in, instead of you hand-editing JSON.<\/p>\n<\/li>\n<\/ul>\n<p>Honest version: if you just want many servers in one place, plenty of tools do that well. If you want that <em>and<\/em> your context bill cut, that’s the specific thing Conduit is built around.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The token overhead problem is real – 24k tokens before the agent does anything is a genuine waste. My question is about the ‘same task success’ benchmark scope. Tasks like ‘list the projects in Vercel’ are the easy case for lazy discovery because the right tool is obvious from the description. What happens on tasks where the agent needs to plan across tools it doesn’t know upfront – say ‘debug why my payment flow is broken’ across Stripe, your DB, and Vercel logs simultaneously? Does the search-first approach still converge reliably, or does it end up doing multiple search round trips that eat back some of the savings?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@galdayan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@galdayan<\/a> This is the sharpest version of the question, and you’re right, the benchmark is the easy case. Single-tool tasks where the description basically names the tool are where lazy discovery looks best, and I won’t pretend the 90% transfers cleanly to “debug the payment flow across Stripe, the DB, and Vercel logs.”<\/p>\n<\/p>\n<p>On tokens: the round-trips eat back some of the savings, but usually not all. Each search returns a bounded, ranked set of schemas, not the whole catalog, so a handful of searches costs a few thousand tokens total, versus flat re-sending all 62 definitions every single turn. On a multi-turn task the per-turn savings still compound; the round-trips shave the margin, they don’t erase it. What <em>does<\/em> erase it is a task that needs most of the catalog, at that point you’re paginating the whole thing in and lazy stops helping.<\/p>\n<\/p>\n<p>On convergence, that’s the real open question, and the honest answer is I haven’t benchmarked it. The cost I won’t wave away: when the agent can’t see the full menu, it loses awareness of what’s even possible, which bites hardest on exactly the planning-heavy “I don’t know what I’ll need yet” tasks you’re describing. Search ranking is built to help (one query for “payment” should surface the related Stripe\/DB\/logs tools together to cut round-trips), but “built to help” isn’t “measured.”<\/p>\n<\/p>\n<p>So the honest scope: clear win when a task uses a small slice of a big catalog (most tasks), genuinely open for hard multi-tool planning. That’s what I want to measure next, and if search-first hurts convergence there, the answer is probably a hybrid, a small always-loaded core plus lazy for the long tail, not forcing one mode on everything. Great question!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This matches the pain from long-running agent work: the tool catalog becomes infrastructure noise. I like that the agent asks for the catalog when it needs it instead of carrying every tool description into every turn. Stale schema handling is the contract I would keep very visible.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@krekeltronics\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krekeltronics<\/a> “Infrastructure noise” nails it, that’s the whole thing.<\/p>\n<\/p>\n<p>And you’re right about the contract. The honest current state: the catalog refreshes on config changes, and the call always routes live, so a stale description fails loudly from the real server rather than silently, but Conduit doesn’t yet react to a server changing its own schema mid-session. I’ve been saying that out loud in this thread, and you’re pushing me to make it a documented guarantee instead of a buried caveat, which is the right call.<\/p>\n<\/p>\n<p>So the plan: write the freshness behavior down as an actual contract (when the cache refreshes, what the staleness window is, how a stale call surfaces), then close the gap by reacting to the downstream’s tools\/list_changed. Genuinely useful framing, thank you.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#12<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/7C4DCG63GC7CZR\" class=\"app-title\">jebi<\/a><\/p>\n<div class=\"one-liner\">A supercharged terminal for Mac with built-in local AI<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">130<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>jebi \u662f\u4e00\u6b3e\u5185\u7f6e\u672c\u5730 AI \u7684 Mac \u7ec8\u7aef\uff0c\u65e0\u9700 API \u5bc6\u94a5\u548c\u8ba2\u9605\uff0c\u80fd\u5728\u547d\u4ee4\u51fa\u9519\u65f6\u81ea\u52a8\u89e3\u91ca\u9519\u8bef\u5e76\u7ed9\u51fa\u4fee\u590d\u5efa\u8bae\uff0c\u5728\u7528\u6237\u6267\u884c\u547d\u4ee4\u540e\u667a\u80fd\u63a8\u8350\u4e0b\u4e00\u6b65\u64cd\u4f5c\uff0c\u89e3\u51b3\u4e86\u5f00\u53d1\u8005\u9891\u7e41\u8df3\u51fa\u7ec8\u7aef\u641c\u7d22\u6216\u9057\u5fd8\u6307\u4ee4\u7684\u75db\u70b9\uff0c\u8ba9 AI \u8f85\u52a9\u5728\u4e0d\u6253\u65ad\u5de5\u4f5c\u6d41\u7684\u524d\u63d0\u4e0b\u878d\u5165\u7ec8\u7aef\u64cd\u4f5c\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/4da4fc55-9e23-411f-9916-50a5979bb9f4.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f94fdd02-cc4d-47aa-8019-6061f83acfae.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/8034a1e9-c299-4076-9070-a96f99a432a4.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0483ea70-c54b-4367-8fdd-c61a34a37e28.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f7705f5b-fb8e-4393-9b75-a7eed5b92e6a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Mac<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">GitHub<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Mac \u7ec8\u7aef<\/span><br \/>\n <span class=\"tag\">\u672c\u5730 AI<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90<\/span><br \/>\n <span class=\"tag\">\u547d\u4ee4\u884c\u589e\u5f3a<\/span><br \/>\n <span class=\"tag\">\u9519\u8bef\u89e3\u91ca<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u5efa\u8bae<\/span><br \/>\n <span class=\"tag\">\u9690\u79c1\u4f18\u5148<\/span><br \/>\n <span class=\"tag\">\u65e0\u4e91\u7aef\u4f9d\u8d56<\/span><br \/>\n <span class=\"tag\">\u7ec8\u7aef\u7f8e\u5316<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u666e\u904d\u8ba4\u53ef\u672c\u5730 AI \u5e26\u6765\u7684\u4f4e\u5ef6\u8fdf\u548c\u9690\u79c1\u4f18\u52bf\uff0c\u91cd\u70b9\u8be2\u95ee\u4e86\u6a21\u578b\u8def\u7531\u3001\u5185\u5b58\u5360\u7528\u3001\u53ef\u8c03\u8282\u7684\u4e3b\u52a8\u6027\u3001\u5b89\u5168\u6027\uff08macOS \u672a\u9a8c\u8bc1\u5f00\u53d1\u8005\u8b66\u544a\uff09\u4ee5\u53ca\u662f\u5426\u652f\u6301 Quake \u6a21\u5f0f\u3002\u5f00\u53d1\u56e2\u961f\u56de\u5e94\u79f0\u6a21\u578b\u901a\u8fc7\u504f\u597d\u8bbe\u7f6e\u7edf\u4e00\u8c03\u5ea6\uff0c\u63a8\u8350 16GB \u673a\u578b\u4f7f\u7528 Qwen2.5 1.5B\uff0c\u5efa\u8bae\/\u89e3\u91ca\u529f\u80fd\u5747\u53ef\u72ec\u7acb\u5f00\u5173\uff0c\u5e76\u9488\u5bf9\u5b89\u5168\u63d0\u793a\u7ed9\u51fa\u4e86\u89e3\u51b3\u65b9\u6848\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n jebi \u7684\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u201cAI \u8fdb\u7ec8\u7aef\u201d\uff0c\u800c\u5728\u4e8e\u5b83\u91cd\u65b0\u5b9a\u4e49\u4e86 AI \u4f5c\u4e3a\u5de5\u5177\u800c\u975e\u66ff\u4ee3\u8005\u7684\u89d2\u8272\u3002\u5728\u5927\u91cf AI \u4ea7\u54c1\u8ffd\u6c42\u201c\u81ea\u52a8\u9a7e\u9a76\u201d\u5f0f\u4f53\u9a8c\u7684\u5f53\u4e0b\uff0c\u5b83\u9009\u62e9\u4e86\u201c\u8f85\u52a9\u9a7e\u9a76\u201d\u2014\u2014\u53ea\u5efa\u8bae\u3001\u4e0d\u6267\u884c\uff0c\u53ea\u89e3\u91ca\u3001\u4e0d\u4ee3\u52b3\u3002\u8fd9\u79cd\u514b\u5236\u53cd\u800c\u662f\u6700\u806a\u660e\u7684\u4ea7\u54c1\u51b3\u7b56\uff0c\u56e0\u4e3a\u7ec8\u7aef\u662f\u5c11\u6570\u8ba9\u6307\u4ee4\u9519\u8bef\u76f4\u63a5\u4ea7\u751f\u7834\u574f\u6027\u540e\u679c\u7684\u754c\u9762\uff0c\u4e00\u65e6 AI \u8d8a\u754c\uff0c\u4fe1\u4efb\u5c06\u77ac\u95f4\u5f52\u96f6\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ece\u6280\u672f\u5b9e\u73b0\u770b\uff0c\u672c\u5730\u5316\u90e8\u7f72 Qwen\u3001Gemma\u3001Phi-3 \u89e3\u51b3\u4e86\u4e91\u7ec8\u7aef\u7684\u4e24\u4e2a\u6838\u5fc3\u77db\u76fe\uff1a\u5ef6\u8fdf\u7834\u574f\u5fc3\u6d41\uff0c\u4ee5\u53ca\u9690\u79c1\u4e0d\u53ef\u63a7\u3002\u4f46\u201c\u672c\u5730\u201d\u4e5f\u662f\u53cc\u5203\u5251\u2014\u20141-2GB \u7684\u5185\u5b58\u5360\u7528\u5bf9 8GB Mac \u4ecd\u662f\u6c89\u91cd\u8d1f\u62c5\uff0c\u4e14\u5c0f\u6a21\u578b\u7684\u89e3\u91ca\u8d28\u91cf\u5728\u590d\u6742\u9519\u8bef\u573a\u666f\u4e0b\u53ef\u80fd\u6ca6\u4e3a\u201c\u534a\u61c2\u88c5\u61c2\u201d\u3002\u5f00\u53d1\u8005\u9009\u62e9\u5728 3 \u4e2a\u6708\u5185\u5b8c\u6210 xterm.js+PTY \u6e32\u67d3\u57fa\u7840\u5e76\u96c6\u6210 llama.cpp\uff0c\u6280\u672f\u6267\u884c\u529b\u503c\u5f97\u80af\u5b9a\uff0c\u4f46\u76ee\u524d\u529f\u80fd\u4ecd\u504f\u57fa\u7840\uff1a\u7f3a\u5c11\u4f1a\u8bdd\u6301\u4e45\u5316\u3001\u591a\u8bbe\u5907\u540c\u6b65\u548c\u63d2\u4ef6\u4f53\u7cfb\uff0c\u672c\u8d28\u4e0a\u8fd8\u662f\u4e00\u4e2a\u201c\u5e26 AI \u52a9\u624b\u7684\u6f02\u4eae\u7ec8\u7aef\u201d\uff0c\u800c\u975e\u201c\u4e0b\u4e00\u4ee3\u7ec8\u7aef\u5e73\u53f0\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u6700\u5927\u7684\u9690\u5fe7\u5728\u4e8e\u53ef\u6301\u7eed\u6027\u3002\u5f00\u6e90\u514d\u8d39\u53e0\u52a0\u672c\u5730\u90e8\u7f72\uff0c\u7f3a\u4e4f\u53d8\u73b0\u8def\u5f84\uff1b\u800c\u793e\u533a\u4e00\u65e6\u6d8c\u5165\uff0c\u5bf9\u6a21\u578b\u80fd\u529b\u3001\u5feb\u6377\u952e\u4e60\u60ef\u3001\u63d2\u4ef6\u751f\u6001\u7684\u8bc9\u6c42\u4f1a\u8fc5\u901f\u81a8\u80c0\u3002jebi \u76ee\u524d\u6700\u5927\u7684\u62a4\u57ce\u6cb3\u662f\u201c\u4e0d\u6253\u6270\u201d\u7684\u4ea7\u54c1\u54f2\u5b66\uff0c\u4f46\u8fd9\u6070\u6070\u5bb9\u6613\u88ab\u5176\u4ed6\u4e3b\u6d41\u7ec8\u7aef\uff08\u5982 iTerm2\u3001Warp\uff09\u590d\u5236\u3002\u5982\u679c\u540e\u7eed\u4e0d\u80fd\u6293\u4f4f\u5f00\u53d1\u8005\u5bf9\u201c\u9519\u8bef\u4e0a\u4e0b\u6587\u5173\u8054\u201d\u548c\u201c\u672c\u5730\u77e5\u8bc6\u5e93\u68c0\u7d22\u201d\u7684\u521a\u6027\u9700\u6c42\u5f62\u6210\u5dee\u5f02\u5316\uff0c\u5b83\u5f88\u53ef\u80fd\u4f1a\u6ca6\u4e3a\u4e00\u6b21\u6709\u8da3\u7684\u5b9e\u9a8c\uff0c\u800c\u975e\u771f\u6b63\u6539\u53d8\u5f00\u53d1\u8005\u5de5\u4f5c\u6d41\u7684\u5de5\u5177\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">jebi<\/span>\n <\/div>\n<div class=\"comment-content\">jebi is a supercharged Mac terminal with built-in local AI \u2014 no API key, no subscription, no cloud. After every command, it suggests what to run next. Hit an error? jebi explains it in plain English and tells you how to fix it. Type \/ask to chat with AI right in your terminal. All AI runs on-device with Qwen, Phi-3, and Gemma \u2014 your commands never leave your Mac. Beautiful UI, split panes, tabs, custom themes, grain texture, and slash commands like \/ls and \/ports.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey PH! \ud83d\udc4b<\/p>\n<p>I built jebi because I was tired of alt-tabbing to Google every time a command failed or I forgot a git flag. I wanted AI in the terminal \u2014 not as a separate app, not a cloud service, just quietly available when I need it.<\/p>\n<p>The hardest part was keeping it out of the way. Most AI tools interrupt your flow. jebi only speaks up after an error (to explain it) or after a command (to suggest what’s next). Otherwise it stays silent.<\/p>\n<p>But beyond AI, I also wanted a terminal that actually looks good. jebi has split panes, tabs, custom themes, a grain texture, and a clean input bar with ghost-text suggestions \u2014 the kind of polish you’d expect from a modern Mac app, not a terminal emulator from 2005.<\/p>\n<p>Everything runs locally \u2014 Qwen, Phi-3, Gemma \u2014 no API key, no subscription. Your commands never leave your machine.<\/p>\n<p>It’s free, open source, and installable in one line:<\/p>\n<p> brew install –cask jebi<\/p>\n<p>Would love to hear what you think \u2014 especially if something breaks \ud83d\ude05<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@jawahars16\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jawahars16<\/a> Love the local-first approach. Running AI entirely on-device with no API keys or subscriptions removes a lot of friction, and explaining terminal errors in plain English feels especially useful. The combination of AI assistance and a polished terminal experience makes this an interesting alternative to traditional terminals.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The restraint is what sells it for me \u2014 AI that only speaks up after an error or a finished command beats an always-on copilot stealing focus. With Qwen, Phi-3, and Gemma all running on-device, how do you route between them: is each model pinned to a task (error-explain vs \/ask vs next-command suggestion), and what’s the rough resident memory footprint with them loaded? On a 16GB Mac that’s the one thing I’d want to know before switching my daily terminal.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@hi_i_am_mimo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@hi_i_am_mimo<\/a> Great question on the routing \u2014 right now jebi uses one active model across all AI features (error explanations, suggestions, \/ask). You pick it in Preferences \u2192 AI and it serves everything. No per-task routing yet, though that’s an interesting direction.<\/p>\n<\/p>\n<p>On memory: for 16GB, I’d recommend Qwen2.5 1.5B (1.1GB, fast) or Gemma 2 2B (1.6GB, balanced) \u2014 both leave plenty of headroom. If you want more quality, Phi-3 Mini 3.8B (2.2GB) or Qwen2.5-Coder 3B (1.9GB, code-focused) are solid mid-tier options. I run Qwen3 4B on a 24GB machine and it sits comfortably without impacting anything else.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>local model in the terminal is the right instinct \u2014 the cloud round-trip is what kills flow when you just want a quick command rewrite. the quality-vs-resident-size tradeoff is where this gets interesting.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@qifengzheng\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@qifengzheng<\/a> Exactly \u2014 the round-trip latency is the killer for flow. On the tradeoff: jebi lets you choose from 7 models (Qwen3 4B\/8B, Gemma 3, Phi-3, and more) so you can match the model to your machine \u2014 pick a lighter 1.1GB model for speed or go up to 5GB for quality. The scope is also narrow enough that you don’t need GPT-4 scale \u2014 a model that understands shell commands and your session context beats a smarter model with a 2-second cloud round-trip.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Suggest and explain, rather than act, is the right default for a terminal. The terminal is too close to real damage for autonomy-first UX; the product earns trust by making the next step legible and still requiring intent.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@krekeltronics\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krekeltronics<\/a> Exactly this. “Legible and requiring intent” is the right frame \u2014 the terminal is the one place where autonomy-first AI would genuinely erode trust rather than build it. Appreciate you putting it so clearly.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Local and no cloud is what sells me. Keeping everything on my own machine beats having the smartest model. Nice work.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Looks great! Any plans to implement a quake mode?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/products\/jebi-the-terminal-that-thinks-with-you\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"jebi-the-terminal-that-thinks-with-you\" target=\"_blank\" rel=\"noopener\">@jebi<\/a> unable to open after installing on mac<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/8f55ccdf-d6d5-4cb8-8994-8a2d63f5d6c1.png?auto=compress,format&codec=mozjpeg&cs=strip\" style=\"max-width: 100%\"><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@surenganne\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@surenganne<\/a> Thanks for trying it out. <\/p>\n<p>This is a standard macOS security prompt for apps outside the App Store \u2014 jebi is safe to open! To fix it: go to System Settings \u2192 Privacy & Security, scroll down, and click “Open Anyway” next to jebi. You’ll only need to do this once.<\/p>\n<\/p>\n<p>We also have this noted on the website (hover the ? icon in install section)<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/b4b0101d-038d-47db-9a37-57e15e84c67a.png?auto=compress,format&codec=mozjpeg&cs=strip\" style=\"max-width: 100%\"><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Can you tune how proactive it is or turn suggestions off for certain commands?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@naimz\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@naimz<\/a>  Yes! Head to Preferences \u2192 AI \u2192 Advanced \u2014 you can toggle command suggestions, error explanations, directory context, and output analysis independently. Turn off just what you don’t want.