{"id":260,"date":"2026-06-23T12:33:53","date_gmt":"2026-06-23T04:33:53","guid":{"rendered":"https:\/\/ph.listeningo.cn\/index.php\/2026\/06\/23\/2026-06-22\/"},"modified":"2026-06-23T12:33:53","modified_gmt":"2026-06-23T04:33:53","slug":"2026-06-22","status":"publish","type":"post","link":"https:\/\/ph.listeningo.cn\/index.php\/2026\/06\/23\/2026-06-22\/","title":{"rendered":"PH\u70ed\u699c | 2026-06-22"},"content":{"rendered":"


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\n Product Hunt \u6bcf\u65e5\u70ed\u699c 2026-06-22<\/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 | 2026-06-22<\/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\/WYDUMMA2RJODS7\" class=\"app-title\">Skybridge<\/a><\/p>\n<div class=\"one-liner\">The full-stack open source React framework for MCP Apps<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">467<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Skybridge \u662f\u4e00\u4e2a\u5f00\u6e90 React \u6846\u67b6\uff0c\u4e13\u4e3a\u6784\u5efa\u5728 ChatGPT\u3001Claude \u7b49 AI \u52a9\u624b\u4e2d\u8fd0\u884c\u7684\u4ea4\u4e92\u5f0f MCP \u5e94\u7528\u800c\u8bbe\u8ba1\uff0c\u89e3\u51b3\u4e86\u5f00\u53d1\u8005\u5728\u4e0d\u540c AI \u4e3b\u673a\u95f4\u91cd\u590d\u7f16\u5199\u517c\u5bb9\u4ee3\u7801\u3001\u7f3a\u4e4f\u70ed\u52a0\u8f7d\u8c03\u8bd5\u5de5\u5177\u548c\u7edf\u4e00\u6d4b\u8bd5\u73af\u5883\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\/5eae71ea-a778-40ba-95e0-5e5ae410b1cb.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\/a5fa2f0e-8b23-4210-ba7b-69720e17c998.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\/4769a0a3-2906-40e4-bf16-41c1e6afb137.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\/3c512436-8104-41cc-8421-ae3e834a91b5.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\/df7692dd-fff1-4aa7-a3ef-96c1825a31bc.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\/60146b31-8dca-406c-b3d9-b4cf674e4cc4.jpeg?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\/3f7ee760-61cb-463e-81ea-7be988b689fa.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/x6IMU5O-XOY\"><source src=\"https:\/\/youtu.be\/x6IMU5O-XOY\" 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>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">MCP\u6846\u67b6<\/span><br \/>\n <span class=\"tag\">React<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90<\/span><br \/>\n <span class=\"tag\">AI\u5e94\u7528\u5f00\u53d1<\/span><br \/>\n <span class=\"tag\">\u5168\u6808\u5de5\u5177\u94fe<\/span><br \/>\n <span class=\"tag\">ChatGPT\u63d2\u4ef6<\/span><br \/>\n <span class=\"tag\">Claude\u96c6\u6210<\/span><br \/>\n <span class=\"tag\">\u70ed\u6a21\u5757\u66ff\u6362<\/span><br \/>\n <span class=\"tag\">\u8de8\u5e73\u53f0\u517c\u5bb9<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/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\u201c\u4e00\u6b21\u7f16\u7801\uff0c\u5230\u5904\u8fd0\u884c\u201d\u7684\u8de8\u5e73\u53f0\u517c\u5bb9\u80fd\u529b\u548c\u70ed\u52a0\u8f7d\u8c03\u8bd5\u4f53\u9a8c\u3002\u4e3b\u8981\u5173\u6ce8\u70b9\u5305\u62ec\uff1a\u4e0d\u540c\u4e3b\u673a\u95f4\u6743\u9650\u4e0e\u4e0a\u4e0b\u6587\u89e3\u6790\u7684\u4e00\u81f4\u6027\u6d4b\u8bd5\u5982\u4f55\u4fdd\u8bc1\uff1b\u62bd\u8c61\u5c42\u662f\u5426\u4f1a\u5f71\u54cd\u7279\u5b9a\u4e3b\u673a\u7684\u81ea\u5b9a\u4e49\u529f\u80fd\uff08\u6846\u67b6\u63d0\u4f9b\u4e86\u5e95\u5c42 API \u89e3\u51b3\uff09\uff1b\u4ee5\u53ca\u8fd0\u884c\u5408\u89c4\u626b\u63cf\u662f\u5426\u5fc5\u987b\u4f9d\u8d56\u81ea\u5bb6\u4e91\u670d\u52a1\uff08\u652f\u6301\u672c\u5730 CLI \u5ba1\u8ba1\uff09\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 Skybridge \u672c\u8d28\u4e0a\u4e0d\u662f\u53c8\u4e00\u4e2a\u201cReact \u6846\u67b6\u201d\uff0c\u800c\u662f AI \u5e94\u7528\u5206\u53d1\u6e20\u9053\u788e\u7247\u5316\u50ac\u751f\u7684\u201c\u7ba1\u9053\u80f6\u5e26\u201d\u3002\u5b83\u7cbe\u51c6\u5207\u5165\u4e86\u4e00\u4e2a\u73b0\u5b9e\u75db\u70b9\uff1a\u5f53 ChatGPT\u3001Claude\u3001Cursor \u5404\u81ea\u4e3a\u653f\uff0c\u6bcf\u4e2a\u5e73\u53f0\u90fd\u6709\u4e00\u5957\u522b\u626d\u7684\u5b9e\u73b0\u7ec6\u8282\u65f6\uff0c\u5f00\u53d1\u8005\u88ab\u8feb\u628a\u5927\u91cf\u7cbe\u529b\u6d6a\u8d39\u5728\u65e0\u4ef7\u503c\u7684\u201c\u517c\u5bb9\u6027\u80f6\u6c34\u4ee3\u7801\u201d\u4e0a\u3002Skybridge \u901a\u8fc7\u62bd\u8c61\u5c42\u89e3\u51b3\u4e86\u8fd9\u4e2a\u91cd\u590d\u9020\u8f6e\u5b50\u7684\u82e6\u529b\u6d3b\uff0c\u8fd9\u662f\u5176\u6838\u5fc3\u4ef7\u503c\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u5fc5\u987b\u6e05\u9192\u770b\u5230\uff0c\u8fd9\u662f\u5178\u578b\u7684\u57fa\u7840\u8bbe\u65bd\u7ea2\u5229\u3002\u6846\u67b6\u7684\u6210\u529f\u5b8c\u5168\u53d6\u51b3\u4e8e\u4e0a\u6e38 AI \u5de8\u5934\u4eec\u662f\u5426\u4f1a\u6301\u7eed\u5f00\u653e\u5e76\u4fdd\u6301\u8fd9\u79cd\u788e\u7247\u5316\u3002\u5982\u679c OpenAI \u6216 Anthropic \u54ea\u5bb6\u660e\u5929\u63a8\u51fa\u5b98\u65b9\u7684\u3001\u5927\u4e00\u7edf\u7684\u8de8\u5e73\u53f0 SDK\uff08\u6216\u8005\u5e72\u8106\u6536\u7d27\u653f\u7b56\uff0c\u9650\u5236\u7b2c\u4e09\u65b9\u6846\u67b6\u7684\u80fd\u529b\uff09\uff0cSkybridge \u7684\u62bd\u8c61\u5c42\u4ef7\u503c\u4f1a\u77ac\u95f4\u8d2c\u503c\u3002\u76ee\u524d\u5176\u5ba3\u79f0\u7684\u201c500K+ \u4e0b\u8f7d\u91cf\u201d\u548c\u5546\u5e97\u91cc\u7684\u5e94\u7528\u6570\u91cf\uff0c\u66f4\u591a\u662f\u5c1d\u9c9c\u7ea2\u5229\uff0c\u800c\u975e\u62a4\u57ce\u6cb3\u3002\n <\/p>\n<p class=\"ai-content\">\n \u8bc4\u8bba\u4e2d\u793e\u533a\u5f3a\u8c03\u7684\u201c\u70ed\u52a0\u8f7d\u201d\u548c\u201c\u672c\u5730\u8c03\u8bd5\u201d\u4f53\u9a8c\u6539\u8fdb\u624d\u662f\u771f\u6b63\u7684\u786c\u9aa8\u5934\u3002Web \u5f00\u53d1\u8005\u4e60\u60ef\u4e86\u6210\u719f\u7684 HMR \u5de5\u4f5c\u6d41\uff0c\u4f46 MCP \u5e94\u7528\u5f00\u53d1\u6b64\u524d\u8fd8\u505c\u7559\u5728\u201c\u6539\u4ee3\u7801-\u91cd\u542f-\u5237\u65b0\u201d\u7684\u539f\u59cb\u793e\u4f1a\u3002Skybridge \u628a\u524d\u7aef\u5de5\u7a0b\u5316\u7684\u6210\u719f\u7ecf\u9a8c\u642c\u8fdb\u8fd9\u4e2a\u65b0\u9886\u57df\uff0c\u5bf9\u63d0\u5347\u5f00\u53d1\u6548\u7387\u662f\u5b9e\u6253\u5b9e\u7684\u8d21\u732e\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u98ce\u9669\u4e5f\u5f88\u660e\u663e\uff1a\u8fc7\u5ea6\u62bd\u8c61\u53ef\u80fd\u5bfc\u81f4\u5f00\u53d1\u8005\u88ab\u9501\u5b9a\u5728\u5176\u751f\u6001\u4e2d\uff0c\u4e00\u65e6\u67d0\u4e3b\u673a\u63a8\u51fa\u66f4\u5e95\u5c42\u3001\u6027\u80fd\u66f4\u4f18\u7684\u539f\u751f API\uff0c\u7ed5\u8fc7 Skybridge \u76f4\u63a5\u8c03\u7528\u53ef\u80fd\u6210\u4e3a\u6700\u4f18\u89e3\u3002\u6b64\u5916\uff0c\u8bc4\u8bba\u533a\u5bf9\u201c\u6d4b\u8bd5\u4e00\u81f4\u6027\u201d\u7684\u8ffd\u95ee\u5341\u5206\u7280\u5229\u2014\u2014\u4e0d\u540c\u4e3b\u673a\u5bf9\u6388\u6743\u548c\u4e0a\u4e0b\u6587\u7684\u89e3\u91ca\u5404\u5f02\uff0c\u6846\u67b6\u80fd\u5426\u63d0\u4f9b\u771f\u6b63\u7684\u201c\u4e00\u6b21\u901a\u8fc7\uff0c\u5230\u5904\u8fd0\u884c\u201d\u4ecd\u6709\u5f85\u9a8c\u8bc1\u3002\u603b\u4f53\u800c\u8a00\uff0cSkybridge \u662f\u4e00\u4e2a\u53ca\u65f6\u7684\u5546\u4e1a\u8d4c\u6ce8\uff0c\u4f46\u5b83\u66f4\u50cf\u4e00\u4e2a\u201c\u9002\u914d\u5668\u4e2d\u95f4\u4ef6\u201d\uff0c\u800c\u975e\u4e00\u4e2a\u4e0d\u53ef\u66ff\u4ee3\u7684\u6280\u672f\u5e73\u53f0\u3002\u5bf9\u4e8e\u5e0c\u671b\u5feb\u901f\u8bd5\u6c34 MCP \u5e94\u7528\u7684\u4e2a\u4eba\u6216\u5c0f\u56e2\u961f\uff0c\u5b83\u6781\u5177\u5438\u5f15\u529b\uff1b\u4f46\u5bf9\u4e8e\u8ffd\u6c42\u6df1\u5ea6\u96c6\u6210\u7684\u4f01\u4e1a\uff0c\u9700\u4ed4\u7ec6\u8bc4\u4f30\u5176\u957f\u671f\u6210\u672c\u4e0e\u4e0a\u5c42\u98ce\u9669\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\">Skybridge<\/span>\n <\/div>\n<div class=\"comment-content\">MCP apps are the new website: they’re real, interactive apps that run right inside AI assistants like ChatGPT and Claude. The tooling to build them didn’t exist, so we built it. Meet Skybridge, the React framework that handles the infrastructure and the dev loop so you can focus on your features: MCP server, view rendering, client compatibility, testing tunnel, and more. Code once, ship everywhere. Already +500K downloads and dozens of apps in the stores!<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>\ud83d\udc4b Hey Product Hunt!<\/p>\n<p>The internet is going headless. More and more, people don’t open a website or an app, they just ask an assistant. That’s making MCP Apps the new UI: real, interactive apps that run right inside Claude, ChatGPT and the rest. We think it’s one of the biggest shifts in how software gets built and used right now.<\/p>\n<p>While building these apps at Alpic, we kept hitting the same wall: every host (Claude, ChatGPT, Cursor\u2026) has its own quirks, and writing the plumbing to support all of them is painful. So we built <strong>Skybridge<\/strong>. It is an open-source<strong> <\/strong>framework to build MCP apps, from idea to the official app stores. Code once, ship everywhere.<\/p>\n<p>It abstracts away the implementation differences, so your app runs the same in Claude, ChatGPT, VS Code and any MCP-compatible client. It bundles a full local emulator, Hot Module Reload and an instant tunnel to connect your local app to Claude and ChatGPT. Agents are first-class users too: Skybridge gives your coding agent everything it needs to build an MCP app end-to-end.<\/p>\n<p>Want proof the hard parts work? Have a look at our <a href=\"https:\/\/www.skybridge.tech\/showcase\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">showcase page<\/a>. You’ll find many of the apps the community and us made with Skybridge and published to the stores. Skybridge already powers dozens of apps live in the stores.<\/p>\n<p>What’s happening in the MCP world right now is wild, and we can’t wait to see what you build with it \ud83d\udcab<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>19<\/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\/@julienvallini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@julienvallini<\/a> Congratulations on the launch! \ud83d\ude80 The transition from “chatting with an API” to interacting with actual UI-driven MCP apps is exactly where the AI ecosystem is heading<\/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\/@julienvallini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@julienvallini<\/a> this is actually a pretty big shift if MCP apps keep going in this direction \ud83d\ude80<\/p>\n<\/p>\n<p>the \u201cbuild once, run across Claude, ChatGPT, VS Code, etc.\u201d problem is real \u2014 every platform feels slightly different in practice, and the glue code becomes the real product pain<\/p>\n<\/p>\n<p>one thing I\u2019m curious about: when you abstract all these runtimes into one framework, what tends to break first in the real world? is it tool compatibility, auth flows, streaming behavior, or just subtle UX differences between clients?<\/p>\n<\/p>\n<p>also love the idea of agents being first class users \u2014 that feels like where things are naturally heading<\/p>\n<\/p>\n<p>excited to see what people build with 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<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@julienvallini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@julienvallini<\/a> How are you thinking about testing parity across hosts like Claude, ChatGPT, and VS Code when each one interprets context and permissions a little differently?<\/p>\n<\/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>\ud83d\udc4b Hey Product Hunt! I’m Fred, co-founder and CTO of Alpic, and core maintainer of Skybridge!<\/p>\n<p>When ChatGPT Apps launched in October 2025, the OpenAI Apps SDK was just a page of documentation. No runtime, no tooling, nothing. So we built the missing SDK ourselves. That was Skybridge, day one.<\/p>\n<p>But the deeper frustration was the feedback loop. Hot Module Reload, instant iteration, host context mocking (like locale, theme, or screen size), things web developers have taken for granted for a decade, mostly natively supported in modern browsers, simply didn’t exist for AI Apps. Every change meant a full restart, a metadata refresh, and manually reconnecting to your conversational agent. The stack was brittle at best. When your feedback loop takes ages, you stop experimenting. You stop building.<\/p>\n<p>So the DevTools became a core pillar of Skybridge: a local-only environment where you can iterate freely on your app before ever connecting it to Claude or ChatGPT. Tight loop, no friction.<\/p>\n<p>Fully open-source. Because foundational tooling for this new layer of the web should be built in the open.<\/p>\n<p>Since then, we’ve seen the number of apps built with Skybridge skyrocket! We’ve made the DevTools both human- and agent-friendly, enabling development loops we couldn’t have even dreamed of 6 months ago. Can’t wait to see what experiences people will bring to life with Skybridge.<\/p>\n<p>If you want to give it a go yourself, check out our <a href=\"https:\/\/docs.skybridge.tech\/quickstart\/create-new-app\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">getting started guide<\/a>!