<\/p>\n<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/192d5b1b-48e3-4da4-a133-cb1362e7fcf8.png?auto=compress,format&codec=mozjpeg&cs=strip\" style=\"max-width: 100%\"><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The terminal is such an interesting place for this because the cost of a wrong suggestion is higher than in a text editor. Curious how you’re thinking about trust: does jebi mostly suggest\/explain, or can it also take action directly inside the shell?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@vidur_saini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vidur_saini<\/a> Really well put \u2014 that’s exactly the tension we thought about a lot. jebi is strictly suggest-and-explain, never act. It shows next-command suggestions as chips, you click or press \u2318\u23251\/2\/3 to run \u2014 nothing executes without user consent. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">How long did it take you to build it<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@marc_vuit\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@marc_vuit<\/a> About 3 months of evenings and weekends! The terminal rendering (xterm.js + PTY) and getting llama.cpp running reliably on Apple Silicon were the hardest parts. The AI integration itself was actually faster once the foundation was solid.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#13<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/UPJLB2WHEJ42IF\" class=\"app-title\">Sipcode<\/a><\/p>\n<div class=\"one-liner\">Keep Claude Code’s context clean for sharper answers<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">129<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Sipcode \u4e3a Claude Code \u63d0\u4f9b\u4e0a\u4e0b\u6587\u6e05\u6d01\u5c42\uff0c\u901a\u8fc7\u53bb\u91cd\u540c\u4e00\u4f1a\u8bdd\u4e2d\u672a\u53d8\u66f4\u6587\u4ef6\u7684\u91cd\u590d\u8bfb\u53d6\u3001\u622a\u65ad\u5197\u957f\u5de5\u5177\u8f93\u51fa\uff08\u5982 npm install\u3001grep \u65e5\u5fd7\uff09\uff0c\u786e\u4fdd\u6a21\u578b\u53ea\u5904\u7406\u6709\u6548\u4fe1\u53f7\u800c\u975e\u566a\u58f0\uff0c\u4ece\u800c\u63d0\u5347\u56de\u7b54\u51c6\u786e\u6027\u4e0e\u4ee3\u7406\u7a33\u5b9a\u6027\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/df45f25b-311a-44b7-9240-15691e29f8b3.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/vKXZNjCJ-HA\"><source src=\"https:\/\/youtu.be\/vKXZNjCJ-HA\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/63f934c1-7d4c-44a2-a967-ca0f03e31b2b.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/4779ef94-f75d-4c87-ab40-4a28fdbc87eb.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/a2fb1639-ca06-4af3-ae22-6fe008354a63.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/9e626e02-02dc-45e1-8942-c90f677c9522.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Open Source<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">GitHub<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u7f16\u7a0b\u52a9\u624b<\/span><br \/>\n <span class=\"tag\">\u4e0a\u4e0b\u6587\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">Claude Code<\/span><br \/>\n <span class=\"tag\">Token\u8282\u7701<\/span><br \/>\n <span class=\"tag\">\u5de5\u5177\u8f93\u51fa\u622a\u65ad<\/span><br \/>\n <span class=\"tag\">\u91cd\u590d\u8bfb\u53d6\u53bb\u91cd<\/span><br \/>\n <span class=\"tag\">MIT\u5f00\u6e90<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7406\u53ef\u9760\u6027<\/span><br \/>\n <span class=\"tag\">\u4e0a\u4e0b\u6587\u6c61\u67d3\u4fee\u590d<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u666e\u904d\u8ba4\u53ef\u91cd\u590d\u8bfb\u53d6\u4e0e\u65e5\u5fd7\u6cdb\u6ee5\u662f\u771f\u5b9e\u75db\u70b9\uff1b\u95ee\u9898\u805a\u7126\u5728\uff1a\u622a\u65ad\u662f\u5426\u9690\u85cf\u7ed3\u679c\uff08\u5b98\u65b9\u56de\u7b54\u7528\u539f\u751f\u53c2\u6570\u6ce8\u5165\u5e76\u4fdd\u7559\u6807\u8bb0\uff09\u3001\u53bb\u91cd\u5224\u65ad\u4f9d\u636e\uff08\u57fa\u4e8e\u6587\u4ef6\u5185\u5bb9\u54c8\u5e0c\uff0c\u53d8\u5316\u7acb\u5373\u653e\u884c\uff09\u3001\u662f\u5426\u53ef\u7531\u6a21\u578b\u4e3b\u52a8\u7981\u7528\uff08\u5f53\u524d\u4ec5\u652f\u6301\u9010\u8c03\u7528\u7ed5\u8fc7\uff0c\u5168\u5c40\u914d\u7f6e\u5f85\u5b8c\u5584\uff09\u3002\u5efa\u8bae\u589e\u52a0\u8bed\u97f3\u65c1\u767d\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Sipcode \u505a\u4e86\u4e00\u4ef6\u6b63\u786e\u4f46\u5403\u529b\u4e0d\u8ba8\u597d\u7684\u810f\u6d3b\uff1a\u5728\u4e0d\u5f15\u5165\u8bed\u4e49\u7406\u89e3\u7684\u524d\u63d0\u4e0b\uff0c\u7528\u673a\u68b0\u89c4\u5219\u786c\u5316 Claude Code \u7684\u4e0a\u4e0b\u6587\u8fb9\u754c\u3002\u5b83\u7684\u6838\u5fc3\u4ef7\u503c\u4e0d\u5728\u201c\u8282\u7701 62.6% Token\u201d\u8fd9\u4e2a\u6570\u5b57\uff0c\u800c\u5728\u4e8e\u901a\u8fc7 PreToolUse hook,\u5185\u5bb9\u54c8\u5e0c\u6bd4\u8f83,\u539f\u751f\u53c2\u6570\u6ce8\u5165\u4e09\u5c42\u8bbe\u8ba1\uff0c\u628a\u201c\u591a\u5c11\u4fe1\u53f7\u88ab\u4e22\u5f03\u201d\u53d8\u5f97\u53ef\u91cf\u5316\u3001\u53ef\u5ba1\u8ba1\u2014\u2014\u6bcf\u4e2a\u91cd\u5199\u5668\u58f0\u660e 0-1 \u7684\u5b8c\u6574\u6027\u5206\u6570\uff0c\u6bcf\u4e00\u7b14\u8282\u7701\u80cc\u540e\u90fd\u8ddf\u7740\u80fd\u5426\u8ba9\u6a21\u578b\u770b\u89c1\u88ab\u622a\u5185\u5bb9\u7684\u900f\u660e\u627f\u8bfa\u3002\u8fd9\u79cd\u201c\u635f\u5931\u800c\u975e\u5e7b\u60f3\u201d\u7684\u52a1\u5b9e\u59ff\u6001\uff0c\u6bd4\u5f53\u4e0b\u6d41\u884c\u7684\u5927\u89c4\u6a21\u8bed\u4e49\u538b\u7f29\u66f4\u503c\u5f97\u4fe1\u4efb\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u5fc5\u987b\u6307\u51fa\u51e0\u4e2a\u5e76\u672a\u89e3\u51b3\u7684\u7ed3\u6784\u6027\u95ee\u9898\uff1a\u9996\u5148\uff0c\u5b83\u53ea\u80fd\u622a\u65ad\u548c\u53bb\u91cd\uff0c\u65e0\u6cd5\u5bf9\u65e9\u524d\u4e0a\u4e0b\u6587\u4e2d\u7684\u5e9f\u5f03\u8def\u5f84\u3001\u5931\u8d25\u5c1d\u8bd5\u8fdb\u884c\u4e3b\u52a8\u6e05\u7406\u2014\u2014\u8fd9\u4e9b\u624d\u662f\u9020\u6210\u6a21\u578b\u201c\u51b3\u7b56\u6f02\u79fb\u201d\u7684\u4e3b\u56e0\u3002\u5176\u6b21\uff0c\u622a\u65ad\u9608\u503c\uff08grep \u7531 50 \u63d0\u5230 100\uff09\u4ecd\u5c5e\u9759\u6001\u542f\u53d1\uff0c\u4e00\u65e6\u771f\u5b9e\u9700\u8981\u7b2c 101 \u6761\u5339\u914d\uff0c\u5373\u4f7f\u6807\u6ce8\u4e86\u622a\u65ad\u6807\u8bb0\uff0c\u6a21\u578b\u4ecd\u53ef\u80fd\u57fa\u4e8e\u4e0d\u5b8c\u6574\u4fe1\u606f\u505a\u9519\u8bef\u51b3\u7b56\u3002\u6700\u540e\uff0c\u5f00\u53d1\u8005\u627f\u8ba4\u7f3a\u5c11\u4ece\u6a21\u578b\u4fa7\u81ea\u4e3b\u8c03\u4f18\u201c\u8c28\u614e\u5ea6\u201d\u7684\u53cd\u9988\u56de\u8def\u2014\u2014\u8fd9\u610f\u5473\u7740\u9047\u5230\u8fc7\u5ea6\u622a\u65ad\u573a\u666f\u65f6\uff0c\u7528\u6237\u53ea\u80fd\u624b\u52a8\u62c6\u9664\u6574\u4e2a\u94a9\u5b50\u3002\n <\/p>\n<p class=\"ai-content\">\n Sipcode \u662f\u6700\u597d\u7684\u7b2c\u4e00\u5c42\u8fc7\u6ee4\u7f51\uff0c\u4f46\u4e0d\u662f\u4e0a\u4e0b\u6587\u6cbb\u7406\u7684\u4ee3\u9910\u3002\u5b83\u7528 MIT \u8bb8\u53ef\u548c 0 \u7f51\u7edc\u8c03\u7528\u6362\u6765\u4e86\u793e\u533a\u4fe1\u4efb\uff0c\u4f46\u8981\u628a\u201c\u6e05\u767d\u4e0a\u4e0b\u6587\u201d\u4ece\u5de5\u7a0b\u6280\u5de7\u6f14\u8fdb\u4e3a\u53ef\u9760\u8303\u5f0f\uff0c\u9700\u8981\u5728\u8bed\u4e49\u91cd\u8981\u6027\u6392\u540d\u548c\u52a8\u6001\u81ea\u9002\u5e94\u4e0a\u8e0f\u51fa\u4e0b\u4e00\u6b65\u3002\u5bf9\u4e8e\u91cd\u5ea6 Claude Code \u7528\u6237\uff0c\u88c5\u4e0a\u662f\u964d\u566a\u5fc5\u9009\u9879\uff0c\u4f46\u8981\u7559\u610f\u5b83\u7684\u8fb9\u754c\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Sipcode<\/span>\n <\/div>\n<div class=\"comment-content\">Context hygiene for Claude Code. Caps verbose tool output and dedupes same-session re-reads so the model sees signal, not noise. Anthropic measures 29% quality lift from cleaner context. Proof: 62.6% median tool-output savings on a locked 20-task benchmark. MIT.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey PH. I’m Anuj, solo indie dev. Built Sipcode because I kept watching Claude Code re-read the same files 6-8 times per session and re-print 4,000-line npm install logs into its context. Each unnecessary token in the window pushes signal out and makes the next answer worse. That is the reliability problem I built it to fix.<\/p>\n<p>It is a PreToolUse hook for Claude Code. Caps verbose output (git log, npm install, grep, tsc), dedupes same-session re-reads of unchanged files, exposes 15 MCP tools so Claude can read its own context-hygiene stats. Anthropic’s own research: cleaner context lifts quality 29% and cuts agent errors 40%. That is the mechanism Sipcode targets.<\/p>\n<p>Tokens saved are the PROOF the context got cleaner. Locked 20-task benchmark: 62.6% median tool-output savings, $67.43 per corpus run, reproducible on any machine. The benchmark task list is checked into the repo.<\/p>\n<p>Honest disclosure that became the launch story: last week my drift tool said 624,940 tokens wasted in a single session. My proxy –stats credited only 7,553 saved. 83x undercount, my own tool lying to me. Root cause was mid-session installs leaving the first half of the session uncached. Shipped v1.6.15 with Verified Warm-Fill 24h later, drift now reads “no drift detected.” Shipped v1.6.16 today with cache-defer and grep-cap fixes. Three releases in nine days.<\/p>\n<p>MIT, zero network calls in normal use (privacy test fails the build if anyone imports node:http in src\/). Happy to answer anything technical, especially the Warm-Fill correctness proof or the benchmark methodology.<\/p>\n<p>If Sipcode saves you a session, a star on the repo at github.com\/Anuj7411\/sipcode would mean a lot to a solo project trying to find the people who would actually benefit from this.<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@axlerodd\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@axlerodd<\/a> This is an incredibly smart utility. \ud83d\udee0\ufe0f Anyone who uses Claude Code heavily knows how quickly repetitive file reads and long error dumps eat up the context window and cause model drift. Deduping same-session re-reads and capping tool output is a game-changer for keeping answers sharp. Love that you backed this up with hard benchmark data, and keeping it MIT-licensed is fantastic for the community!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The re-read dedup looks like a clear win! QQ – when you inject a head_limit on a grep Claude ran without one, does the model see a “truncated, N more matches exist” marker? Does it read the capped list as the full set? Overall, very well done!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@artstavenka1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@artstavenka1<\/a> Good question, and it gets at the exact risk I worried about with this rewriter.<\/p>\n<p>Key thing: I inject the native head_limit parameter rather than truncating the output myself. So whatever Claude Code normally surfaces when a grep is capped is preserved untouched, I’m setting the same param a user could set by hand, not post-processing the result and stripping a marker. I never hide matches behind the model’s back.<\/p>\n<p>The honest residual risk is the one you’re pointing at: if a real query genuinely needed more than the cap, the model works from the capped set. That’s exactly why v1.6.16 raised the cap from 50 to 100. My dogfood data showed native-grep was the highest-volume and lowest-integrity rewriter, and 50 was clipping real symbol lookups across larger codebases. 100 covers the vast majority of real Claude Code greps while still bounding pathological ones. The rewriter declares a 0.78 integrity score precisely to keep that residual honest in the stats.<\/p>\n<p>Two guardrails: it never reorders, it keeps ripgrep’s native ordering for the first N, and if Claude sets its own head_limit I leave it alone and don’t override. So the model can always opt out by being explicit.<\/p>\n<p>Appreciate you reading down to this level.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Claude Code users know how quickly context gets polluted with logs, repetitive outputs, and tool noise \ud83d\ude05 The idea of treating context as a limited resource rather than an infinite one really resonates. Curious… what was the most surprising source of context bloat you discovered while building Sipcode?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@harini_mukesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@harini_mukesh<\/a> Thanks Harini. Honest answer: it was not the verbose tool output, even though that is the biggest absolute number. It was watching Claude re-read the same file three times in a single task because each tool call thinks it is starting fresh.<\/p>\n<p>I built a quick counter expecting maybe 5-10% of reads to be duplicates. The real number on a 4-hour refactor session was 38%. More than a third of every Read was the model looking at bytes it had literally just seen. Not a model failure, a memory architecture failure, the agent does not have a cheap way to remember “I already loaded this”, so it just re-fetches and pays the token cost.<\/p>\n<p>The surprising part is that this is invisible. You feel like the session is slowing down, you blame the model, you switch to a smaller context. You do not realize you are paying 800 tokens to re-read the same file Claude saw 90 seconds ago.<\/p>\n<p>The npm install walls and tsc dumps are the obvious wins. The re-read pattern is the one that quietly eats half your context window before you notice.<\/p>\n<p>What does your context-pollution profile look like when you actually measure it?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The same-session re-read dedup is the part I’d test first \u2014 re-reading unchanged files 6-8x is exactly what quietly poisons a long Claude Code session. How do you decide a file is “unchanged” between reads: mtime, content hash, or git state, and does that still hold when a subagent reads the same file in its own context branch? Caps on npm\/tsc output make sense too, but can the model pull the full uncapped log on demand when it actually needs it?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch, Anuj! As someone who lives in Claude Code all day (I’ve built a whole stack of custom skills around it), context bloat from verbose tool output is a very real pain, so a tool that caps it and dedupes same-session re-reads is solving something I actually feel.<\/p>\n<p>Also have to call out the launch video. It’s genuinely one of the best I’ve seen on PH, and the music gave me a wave of RPG nostalgia. Already chatted with you about it. Starring this and trying it on my setup today. \ud83c\udf1f<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@patrickaitrapp\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@patrickaitrapp<\/a> This means a lot, Patrick, thank you. Someone who lives in Claude Code all day and has built their own stack of skills is exactly who I built this for, so hearing the context-bloat pain land with you is the best signal I could get today.<\/p>\n<p>And thank you on the video. The RPG-nostalgia read is the exact mood I was chasing, so it landing that way made my day. Would genuinely love to hear how it runs on your setup once you have tried it, your stack sounds like a real stress test.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Claude Code rereading the same files and dumping huge logs into context is painfully familiar. I like that Sipcode tackles the boring cleanup layer instead of pretending a bigger context window fixes everything.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@jostin_trunerg\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jostin_trunerg<\/a> Thanks Jostin, that is exactly the bet. A bigger context window just means more room to make the same mess. The boring cleanup layer is unglamorous but it is where the actual reliability lives. Appreciate you seeing the angle.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The dogfooding story sells this more than any benchmark \u2014 discovering your own drift tool read 624,940 tokens wasted while –stats credited 7,553 saved, then root-causing it to uncached mid-session installs and shipping Warm-Fill in 24h. Most launches would’ve quietly buried that. And the 38% duplicate-Read finding finally names that “why does this session feel sluggish” sensation I could never explain.<\/p>\n<p>One question on the dedup: you canonicalize LF and BOM before the byte comparison. For files where whitespace carries meaning \u2014 Python, Makefiles, YAML \u2014 can that normalization ever flatten a real change into a false no-op, or is it strictly newline\/BOM and never touches interior whitespace?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@david_vilalta\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@david_vilalta<\/a> Great question, and it is the exact thing I was paranoid about when I wrote it<br \/>.<\/p>\n<p>It is strictly line-ending plus a leading BOM, and it never touches interior whitespace. The whole canonicalizer is two operations: strip one leading U+FEFF, then replace CRLF and lone CR with LF. That is it. No tab\/space folding, no indentation collapsing, no trailing-whitespace trimming. So a real change in a Python block’s indentation, a tab-vs-space edit in a Makefile, or a re-nest in YAML all survive as genuine byte differences and the read passes through. They are never flattened to a false no-op.<\/p>\n<p>The only thing it does flatten is a pure line-ending change or a BOM toggle with no other edit. For Python, Make, and YAML that is a semantic no-op anyway, so deduping it is the correct call rather than a risk. The one theoretical exception is a file whose meaning literally depends on CRLF bytes, like a fixture testing newline handling, but that is not Claude re-reading source for understanding, and even then the cost is one redundant read, never a wrong one.<\/p>\n<p>Design rule I held to: when unsure, let the read through. A missed dedup costs tokens. A wrong dedup costs trust.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch! Keeping Claude Code context clean is a very real pain point for anyone building with AI coding tools. I like the focus on sharper answers instead of just longer context. How are you deciding what should stay in context versus what should be summarized or dropped?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@rahulbhavsar\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rahulbhavsar<\/a> Thanks Rahul. The rule is intentionally boring: I never summarize and I never drop anything model-facing. I only rewrite where I can prove the rewrite preserves every fact Claude could realistically need next.<\/p>\n<p>So for Bash output I cap volume (head_limit on grep, truncating npm install walls). For Read I dedup byte-identical re-reads inside the same session, with a hash check against current disk so changed files always pass through. Each rewriter declares a 0-1 integrity score so the savings number is never decoupled from how lossy the rewrite is.<\/p>\n<p>Semantic summarization and importance ranking are higher-leverage and I have research on both, but neither clears the bar I’ve set for shipping into someone else’s session. Lossless first, lossy never.<\/p>\n<p>Are you hitting a case where you wish it dropped more aggressively, or kept more?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Context bloat is my #1 frustration with Claude Code in long sessions. You watch it re-read the same files and re-print npm install walls of text and by the end of a complex session the answers are noticeably worse. The 40% agent error reduction stat is the one that got my attention – quality lift is nice but errors are the thing that actually breaks workflows. The PreToolUse hook approach is smart because it intercepts before the context gets polluted rather than trying to clean up after. Installing this today. Does it handle situations where Claude Code genuinely needs to re-read a file because it changed, or does it dedupe those too?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@galdayan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@galdayan<\/a> Thanks Gal, that 40% number is exactly why I lean on it over the quality lift in the copy.<\/p>\n<p>To your question: no, changed files are never deduped. On every potential dedup hit, the proxy compares cached bytes against current disk bytes after LF and BOM canonicalization. If they differ by even one byte, the read goes through untouched. The cost is one stat + hash per re-read, the benefit is I never feed Claude stale content. Designed it that way because a wrong dedup is worse than no dedup at all.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Great minimal video you have I liked it but would have been more interesting with a voiceover!<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@divvsaxena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@divvsaxena<\/a> Divv, thanks. Fair point on the voiceover. Went visual-only because most X\/LinkedIn previews play muted, but you are right that it would carry more.<\/p>\n<p>A voiceover cut with the dogfood story narrated is a really good post-launch follow-up. Adding to the list. Appreciate the eye.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The context window management problem in Claude Code is real. Long sessions accumulate dead weight fast, old tool outputs, abandoned approaches, redundant file reads, and once the context gets bloated the model starts hedging more and the answers get muddier. Curious whether Sipcode is doing something principled to decide what to prune (like deprioritizing failed attempts or stale file state) or whether it’s more of a manual curation layer where you’re telling it what to keep. Also wondering if there’s any handling for cases where something that looked like a dead end earlier in the session turns out to be relevant again.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@fberrez1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fberrez1<\/a> Florent, sharp question. The distinction you are drawing is real.<\/p>\n<p>Honest answer: Sipcode operates at the mechanical layer, not the semantic one. It does NOT currently decide “this approach was abandoned” or “this file is stale.” That kind of semantic curation needs an LLM in the loop (kills the privacy story) or a structured intent trace (research territory).<\/p>\n<p>What Sipcode does today:<\/p>\n<p>1. Reads: dedup by file path + content hash. If Claude already read it and disk has not changed, the re-Read short-circuits. Original content stays in context.<\/p>\n<p>2. Verbose tool output (git log, npm install, grep, find): cap volume via parameter injection. Static rules, not semantic.<\/p>\n<p>On your dead-end-becomes-relevant-again case: Sipcode does not remove what is already in context. It catches DUPLICATIVE reads only. If something seemed irrelevant earlier and matters now, Claude still has the original bytes and can re-engage.<\/p>\n<p>The real edge case: if Sipcode caps a verbose output (grep at 100 results) and result #500 was the one you needed. That is a failure mode. Every rewriter declares an integrity score on each fire so over-stripping is visible in sipcode why.<\/p>\n<p>Semantic curation (deprioritize failed attempts, drop stale state) is the right next layer. Honest pre-commitment: it requires an architecture I have not figured out yet, or a privacy compromise I am not willing to make. Thinking on it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey, congrats! <\/p>\n<p>A couple of questions.<\/p>\n<p>Have you measured the quality performance somehow? I mean, the speed\/quality on certain tasks.<\/p>\n<p>Also – is it configurable be Claude to “disable” it if needed, if it things that the hook over-stripped the content?<\/p>\n<p>Thanks!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@perrymason\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"perrymason\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@perrymason<\/a> Hey Viacheslav, thanks for the early look and the real questions.<\/p>\n<p>On quality measurement: no controlled A\/B on real user tasks yet. What I measure directly is per-rewriter signal kept (every rewriter declares an integrity score on each fire), tool-output savings on a locked 20-task benchmark (62.6% median, range 37.4% to 80.6%, reproducible via sipcode benchmark from the repo), and per-session proxy stats.<\/p>\n<p>The 29% quality lift number is Anthropic’s published research, not mine. I am careful not to claim Sipcode users specifically see 29%. The gap between “context got cleaner” (measurable) and “answers got better by X%” (requires controlled experiments) is real and I would rather flag it than oversell.<\/p>\n<p>On configurability, three layers:<\/p>\n<p>Per-tool-call: if Claude passes an explicit parameter (head_limit on Grep, count output mode, explicit offset on Read), the relevant rewriter detects the user-supplied value and steps aside. Claude can effectively opt out of compression for a specific call by being explicit. Rewriters skip rather than fight.<\/p>\n<p>Per-rewriter selective disable via env var or config: not shipped yet. Honest gap. Today a user who hits over-stripping either passes an explicit param on that call or removes the proxy entirely via sipcode proxy –uninstall.<\/p>\n<p>Per-session bypass triggered from inside the agent: also not shipped. Your specific scenario, where Claude itself decides “this hook over-stripped, back off for now”, is a really good design idea I have not built. The per-fire integrity scores are there, so the data exists. Wiring it to an agent-side self-modulation primitive is something I want to think about for v1.7.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#14<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/GSVGJJLZJK5VKU\" class=\"app-title\">BestDefense.io<\/a><\/p>\n<div class=\"one-liner\">Pentest and patch every deploy with AI<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">127<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>BestDefense.io \u662f\u4e00\u6b3e\u5c06AI\u6e17\u900f\u6d4b\u8bd5\u4e0e\u81ea\u52a8\u4fee\u590d\u96c6\u6210\u5230CI\/CD\u6d41\u7a0b\u4e2d\u7684\u5b89\u5168\u5de5\u5177\uff0c\u4e13\u4e3a\u9ad8\u5408\u89c4SaaS\u56e2\u961f\u8bbe\u8ba1\uff0c\u89e3\u51b3\u4f20\u7edf\u626b\u63cf\u5668\u8bef\u62a5\u7387\u9ad8\u3001\u4fee\u590d\u5468\u671f\u957f\u7684\u95ee\u9898\uff0c\u786e\u4fdd\u6bcf\u6b21\u90e8\u7f72\u540e\u90fd\u80fd\u6301\u7eed\u9a8c\u8bc1\u548c\u4fee\u8865\u771f\u5b9e\u53ef\u5229\u7528\u7684\u6f0f\u6d1e\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f8b196cb-7a3c-4f5c-9326-36ebd394dcc4.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0e60e056-8284-448a-9725-6e637529042c.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/c8d045b4-0a2b-4bbf-bd39-5d94f59ccb41.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/728f802a-975b-41d6-aac3-bc5f87bd3483.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/ced6c6ce-a3d5-4023-b3fe-a1701071ffda.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/e4e0d17c-a2ba-4447-8eaf-fe55da1392db.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/07b859ca-1d45-4a1d-b43c-f4f6019b3a17.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/e5e9088f-7e47-48eb-8eaa-906cef0f1b7b.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/53bd6fcf-a13a-4595-8bb2-cd530f8f56bd.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/c31dbd04-5dde-4e8a-b8ce-6c06d34abf06.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/f3a02edc-c84c-4d27-9010-ff6a1d57cf89.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/X9kAOgYFyE0\"><source src=\"https:\/\/youtu.be\/X9kAOgYFyE0\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Development<\/span><br \/>\n <span class=\"tag\">Security<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u6e17\u900f\u6d4b\u8bd5<\/span><br \/>\n <span class=\"tag\">\u6301\u7eed\u5b89\u5168\u9a8c\u8bc1<\/span><br \/>\n <span class=\"tag\">CI\/CD\u96c6\u6210<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u6f0f\u6d1e\u4fee\u590d<\/span><br \/>\n <span class=\"tag\">\u8bef\u62a5\u8fc7\u6ee4<\/span><br \/>\n <span class=\"tag\">SaaS\u5408\u89c4<\/span><br \/>\n <span class=\"tag\">\u5e94\u7528\u5b89\u5168<\/span><br \/>\n <span class=\"tag\">\u57fa\u7840\u8bbe\u65bd\u5b89\u5168<\/span><br \/>\n <span class=\"tag\">AI\u8f85\u52a9\u4fee\u590d<\/span><br \/>\n <span class=\"tag\">DevSecOps<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u79f0\u8d5e\u5176\u81ea\u52a8\u6e17\u900f\u6d4b\u8bd5\u548cAI\u4fee\u590d\u529f\u80fd\uff0c\u6709\u6548\u51cf\u5c11\u8bef\u62a5\u3002\u5173\u952e\u5efa\u8bae\uff1a1. \u4f18\u5316\u590d\u6742\u8ba4\u8bc1\u6d41\u7a0b\uff08\u5982OAuth\u591a\u6b65\u767b\u5f55\uff09\u7684\u652f\u6301\uff1b2. \u589e\u52a0\u5bf9GitLab\u7684\u96c6\u6210\uff1b3. \u5b8c\u5584\u4e0ePrometheus\u3001Grafana\u7b49\u76d1\u63a7\u5de5\u5177\u7684\u6574\u5408\uff1b4. \u5bf9AI\u751f\u6210\u7684\u8865\u4e01\u9700\u6709\u9a8c\u8bc1\u95ed\u73af\uff0c\u9632\u6b62\u5f15\u5165\u56de\u5f52\u95ee\u9898\uff1b5. \u5ba1\u8ba1\u65e5\u5fd7\u9700\u63d0\u4f9b\u5b8c\u6574\u4ea4\u6613\u51ed\u8bc1\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n BestDefense.io \u5728\u201c\u5b89\u5168\u5de6\u79fb\u201d\u6cdb\u6ee5\u7684\u5e02\u573a\u4e2d\uff0c\u9009\u62e9\u4e86\u4e00\u6761\u66f4\u52a1\u5b9e\u7684\u8def\u5f84\uff1a\u4e0d\u5355\u7eaf\u589e\u52a0\u626b\u63cf\u9891\u7387\uff0c\u800c\u662f\u901a\u8fc7\u201c\u53ef\u6267\u884c\u5316\u9a8c\u8bc1\u201d\u76f4\u63a5\u6d88\u706d\u5b89\u5168\u56e2\u961f\u6700\u5934\u75bc\u7684\u5047\u9633\u6027\u566a\u97f3\u3002\u5176\u6838\u5fc3\u4ef7\u503c\u4e0d\u5728\u4e8e\u201c\u53d1\u73b0\u6f0f\u6d1e\u201d\uff0c\u800c\u5728\u4e8e\u201c\u8bc1\u660e\u6f0f\u6d1e\u53ef\u88ab\u5229\u7528\u201d\u5e76\u201c\u81ea\u52a8\u751f\u6210\u6700\u5c0f\u4fee\u590d\u8865\u4e01\u201d\uff0c\u8fd9\u76f4\u51fb\u4e86\u4f20\u7edfDAST\/SAST\u5de5\u5177\u6ca6\u4e3a\u5408\u89c4\u6446\u4ef6\u3001\u5f00\u53d1\u8005\u4e0e\u5b89\u5168\u56e2\u961f\u76f8\u4e92\u7529\u9505\u7684\u884c\u4e1a\u75db\u70b9\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u4ece\u8bc4\u8bba\u53cd\u9988\u770b\uff0c\u4ea7\u54c1\u7684\u62a4\u57ce\u6cb3\u53ef\u80fd\u4e0d\u591f\u6df1\u3002\u7528\u6237\u63d0\u51fa\u7684\u590d\u6742\u8ba4\u8bc1\u6d41\u7a0b\u652f\u6301\uff08\u5982OAuth\u591a\u6b65\u767b\u5f55\uff09\u4ecd\u662f\u6280\u672f\u96be\u70b9\uff0c\u5f53\u524d\u4f9d\u8d56Puppeteer\u811a\u672c\u6216\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\uff0c\u672c\u8d28\u4e0a\u4ecd\u662f\u4eba\u5de5\u914d\u7f6e\uff0c\u5e76\u672a\u5b8c\u5168\u5b9e\u73b0\u201c\u65e0\u611f\u63a5\u5165\u201d\u3002\u6b64\u5916\uff0cAI\u81ea\u52a8\u4fee\u590d\u5728\u5546\u4e1a\u73af\u5883\u4e2d\u662f\u4e00\u628a\u53cc\u5203\u5251\u2014\u2014\u5c3d\u7ba1\u5b98\u65b9\u5f3a\u8c03\u201c\u6700\u5c0f\u6539\u52a8\u201d\u548c\u201c\u56de\u5f52\u6d4b\u8bd5\u201d\uff0c\u4f46\u7f3a\u4e4f\u5bf9\u4e1a\u52a1\u903b\u8f91\u53d8\u66f4\u7684\u6df1\u5ea6\u7406\u89e3\uff0c\u8865\u4e01\u4ecd\u53ef\u80fd\u5f15\u5165\u9690\u85cf\u7684\u903b\u8f91\u6f0f\u6d1e\uff0c\u8fd9\u5728\u91d1\u878d\u3001\u533b\u7597\u7b49\u5f3a\u5408\u89c4\u573a\u666f\u4e0b\u98ce\u9669\u6781\u9ad8\u3002\u66f4\u5173\u952e\u7684\u662f\uff0c\u4ea7\u54c1\u62a4\u57ce\u6cb3\u5728\u4e8e\u201c\u95ed\u73af\u201d\uff0c\u5982\u679c\u5bf9\u624b\uff08\u5982GitLab\u3001GitHub\u5185\u7f6e\u7684AI\u6f0f\u6d1e\u4fee\u590d\uff09\u4e5f\u80fd\u5b9e\u73b0\u7c7b\u4f3c\u7684\u9a8c\u8bc1-\u4fee\u590d\u94fe\u8def\uff0cBestDefense\u7684\u72ec\u7acb\u4ef7\u503c\u5c06\u88ab\u5927\u5e45\u538b\u7f29\u3002\n <\/p>\n<p class=\"ai-content\">\n \u672c\u8d28\u4e0a\uff0cBestDefense.io \u505a\u7684\u662f\u5c06\u6e17\u900f\u6d4b\u8bd5\u4ece\u201c\u4e13\u5bb6\u670d\u52a1\u201d\u4ea7\u54c1\u5316\u4e3a\u201cCI\/CD\u7ec4\u4ef6\u201d\uff0c\u5e76\u501fAI\u964d\u4f4e\u4e86\u4f7f\u7528\u95e8\u69db\u3002\u4f46\u771f\u6b63\u7684\u6311\u6218\u4e0d\u5728\u4e8e\u6280\u672f\u5b9e\u73b0\uff0c\u800c\u5728\u4e8e\u5982\u4f55\u8ba9\u5b89\u5168\u8d1f\u8d23\u4eba\u4fe1\u4efb\u4e00\u4e2a\u201c\u81ea\u52a8\u4fee\u4ee3\u7801\u201d\u7684\u9ed1\u76d2\u3002\u516c\u53f8\u9700\u5c3d\u5feb\u6784\u5efa\u53ef\u5ba1\u8ba1\u3001\u53ef\u56de\u6eda\u3001\u53ef\u89e3\u91ca\u7684\u5b8c\u6574\u8bc1\u636e\u94fe\uff0c\u5426\u5219\u96be\u4ee5\u8fdb\u5165\u4f01\u4e1a\u7ea7\u5e02\u573a\u3002\u76ee\u524d127\u7968\u7684\u66dd\u5149\u91cf\u504f\u4f4e\uff0c\u8bc1\u660e\u56e2\u961f\u4ecd\u9700\u5728\u5f00\u53d1\u8005\u793e\u533a\u548c\u5408\u89c4\u4e13\u4e1a\u4eba\u58eb\u4e2d\u5efa\u7acb\u66f4\u5f3a\u52bf\u7684\u6280\u672f\u4fe1\u4efb\u80cc\u4e66\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">BestDefense.io<\/span>\n <\/div>\n<div class=\"comment-content\">AI attacks don\u2019t wait for your next sprint. BestDefense continuously pentests every deploy, proves which vulnerabilities are actually exploitable, and generates fixes so high-compliance SaaS teams can patch real risks before remediation windows close. Unlike static scanners, BestDefense validates exploits through execution, cuts false positives, and helps developers move from finding issues to fixing them faster.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>BestDefense helps teams continuously test, understand, and remediate web application and infrastructure risk from one dashboard.<\/p>\n<\/p>\n<p>We built it because security is still too expensive, fragmented, and manual for many startups, SMBs, MSPs, and lean engineering teams. Most tools either scan, report, load test, or suggest fixes. BestDefense connects those steps: validate your site, run automated security and scalability tests, review clear findings, and use AI-assisted remediation to move from vulnerability to fix faster.<\/p>\n<\/p>\n<p>For Product Hunt: use code PHLAUNCH30 for 30% off your first month plus a free onboarding\/security posture review.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>27<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@derek_foster5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@derek_foster5<\/a> This looks like an incredibly robust security tool. \ud83d\udee0\ufe0f The real cost of traditional pentesting isn’t just finding the bugs\u2014it’s the massive backlog of false positives that waste developer hours. Having an AI that actively validates vulnerabilities by execution and automatically generates the patches closes the remediation loop beautifully. Huge congrats to the team!