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>14<\/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\/@fredisterik\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fredisterik<\/a> Product looks really well made for developers! I can’t wait to test it \ud83d\udcaa<\/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\/@fredisterik\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fredisterik<\/a> Alpic is definitely a game-changer, enabling any company to sell to 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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Huge\ud83d\udc4f congrats <a href=\"https:\/\/www.producthunt.com\/@julienvallini\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"julienvallini\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@julienvallini<\/a> on the release, the headless web framing is spot on. love it’s a open source, qq. do we have to deploy to alpic cloud to get the store auditing features or can we run the full beacon compliance scan locally via the cli?<\/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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>Hey <a href=\"https:\/\/www.producthunt.com\/@priya_kushwaha1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@priya_kushwaha1<\/a>, thanks for the support! \ud83d\ude42<br \/>Your MCP server doesn’t need to be hosted on Alpic to run the compliance check. Any public MCP server can be audited, wherever it’s hosted.<\/p>\n<p>If you want to give it a try : <a href=\"https:\/\/beacon.alpic.ai\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/beacon.alpic.ai\/<\/a><\/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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Thanks for the release! I have been using Skybridge to develop a few apps and v1 has made it a breeze, especially with the new devtools UI !<\/p>\n<\/p>\n<p>Shoutout to the team who made it happen ! <\/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>Thanks <a href=\"https:\/\/www.producthunt.com\/@valentin_beggi1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@valentin_beggi1<\/a> , the team really appreciate his work being acknowledged. Can’t wait to see what you build with Skybriddge!<\/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 no developer but with Skybridge I was able to build and launch an app myself.<\/p>\n<\/p>\n<p>It made it very easy, there is a lot of guidance, but what impressed me most is how quickly you can go from an idea to a working app. Less time wrestling with setup, more time testing and shipping.<\/p>\n<\/p>\n<p>Huge credit to the team for making something powerful without making it complicated!<\/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=\"comment-item\">\n<div class=\"comment-content\">\n<p>One challenge I’ve seen with MCP apps is maintaining a consistent UX across different hosts. How much control does Skybridge give developers over host-specific behavior when they actually want to customize the experience?<\/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>Hey @yagnaveena , thanks for your question. Skybridge provides low-level API access to host-specific implementations in order to still be able to customize app based on a specific host. You can for exemple use both <a href=\"https:\/\/docs.skybridge.tech\/api-reference\/use-apps-sdk-context\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">useAppsSdkContext<\/a> and <a href=\"https:\/\/docs.skybridge.tech\/api-reference\/use-mcp-app-context\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">useMcpAppContext<\/a> to customize your app based on host protocol. <\/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>We use this framework as well at Noodle Seed.<br \/>Love the dev tooling and all the conveniences it has!<br \/><a href=\"https:\/\/www.producthunt.com\/products\/skybridge\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"skybridge\" target=\"_blank\" rel=\"noopener\">@Skybridge<\/a> is amazing!<\/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\/@fahd_rafi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fahd_rafi<\/a> Thanks for your kind feedback ! From the #1 of developers in the ChatGPT store \ud83d\udd25<\/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\/@fahd_rafi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fahd_rafi<\/a> Thanks for the kind word! It has been a pleasure working with your teams!<\/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>Just tried and it’s amazing ! Will be using it across our companies at Hexa ! <\/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\/@mvaxelaire\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mvaxelaire<\/a> Thank you so much Matthieu \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<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>Thanks <a href=\"https:\/\/www.producthunt.com\/@mvaxelaire\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mvaxelaire<\/a> , shipping MCP app as the interface is the way to go for businesses built in 2026, happy to hear companies at Hexa building on that space \u2764\ufe0f<\/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! \ud83d\ude80 Love your take: we need better tooling to build MCP apps. A React framework that handles the MCP server, rendering, client compatibility, and testing so you can just focus on features is exactly what builders need. Excited to build with it!<\/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>Awesome to here <a href=\"https:\/\/www.producthunt.com\/@louislecat\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@louislecat<\/a> ! Thanks for your support \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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch team! We use Skybridge to power our upcoming MCP server, it really gave us a speed boost to get everything up and running quickly and the DX is best-in class \ud83d\udc4f<\/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>Thanks <a href=\"https:\/\/www.producthunt.com\/@phacks\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@phacks<\/a> , so thrilled to hear you’re using Skybridge to power your server \ud83d\ude4c! Can you share more on what this server powers? Let us know if you found any quirks worth working to keep on improving user experience \ud83d\ude09 <\/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>Congrats on the launch, amazing product !