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@derek_foster5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@derek_foster5<\/a> Spend enough time on the compliance side and you learn fast that a scanner screaming about 400 “criticals” is worse than no scanner, everyone tunes it out by week two. validating through actual exploitation to cut false positives is the whole value prop. nice to see exploitability scored instead of just severity.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This feels like a product built by people who truly understand the day-to-day frustrations of both developers and security engineers. Great job!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>8<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@monir_\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@monir_<\/a> much appreciated \ud83d\udc4f <\/p>\n<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’ve been using <a href=\"http:\/\/BestDefense.io\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">BestDefense.io<\/a> for a few weeks now, and I’m impressed with how seamlessly it integrates into our CI\/CD pipeline. The automated pentest feature is a game-changer – no more tedious manual testing or waiting for human experts to review our code. The AI-driven patching process has also saved us a significant amount of time and effort.<\/p>\n<p>What I’d love to see next from the team is better integration with our existing monitoring tools, such as Prometheus and Grafana. This would allow us to get a more comprehensive view of our application’s security posture in real-time. Has anyone else had experience with this?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>8<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@demi_tan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@demi_tan<\/a> that sounds like an excellent roadmap integration! What kind of metrics would you hope to capture?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@demi_tan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@demi_tan<\/a>, we appreciate your support and feedback!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Most automated pentesting platforms completely choke on complex authentication loops, like a multi-step login with a specific oauth provider. qq to<a href=\"https:\/\/www.producthunt.com\/@derek_foster5\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"derek_foster5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@derek_foster5<\/a> can we record a login sequence flow via an extension or session token setup to let the agent past the login wall?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>8<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@priya_kushwaha1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@priya_kushwaha1<\/a> great question! <\/p>\n<\/p>\n<p>There are two authentication options which may interest you: <\/p>\n<ol>\n<li>\n<p>Puppeteer: you can write your own script, validate it works, and plug it into the test configuration<\/p>\n<\/li>\n<li>\n<p>AI Assisted: you can write in plain english the steps to perform a successful login into your application as if you were speaking to a QA person.<\/p>\n<\/li>\n<\/ol>\n<p>We provide examples in the platform that you can use as a baseline for each of those options.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>does it connect with gitlab?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>6<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@marc_vuit\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@marc_vuit<\/a> it does!<\/p>\n<\/p>\n<p>We are currently looking to double our Integrations this quarter as well<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The auth flow is where this gets real. For AI-assisted login, I\u2019d want every run to leave a receipt: test account used, scopes, destructive actions blocked, and the proof that made a finding exploitable.<\/p>\n<\/p>\n<p>Otherwise the fix is useful, but hard to trust in a compliance review.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@blah_mad\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@blah_mad<\/a> we cherish governance in this environment. You’ll always know who ran what, why, and when<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@blah_mad\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@blah_mad<\/a> That is a great mindset to have! Complete auditablility and visibility into what’s going on for complete accountability. We have all of those things layered into our audit logging; they’re also visible when you compare multiple reports across different environments (user access levels, etc). Please don’t hesitate to reach out if you have any questions.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This looks interesting. Does it matter what architecture the deployment runs on? So, for example, a web, desktop or mobile application. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@iamjoshade\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@iamjoshade<\/a> nope you can run this against anything accessible on the internet… after you prove target ownership of course!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@iamjoshade\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@iamjoshade<\/a>, that’s a GREAT question!! The platform was designed to be agnostic to the development setup or runtime environment.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The part I’d want to understand before trusting this on every deploy is the patch side. When the AI generates a fix, what stops it from quietly changing behavior or introducing a regression while it closes the hole? Is there a verification loop that re-runs the original exploit against the patched build to confirm the vuln is actually dead? That feedback loop feels like the whole ballgame.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@peterdigitalis\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@peterdigitalis<\/a> there are a few measures that we take for this. <\/p>\n<\/p>\n<ol>\n<li>\n<p>We identify traceability, no dead code updates, patches are intentionally built using the specific framework;<\/p>\n<\/li>\n<li>\n<p>You have two paths for fix confirmation; either rerun the same full test against the same target, or ‘replay’ a verified exploit individually without running a full spectrum test. Security regression testing. <\/p>\n<\/li>\n<li>\n<p>Leverage our guardrail mechanism to prevent risky changes to critical parts of the code base<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@peterdigitalis\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@peterdigitalis<\/a>, that’s a great question!<\/p>\n<p>It’s up to you how you want to set up the verification phases, but when it implements the fix, it takes a scalpel approach. (Smallest possible change to fix the problem). This leads to changes being more atomic commits and easier to digest if you choose to have a human do a formal review after your existing smoke and regression tests pass.<\/p>\n<p>After the fix has been merged into a deployed environment or applied to a local Docker environment, you can rerun the exploits to verify closure. <\/p>\n<p>The system was built to be a seamless addition to your existing CI\/CD pipeline or SDLC process.<\/p>\n<p>Please feel free to check out our Free trial of the system. We would love to hear any feedback on ways we can improve our solution.<\/p>\n<p>To infinity & beyond!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#15<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/JZW57ZFLJNYBTC\" class=\"app-title\">wildbirds<\/a><\/p>\n<div class=\"one-liner\">Birdwatchers app to share and discover birds socially<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">107<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Wildbirds\u662f\u4e00\u6b3e\u4e13\u4e3a\u9e1f\u7c7b\u7231\u597d\u8005\u8bbe\u8ba1\u7684\u793e\u4ea4\u5316\u89c2\u9e1fAPP\uff0c\u96c6\u9e1f\u7c7b\u8bc6\u522b\u3001\u4e2a\u4eba\u751f\u547d\u6e05\u5355\u8bb0\u5f55\u4e0e\u793e\u533a\u5206\u4eab\u4e8e\u4e00\u4f53\uff0c\u5e2e\u52a9\u7528\u6237\u5728\u5145\u6ee1\u653f\u6cbb\u8d1f\u9762\u4fe1\u606f\u7684\u793e\u4ea4\u73af\u5883\u4e2d\uff0c\u627e\u5230\u4e00\u4e2a\u4e13\u6ce8\u3001\u79ef\u6781\u4e14\u8fde\u63a5\u540c\u597d\u7684\u7eaf\u51c0\u9e1f\u7c7b\u4ea4\u6d41\u5e73\u53f0\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/8c1b3026-7db8-48d2-9f6d-cf3b2ff9c64a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/40f97601-b55b-4a1e-a7ae-3de2dc0d106c.jpeg?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/ccc51fcd-4661-4447-a3e8-e1d4de3e0124.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/10225fd7-8431-447c-a195-f434f673c014.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/bfdd8f6c-9885-4361-8432-46a86fd6ce04.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/4b12a0e2-6fd3-4ae1-963d-ca1956abfd71.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/7867fd72-dd09-48e1-9b0f-5d5ded7f4f46.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Social Media<\/span><br \/>\n <span class=\"tag\">Photography<\/span><br \/>\n <span class=\"tag\">Nature & Outdoors<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u89c2\u9e1f\u793e\u4ea4<\/span><br \/>\n <span class=\"tag\">\u9e1f\u7c7b\u8bc6\u522b<\/span><br \/>\n <span class=\"tag\">\u751f\u547d\u6e05\u5355<\/span><br \/>\n <span class=\"tag\">\u81ea\u7136\u793e\u533a<\/span><br \/>\n <span class=\"tag\">\u6444\u5f71\u5206\u4eab<\/span><br \/>\n <span class=\"tag\">\u5185\u5bb9\u53d1\u73b0<\/span><br \/>\n <span class=\"tag\">\u6b63\u5ff5\u7597\u6108<\/span><br \/>\n <span class=\"tag\">\u8de8\u5e73\u53f0\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u9e1f\u7c7b\u7231\u597d\u8005<\/span><br \/>\n <span class=\"tag\">\u4ea7\u54c1\u730e\u4eba<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u666e\u904d\u8d5e\u8d4f\u4ea7\u54c1\u7406\u5ff5\uff0c\u8ba4\u4e3a\u5176\u662fAI\u6cdb\u6ee5\u4e2d\u7684\u4e00\u80a1\u6e05\u6d41\u3002\u4e3b\u8981\u5efa\u8bae\uff1a\u6709\u7528\u6237\u5e0c\u671b\u9996\u9875\u80fd\u9884\u89c8\u66f4\u591a\u529f\u80fd\uff08\u5c24\u5176\u662f\u201c\u751f\u547d\u6e05\u5355\u201d\uff09\uff0c\u964d\u4f4e\u6ce8\u518c\u95e8\u69db\u3002\u5f00\u53d1\u8005\u5df2\u56de\u5e94\u5e76\u63d0\u4f9b\u4e86\u516c\u5f00\u9875\u9762\u793a\u4f8b\u3002\u53e6\u6709\u7528\u6237\u8be2\u95ee\u5982\u4f55\u901a\u8fc7TikTok\/Instagram\u589e\u957f\u7528\u6237\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Wildbirds\u5207\u5165\u7684\u662f\u4e00\u4e2a\u770b\u4f3c\u5c0f\u4f17\u4f46\u7c98\u6027\u6781\u5f3a\u7684\u5782\u76f4\u9886\u57df\u2014\u2014\u89c2\u9e1f\u7231\u597d\u8005\u3002\u5728AI\u5de5\u5177\u6cdb\u6ee5\u3001\u793e\u4ea4\u5e73\u53f0\u5145\u65a5\u653f\u6cbb\u566a\u97f3\u7684\u5f53\u4e0b\uff0c\u8be5\u4ea7\u54c1\u7cbe\u51c6\u6293\u4f4f\u4e86\u201c\u6b63\u5411\u9003\u79bb\u201d\u4e0e\u201c\u793e\u533a\u5f52\u5c5e\u201d\u7684\u53cc\u91cd\u5fc3\u7406\u9700\u6c42\u3002\u5176\u6838\u5fc3\u4ef7\u503c\u5e76\u4e0d\u5728\u201c\u9e1f\u7c7b\u8bc6\u522b\u201d\u8fd9\u4e00\u6210\u719f\u529f\u80fd\uff0c\u800c\u5728\u4e8e\u5c06\u5206\u6563\u7684\u8bba\u575b\u3001\u6444\u5f71\u793e\u7fa4\u3001\u535a\u5ba2\u8d44\u6e90\u6574\u5408\u8fdb\u4e00\u5957\u4f18\u96c5\u7684\u201c\u751f\u547d\u6e05\u5355\u201d\u793e\u4ea4\u4f53\u7cfb\uff0c\u5e76\u4e14\u5728\u5185\u5bb9\u5206\u53d1\u4e0a\u4e3b\u52a8\u94fe\u63a5\u539f\u59cb\u51fa\u5904\uff0c\u5c0a\u91cd\u521b\u4f5c\u8005\u7248\u6743\u2014\u2014\u8fd9\u5728\u5f53\u4e0b\u7684\u5185\u5bb9\u751f\u6001\u4e2d\u662f\u4e00\u79cd\u7f55\u89c1\u7684\u826f\u6027\u7b56\u7565\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u771f\u6b63\u7684\u6311\u6218\u5728\u4e8e\u51b7\u542f\u52a8\u548c\u7528\u6237\u7559\u5b58\u3002107\u7968\u7684Product Hunt\u70ed\u5ea6\u4e0d\u8db3\u4ee5\u652f\u6491\u793e\u533a\u81ea\u751f\u957f\uff0c\u8bc4\u8bba\u4e2d\u5bf9\u589e\u957f\u7b56\u7565\u7684\u8ffd\u95ee\u76f4\u51fb\u8981\u5bb3\uff1a\u6ca1\u6709\u8db3\u591f\u591a\u7684\u9ad8\u8d28\u91cf\u9e1f\u7c7b\u7167\u7247\u548c\u5f53\u5730\u65b0\u624b\u4efb\u52a1\uff0c\u7528\u6237\u6ce8\u518c\u540e\u5f88\u5feb\u4f1a\u56e0\u7f3a\u4e4f\u4e92\u52a8\u800c\u6d41\u5931\u3002\u76ee\u524d\u201c\u53d1\u73b0\u201d\u529f\u80fd\u4ee5\u6587\u7ae0\u3001\u64ad\u5ba2\u7b49\u5916\u90e8\u8d44\u6e90\u4e3a\u4e3b\uff0c\u672c\u8d28\u662f\u5355\u5411\u5185\u5bb9\u5206\u53d1\uff0c\u7f3a\u4e4f\u4fc3\u4f7f\u7528\u6237\u4ea7\u51fa\u65b0\u89c2\u5bdf\u3001\u5f15\u53d1\u8ba8\u8bba\u7684\u793e\u4ea4\u94a9\u5b50\u3002\u6b64\u5916\uff0c\u4ea7\u54c1\u5b9a\u4f4d\u504f\u5411\u201c\u81ea\u7136\u7597\u6108\u201d\uff0c\u4f46\u82e5\u7f3a\u4e4f\u4e25\u8c28\u7684\u89c2\u9e1f\u6570\u636e\u548c\u6743\u5a01\u56fe\u9274\u80cc\u4e66\uff0c\u4e25\u8083\u7684\u9e1f\u7c7b\u7231\u597d\u8005\u53ef\u80fd\u4f1a\u4f18\u5148\u9009\u62e9eBird\u6216Merlin Bird ID\u7b49\u4e13\u4e1a\u5de5\u5177\u3002Wildbirds\u9700\u8981\u5728\u201c\u8f7b\u793e\u4ea4\u201d\u4e0e\u201c\u4e13\u4e1a\u6027\u201d\u4e4b\u95f4\u627e\u5230\u4e0d\u53ef\u66ff\u4ee3\u7684\u652f\u70b9\uff0c\u5426\u5219\u5bb9\u6613\u6ca6\u4e3a\u53c8\u4e00\u4e2a\u6f02\u4eae\u7684\u6570\u5b57\u526a\u8d34\u7c3f\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">wildbirds<\/span>\n <\/div>\n<div class=\"comment-content\">Wildbirds is an app for the ones who always look up. A place where lifers get celebrated. For bird lovers by bird lovers. A kind, inclusive birding platform for everyone to share their bird photos and keep track of their life list. Our new Discovery feature to will help you discover new people to follow through articles, podcasts, documentaries and other curated birding resources. Available on iPhone, iPad, Android, Web, and Mac.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hello Product Hunt!! \ud83d\udc4b\ud83c\udffc<\/p>\n<\/p>\n<p>During my mental health journey, I rediscovered the joy of bird watching, bird photography – pretty much anything bird related. I joined communities and it seemed like they were all over the place. Then, I had to remember to login to all of those places and keep up. I wanted to try to bring as much of that together as possible. <\/p>\n<p>Politics definitely played a role in developing this idea out. I was tired of seeing the negative stuff in my feed when i’m trying really hard to focus on the positive. You just can’t escape it these days. <\/p>\n<p>As for the app, it’s very much community first focused, but it will help you identify birds and keep them in a very beautiful life list. The Discovery feature just launched this past weekend, but I’ve always been a fan of discovery in apps like Spotify and i’ve found some great artists that way. We’ll be curating articles, podcasts, documentaries and other birding resources. The best part? We’re linking directly back to the publication to encourage authors\/creators to own their own content.<\/p>\n<p>We’re fresh out of Android beta and I still consider this day one. I hope you enjoy it and let me know if you have any issues.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>5<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@oldbirddude\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@oldbirddude<\/a> <em>Congrats on the launch Landon! On of my best mates is heavy into bird photography so I’ll pass your app onto him. Curious how you’re planning to grow the user base on TikTok\/Instagram?”<\/em><\/p>\n<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@oldbirddude\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@oldbirddude<\/a> I absolutely love birds!!! Such a breath of fresh air among all the AI apps helping other AI apps do more AI things \ud83d\ude04 Congratulations on the launch \u2014 let\u2019s be friends \ud83d\ude42<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@oldbirddude\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@oldbirddude<\/a> Such a great concept, Landon! Will definitely take a look. My grandmother used to have 4 windows that faced out to the bird feeder and could ID all their calls by ear alone. Look forward to taking a look and congrats on the launch!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/products\/wildbirds\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"wildbirds\" target=\"_blank\" rel=\"noopener\">@wildbirds<\/a> any chance to get some more preview on the homepage? I was especially interested in the “Your life list”. Homepage is interactive and beautiful, but for me it would need to show more before I actually sing up. Gotta catch them all!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@daniellebe\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniellebe<\/a> Yes, absolutely. I should probably update that now that we have web fully functional.<\/p>\n<p>Here’s my list <a href=\"https:\/\/wildbirds.io\/@oldbirdvibes\/birds\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/wildbirds.io\/@oldbirdvibes\/birds<\/a> <\/p>\n<\/p>\n<p>You can also see my profile since it’s public – <a href=\"https:\/\/wildbirds.io\/@oldbirdvibes\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/wildbirds.io\/@oldbirdvibes<\/a><\/p>\n<p>Let me know if you have any other questions. Hope to see you there, Daniel! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#16<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/NSI466FJIDPTUT\" class=\"app-title\">prepros<\/a><\/p>\n<div class=\"one-liner\">Run your brand shoots from start to finish<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">104<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Prepros \u4e3a\u54c1\u724c\u62cd\u6444\u56e2\u961f\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4ece\u521b\u610f\u7b56\u5212\u5230\u62cd\u6444\u6267\u884c\u7684\u5168\u6d41\u7a0b\u534f\u4f5c\u7a7a\u95f4\uff0c\u5f7b\u5e95\u89e3\u51b3\u8fc7\u53bb\u4f9d\u8d56\u6587\u6863\u3001\u7ebf\u7a0b\u548c\u6587\u4ef6\u5939\u62fc\u51d1\u7ba1\u7406\u5e26\u6765\u7684\u6df7\u4e71\u4e0e\u4f4e\u6548\u95ee\u9898\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/07f41acd-dbec-4d24-9cd5-8a103f6c7e4f.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/a189531c-5cf1-44a9-868b-8734d592c312.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/dd8d7b0a-0df8-499d-9ab6-2a207f4513a7.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/8f475515-80a3-4a2b-b743-ae062efad287.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/754f4119-0ab6-499a-9d48-c19623b7880e.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/c4bfbaf3-ff9f-46e0-9888-6d9a7aae041a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/43c08869-ac3a-4935-a1a2-2e7f2a04ba43.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/b983f52e-28d8-449b-b838-34c6056fd0a7.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f5636a7d-a780-439a-923c-7b43253ebb6d.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/31dc8818-fb45-45fe-9e38-d214329d60cb.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Design Tools<\/span><br \/>\n <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">SaaS<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u54c1\u724c\u62cd\u6444\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u521b\u610f\u5236\u4f5c\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u62cd\u6444\u5de5\u4f5c\u6d41<\/span><br \/>\n <span class=\"tag\">\u56e2\u961f\u534f\u4f5c<\/span><br \/>\n <span class=\"tag\">\u60c5\u7eea\u677f<\/span><br \/>\n <span class=\"tag\">\u62cd\u6444\u6e05\u5355<\/span><br \/>\n <span class=\"tag\">\u901a\u544a\u5355<\/span><br \/>\n <span class=\"tag\">\u9884\u7b97\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u5236\u7247\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">SaaS<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u8ba4\u53ef\u5176\u89e3\u51b3\u4e86\u62cd\u6444\u7ba1\u7406\u5de5\u5177\u5206\u6563\u7684\u75db\u70b9\uff0c\u5e76\u5c31\u5b9e\u65f6\u534f\u4f5c\u548c\u73b0\u573a\u5e94\u53d8\u63d0\u51fa\u5177\u4f53\u95ee\u9898\u3002\u521b\u59cb\u4eba\u56de\u5e94\u4e86\u591a\u4eba\u7f16\u8f91\u65f6\u6570\u636e\u540c\u6b65\u7684\u673a\u5236\uff0c\u5e76\u6f14\u793a\u4e86\u5f53\u62cd\u6444\u6e05\u5355\u4e34\u65f6\u53d8\u66f4\u65f6\uff0c\u7cfb\u7edf\u80fd\u81ea\u52a8\u540c\u6b65\u81f3\u901a\u544a\u5355\u548c\u65e5\u7a0b\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Prepros \u5207\u5165\u4e86\u4e00\u4e2a\u6781\u5ea6\u201c\u5782\u76f4\u201d\u4e14\u201c\u9ad8\u9891\u9635\u75db\u201d\u7684\u7ec6\u5206\u573a\u666f\uff1a\u54c1\u724c\u62cd\u6444\u7684\u5236\u7247\u7ba1\u7406\u3002\u521b\u59cb\u4eba Victoria \u4f5c\u4e3a\u8d44\u6df1\u4ece\u4e1a\u8005\uff0c\u4ea7\u54c1\u55c5\u89c9\u6781\u5176\u7cbe\u51c6\u2014\u2014\u5979\u770b\u5230\u4e86\u4e00\u4e2a\u88ab\u901a\u7528\u5de5\u5177\uff08Notion\u3001Google Sheets\u3001Dropbox\uff09\u548c\u5b9a\u5236\u5316\u6d41\u7a0b\u586b\u6ee1\u7684\u788e\u7247\u5316\u7070\u8272\u5730\u5e26\u3002\u8fd9\u5e76\u975e\u4e00\u4e2a\u7b80\u5355\u7684\u9879\u76ee\u7ba1\u7406\u8f6f\u4ef6\u5e73\u66ff\uff0c\u800c\u662f\u4e00\u4e2a\u9488\u5bf9\u201c\u89c6\u89c9\u53d9\u4e8b\u751f\u4ea7\u94fe\u201d\u7684\u4e13\u7528\u64cd\u4f5c\u7cfb\u7edf\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5176\u771f\u6b63\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u529f\u80fd\u5806\u780c\uff08\u60c5\u7eea\u677f\u3001\u901a\u544a\u5355\u8fd9\u4e9b\u90fd\u6709\u66ff\u4ee3\u54c1\uff09\uff0c\u800c\u5728\u4e8e\u201c\u6d41\u7a0b\u7684\u5f3a\u5236\u6807\u51c6\u5316\u201d\u3002\u5728\u8fc7\u53bb\uff0c\u6bcf\u4e2a\u56e2\u961f\u3001\u751a\u81f3\u6bcf\u6b21\u62cd\u6444\u90fd\u5728\u201c\u91cd\u65b0\u53d1\u660e\u8f6e\u5b50\u201d\uff0c\u9690\u6027\u6210\u672c\u6781\u9ad8\u3002Prepros \u5c06\u65e0\u5f62\u3001\u65e0\u5e8f\u7684\u201c\u5236\u7247\u6d41\u7a0b\u201d\u56fa\u5316\u4e3a\u6709\u5f62\u3001\u53ef\u590d\u7528\u7684\u201c\u4ea7\u54c1\u201d\uff0c\u8fd9\u672c\u8eab\u5c31\u521b\u9020\u4e86\u4e00\u79cd\u65b0\u7684\u5de5\u4f5c\u8bed\u8a00\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ece\u6280\u672f\u89d2\u5ea6\u770b\uff0c\u7528\u6237\u5bf9\u5b9e\u65f6\u534f\u4f5c\u548c\u73b0\u573a\u5e94\u53d8\u7684\u62f7\u95ee\u89e6\u53ca\u4e86\u6b64\u7c7b\u5de5\u5177\u7684\u7075\u9b42\u3002\u5982\u679c Prepros \u4e0d\u80fd\u5728\u201c\u8ba1\u5212\u201d\u548c\u201c\u5e94\u53d8\u201d\u4e4b\u95f4\u5efa\u7acb\u65e0\u7f1d\u7684\u5b9e\u65f6\u6570\u636e\u6d41\u8f6c\uff08\u5982\u521b\u59cb\u4eba\u6f14\u793a\u7684 shotlist \u53d8\u66f4\u81ea\u52a8\u5237\u65b0 callsheet\uff09\uff0c\u5b83\u5c31\u4f1a\u6ca6\u4e3a\u53e6\u4e00\u4e2a\u6f02\u4eae\u7684\u201c\u6570\u5b57\u5c55\u793a\u677f\u201d\u3002\u6b64\u5916\uff0c\u8be5\u4ea7\u54c1\u7684\u62a4\u57ce\u6cb3\u5728\u4e8e\u80fd\u5426\u5f62\u6210\u7f51\u7edc\u6548\u5e94\uff1a\u5f53\u6444\u5f71\u5e08\u3001\u9020\u578b\u5e08\u3001\u5bfc\u6f14\u7b49\u81ea\u7531\u804c\u4e1a\u8005\u88ab\u5ba2\u6237\u8981\u6c42\u7edf\u4e00\u4f7f\u7528 Prepros \u65f6\uff0c\u5176\u7c98\u6027\u5c06\u5448\u6307\u6570\u7ea7\u4e0a\u5347\u3002\u5bf9\u4e8e104\u7968\u7684\u9996\u53d1\u6210\u7ee9\uff0c\u8fd9\u66f4\u50cf\u4e00\u4e2a\u9a8c\u8bc1PMF\uff08\u4ea7\u54c1-\u5e02\u573a\u5339\u914d\uff09\u7684\u8d77\u70b9\uff0c\u800c\u975e\u7ec8\u70b9\u3002\u4e0b\u4e00\u6b65\u7684\u5173\u952e\u662f\u770b\u5b83\u5982\u4f55\u4ece\u201c\u5de5\u5177\u201d\u8fdb\u5316\u4e3a\u54c1\u724c\u62cd\u6444\u9886\u57df\u7684\u201c\u884c\u4e1a\u6807\u51c6\u201d\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">prepros<\/span>\n <\/div>\n<div class=\"comment-content\">Brand shoot production has never had a single tool or standard process. Every team builds their own version from scratch, cobbling together docs, threads, and folders just to set up the scaffolding. prepros is one focused workspace for moodboards, shotlists, callsheets, crew, budgets, and shoot day tracking. Built by someone who spent a decade running shoots wishing it existed. Whether you’re running your fiftieth shoot or your first, the planning should feel as considered as the work itself.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hi Product Hunt! I’m Victoria, founder of prepros.<\/p>\n<p>After a decade as a Senior Graphic Designer and Art Director at lululemon, Aritzia, and a DTC home goods start-up, I was on hundreds of sets and planned countless shoots. What I could never wrap my head around was the lack of structure around production planning. No single tool, no standard process. Every team built their own version from scratch.<\/p>\n<p>So we built prepros. A focused workspace for creative teams running shoots. Moodboards, shot lists, call sheets, crew coordination, budget, and shoot day tracking, all in one place.<\/p>\n<p>Would love to hear your thoughts, answer any questions, and connect with anyone who’s ever felt the pain of managing a shoot across a dozen different tools.<\/p>\n<p>Thank you for the support. It means everything on launch day.<br \/>Victoria<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@victoria_hall1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@victoria_hall1<\/a> Hi Victoria, huge congrats on the launch! I\u2019ve seen teams struggle with scattered files and messy spreadsheets for production planning, so this is a super solid problem to solve.<\/p>\n<p>As an SQA Engineer, I\u2019m really curious about the ‘under the hood’ experience\u2014specifically, how you\u2019re handling real-time collaboration. Like, if two people are editing the same shot list at the same time, does the system handle it smoothly without overwriting data?<\/p>\n<p>Really impressive work! Looking forward to seeing where you take this.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@victoria_hall1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@victoria_hall1<\/a> Love this concept! \ud83c\udf89 Cobbling together scattered docs and folders just to get a shoot off the ground is a massive creative drain. A dedicated tool that handles everything from moodboards to callsheets in one place is a dream for production crews. Massive congrats on shipping this!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Looks solid. How’s it handle shoot day chaos when the brief changes last minute?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@dhiraj_patel5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dhiraj_patel5<\/a> Last-minute changes happen all the time! Since your shotlist is connected to your shoot day timeline and callsheet, you can add or remove shots and those changes flow through automatically. Your shared call sheet is updated automatically so your team can keep shooting.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#17<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/WG2FDIRSMKGHGR\" class=\"app-title\">NeuralAgent 3.0<\/a><\/p>\n<div class=\"one-liner\">AI that executes UI actions on your computer in ~285ms<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">101<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>NeuralAgent 3.0 \u662f\u4e00\u6b3e\u80fd\u5728\u7ea6285\u6beb\u79d2\u5185\u81ea\u4e3b\u6267\u884c\u5c4f\u5e55\u70b9\u51fb\u3001\u952e\u76d8\u8f93\u5165\u7b49UI\u64cd\u4f5c\u7684AI\u4ee3\u7406\uff0c\u89e3\u51b3\u4e86\u4f20\u7edf\u8ba1\u7b97\u673a\u81ea\u52a8\u5316\u5de5\u5177\u901f\u5ea6\u6162\u3001\u65e0\u6cd5\u9002\u5e94\u754c\u9762\u53d8\u5316\u3001\u96be\u4ee5\u878d\u5165\u5b9e\u9645\u5de5\u4f5c\u6d41\u7684\u75db\u70b9\uff0c\u8ba9\u7528\u6237\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u5373\u53ef\u5b8c\u6210\u684c\u9762\u548c\u6d4f\u89c8\u5668\u7aef\u7684\u590d\u6742\u4efb\u52a1\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/d0f305f6-1337-4e65-aa9e-fcc039316f7f.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/181077fb-7f54-4ec9-b09a-17b0a34b9650.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/8047c5de-69eb-4691-9694-f1712fb59a12.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/7ad80461-6aa6-46e7-979d-3263749e322e.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/05bbaf6f-2864-4e6d-b39b-3bc2e7f37db0.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/286f3dae-dff7-4af1-b941-4b986c408238.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/ff0d1794-b08c-44d8-a357-5f568e3d351a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/02f6a421-7b43-4661-be51-756f47472647.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=00ilHctJEvg\"><source src=\"https:\/\/www.youtube.com\/watch?v=00ilHctJEvg\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Tech<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u81ea\u52a8\u5316\u4ee3\u7406<\/span><br \/>\n <span class=\"tag\">\u8ba1\u7b97\u673a\u4f7f\u7528\u6a21\u578b<\/span><br \/>\n <span class=\"tag\">UI\u64cd\u4f5c<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u8def\u7531<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6d41\u56de\u653e<\/span><br \/>\n <span class=\"tag\">\u5c4f\u5e55\u8bc6\u522b<\/span><br \/>\n <span class=\"tag\">\u4f4e\u5ef6\u8fdf\u6267\u884c<\/span><br \/>\n <span class=\"tag\">\u684c\u9762\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1a\u7ea7RPA\u66ff\u4ee3<\/span><br \/>\n <span class=\"tag\">\u591a\u6a21\u578b\u534f\u540c<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u666e\u904d\u8ba4\u53ef285ms\u6267\u884c\u901f\u5ea6\u7684\u7a81\u7834\u6027\uff0c\u4f46\u8ffd\u95ee\u8be5\u5ef6\u8fdf\u662f\u5426\u7aef\u5230\u7aef\uff08\u4ece\u610f\u56fe\u5230\u70b9\u51fb\uff09\u4ee5\u53ca\u6d4b\u8bd5\u73af\u5883\u3002\u591a\u4eba\u5173\u5fc3\u6545\u969c\u6062\u590d\u65f6\u91cd\u65b0\u89c4\u5212\u7684\u5ef6\u8fdf\u6210\u672c\uff0c\u4ee5\u53ca\u56de\u653e\u529f\u80fd\u5728\u754c\u9762\u672a\u53d8\u5316\u65f6\u4e0e\u5b8f\u7684\u5ef6\u8fdf\u5bf9\u6bd4\u3002\u53e6\u6709\u7528\u6237\u8be2\u95ee\u662f\u5426\u53ef\u4e0eClaude\u7b49\u6a21\u578b\u7ed3\u5408\uff0c\u4ee5\u53ca\u5bf9\u539f\u751f\u5e94\u7528\u9002\u914d\u548c\u5f00\u6e90\u7b56\u7565\u7684\u5173\u6ce8\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n NeuralAgent 3.0\u7684\u6838\u5fc3\u4ef7\u503c\u4e0d\u5728\u4e8e\u201c\u53c8\u4e00\u4e2aAI\u81ea\u52a8\u5316\u5de5\u5177\u201d\uff0c\u800c\u5728\u4e8e\u5b83\u901a\u8fc7\u201c\u5feb\u6a21\u578b+\u63a8\u7406\u6a21\u578b\u201d\u7684\u5206\u5c42\u67b6\u6784\uff0c\u7cbe\u51c6\u51fb\u7a7f\u4e86\u540c\u7c7b\u4ea7\u54c1\u201c\u770b\u5f97\u61c2\u4f46\u52a8\u5f97\u6162\u201d\u7684\u8f6f\u808b\u3002285ms\u7684UI\u52a8\u4f5c\u6267\u884c\u901f\u5ea6\uff0c\u5982\u679c\u771f\u80fd\u5b9e\u73b0\u7aef\u5230\u7aef\u7684\u4f4e\u5ef6\u8fdf\uff0c\u5c06\u4f7fAI\u4ee3\u7406\u4ece\u201c\u6f14\u793a\u73a9\u5177\u201d\u8dc3\u8fc1\u4e3a\u53ef\u4f9d\u8d56\u7684\u201c\u751f\u4ea7\u529b\u5de5\u5177\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u4ea7\u54c1\u771f\u6b63\u7684\u62a4\u57ce\u6cb3\u5e76\u975e\u901f\u5ea6\u672c\u8eab\uff0c\u800c\u662f\u201cFast Model Replays\u201d\u7684\u8bbe\u8ba1\u54f2\u5b66\u3002\u5b83\u629b\u5f03\u4e86\u4f20\u7edfRPA\u7684\u5750\u6807\u811a\u672c\uff0c\u8ba9\u6bcf\u4e2a\u56de\u653e\u52a8\u4f5c\u90fd\u57fa\u4e8e\u5b9e\u65f6\u89c6\u89c9\u5206\u6790\u91cd\u65b0\u951a\u5b9a\uff0c\u8fd9\u6070\u597d\u89e3\u51b3\u4e86\u81ea\u52a8\u5316\u5de5\u5177\u6700\u5927\u7684\u75db\u70b9\u2014\u2014\u73af\u5883\u53d8\u5316\u5373\u5d29\u6e83\u3002\u8fd9\u79cd\u201c\u975e\u7ebf\u6027\u56de\u653e\u201d\u65e2\u4fdd\u7559\u4e86\u5b8f\u7684\u901f\u5ea6\u611f\uff0c\u53c8\u8d4b\u4e88\u4e86\u667a\u80fd\u9002\u5e94\u80fd\u529b\uff0c\u662f\u5f53\u524d\u667a\u80fd\u4f53\u9886\u57df\u5c11\u6709\u7684\u52a1\u5b9e\u521b\u65b0\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u4ea7\u54c1\u4ecd\u9762\u4e34\u51e0\u4e2a\u786c\u9aa8\u5934\uff1a\u9996\u5148\uff0c\u8bc4\u8bba\u4e2d\u53cd\u590d\u51fa\u73b0\u7684\u201c\u7aef\u5230\u7aef\u5ef6\u8fdf\u201d\u8d28\u7591\u5c1a\u672a\u88ab\u5b8c\u5168\u6f84\u6e05\uff0c\u5982\u679c285ms\u53ea\u662f\u6a21\u578b\u63a8\u7406\u65f6\u95f4\u800c\u975e\u5305\u542b\u5c4f\u5e55\u622a\u56fe\u3001\u52a8\u4f5c\u7f16\u6392\u7684\u5b8c\u6574\u95ed\u73af\uff0c\u90a3\u8fd9\u4e2a\u6570\u5b57\u7684\u542b\u91d1\u91cf\u5c06\u5927\u6253\u6298\u6263\u3002\u5176\u6b21\uff0c\u201c\u6545\u969c\u6062\u590d\u5ef6\u8fdf\u201d\u548c\u201c\u754c\u9762\u53d8\u5316\u65f6\u5982\u4f55\u907f\u514d\u9759\u9ed8\u9519\u8bef\u201d\u662f\u4ea7\u54c1\u4ece\u70ab\u6280\u8d70\u5411\u53ef\u9760\u7684\u5fc5\u7ecf\u5173\u5361\u2014\u2014\u7528\u6237\u4e0d\u9700\u8981\u4e00\u4e2a\u201c\u51fa\u9519\u65f6\u5f88\u806a\u660e\u4f46\u7ecf\u5e38\u5077\u5077\u72af\u9519\u201d\u7684\u52a9\u624b\u3002\u6700\u540e\uff0c\u80fd\u5426\u4e0eClaude\u3001Codex\u7b49\u901a\u7528\u524d\u6cbf\u6a21\u578b\u534f\u540c\uff0c\u5c06\u51b3\u5b9a\u5176\u751f\u6001\u91ce\u5fc3\u7684\u5927\u5c0f\uff1a\u662f\u505a\u4e00\u4e2a\u5c01\u95ed\u7684\u81ea\u52a8\u5316\u5b64\u5c9b\uff0c\u8fd8\u662f\u6210\u4e3a\u4efb\u610fAI\u4ee3\u7406\u7684\u201c\u6267\u884c\u5c42\u201d\u57fa\u7840\u8bbe\u65bd\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u4f53\u800c\u8a00\uff0cNeuralAgent 3.0\u5728\u201c\u8ba9AI\u771f\u6b63\u5e72\u6d3b\u201d\u8fd9\u6761\u8def\u4e0a\u8fc8\u51fa\u4e86\u8d28\u53d8\u7684\u4e00\u6b65\u3002\u5b83\u6ca1\u6709\u91cd\u590d\u9020\u8f6e\u5b50\u505a\u53e6\u4e00\u4e2a\u6162\u541e\u541e\u7684\u601d\u8003\u578bAgent\uff0c\u800c\u662f\u7cbe\u51c6\u805a\u7126\u5728\u201c\u6267\u884c\u201d\u8fd9\u4e2a\u6700\u673a\u68b0\u3001\u6700\u9700\u8981\u901f\u5ea6\u7684\u73af\u8282\u3002\u5982\u679c\u540e\u7eed\u80fd\u900f\u660e\u5316\u7aef\u5230\u7aef\u6d4b\u8bd5\u6570\u636e\u3001\u5f3a\u5316\u9519\u8bef\u53ef\u89c1\u6027\u548c\u6062\u590d\u53ef\u63a7\u6027\uff0c\u5b83\u5f88\u53ef\u80fd\u6210\u4e3a\u91cd\u5851RPA\u548c\u684c\u9762\u81ea\u52a8\u5316\u5e02\u573a\u7684\u5173\u952e\u53d8\u91cf\u3002\u81f3\u5c11\uff0c\u5b83\u8ba9\u201cAI\u66ff\u4f60\u64cd\u4f5c\u7535\u8111\u201d\u8fd9\u4ef6\u4e8b\u7b2c\u4e00\u6b21\u770b\u8d77\u6765\u4e0d\u90a3\u4e48\u50cf\u662f\u6162\u52a8\u4f5c\u50ac\u7720\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">NeuralAgent 3.0<\/span>\n <\/div>\n<div class=\"comment-content\">New in 3.0: our Lightning-Fast computer-use model. NeuralAgent sees your screen and controls your computer to get real work done, now powered by our Fast model that executes UI actions in ~285ms, alongside Fast Model Replays (save a task, re-run it in seconds) and Smart Model Routing. It plans, executes at high speed, and supervises itself for recovery. Desktop + browser. Windows + macOS. The fast model got even faster since we recorded the launch video, check out the comment below.