<\/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>Thanks <a href=\"https:\/\/www.producthunt.com\/@dcj_cabete\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dcj_cabete<\/a> , your support means a lot! Loved your recent server launch on Siit \ud83d\ude09<\/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>I’ve used Skybridge to build an MCP app for ChatGPT. Definitely the best OSS solution out there!<\/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\/@zoltanszogyenyi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zoltanszogyenyi<\/a> Thanks so much, Zolt\u00e1n. Means a lot coming from the Flowbite team. Stoked you shipped an MCP app for ChatGPT with Skybridge, looking forward to seeing the next awesome stuff you build! \ud83d\ude80<\/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>Thanks <a href=\"https:\/\/www.producthunt.com\/@zoltanszogyenyi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zoltanszogyenyi<\/a> , thrilled to hear you’ve been delighted using Skybridge! Your support means a lot to us! Love what you’re doing as well with typeUI \ud83d\ude09<\/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>Congrats for the launch !! It has been super cool to build with Skybridge. The hot reload module is absolutely nuts!<\/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\/@kevin_gauthier2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@kevin_gauthier2<\/a> glad to head you loved building with Skybridge \u2764\ufe0f<\/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\/@kevin_gauthier2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@kevin_gauthier2<\/a> Great to hear you like it !<\/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>Congrats guys!! <\/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\/@matteo8p\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@matteo8p<\/a> ! Your support means a lot !<\/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\/@matteo8p\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@matteo8p<\/a> Thanks \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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Very interesting the core concept here. The biggest bottleneck with bridge\/integration tools is usually maintaining stable connections when the underlying third-party APIs update or throttle. Have you built a custom webhook fallback system to handle those latency drops, or are you relying on standard polling? Congrats again on the launch!<\/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>Hey <a href=\"https:\/\/www.producthunt.com\/@konstant_gk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@konstant_gk<\/a> , thanks for your message :)!<\/p>\n<p>Just to make sure I understood correctly, you mean ChatGPT underlying API, or Claude underlying API powering this kind of new surface?<\/p>\n<p>If that’s the case, the API is documented and local only: MCP app interact with their host using iFrame post messages on Claude, and global window property on ChatGPT. Those API are synchronous, provided by the browser (that act as the interface layer) and do not require them to be based on webhook or pooling mechanism. <\/p>\n<p>If not, let me know which API you were referencing instead here \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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congratulations on the launch of Skybridge! How are you handling the identity building blocks involved in this? MCP auth spec, credential storage, etc.?<\/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\/@abhishekiyer52\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abhishekiyer52<\/a> we rely on the standard ts mcp sdk for low-level protocol spec, and have built vendor-specific providers to make it super easy to integrate your favorite Idp. Descope is one of them!<\/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\/@abhishekiyer52\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"abhishekiyer52\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abhishekiyer52<\/a> Hey Abhishek, authentication has notoriously been one of the hardest parts of building an MCP app, and making it as smooth as possible is definitely part of the Skybridge mission. So far we’d only been relying on what the official TypeScript SDK provides, but we realized that wasn’t enough. Over the last few days we’ve been working on a handful of carefully crafted branded providers to make setting up authentication almost plug-and-play for Skybridge users. This initiative will go along with a revamp of our docs, with detailed guides for the providers Skybridge supports natively. Of course, an escape hatch and the underlying SDK will still be available, so users with an exotic config can still set up authentication on their MCP server.<\/p>\n<p>I also have to mention that the Descope team has been extremely helpful in integrating it into our collection of branded providers. It’s definitely one of the smoothest integration options for our users \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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Just tried it ! The documentation and the tool is slick. <\/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\/@stan_girard\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"stan_girard\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@stan_girard<\/a> Thank you very much, Stan! The docs are actually being reworked to make them stand out even more!<\/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>Thanks <a href=\"https:\/\/www.producthunt.com\/@stan_girard\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@stan_girard<\/a> , glad you like Skybridge and its doc! Happy building!<\/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>Recently released our MCP server at CodSpeed. Didn\u2019t know about Skybridge at the time but will definitely take a look. I used <strong>@modelcontextprotocol\/server<\/strong> directly.<\/p>\n<p>Why would I gain by switching to Skybridge, what would I lose?<\/p>\n<p>And how difficult the transition would be?<\/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>Hey <a href=\"https:\/\/www.producthunt.com\/@adriencaccia\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"adriencaccia\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@adriencaccia<\/a> , great and very legitimate questions! I believe you released an MCP server that doesn’t feature apps, so you may not have run into the problems Skybridge is best at solving. If you decide that one of your MCP server’s tools should send back an App (meaning an interactive UI) along with its responses, you’ll have to build the machinery to make it work (exposing the resource, making sure the configuration is correct, etc.).<\/p>\n<p>Skybridge handles all the heavy lifting here, so you can focus on developing the app itself. We also provide devtools that are really useful for previewing an app and getting it right across all the different possible host parameters : user language, light\/dark theme, display settings, and so on. Skybridge also ships with a tunnel that lets you test your local app directly in ChatGPT\/Claude, a playground to test it against a real LLM, and an audit check that makes sure your app is properly configured for the stores (which is no trivial thing!).<\/p>\n<p>To migrate, it’s easy: just install the Skybridge skill and ask your favorite LLM to do the migration for you. Here’s the <a href=\"https:\/\/docs.skybridge.tech\/quickstart\/migrate\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">migration docs<\/a> with all the details. It works surprisingly well!<\/p>\n<p>And don’t hesitate to ping me if anything comes up!<\/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! Love seeing more tooling emerge around MCP \ud83d\ude0d<\/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\/@jontiret\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jontiret<\/a> , we keep building on that space! We got a lot in the backlog to come out soon. Stay tuned \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>Congrats on the launch. The local emulator and hot reload feel like the real unlock here, that feedback loop has been painful for everyone building around MCP. Excited to try Skybridge.<\/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\/@kar_re\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@kar_re<\/a> glad to hear your feedback on testing Skybridge. Let us know what we can do to keep on improving the dev experience for MCP apps :)!<\/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>Excellent lancement ! Le cadrage \u00ab MCP apps = nouvelle UI \u00bb est tr\u00e8s juste, et la DevTools locale r\u00e8gle exactement la douleur que je vivais (la boucle rebuild\/reconnect \u00e9tait insupportable). Petite question : quand on passe en prod, le tunnel de test laisse place \u00e0 quel mode de d\u00e9ploiement recommand\u00e9 pour un serveur MCP auto-h\u00e9berg\u00e9 ? Bravo \u00e0 l’\u00e9quipe \ud83d\ude80<\/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\/@victor_peltier\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@victor_peltier<\/a> merci pour le soutient, ca fait super plaisir \ud83d\ude42 !<br \/>En ce qui concerne le d\u00e9ploiement, un packaging Docker reste l’option la plus flexible. Un dockerfile est inclus avec le lancement d’un nouveau projet Skybridge pour permettre de d\u00e9ployer sans avoir \u00e0 se casser la t\u00eate sur ce sujet l\u00e0. On fournit aussi des options de d\u00e9ploiements vers Cloudflare et Vercel si ca matche ta stack. N’h\u00e9site pas si tu trouves pas chaussure \u00e0 ton pied et qu’il faut qu’on rajouter de nouvelles options de d\u00e9ploiements sur Skybridge<\/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>Awesome launch! I\u2019ve been trying to build with Skybridge, love the features packed inside. The shortcut to starting the tunnel right from the devtools is a banger \ud83e\udd29 Keep up the good work team!<\/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\/@jpaaax\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jpaaax<\/a> , glad to hear you love the tunnel. We’ve been struggling for soooooooo long making HMR work through a single opened tunnel with existing off the shelf solutions. Making our tunnel solution for the special needs of MCP app ecosystem was hard to build, but definitely a good move. Glad to see the community is liking it and that our efforts paid off \ud83d\ude4f!<\/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>This looks super promising, congrats on the 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>Thanks <a href=\"https:\/\/www.producthunt.com\/@amperisk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@amperisk<\/a> for your kind words :)!<\/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 Alpic and Skybridge team! We are a super happy user of Skybridge. Our MCP Apps are powered by Skybridge; it really helped us with the dev effort and to make it compatible and ready to launch in the ChatGPT and Claude App Stores. <\/p>\n<\/p>\n<p>I think MCP Apps will be a necessity for news, media, and entertainment, sports, etc. in the future. I’m excited to see what companies will do there. Do you already see cool apps in this area out there? what are the interesting features or what are the issues that you see? <\/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\/@slederer\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@slederer<\/a> Thanks for the kind words, Stefan \ud83d\ude42<\/p>\n<p>Here are a few apps that showcases interesting MCP Apps features : <br \/>– <a href=\"https:\/\/investigation-game.skybridge.tech\/try\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Murder in the Valley<\/a> : An investigation game that showcase model-side vs. user-side knowledge asymmetry<br \/>– <a href=\"https:\/\/chess.skybridge.tech\/try\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Chess App<\/a> : A chess app that features the new capability of providing tools directly from the UI and letting the agent call them<br \/>– <a href=\"https:\/\/alpix.alpic.ai\/try\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Alpix<\/a> : A game inspired by Pixel War that shows how to share realtime content (here, a canvas) between multiple users interacting with the MCP App together<\/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 local emulator with hot reload is the part that stands out to me, the rebuild and reconnect loop for MCP apps has been rough. Does the tunnel handle auth flows when testing against Claude, or is that still manual? Congrats on shipping.