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey Product Hunt \ud83d\udc4b Khaled here, founder of NeuralAgent.<\/p>\n<\/p>\n<p>NeuralAgent is an AI that actually uses your computer, it sees your screen and controls the mouse and keyboard to get real work done across desktop and browser apps.<\/p>\n<\/p>\n<p>What’s new in 3.0: this is the release where NeuralAgent gets fast. Our previous versions were about being able to use your computer, 3.0 is about doing it at lightning speed, powered by our new purpose-built Fast model.<\/p>\n<\/p>\n<p>We built the Fast model for one job: executing UI actions, clicks, typing, navigation, at ~285ms each. It’s paired with a reasoning model that plans and supervises, so the Fast model flies through routine work while staying smart enough to recover when something goes wrong.<\/p>\n<\/p>\n<p>\u26a1 Quick update: it’s gotten <em>even <\/em>faster since the launch video above was recorded! Here’s a more recent one, NeuralAgent sending a WhatsApp message in real time. Keep an eye on the cursor, that’s the Fast model executing at full speed. In the normal flow, it plans the task once and lets the Fast model fly through the execution, only re-planning when something goes wrong and the supervisor steps in to recover.<\/p>\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=imFEuXv7meM\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.youtube.com\/watch?v=imFEuXv7meM<\/a><\/p>\n<\/p>\n<p>Computer-use agents have been useful but slow, you sit there watching them think, click, and wait. We wanted it to feel instant.<\/p>\n<\/p>\n<p>Also new in 3.0: Fast Model Replays, do a task once, save it, and re-run the whole thing in seconds by text, voice, or a chat mention. Important part: a Replay is not a recorded macro. It doesn’t fire saved coordinates like RPA, on every run, the Fast model re-analyzes the live screen and grounds each action fresh, so it adapts when the interface changes instead of breaking like a brittle script. You get the lightning-speed of a saved workflow with the resilience of a model that actually sees what it’s doing and a supervisor that makes sure that the task was executed. And Smart Model Routing sends each step to the right model, so even long multi-step tasks stay fast.<\/p>\n<\/p>\n<p>And this sits on top of everything NeuralAgent already does, Watch & Learn to turn the way you work into reusable workflows, a library of Skills (Google, Excel, PowerPoint, PDF, coding, research), scheduled workflows, and Enterprise cloud computers for running UI work at scale.<\/p>\n<\/p>\n<p>A bit of context: NeuralAgent is used by tens of thousands of people around the world, and we’re genuinely excited to launch this today.<\/p>\n<\/p>\n<p>The demo above is real-time. I’d love your feedback, and I’ll be here all day answering everything \ud83d\ude80<\/p>\n<\/p>\n<p>For more Fast model demos:<br \/><a href=\"https:\/\/www.youtube.com\/channel\/UCXGEZyKZZMZzOkTAA_r5TVA\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.youtube.com\/channel\/UCXGEZyKZZMZzOkTAA_r5TVA<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Because screenshot \u2192 model \u2192 action chaining causes most agent stacks I’ve attempted to sit closer to multi-second loops, ~285ms for UI action execution is a meaningful benchmark if it’s end-to-end from intent to click. What is the usual action granularity (single click vs. multi-step procedure) and is that figure based on local inference? I’d also like to know how you handle partial failures when a native app doesn’t expose standard accessibility trees or when the DOM changes. Is the action layer proprietary or is it open-sourced?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>~285ms for UI action execution is a meaningful benchmark if it’s end-to-end from intent to click \u2014 most agent stacks I’ve tried sit closer to multi-second loops because of screenshot \u2192 model \u2192 action chaining. Is that number measured on local inference, and what’s the typical action granularity (single click vs. multi-step workflow)? Would also love to know how you recover from partial failures when the DOM shifts or a native app doesn’t expose standard accessibility trees. Are you open-sourcing any of the action layer, or keeping that proprietary?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Can we combine it with a frontier agent, like Claude or Codex, to handle computer-use tasks?<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The replay feature feels practical. Computer-use agents are useful, but saving a task and rerunning it quickly is what could make them part of a real workflow instead of a one-off demo.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love the Fast model plus reasoning model architecture, I am a little curious about, when the supervisor steps in to re-plan after an error, how much latency does that recovery typically add to the flow?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>A lot of computer-use demos still feel like watching a slow remote desktop session. The Fast model + supervisor split is the bit that makes NeuralAgent feel practical, not just impressive in a demo.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The replay architecture is the most interesting thing here. Not-a-macro is doing a lot of work in that claim though. If the Fast model re-analyses the live screen on every replay run, what’s the latency cost versus a recorded macro when the interface hasn’t changed? And when it does adapt to an interface change, how does it signal to the user that it deviated from the original task path rather than silently doing something adjacent?<\/p>\n<p>The brittle script problem is real. Curious how you surface the cases where “adapted” actually meant “got it wrong.”<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#18<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/FZE4MBDNRJ37CJ\" class=\"app-title\">Buddy AI Note<\/a><\/p>\n<div class=\"one-liner\">Your daily memo that turns notes into a plan<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">96<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Buddy AI Note \u662f\u4e00\u6b3e\u4ee5\u201c\u5907\u5fd8\u4f18\u5148\u201d\u7684\u65e5\u5e38\u7b14\u8bb0\u5e94\u7528\uff0c\u901a\u8fc7\u8bed\u97f3\u6216\u6587\u5b57\u8bb0\u5f55\u7528\u6237\u7684\u4e00\u5929\uff0c\u81ea\u52a8\u5c06\u5185\u5bb9\u8f6c\u5316\u4e3a\u53ef\u6267\u884c\u7684\u8ba1\u5212\uff0c\u5e76\u5728\u6d89\u53ca\u4ed6\u4eba\u64cd\u4f5c\u65f6\u8bbe\u7f6e\u4eba\u5de5\u786e\u8ba4\u73af\u8282\uff0c\u89e3\u51b3\u7b14\u8bb0\u53d8\u5e9f\u7eb8\u3001\u60f3\u6cd5\u65e0\u6cd5\u843d\u5730\u7684\u75db\u70b9\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/02856bba-6d00-4e46-b382-1555f7d9f8db.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0ef66240-1b42-4b7a-90ac-74604914d6fa.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/61a17b9c-d534-4fc1-a3e6-d1a3b039bb8a.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/4b44af54-30ba-4da2-92c3-6f28ff991ca1.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0eacb1e9-2cd4-4e56-b122-39ef2bdadc74.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f212504e-1c1b-471f-a13c-a6ee27fa2620.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/a4268f78-624d-4acc-94a2-842da47f4e02.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/iM2Ywv2SQu4\"><source src=\"https:\/\/youtu.be\/iM2Ywv2SQu4\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Notes<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u7b14\u8bb0<\/span><br \/>\n <span class=\"tag\">\u5f85\u529e\u8ba1\u5212<\/span><br \/>\n <span class=\"tag\">\u8bed\u97f3\u5907\u5fd8<\/span><br \/>\n <span class=\"tag\">\u65e5\u7a0b\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">AI\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u5de5\u4f5c\u6d41<\/span><br \/>\n <span class=\"tag\">\u9690\u79c1\u5b89\u5168<\/span><br \/>\n <span class=\"tag\">\u6548\u7387\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u8de8\u5e73\u53f0<\/span><br \/>\n <span class=\"tag\">\u4ea7\u54c1\u7ba1\u7406<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u666e\u904d\u8d5e\u8d4f\u201c\u5148\u8ba1\u5212\u540e\u786e\u8ba4\u201d\u7684\u8bbe\u8ba1\u80fd\u4fdd\u62a4\u5173\u7cfb\u5b89\u5168\uff0c\u4e5f\u5173\u6ce8AI\u6267\u884c\u5c42\u662f\u5426\u8db3\u591f\u53ef\u9760\u3002\u6709\u7528\u6237\u63d0\u95eeAI\u5982\u4f55\u5904\u7406\u8df3\u8dc3\u6027\u8bed\u97f3\u7b14\u8bb0\uff0c\u8981\u6c42\u5f3a\u5236\u786e\u8ba4\u7684\u8fb9\u754c\u662f\u5426\u53ef\u5b9a\u4e49\u3002\u53e6\u6709\u7528\u6237\u5e0c\u671b\u589e\u52a0Trello\u3001Asana\u7b49\u5916\u90e8\u4efb\u52a1\u5de5\u5177\u96c6\u6210\uff0c\u5e76\u5e0c\u671b\u514d\u8d39\u8bd5\u7528\u5b8c\u6574AI\u529f\u80fd\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Buddy AI Note \u8bd5\u56fe\u89e3\u51b3\u7684\u662f\u751f\u4ea7\u529b\u5de5\u5177\u4e2d\u4e00\u4e2a\u7ecf\u5178\u4f46\u8270\u96be\u7684\u88c2\u7f1d\uff1a\u4ece\u201c\u8bb0\u4e0b\u6765\u201d\u5230\u201c\u505a\u51fa\u6765\u201d\u3002\u5e02\u9762\u4e0a\u5927\u591a\u6570\u7b14\u8bb0\u5e94\u7528\u6ee1\u8db3\u4e8e\u5b58\u50a8\u548c\u6574\u7406\uff0c\u800c Buddy \u653e\u5f03\u4e86\u201c\u7b2c\u4e8c\u5927\u8111\u201d\u7684\u5b8f\u5927\u53d9\u4e8b\uff0c\u8f6c\u800c\u505a\u4e00\u4e2a\u201c\u5e2e\u4f60\u52a8\u8d77\u6765\u7684\u6267\u884c\u52a9\u7406\u201d\uff0c\u8fd9\u79cd\u52a1\u5b9e\u5b9a\u4f4d\u503c\u5f97\u80af\u5b9a\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u6700\u5927\u7684\u8bbe\u8ba1\u4eae\u70b9\u662f\u201cplan-then-confirm\u201d\u7684\u8fb9\u754c\u7b56\u7565\u3002AI\u81ea\u52a8\u6267\u884c\u5bf9\u81ea\u5df1\u65e0\u5916\u90e8\u5f71\u54cd\u7684\u52a8\u4f5c\uff08\u5982\u5199\u7814\u7a76\u7b80\u62a5\u3001\u5c4f\u853d\u4e13\u6ce8\u65f6\u95f4\uff09\uff0c\u800c\u5bf9\u53ef\u80fd\u6ce2\u53ca\u4ed6\u4eba\u7684\u64cd\u4f5c\uff08\u5982\u53d1\u90ae\u4ef6\u3001\u53d1\u4f1a\u8bae\u9080\u8bf7\uff09\u5219\u5f3a\u5236\u63d2\u5165\u4eba\u5de5\u786e\u8ba4\u3002\u8fd9\u56de\u5e94\u4e86\u7528\u6237\u5bf9AI\u8d8a\u6743\u7684\u666e\u904d\u7126\u8651\u2014\u2014\u4e0d\u662f\u9760\u5ba3\u4f20\u201c\u6211\u4eec\u5f88\u5b89\u5168\u201d\uff0c\u800c\u662f\u9760\u8bbe\u8ba1\u8ba9\u5b89\u5168\u53ef\u611f\u77e5\u3001\u53ef\u914d\u7f6e\u3002\u5c24\u5176\u96be\u5f97\u7684\u662f\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u8bbe\u7f6e\u4e2d\u9488\u5bf9\u6bcf\u4e2a\u52a8\u4f5c\u81ea\u5b9a\u4e49\u201c\u59cb\u7ec8\u8be2\u95ee\/\u81ea\u52a8\u9664\u975e\u5f71\u54cd\u4ed6\u4eba\/\u59cb\u7ec8\u6267\u884c\u201d\uff0c\u628a\u5b89\u5168\u51b3\u7b56\u6743\u4ea4\u8fd8\u7528\u6237\uff0c\u800c\u975e\u5c01\u95ed\u7684\u201c\u5b89\u5168\u54c1\u724c\u5305\u88c5\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u8bc4\u8bba\u4e2d\u4e00\u4e2a\u8ffd\u95ee\u76f4\u51fb\u8981\u5bb3\uff1a\u6267\u884c\u5c42\u624d\u662f\u771f\u6b63\u4ea7\u751f\u4ef7\u503c\u5374\u4e5f\u6700\u5bb9\u6613\u5bfc\u81f4\u6d41\u5931\u7684\u5730\u65b9\u3002\u76ee\u524d Buddy \u80fd\u6267\u884c\u7684\u52a8\u4f5c\u7c7b\u578b\u662f\u6709\u9650\u4e14\u9884\u8bbe\u7684\uff08\u63d0\u9192\u3001\u4e13\u6ce8\u65f6\u95f4\u3001\u7814\u7a76\u7b80\u62a5\u7b49\uff09\uff0c\u5982\u679c\u7528\u6237\u9884\u671f\u5b83\u80fd\u50cf\u901a\u7528AI\u52a9\u624b\u4e00\u6837\u5904\u7406\u66f4\u590d\u6742\u3001\u8de8\u7cfb\u7edf\u7684\u4efb\u52a1\uff0c\u800c\u73b0\u5728\u53ea\u80fd\u505a\u4e00\u5957\u8fb9\u754c\u6e05\u6670\u7684\u539f\u5b50\u64cd\u4f5c\uff0c\u90a3\u4e48\u6838\u5fc3\u4ef7\u503c\u662f\u4f18\u5316\u4e86\u7528\u6237\u7684\u201c\u5f00\u5173\u89e6\u8fbe\u6548\u7387\u201d\uff0c\u800c\u975e\u771f\u6b63\u9769\u547d\u6027\u7684\u81ea\u4e3b\u4ee3\u7406\u3002\n <\/p>\n<p class=\"ai-content\">\n \u53e6\u5916\uff0c\u4ea7\u54c1\u7684\u957f\u671f\u7c98\u6027\u53d6\u51b3\u4e8e\u201c\u91cd\u590d\u6267\u884c\u7387\u201d\u2014\u2014\u7528\u6237\u7b2c\u4e00\u6b21\u8ba9 Buddy \u6267\u884c\u4e00\u4e2a\u6b65\u9aa4\u540e\uff0c\u662f\u5426\u613f\u610f\u5728\u4e0b\u4e00\u5468\u518d\u505a\u4e00\u6b21\u3002\u8fd9\u9700\u8981\u6267\u884c\u7ed3\u679c\u8db3\u591f\u7cbe\u51c6\u3001\u9519\u8bef\u6210\u672c\u8db3\u591f\u4f4e\u3002\u76ee\u524d\u5c1a\u7f3a\u5927\u89c4\u6a21\u4f7f\u7528\u6570\u636e\u6765\u9a8c\u8bc1\u8fd9\u4e00\u70b9\uff0c\u521b\u59cb\u4eba\u4e5f\u5766\u8bda\u4ecd\u5728\u79ef\u7d2f\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u7ed3\uff1aBuddy AI Note \u662f\u4e00\u6b3e\u51b7\u9759\u4e14\u6709\u6e29\u5ea6\u7684\u4ea7\u54c1\uff0c\u5176\u8fb9\u754c\u7b56\u7565\u662f\u5bf9AI\u4ea7\u54c1\u201c\u4fe1\u4efb\u8bbe\u8ba1\u201d\u7684\u542f\u53d1\uff0c\u9002\u5408\u90a3\u4e9b\u7b14\u8bb0\u867d\u591a\u4f46\u6267\u884c\u529b\u5f31\u3001\u540c\u65f6\u8b66\u60d5AI\u8d8a\u6743\u7684\u7528\u6237\u3002\u4f46\u82e5\u60f3\u6210\u4e3a\u771f\u6b63\u7684\u65e5\u5e38AI\u4ee3\u7406\uff0c\u8fd8\u9700\u6269\u5c55\u6267\u884c\u80fd\u529b\u8303\u56f4\uff0c\u5e76\u8dd1\u901a\u201c\u4fe1\u4efb\u5faa\u73af\u201d\u7684\u95ed\u73af\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Buddy AI Note<\/span>\n <\/div>\n<div class=\"comment-content\">Buddy AI Note is a memo-first daily workspace. Write or speak your day; Buddy organizes it and turns what matters into a small plan it can run for you. Safe steps (reminders, focus time, a research brief…) run on one click; anything sent to others pauses for your review. Plan-then-confirm, not autopilot. Free to start: calendar, daily memo, and Google\/Outlook sync. The AI agent (Buddy chat, task plan & execute, voice memos) is the paid upgrade. iOS, Android & web.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The plan-then-confirm boundary is the right design instinct. The question is whether you’ve drawn the line in the right place.<\/p>\n<p>“Research brief” running on one click feels underspecified. If Buddy is searching the web, summarising sources, and writing a document, that’s not obviously safer than sending an email. What’s the actual definition of “safe” here and is it user-configurable or hardcoded by you?<\/p>\n<p>The bigger validation question: how many of your current users have actually let Buddy execute a task rather than just organising their notes? The memo-to-plan loop is useful but that’s a glorified to-do list. The execution layer is where the real value lives and also where churn will happen if it gets one step wrong on something important.<\/p>\n<p>What does a successful week look like in your usage data right now?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@sergio_jivan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sergio_jivan<\/a> This is a very good question we’ve gotten on here, thanks for actually digging in.<\/p>\n<p>On “safe”, you’re right that “low-risk” was a lazy word. The real line isn’t how much work the step does, it’s who it touches and whether you can undo it. A research brief just writes a doc into your own workspace, so if it’s garbage you delete it and nobody ever saw it. A sent email is gone the second it leaves, sitting in someone else’s inbox with your name on it. The clearest example: blocking focus time on your own calendar runs automatically, but the exact same action stops and asks the moment there are other attendees on it, because now it’s reaching someone else. So a research brief can totally be wrong, it just can’t hurt a relationship, and that’s the specific thing the confirm step is there to catch.<\/p>\n<p>On whether that’s hardcoded by me or yours to change, this is the part I’m happy to point you to. The defaults are mine, but they’re only defaults. There’s a settings section with a row for every action Buddy can take and three options each: always ask, auto unless it touches someone else, or always run. “Execute all” only fires the ones you’ve set to auto. So if you think research briefs should ask first, flip that one and they will. The line I picked is just the starting point.<\/p>\n<p>On the to-do list thing, you’re completely right. The memo to plan loop on its own is a fancy checklist, and the execution layer is where the actual value is and also where people will leave if it gets one important thing wrong. That’s the bet and yeah, it’s the scary part.<\/p>\n<p>On the data, honest answer is we launched on mobile today, so I don’t have an execution rate I’d trust enough to quote you. I’d rather tell you that than throw out a number based on 10 people. The week I’m watching for isn’t memos written, it’s how many people let Buddy actually run a step and then come back and do it again the next week. That repeat is the whole thing. Ask me in three weeks and I’ll give you the real number, and I’ll come back here to tell you what it turned out to be.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The gap between “wrote it down” and “actually did it” is where every note I’ve ever taken goes to die, so I like the idea of one that nudges itself toward done. And keeping the “sends to other people” stuff gated behind a confirm is the right instinct \u2014 that’s the exact thing I’d be nervous about handing off.