<\/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>Hi <a href=\"https:\/\/www.producthunt.com\/@i_sanjay_gautam\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@i_sanjay_gautam<\/a>, thanks! Glad the hot-reload loop hits home, that was exactly the pain we set out to kill. On auth, Skybridge does most of the work: it auto-adapts the OAuth metadata to the public URL (the server infers the resource origin from forwarded headers), and discovery + JWKS verification are automatic, so testing against Claude just works. The only manual bit is registering the tunnel URL as a connector and enabling DCR in your IdP. Happy to share the exact setup if useful!<\/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>Congrats on the launch. Curious when Claude supports a capability that ChatGPT doesn’t, how does Skybridge handle graceful degradation across hosts?<\/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>Hey <a href=\"https:\/\/www.producthunt.com\/@crystalmei\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@crystalmei<\/a> , thanks for your question.<\/p>\n<p>We implemented per-host implementation of each API exposed in Skybridge to build functionalities. Host that lacks specific features (like Claude missing the view state storage across conversation rendering) are shimmed with the best possible alternative (in this exemple, browser local storage API) to make it easy for developers.<\/p>\n<p>When a feature can’t be shimmed to enable similar functionality, the docs mentions it \ud83d\ude09<\/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>Congrats on the launch. The \u201cMCP apps as the new UI\u201d framing feels right.<\/p>\n<\/p>\n<p>The thing I\u2019d want standardized early is the action boundary: when an app moves from rendering UI to taking an external action, does Skybridge expose a receipt\/approval surface back to the host, or is that left to each app?<\/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>Hey <a href=\"https:\/\/www.producthunt.com\/@blah_mad\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@blah_mad<\/a>, really appreciate it!<br \/>Today the action boundary is left to each app rather than standardized by the framework. Skybridge gives you MCP tool annotations that hint side effects to the host\/model but enforce nothing. We provide a hook useRequestModal() to drive host-native confirmation surfaces from the UI though.<\/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>Hey <a href=\"https:\/\/www.producthunt.com\/@blah_mad\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@blah_mad<\/a> , thanks for your question.<br \/>Standard way to provide action to an MCP app, wether it’s directly invoked by the underlying model as part of the conversation, or through UI action taken by the user, is tool exposed by the MCP server (the “backend” of the MCP app). Each tool call response is entirely customizable using Skybridge, so you can put anything you want in the receipt\/approval sent back to the host.<\/p>\n<p>You can also use Skybridge to split between what’s shared with the model as part of this response, and what’s only shared with your UI views in order for you to update the state and reflect the action result to the user, without injecting anything in the conversational agent context. This gives you the added benefit of asymmetric information, and can be leveraged to build games for exemple, where UI and model don’t share the same knowledge \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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love the abstraction layer here. Building standard UIs while the big players fight over becoming an OS is a smart play. I haven’t tested it yet, but it’s next on my list. I’ll give it a spin soon and will definitely ship some apps once Gemini finally joins the party and opens up an app store! \ud83d\ude80<\/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\/@cerkiner\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@cerkiner<\/a> thank you for your comment! don’t hesitate to give your feedback on our Discord or direcly on our Github \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=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@cerkiner\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@cerkiner<\/a>  thanks for giving Skybridge a try! Let us know your feedbacks when you do, and share what you built on our discord!<\/p>\n<p>Gemini spark will be shipping a first closed entry App Store this summer with a first set of 30 apps, but they\u2019ll open up submissions at some point later down the road, like ChatGPT did!<\/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 “code once, ship everywhere” angle is the part that resonates \u2014 I build a lot of my own tooling on top of MCP and the host quirks between Claude and ChatGPT are exactly the kind of friction that quietly eats a weekend. The compliance-scanning piece caught my eye too; that’s not where most early frameworks put their attention. Curious how you handle host <em>capability<\/em> divergence \u2014 when one host supports a UI primitive the other doesn’t, do you degrade gracefully or gate the feature? Congrats on #1.<\/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\/@peterdigitalis\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@peterdigitalis<\/a> Yes we do provide polyfills when we can, for instance Claude doesn’t have a viewState primitive, so we implemented one that mimicks the one in ChatGPT with local storage implementation.<\/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>Thanks for your message <a href=\"https:\/\/www.producthunt.com\/@peterdigitalis\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@peterdigitalis<\/a> , glad Skybridge proposal to be the React native of AI Apps resonate with issues you’ve been dealing with.<\/p>\n<p>One example feature where host implementation diverge but where Skybridge is able to shim partially the feature is view state, which gets persisted on ChatGPT in order to be able to reconstruct any state in the rendered view that might have evolved the component during the conversation, in order to reconstruct it as it was last time the conversation was visited. Such host provided persistence mechanism is lacking from the Claude implementation. We had to rely on some tricks using navigator local storage to offer some kind of similar functionality.<\/p>\n<p>Of course not all feature can be shimmed with such tricks. ChatGPT in-house payment flow can’t be replicated as is in Claude. In such case, we only provide the API on host specific hooks included in Skybridge, and degrade gracefully when an non-compatible host is rendering the app.<\/p>\n<p>Which host divergence gave you the most headaches and you wish you had Skybridge for at the 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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>As someone who’s been creating podcasts, newsletters, social posts, and now launching a product, I’ve found the biggest challenge isn’t creating content; it’s actually staying on brand across different formats. Interesting approach. Congrats on the launch.<\/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\/@suzychase\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@suzychase<\/a> thanks for your message.<br \/>MCP App is the best way to bring your brand in AI conversation hosted on third party host like ChatGPT, Claude, Vibe… We’ve seen different approaches on UI in conversation, like A2UI that ground components catalog in host defined brand guidelines (so your app look like it’s made by the host), but those struggle with brands that want to stay visible. Can’t wait to see how the ecosystem evolve !<\/p>\n<p>Any plan on distributing some of the content you make on this new surface? You should be able to one-shot your app with Skybridge and your favorite coding agent \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<\/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\/MAKIXB6C4DMJG6\" class=\"app-title\">AgentX<\/a><\/p>\n<div class=\"one-liner\">Evaluate AI agent, pinpoint issues, and fix with one click.<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">416<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>AgentX \u662f\u4e00\u4e2a\u4e3aAI\u667a\u80fd\u4f53\u63d0\u4f9b\u7c7b\u4f3cCI\/CD\u7684\u8bc4\u4f30\u3001\u76d1\u63a7\u4e0e\u4e00\u952e\u4fee\u590d\u7684\u5e73\u53f0\uff0c\u5e2e\u52a9\u56e2\u961f\u5728\u751f\u4ea7\u73af\u5883\u90e8\u7f72\u524d\u53d1\u73b0\u5e76\u89e3\u51b3\u667a\u80fd\u4f53\u6f5c\u5728\u7684\u6545\u969c\u4e0e\u6027\u80fd\u8870\u9000\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\/c0274766-9f1d-41a3-8e28-486a5fd306c5.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\/77d4ae3b-e152-4827-92a6-eb0c61852279.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\/b9603998-119a-4cb7-8515-8d16a7d96ca2.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\/5e5198cc-1cef-493b-9cfb-7da6832c10cd.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\/0628a3a3-fd4d-4100-9c1e-7bcc954c0b6a.jpeg?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\/3499f1d3-208c-46b0-a2ac-33fcd3f229f7.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/uh9LM2ruz_E\"><source src=\"https:\/\/youtu.be\/uh9LM2ruz_E\" 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\">Analytics<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u667a\u80fd\u4f53\u8bc4\u4f30<\/span><br \/>\n <span class=\"tag\">\u53ef\u89c2\u6d4b\u6027<\/span><br \/>\n <span class=\"tag\">CI\/CD<\/span><br \/>\n <span class=\"tag\">\u6027\u80fd\u5bf9\u6bd4<\/span><br \/>\n <span class=\"tag\">\u8d28\u91cf\u95e8\u7981<\/span><br \/>\n <span class=\"tag\">\u4e00\u952e\u4fee\u590d<\/span><br \/>\n <span class=\"tag\">\u591a\u6a21\u578b\u652f\u6301<\/span><br \/>\n <span class=\"tag\">\u8d28\u91cf\u6f02\u79fb\u68c0\u6d4b<\/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\u89e3\u51b3AI\u667a\u80fd\u4f53\u8c03\u8bd5\u4e0e\u8bc4\u4f30\u75db\u70b9\u7684\u5b9a\u4f4d\uff0c\u5c24\u5176\u5173\u6ce8\u591a\u6b65\u63a8\u7406\u3001\u5de5\u5177\u8c03\u7528\u51c6\u786e\u6027\u548c\u8d28\u91cf\u6f02\u79fb\u7b49\u96be\u9898\u3002\u6838\u5fc3\u7591\u95ee\u96c6\u4e2d\u5728\uff1a\u5982\u4f55\u5904\u7406\u975e\u786e\u5b9a\u6027\u8f93\u51fa\u3001\u5982\u4f55\u8bbe\u7f6e\u8d28\u91cf\u95e8\u7981\u3001\u4e0e\u73b0\u6709\u5de5\u5177\u7684\u5dee\u5f02\u4ee5\u53ca\u662f\u5426\u652f\u6301\u5408\u6210\u7528\u4f8b\u3002\u56e2\u961f\u56de\u5e94\u5f3a\u8c03\u4e86\u805a\u5408\u8bc4\u5206\u3001\u7248\u672c\u8ffd\u8e2a\u548c\u8de8\u6a21\u578b\u5bf9\u6bd4\u7b49\u80fd\u529b\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 AgentX\u7cbe\u51c6\u5207\u4e2d\u4e86\u5f53\u524dAI Agent\u5f00\u53d1\u4e2d\u201c\u6613\u5efa\u96be\u4fe1\u201d\u7684\u6838\u5fc3\u77db\u76fe\u3002\u5176\u201cCI\/CD for AI agents\u201d\u7684\u5b9a\u4f4d\u975e\u5e38\u5de7\u5999\uff0c\u5c06\u8f6f\u4ef6\u5f00\u53d1\u4e2d\u6210\u719f\u7684\u6d4b\u8bd5\u4e0e\u53d1\u5e03\u6d41\u7a0b\u5f15\u5165\u6df7\u6c8c\u7684Agent\u4e16\u754c\uff0c\u76f4\u51fb\u201c\u770b\u4e0d\u89c1\u7684\u5931\u8d25\u201d\u8fd9\u4e00\u6700\u5927\u75db\u70b9\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u7684\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u63d0\u4f9b\u4e00\u4e2a\u7b80\u5355\u7684\u6d4b\u8bd5\u5de5\u5177\uff0c\u800c\u5728\u4e8e\u6784\u5efa\u4e86\u4e00\u5957\u201c\u53ef\u89c2\u6d4b\u3001\u53ef\u91cf\u5316\u3001\u53ef\u5f52\u56e0\u3001\u53ef\u95e8\u7981\u201d\u7684Agent\u8d28\u91cf\u4f53\u7cfb\u3002\u4ece\u8bc4\u8bba\u770b\uff0c\u56e2\u961f\u5bf9\u201c\u975e\u786e\u5b9a\u6027\u8f93\u51fa\u201d\u548c\u201c\u8d28\u91cf\u6f02\u79fb\u201d\u7b49\u68d8\u624b\u95ee\u9898\u7684\u56de\u5e94\u76f8\u5f53\u4e13\u4e1a\uff0c\u6ca1\u6709\u56de\u907fAgent\u7684\u975e\u786e\u5b9a\u6027\uff0c\u800c\u662f\u901a\u8fc7\u201c\u5e73\u5747\u5206+\u65b9\u5dee\u201d\u3001\u201c\u7248\u672c\u8ddf\u8e2a\u8d8b\u52bf\u201d\u7b49\u66f4\u52a1\u5b9e\u7684\u7edf\u8ba1\u5b66\u624b\u6bb5\u6765\u7ba1\u7406\u98ce\u9669\uff0c\u8fd9\u6bd4\u8bd5\u56fe\u8ffd\u6c42\u5b8c\u7f8e\u786e\u5b9a\u6027\u66f4\u7b26\u5408\u73b0\u5b9e\u3002\u652f\u6301\u8de8\u6a21\u578b\u6027\u80fd\/\u6210\u672c\u5bf9\u6bd4\uff0c\u5219\u5207\u4e2d\u4e86\u4f01\u4e1a\u5728\u9009\u578b\u65f6\u7684\u5b9e\u9645\u7126\u8651\uff0c\u662f\u4e00\u4e2a\u6781\u5177\u5546\u4e1a\u4ef7\u503c\u7684\u51b3\u7b56\u951a\u70b9\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u6311\u6218\u540c\u6837\u660e\u663e\u3002AgentX\u76ee\u524d\u66f4\u50cf\u4e00\u4e2a\u4e8b\u540e\u5206\u6790\u5e73\u53f0\uff0c\u800c\u201c\u4e00\u952e\u4fee\u590d\u201d\u7684\u5b9e\u9645\u843d\u5730\u80fd\u529b\u548c\u5bf9\u590d\u6742\u591aAgent\u94fe\u8def\u7684\u81ea\u52a8\u6839\u56e0\u5206\u6790\u80fd\u529b\uff0c\u624d\u662f\u5176\u62a4\u57ce\u6cb3\u3002\u6b64\u5916\uff0c\u9762\u5bf9Braintrust\u3001Arize\u7b49\u5df2\u5360\u636e\u90e8\u5206\u5fc3\u667a\u7684\u7ade\u4e89\u5bf9\u624b\uff0cAgentX\u9700\u8981\u66f4\u7a81\u51fa\u5176\u5728\u201cAgent\u534f\u540c\u5de5\u4f5c\u6d41\u201d\u548c\u201c\u7aef\u5230\u7aef\u4e1a\u52a1\u4efb\u52a1\u201d\u65b9\u9762\u7684\u6df1\u5ea6\uff0c\u800c\u975e\u505c\u7559\u5728\u5355\u4e00\u7684LLM\u8c03\u7528\u5c42\u9762\u3002\u82e5\u80fd\u5c06\u8bc4\u4f30\u4ece\u201c\u5199\u4ee3\u7801\u201d\u63a8\u5411\u201c\u5b9a\u4e49\u8d28\u91cf\u6807\u51c6\u201d\u7684\u4e1a\u52a1\u5c42\uff0c\u5b83\u6216\u80fd\u771f\u6b63\u6210\u4e3aAgent\u6784\u5efa\u7684\u6807\u914d\u57fa\u7840\u8bbe\u65bd\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\">AgentX<\/span>\n <\/div>\n<div class=\"comment-content\">Evaluate AI agents before they fail. Create test suites, run evaluations, and pinpoint issues before they reach production. AgentX provides full observability and traceability for your AI agents. AI analysis not only identifies problems but also suggests fixes-like an AI doctor for your agents. Simulate run your agents across multiple LLM providers to compare performance, cost, and latency, helping you make better decisions about which LLM to go. Run eval before deploy. Like CI\/CD for AI agents.