<\/p>\n<p>Good one. Congrats on shipping \ud83d\udc4f<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>Thanks <a href=\"https:\/\/www.producthunt.com\/@oleg_tsizdyn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@oleg_tsizdyn<\/a>\ud83d\ude4f This is exactly the two things we were obsessed with: closing that “wrote it down \u2192 actually did it” gap, and making sure anything that reaches another human stops for a human first. The confirm gate isn’t a limitation, it’s the whole point : trust has to be earned before automation. Really appreciate you taking the time to look.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Turning notes into an actual daily plan is the part most note apps miss. The interesting question is whether the plan stays grounded in what the user actually captured, or starts becoming generic productivity advice. Curious how you keep it practical day to day.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@vidur_saini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vidur_saini<\/a> Good question ! This is exactly the failure mode we were scared of. The plan only ever gets built from what you actually wrote or said, not from some generic “here’s how to be productive” template. Buddy pulls the concrete things out of your memo and turns those into steps, so if you didn’t capture it, it doesn’t invent it. It also leans on your own past notes and docs rather than a generic model, which keeps it sounding like your day instead of a self help blog. The one rule we hold is that every step should trace back to something you said. And the longer you use it, the more it pulls from your own history, so it gets more like you over time, not more generic.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Really like the idea of notes becoming action instead of just storage. The review step before anything reaches another person feels like a smart design choice rather than a limitation.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>Thanks <a href=\"https:\/\/www.producthunt.com\/@hana_salazars\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@hana_salazars<\/a> , really glad it lands that way. Out of curiosity, are you more a notes person or a calendar person day to day? Curious which side people tend to come in from.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Product Hunt \ud83d\udc4b I’m Maxence from PodTech Corp. We build Buddy AI Note.<\/p>\n<p>It started as our own problem: we live in our calendar and inbox, and our notes never turned into anything. Buddy is a daily memo that does. You write (or speak) your day, Buddy organizes it, and turns the things that matter into a small plan: a few ordered steps it can run for you.<\/p>\n<p>The part I’m proudest of: it’s plan-then-confirm, not autopilot. Safe steps (a reminder, a research brief, blocking your own focus time) run on one click. Anything that goes to another person (an email, a meeting invite) pauses and says “Will be sent to others, review first.” You stay in control.<\/p>\n<p>It’s free to start: the daily memo, calendar and Google\/Outlook sync cost nothing. The AI agent layer (Buddy advanced features, Tasks plan+execute, voice memos) is the paid upgrade, and it comes with a free trial, so you can run plan+execute and voice memos before you ever pay. Our first 100 sign-ups get 2 months of the full AI layer free, automatically, no code needed. Mobile (iOS + Android) is launching today; web’s been live.<\/p>\n<p>Would genuinely love your feedback, especially on where the plan-then-confirm boundary feels right or wrong. I’m here all day. \ud83d\ude4f<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@maxence_leguery_podtech\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@maxence_leguery_podtech<\/a> Love the philosophy behind this! \ud83c\udf89 “Plan-then-confirm, not autopilot” is the exact right approach to personal AI productivity. Turning raw daily notes or voice memos into an organized, one-click execution plan removes so much mental friction. Massive congrats to the team on shipping cross-platform across iOS, Android, and web!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch! I love the memo-first idea. <br \/>Asking as a neurodivergent person: how does Buddy handle a voice note that jumps between five completely different things?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@marie_saxon\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@marie_saxon<\/a> Thank you, and honestly this is one of the cases we most want to get right. A voice note that jumps around is normal, that is just how thinking out loud works. Buddy does not try to flatten it into one tidy summary. It pulls the separate threads apart, so a ramble that touches five different things comes back as those five things, each as its own item you can act on or ignore. The goal is messy in, structured out, you should never have to organize your thoughts before you say them. That is the whole point. I would genuinely love for you to try a real rambly one and tell me where it does and does not hold up, that kind of input is exactly what makes it better.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What a day. I genuinely did not expect the conversations this would spark. Where notes go to die, whether you talk to your phone in public, where AI should stop and ask first. I have learned more from this comment section than from months of building.<\/p>\n<p>Thank you to everyone who tried Buddy, pushed back, and shared their own note graveyards. I am still here reading every reply. Best possible start for us. \ud83d\ude4f<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’ve been using Buddy AI Note for a week now and I’m impressed with how seamlessly it integrates into my daily workflow. The ability to add tags and prioritize tasks directly within the note-taking interface is a game-changer for me as a product manager. It’s helped me declutter my notes and focus on what really matters.<\/p>\n<p>What I’d love to see next is more integration with project management tools like Trello or Asana. Would the team consider exploring APIs or partnerships to make it easier for users to turn their plans into actionable tasks?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@demi_tan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@demi_tan<\/a> Appreciate the note. Integrations are something we get asked about a lot, so it’s clearly a real need. Right now the focus is making the capture to plan to execute loop solid inside Buddy itself, but opening that up so a plan can push into tools like Trello, Asana or Linear is squarely on the radar. Out of curiosity, in your workflow would you want Buddy to create the tasks over there automatically, or hand you a draft to push across yourself? That answer shapes how we’d build it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>\u5982\u679c\u80fd\u8bd5\u7528\u5b8c\u6574AI\u529f\u80fd\u5c31\u66f4\u597d\u4e86\u3002\u6211\u5f88\u5728\u610f\u628a\u81ea\u7136\u6587\u5b57\u53d8\u6210\u5f85\u529e\u7684\u4e1d\u6ed1\u7a0b\u5ea6\u3002<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Works on iPad too? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@syed_shayanur_rahman\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@syed_shayanur_rahman<\/a> On iPad the best experience right now is the web app at <a href=\"http:\/\/ainote.tech\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">ainote.tech<\/a>, runs great in Safari. A native iPad version is on the way as the current mobile app is designed for iPhone.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#19<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/QOWDQ5T7M7FWMC\" class=\"app-title\">Deckwise<\/a><\/p>\n<div class=\"one-liner\">AI presentation agent for editable decks<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">94<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Deckwise\u662f\u4e00\u6b3eAI\u6f14\u793a\u667a\u80fd\u4f53\uff0c\u80fd\u5c06\u4e3b\u9898\u3001\u7b14\u8bb0\u548c\u6587\u4ef6\u8f6c\u5316\u4e3a\u53ef\u7f16\u8f91\u7684\u5e7b\u706f\u7247\uff0c\u5e76\u901a\u8fc7\u5957\u7d22\u9009\u4e2d\u3001\u5c40\u90e8\u91cd\u5199\u7b49\u4ea4\u4e92\u89e3\u51b3\u4f20\u7edfAI\u751f\u6210\u5de5\u5177\u201c\u4e00\u6b21\u751f\u6210\u3001\u65e0\u6cd5\u7cbe\u4fee\u201d\u7684\u75db\u70b9\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/19c155c2-d023-416f-b129-4556f1e93266.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/b5b5cf74-fb07-4a91-9e01-9d318411f56d.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/f87395a6-0cbf-401b-8946-0bd3f20d24c4.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/7ddb347e-c0ad-47c3-95b8-726e362103f2.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/fbf20994-1e86-454b-af9a-37222b0ef08b.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=V2teW1d8-5Y\"><source src=\"https:\/\/www.youtube.com\/watch?v=V2teW1d8-5Y\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Design Tools<\/span><br \/>\n <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u6f14\u793a\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u4f53<\/span><br \/>\n <span class=\"tag\">\u5e7b\u706f\u7247\u7f16\u8f91<\/span><br \/>\n <span class=\"tag\">\u5957\u7d22\u7f16\u8f91<\/span><br \/>\n <span class=\"tag\">\u5185\u5bb9\u751f\u6210<\/span><br \/>\n <span class=\"tag\">\u8bbe\u8ba1\u8fed\u4ee3<\/span><br \/>\n <span class=\"tag\">\u54c1\u724c\u4e00\u81f4\u6027<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6d41\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u53ef\u7f16\u8f91\u8f93\u51fa<\/span><br \/>\n <span class=\"tag\">Notion\u5f0f\u5e03\u5c40<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u80af\u5b9a\u201c\u5957\u7d22\u7f16\u8f91\u201d\u5b9e\u73b0\u751f\u6210\u540e\u8fed\u4ee3\u7684\u4ef7\u503c\uff0c\u8d28\u7591\u70b9\u96c6\u4e2d\u5728\uff1a\u8bed\u4e49\u7406\u89e3\u662f\u5426\u57fa\u4e8e\u9009\u4e2d\u5bf9\u8c61\uff1b\u957f\u6587\u6863\uff0830+\u9875\uff09\u54c1\u724c\u4e00\u81f4\u6027\u63a7\u5236\uff1b\u590d\u6742\u5806\u53e0\u5143\u7d20\u4e0e\u975e\u7ebf\u6027\u5e03\u5c40\u7684\u7a33\u5b9a\u6027\uff1b\u5982\u4f55\u533a\u5206\u4e8e\u73b0\u6709Gamma\/Pitch\u7b49\u5e73\u53f0\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Deckwise\u627e\u5230\u4e86\u4e00\u4e2a\u88ab\u884c\u4e1a\u5ffd\u89c6\u7684\u75db\u70b9\uff1a\u5927\u591a\u6570AI\u6f14\u793a\u5de5\u5177\u662f\u201c\u751f\u6210\u5668\u201d\u800c\u975e\u201c\u7f16\u8f91\u5668\u201d\u3002\u7528\u6237\u771f\u6b63\u9700\u8981\u7684\u4e0d\u662f\u4e00\u6b21\u6027\u751f\u6210\u6f02\u4eae\u4f46\u65e0\u6cd5\u4fee\u6539\u7684PPT\uff0c\u800c\u662f\u80fd\u50cf\u771f\u4eba\u8bbe\u8ba1\u5e08\u4e00\u6837\uff0c\u5e2e\u4f60\u6539\u5176\u4e2d\u4e00\u9875\u3001\u8c03\u5176\u4e2d\u4e00\u5757\u5e03\u5c40\u7684\u201c\u526f\u9a7e\u9a76\u201d\u3002\u5957\u7d22\u7f16\u8f91\u7684\u4ea4\u4e92\u76f4\u89c9\u5f88\u5bf9\uff0c\u4f46\u5b83\u53ea\u662f\u524d\u950b\uff0c\u540e\u9762\u7684\u9635\u5730\u6218\u95ee\u9898\u4e00\u4e2a\u90fd\u6ca1\u5c11\uff1a\u54c1\u724c\u4e00\u81f4\u6027\u5728\u957f\u6587\u6863\u4e2d\u4f1a\u5d29\u584c\uff0c\u590d\u6742\u91cd\u53e0\u5143\u7d20\u7684\u201c\u4e16\u754c\u6a21\u578b\u201d\u67b6\u6784\u76ee\u524d\u8fd8\u662f\u613f\u666f\uff0cOpenAI\u7684API\u80fd\u529b\u66f4\u662f\u60ac\u5728\u5934\u9876\u7684\u8fbe\u6469\u514b\u5229\u65af\u4e4b\u5251\u3002\u672c\u8d28\u4e0a\uff0cDeckwise\u62bc\u6ce8\u7684\u662f\u201cAI agent\u5728\u89c6\u89c9\u7f16\u8f91\u5668\u4e2d\u7684\u6267\u884c\u80fd\u529b\u201d\uff0c\u8fd9\u6bd4\u5199\u4ee3\u7801\u96be\u5f97\u591a\u2014\u2014\u7528\u6237\u6700\u7ec8\u8981\u7684\u662f\u4e00\u676f\u80fd\u968f\u65f6\u6405\u62cc\u7684\u5496\u5561\uff0c\u800c\u4e0d\u662f\u4e00\u676f\u5fc5\u987b\u559d\u5b8c\u7684\u901f\u6eb6\u3002\u76ee\u524d\u770b\u6765\uff0c\u5b83\u8fd8\u5904\u5728\u4e00\u4e2a\u6f02\u4eae\u7684Demo\u9636\u6bb5\uff0c\u79bb\u771f\u6b63\u66ff\u4ee3\u67af\u71e5\u7684PPT\u4fee\u6539\u5de5\u4f5c\uff0c\u8fd8\u6709\u597d\u51e0\u4e2a\u201c\u5b8c\u6574\u4e0a\u4e0b\u6587\u7a97\u53e3\u201d\u7684\u8ddd\u79bb\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Deckwise<\/span>\n <\/div>\n<div class=\"comment-content\">Deckwise is the AI presentation agent that turns topics, notes, files, and sources into clear, editable decks.Deckwise is an AI presentation agent that turns topics, notes, files, and sources into clear, editable decks. It plans the outline first, creates structured slides, and lets you keep improving them with an agent: select any part with lasso, then ask Deckwise to rewrite, redesign, reorder, or polish it. Not just generated once \u2014 improved with you.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Why most AI presentation tools still feel like toys???<\/p>\n<p>Been building in the AI presentation space recently and wanted to share a quick teardown of why current tools still frustrate us:<\/p>\n<ul>\n<li>\n<p><strong>Gamma<\/strong>: Great for simple bullet points, but its Notion-like block structure kills spatial freedom. It fails at 90% of complex, real-world PPT tasks.<\/p>\n<\/li>\n<li>\n<p><strong>PowerPoint<\/strong>: Legacy XML is an absolute nightmare for AI to parse and generate reliably. It’s just not built for the SaaS era.<\/p>\n<\/li>\n<li>\n<p><strong>Pitch<\/strong>: Beautiful canvas, but it\u2019s a traditional tool with AI bolted on, not an AI-native agent.<\/p>\n<\/li>\n<li>\n<p><strong>Claude\/HTML slides<\/strong>: Generating code is cool, but having no visual GUI editor is a dealbreaker. “Prompt-and-pray” is not a reliable workflow.<\/p>\n<\/li>\n<\/ul>\n<p>The takeaway? <\/p>\n<p>The only logical path forward is a true 2D spatial canvas built <em>for<\/em> AI agents, paired with a real native editor and rich assets so you can actually tweak things 1:1. That\u2019s exactly the paradigm we\u2019re exploring with Deckwise.<\/p>\n<p>Or maybe I’m just being too picky? \ud83e\udd14<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ao_xu1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ao_xu1<\/a> Does Deckwise understand the selected object semantically, or is it using the selection mainly as visual context for the edit?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>lasso-selecting a slide and asking it to redesign is the part every other deck tool skips. does it hold brand styling consistent across the whole deck?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@reallynattu\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@reallynattu<\/a> Yes, that\u2019s the idea. Lasso feels natural for working on a canvas.<\/p>\n<p>We designed it so the agent can edit a selected area while still keeping the full deck context in mind: theme, typography, layout patterns, and brand direction.<\/p>\n<p>Technically, we try to provide this information in the context. But the bottleneck is partly the base model capability from the API provider we use, OpenAI, and partly the context window itself. As the context gets larger, especially with longer decks, maybe 30+ slides, consistency becomes much harder.<\/p>\n<p>That\u2019s definitely one of the technical problems we care about.<\/p>\n<p>Thanks for pointing it out!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The lasso editing is the part that makes this feel different. Generating a deck is nice, but being able to point at one messy section and ask the AI to fix just that is much closer to how people actually revise slides.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>wow this feels closer to an actual workflow tool than a generator, especially with the iterative \u201cedit after creation\u201d loop.<\/p>\n<p>the lasso-based refinement is what makes it feel usable for real deck work. good job<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How is it an agent exactly? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ragsyme\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ragsyme<\/a> Fair question. By \u201cagent,\u201d we mean it can keep editing on the deck after the first generation. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How does the AI understand complex overlapping elements and layered layouts that aren’t simple linear flows?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@crystalmei\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@crystalmei<\/a> Thanks! Yes, many AI presentation tools avoid this by constraining slides into non-overlapping, bento-style layouts. It\u2019s more stable, but it also limits real editing. To be honest, we do this in some places today as well.<\/p>\n<p>Technically, I think solving this properly requires something like a lightweight world model for presentations:<\/p>\n<p>State: what\u2019s on the slide now \u2014 text, images, layout, and style.<\/p>\n<p>Actions: what the AI can do \u2014 edit text, move things, resize, or redesign.<\/p>\n<p>Result: what the slide looks like after the change.<\/p>\n<p><strong>Rules: what to avoid \u2014 overlaps, overflow, or broken layouts.<\/strong><\/p>\n<p><strong>Evaluation: whether it\u2019s better \u2014 clearer, easier to read, and more balanced.<\/strong><\/p>\n<p>Goals: what the user wants \u2014 shorter, more like a pitch deck, or more suitable for ads or investors.<\/p>\n<p>It\u2019s more complex than today\u2019s stable SaaS patterns, but I believe this is where next-generation AI presentation software has to go. That\u2019s what we\u2019re working toward.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">How it is different from other platforms out there?<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@divvsaxena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@divvsaxena<\/a> Great question! Deckwise focuses on what happens after generation: editable decks + an AI agent that helps you refine slides inside the editor.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#20<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/YTFW54UICGABUJ\" class=\"app-title\">Amnesia<\/a><\/p>\n<div class=\"one-liner\">A Mac app that asks why you opened that tab<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">93<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Amnesia\u662f\u4e00\u6b3emacOS\u83dc\u5355\u680f\u5e94\u7528\uff0c\u9488\u5bf9\u7528\u6237\u6253\u5f00\u5206\u5fc3\u7f51\u7ad9\/\u5e94\u7528\u540e\u5fd8\u8bb0\u521d\u8877\u7684\u573a\u666f\uff0c\u901a\u8fc7\u5f3a\u5236\u8bb0\u5f55\u610f\u56fe\u3001\u8ddf\u8e2a\u65f6\u957f\u548c\u751f\u6210\u65e5\u62a5\uff0c\u5e2e\u52a9\u7528\u6237\u51cf\u5c11\u65e0\u610f\u8bc6\u7684\u65f6\u95f4\u6d6a\u8d39\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/646b3dad-d4c7-4a29-83dd-4b7fbe3d7dbb.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/1U0KFUvj-d0\"><source src=\"https:\/\/youtu.be\/1U0KFUvj-d0\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/daad331c-1fed-48e0-b628-a62b7b71eab8.jpeg?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/edd5db9d-bd84-4665-bef0-1d1db0c04020.jpeg?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/d100df6e-01d8-47b1-bc60-b21920d9a32a.jpeg?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Mac<\/span><br \/>\n <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Menu Bar Apps<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u4e13\u6ce8\u529b\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">macOS<\/span><br \/>\n <span class=\"tag\">\u83dc\u5355\u680f<\/span><br \/>\n <span class=\"tag\">\u6ce8\u610f\u7f3a\u9677<\/span><br \/>\n <span class=\"tag\">\u65f6\u95f4\u8ffd\u8e2a<\/span><br \/>\n <span class=\"tag\">\u610f\u56fe\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u9690\u79c1\u4f18\u5148<\/span><br \/>\n <span class=\"tag\">\u672c\u5730\u4f18\u5148<\/span><br \/>\n <span class=\"tag\">\u5206\u5fc3\u963b\u65ad<\/span><br \/>\n <span class=\"tag\">\u6548\u7387\u63d0\u5347<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u53cd\u9988\u96c6\u4e2d\u80af\u5b9a\u8be5\u4ea7\u54c1\u5bf9ADHD\/\u6ce8\u610f\u529b\u5206\u6563\u8005\u7684\u4ef7\u503c\u3002\u6838\u5fc3\u95ee\u9898\u5305\u62ec\uff1a\u80fd\u5426\u81ea\u5b9a\u4e49\u8ffd\u8e2a\u5e94\u7528\u548c\u7f51\u7ad9\uff08\u521b\u4f5c\u8005\u786e\u8ba4\u53ef\u4ee5\uff09\uff0c\u662f\u5426\u652f\u6301\u767d\u540d\u5355\u548c\u52a8\u6001\u7075\u654f\u5ea6\uff08\u5f53\u524d\u529f\u80fd\u7b80\u8981\uff0c\u8ba1\u5212\u6539\u8fdb\uff09\u3002\u4e5f\u6709Android\u5f00\u53d1\u8005\u5206\u4eab\u4e86\u540c\u7c7b\u7ade\u54c1\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Amnesia\u7684\u5de7\u5999\u4e4b\u5904\u5728\u4e8e\u5b83\u5207\u4e2d\u4e86\u4e00\u4e2a\u88ab\u7edd\u5927\u591a\u6570\u6548\u7387\u5de5\u5177\u5ffd\u89c6\u7684\u201c\u5fae\u65f6\u523b\u201d\uff1a\u4ece\u201c\u6253\u5f00\u5e94\u7528\u201d\u5230\u201c\u5fd8\u8bb0\u4e3a\u4f55\u6253\u5f00\u201d\u4e4b\u95f4\u7684\u795e\u7ecf\u65ad\u5c42\u3002\u5b83\u4e0d\u662f\u53c8\u4e00\u4e2a\u4efb\u52a1\u7ba1\u7406\u5668\u6216\u756a\u8304\u949f\uff0c\u800c\u662f\u76f4\u63a5\u5728\u8fd9\u4e2a\u8ba4\u77e5\u6f0f\u6d1e\u4e0a\u690d\u5165\u4e00\u4e2a\u201c\u610f\u56fe\u53cd\u5c04\u201d\u3002\u8fd9\u4e2a\u8bbe\u8ba1\u7684\u4ef7\u503c\u5728\u4e8e\u627f\u8ba4\u4e86\u4eba\u5728\u6570\u5b57\u73af\u5883\u4e2d\u7684\u975e\u7406\u6027\u2014\u2014\u6211\u4eec\u660e\u77e5\u4f1a\u8ff7\u5931\uff0c\u5374\u4e00\u6b21\u6b21\u4e3b\u52a8\u8df3\u5165\u9677\u9631\u3002Amnesia\u6ca1\u6709\u7528\u65f6\u95f4\u9650\u5236\u6216\u5c4f\u853d\u6765\u5bf9\u6297\u5206\u5fc3\uff0c\u800c\u662f\u9009\u62e9\u4ee5\u8f7b\u5fae\u7684\u201c\u6469\u64e6\u201d\u5524\u9192\u5143\u8ba4\u77e5\uff0c\u8fd9\u5728\u884c\u4e3a\u8bbe\u8ba1\u4e0a\u76f8\u5f53\u9ad8\u7ea7\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u8fd9\u6b3e\u4ea7\u54c1\u9762\u4e34\u4e24\u4e2a\u6838\u5fc3\u6311\u6218\u3002\u7b2c\u4e00\uff0c\u662f\u201c\u6469\u64e6\u6536\u76ca\u6bd4\u201d\uff1a\u5f3a\u5236\u8f93\u5165\u610f\u56fe\u7684\u6253\u65ad\u672c\u8eab\u4f1a\u7834\u574f\u5fc3\u6d41\uff0c\u7528\u6237\u662f\u5426\u613f\u610f\u4e3a\u6b64\u4ed8\u8d39\uff0c\u53d6\u51b3\u4e8e\u5b83\u80fd\u8282\u7701\u7684\u65f6\u95f4\u662f\u5426\u5927\u4e8e\u6253\u65ad\u5e26\u6765\u7684\u635f\u5931\u3002\u4ece\u8bc4\u8bba\u770b\uff0c\u5b83\u7684\u76ee\u6807\u5ba2\u7fa4\u53ef\u80fd\u662fADHD\u4eba\u7fa4\u548c\u201c\u65e0\u610f\u8bc6\u5237\u5c4f\u7684\u81ea\u6211\u538c\u6076\u8005\u201d\uff0c\u8fd9\u4e2a\u5e02\u573a\u771f\u5b9e\u4f46\u672a\u5fc5\u8db3\u591f\u5927\u3002\u7b2c\u4e8c\uff0c\u662f\u4fdd\u6301\u201c\u6781\u7b80\u201d\u4e0e\u201c\u529f\u80fd\u81a8\u80c0\u201d\u4e4b\u95f4\u7684\u5e73\u8861\u3002\u76ee\u524d\u5b83\u62d2\u7edd\u540e\u53f0\u8bfb\u53d6\u3001\u4e91\u7aef\u540c\u6b65\uff0c\u8fd9\u79cd\u6781\u81f4\u9690\u79c1\u4e3b\u4e49\u662f\u4eae\u70b9\uff0c\u4f46\u4e5f\u9650\u5236\u4e86\u4ece\u4e2a\u4eba\u5de5\u5177\u5411\u56e2\u961f\u534f\u4f5c\u5de5\u5177\u7684\u8fdb\u5316\uff08\u5982\u8bc4\u8bba\u4e2d\u63d0\u5230\u7684\u52a8\u6001\u7075\u654f\u5ea6\u3001\u9879\u76ee\u4e0a\u4e0b\u6587\u611f\u77e5\uff09\u3002\u4e00\u65e6\u5f00\u59cb\u589e\u52a0\u56e2\u961f\u62a5\u544a\u3001\u5de5\u4f5c\u533a\u5206\u6790\u7b49\u529f\u80fd\uff0c\u4ea7\u54c1\u590d\u6742\u5ea6\u548c\u9690\u79c1\u98ce\u9669\u90fd\u4f1a\u6307\u6570\u7ea7\u4e0a\u5347\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5f00\u53d1\u8005Vidur\u7684\u53d8\u73b0\u7b56\u7565\u662f\u660e\u667a\u7684\u2014\u2014\u5148\u505a\u597d\u4e00\u4e2a19\u7f8e\u5143\u7684\u672c\u5730\u5c0f\u5de5\u5177\uff0c\u800c\u4e0d\u662f\u70e7\u94b1\u505a\u514d\u8d39+\u8ba2\u9605\u7684\u4e91\u670d\u52a1\u3002\u5728\u5de5\u5177\u7c7b\u5e94\u7528\u4e2d\uff0c\u5c0f\u800c\u7f8e\u7684\u4ed8\u8d39\u4ea7\u54c1\u6bd4\u201c\u529f\u80fd\u5806\u780c\u7684\u514d\u8d39+\u9690\u79c1\u6362\u7b97\u6cd5\u201d\u66f4\u6709\u751f\u5b58\u673a\u4f1a\u3002\u771f\u6b63\u7684\u8003\u9a8c\u5728\u4e8e\uff1a\u5b83\u80fd\u575a\u6301\u201c\u4e0d\u8bfb\u53d6\u5185\u5bb9\u201d\u7684\u627f\u8bfa\u591a\u4e45\uff1f\u5f53\u7528\u6237\u8981\u6c42\u201c\u5e2e\u6211\u5206\u6790\u4e3a\u4ec0\u4e48\u5728X\u4e0a\u8017\u4e8630\u5206\u949f\u201d\u65f6\uff0c\u662f\u5426\u771f\u80fd\u505a\u5230\u4e0d\u78b0\u6570\u636e\uff1f\u8fd9\u4e0d\u4ec5\u662f\u6280\u672f\u95ee\u9898\uff0c\u66f4\u662f\u521b\u59cb\u4eba\u7684\u4ea7\u54c1\u54f2\u5b66\u5206\u6c34\u5cad\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">Amnesia<\/span>\n <\/div>\n<div class=\"comment-content\">Amnesia is a local-first macOS menu bar app for people who open X, YouTube, Reddit, Slack, or analytics dashboards and forget why. It asks for your intent, keeps a tiny timer on-screen, checks whether you did what you came to do, and turns the day into a private report of opens, forgotten intents, and time lost.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Product Hunt – I built Amnesia after noticing I kept opening X “for one thing” and resurfacing 10 minutes later with no idea why I came there.<\/p>\n<p>It is a tiny local-first Mac menu bar app. When you open a distracting app or site, it asks: “Why are you here?” Then it keeps that intent floating on-screen, checks whether you actually did it, and gives you a private daily report of opens, forgotten intents, time lost, and worst loops.<\/p>\n<p>No cloud, no login, and no content capture. It does not read tweets, messages, prompts, source code, or revenue numbers. It only tracks coarse destinations and the intent you choose.<\/p>\n<p>I am launching it as a $19 early-access Mac app because I wanted to see if other people have the same app-amnesia problem. I would love feedback on whether this should stay a tiny personal tool or become something more team-focused.<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@vidur_saini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vidur_saini<\/a> Congrats on the launch Vidur! Funny timing, I shipped Meridian on Android and launched on PH today too. It’s the same core question: Why are you here? Same thesis, different platform. Clearly we were both annoyed by the same thing. Parallel evolution is a good sign the problem is real.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Im thinking this might well morph to a mobile app, notably because I frequently take my phone with me when I (e.g.) go to the basement to get a phillips-head screwdriver, and when I get there, I’ve completely forgotten why I came down to the basement in the first place. I have to go back upstairs and wander around until “Oh yeah, I needed it to screw in the door handle.”<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@peter_farnsworth\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@peter_farnsworth<\/a> Hey Peter funny that you mentioned that. I found the same thesis and built this for Android. Meridian launched today on Play Store, on-device AI that asks why you’re opening your most-used apps, no cloud, no data collection. A local AI companion runs entirely on your device. Would love your thoughts if you try it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This feels like it would be incredibly useful for people with ADHD. The intent prompt alone could be a game changer for them. Quick question though can you add your own custom apps and websites to track or is it limited to the ones you’ve pre-selected <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@pradyumna6\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@pradyumna6<\/a> Thank you, that means a lot. ADHD \/ attention drift is one of the use cases I care about most here.<\/p>\n<p>And yes, you can add your own custom websites and apps. The default list is just there to make setup fast, but Amnesia is meant to work with whatever tends to pull you off track personally.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Forcing a moment of intent before the distraction loop kicks in is such a simple but high-leverage intervention. Congrats on the launch!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey cool idea. I have a question regarding app-switching velocity: does Amnesia allow users to whitelist certain background apps that shouldn’t trigger the intent prompt, or does it dynamically adjust its sensitivity based on the active project\/workspace you are currently in? Sticking a timer right in the menu bar is smart. Congratulations on the launch!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@konstant_gk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@konstant_gk<\/a> Thanks! Right now Amnesia is intentionally simple: you choose the specific apps and sites you want it to catch, and everything else stays out of the way.<\/p>\n<p>There isn\u2019t dynamic workspace\/project sensitivity yet, but that\u2019s exactly the kind of direction we\u2019re thinking about: letting Amnesia understand context better without making the setup feel heavy. For this first version, the goal was to make the interrupt explicit, predictable, and easy to trust.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is a very specific behavior that most productivity tools ignore. I don’t lose time because I lack a task list. I lose time because I forget the reason I opened something in the first place. Clever framing.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@darly_selby\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@darly_selby<\/a> Totally. That was the exact itch behind Amnesia.<\/p>\n<p>Most tools assume the problem is planning or discipline, but a lot of the leak happens in that tiny moment between \u201cI opened this for a reason\u201d and \u201cwait, why am I here?\u201d We wanted Amnesia to catch that moment without turning into another system to manage.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">interesting concept! curious if you plan on making profits from this?<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@luki_notlowkey\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@luki_notlowkey<\/a> Thank you! Yes, I\u2019d like Amnesia to become a sustainable paid product. The important part for me is making money in a way that aligns with the product: local-first, privacy-conscious, no attention-harvesting, and useful enough that people are happy to pay for it. Right now I\u2019m focused on learning from early users and improving the core experience.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Fun! Adhd or just brain fog – this helps for both<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@arathy_kushalappa1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@arathy_kushalappa1<\/a> That was the goal! Thanks, Arathy \ud83d\ude42<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<\/div>\n<p><!-- \u56fe\u7247\u653e\u5927\u6a21\u6001\u6846 --><\/p>\n<div id=\"imageModal\" class=\"modal\">\n <span class=\"close\">×<\/span><br \/>\n <img class=\"modal-content\" id=\"modalImage\">\n<\/div>\n<p><script>\n \/\/ \u83b7\u53d6\u6a21\u6001\u6846\u5143\u7d20\n const modal = document.getElementById(\"imageModal\");\n const modalImg = document.getElementById(\"modalImage\");\n const closeBtn = document.getElementsByClassName(\"close\")[0];<\/p>\n<p> \/\/ \u68c0\u6d4b\u662f\u5426\u4e3a\u79fb\u52a8\u8bbe\u5907\n const isMobile = \/iPhone|iPad|iPod|Android\/i.test(navigator.userAgent);<\/p>\n<p> \/\/ \u4e3a\u79fb\u52a8\u8bbe\u5907\u6dfb\u52a0\u89e6\u6478\u4f18\u5316\n function addTouchOptimization() {\n if (isMobile) {\n \/\/ \u4e3a\u6240\u6709\u53ef\u70b9\u51fb\u5143\u7d20\u6dfb\u52a0\u89e6\u6478\u53cd\u9988\n const clickableElements = document.querySelectorAll(\n '.media-content, .close, .video-overlay, .play-icon'\n );<\/p>\n<p> clickableElements.forEach(el => {\n el.style.touchAction = 'manipulation'; \/\/ \u9632\u6b62\u53cc\u51fb\u7f29\u653e\n });\n }\n }<\/p>\n<p> \/\/ \u4e3a\u6240\u6709\u56fe\u7247\u6dfb\u52a0\u70b9\u51fb\u4e8b\u4ef6\n const images = document.querySelectorAll(\"img.media-content\");\n images.forEach(img => {\n img.onclick = function() {\n modal.style.display = \"block\";\n modalImg.src = this.src;\n \/\/ \u963b\u6b62\u80cc\u666f\u6eda\u52a8\n document.body.style.overflow = \"hidden\";\n }<\/p>\n<p> \/\/ \u4e3a\u79fb\u52a8\u8bbe\u5907\u6dfb\u52a0\u89e6\u6478\u4e8b\u4ef6\u652f\u6301\n if (isMobile) {\n img.addEventListener('touchstart', function(e) {\n \/\/ \u9632\u6b62\u89e6\u6478\u4e8b\u4ef6\u89e6\u53d1\u4e0d\u5fc5\u8981\u7684\u884c\u4e3a\n e.preventDefault();\n this.click();\n }, { passive: false });\n }\n });<\/p>\n<p> \/\/ \u4e3a\u89c6\u9891\u6dfb\u52a0\u70b9\u51fb\u4e8b\u4ef6 - \u8df3\u8f6c\u5230\u89c6\u9891URL\n const videos = document.querySelectorAll(\"video.media-content\");\n videos.forEach(video => {\n \/\/ \u70b9\u51fb\u89c6\u9891\u672c\u8eab\u65f6\u8df3\u8f6c\u5230\u89c6\u9891URL\n video.onclick = function(e) {\n \/\/ \u68c0\u67e5\u70b9\u51fb\u76ee\u6807\u662f\u5426\u662f\u89c6\u9891\u63a7\u4ef6\u6216\u5176\u5b50\u5143\u7d20\n let isControlClick = false;\n let target = e.target;<\/p>\n<p> \/\/ \u5411\u4e0a\u904d\u5386DOM\uff0c\u68c0\u67e5\u662f\u5426\u70b9\u51fb\u4e86\u63a7\u4ef6\u5143\u7d20\n while (target && target !== this) {\n \/\/ \u68c0\u67e5\u662f\u5426\u6709\u63a7\u4ef6\u76f8\u5173\u7684\u7c7b\u540d\u6216\u5c5e\u6027\n if (target.classList.contains('video-js') || \n target.tagName.toLowerCase() === 'button' || \n target.tagName.toLowerCase() === 'input' || \n target.tagName.toLowerCase() === 'select' ||\n target.className.includes('control')) {\n isControlClick = true;\n break;\n }\n target = target.parentElement;\n }<\/p>\n<p> \/\/ \u53ea\u6709\u5f53\u70b9\u51fb\u7684\u662f\u89c6\u9891\u672c\u8eab\u800c\u975e\u63a7\u4ef6\u65f6\u624d\u8df3\u8f6c\n if (!isControlClick && e.target.tagName.toLowerCase() === 'video') {\n const videoUrl = this.getAttribute('data-video-url') || this.querySelector('source').src;\n window.open(videoUrl, '_blank');\n }\n }<\/p>\n<p> \/\/ \u4e3a\u79fb\u52a8\u8bbe\u5907\u6dfb\u52a0\u89e6\u6478\u4e8b\u4ef6\u652f\u6301\n if (isMobile) {\n video.addEventListener('touchstart', function(e) {\n \/\/ \u68c0\u67e5\u662f\u5426\u70b9\u51fb\u4e86\u63a7\u4ef6\n let isControlClick = false;\n let target = e.target;<\/p>\n<p> while (target && target !== this) {\n if (target.tagName.toLowerCase() === 'button' || \n target.tagName.toLowerCase() === 'input' || \n 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