<\/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>AI agents are getting more capable, but evaluating and debugging them is still painful.<\/p>\n<p>We built AgentX evaluation framework to help teams test, evaluate, and monitor AI agents before failures reach production.<\/p>\n<p>Think CI\/CD + observability for AI agents:<br \/>\n\u2022 Create eval suites<br \/>\n\u2022 Compare models across providers<br \/>\n\u2022 Trace failures end-to-end<br \/>\n\u2022 Get AI-powered root cause analysis and suggested fixes<\/p>\n<p>It also run on multiple Agent platform.<\/p>\n<p>Our goal is simple: help teams ship reliable AI agents with confidence.<\/p>\n<p>Would love to hear, what’s been your biggest challenge with AI agent evaluation or debugging?<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>17<\/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> Looks good! Congrats <\/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=\"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> this is honestly one of the most needed pieces in the whole AI agent stack right now!!!<\/p>\n<\/p>\n<p>building agents is getting easier but trusting them in production is still kinda scary because failures are usually invisible until a user hits them<\/p>\n<\/p>\n<p>one thing I\u2019m curious about: in your experience what is the hardest thing to evaluate properly today \u2014 multi step reasoning tool usage accuracy long running state consistency or just reproducing real world scenarios reliably<\/p>\n<\/p>\n<p>also love the CI\/CD analogy for agents that feels exactly right<\/p>\n<\/p>\n<p>excited to see where this goes \ud83d\udd25<\/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<\/p><\/div>\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> One-click fixes for pinpointed issues is solid. What was the hardest part of building the detection layer? Did you train on specific agent failure patterns or go more general?<\/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 like the “CI\/CD for AI agents” framing. <\/p>\n<\/p>\n<p>What does a failed deployment look like in AgentX? Can teams set quality thresholds that block releases?<\/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\/@polman_trudo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@polman_trudo<\/a> Exactly. Teams can define evaluation criteria and quality thresholds. If a change causes performance regressions, the evaluation can fail before deployment, similar to how software teams use automated tests to prevent bad releases.<\/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>Running the same agent across multiple LLM providers to compare cost\/latency is such an underrated feature. <\/p>\n<p>How many providers do you support right now?<\/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> Thank you Abdul. We currently support all major LLM vendors out of box (Claude, GPT, Gemini, Llama, Grok). You can also use custom LLM to provide your own base url that point to any other LLM that is not listed here.<\/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>One thing I’ve noticed is that agents often fail gradually rather than catastrophically. Can AgentX detect quality drift over time, where outputs are technically correct but becoming less useful or reliable across releases?<\/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\/@yagnaveena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@yagnaveena<\/a> Hey, thanks for the question! This is the failure mode that’s hardest to catch and most common in practice. No alerts fire, no errors surface, the agent just quietly becomes worse across versions.<\/p>\n<p>The way we handle it is version-tracked scoring. Every eval run is tied to a version, so you’re not just getting a score in isolation – you’re seeing the trend line across releases. A drop from 8.2 to 7.9 to 7.4 is invisible in any single run but obvious when you’re tracking it over time.<\/p>\n<p>The consistency metric is what catches gradual drift specifically. An agent can maintain its average score while its variance increases, meaning it’s getting less predictable even if the mean looks fine. That’s early warning before the average itself starts moving.<\/p>\n<p>And because the eval criteria stay fixed across versions, you’re comparing apples to apples. The definition of “good” doesn’t drift with the agent – so when outputs start becoming less useful, the score reflects it even if they’re technically still correct.<\/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\/@yagnaveena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@yagnaveena<\/a> <br \/>Gradual drift is often harder to catch than a clear failure.<\/p>\n<p>That\u2019s exactly the kind of thing evals should monitor across releases: not only whether the answer is technically correct, but whether it is still complete, useful, consistent, and aligned with the expected outcome.<\/p>\n<p>The idea is to compare agent versions over the same scenarios, track quality signals over time, and flag regressions before they reach users.<\/p>\n<p>So yes – quality drift, not just pass\/fail, is an important part of how we think about agent 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>Solid work! IMO the CI\/CD framing only holds if the evals are deterministic and an issue could be that agents almost never are. Are you guys gating deploys on a pass rate (like 9\/10 runs)? Thanks.<\/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> Great challenge! And you’re right that naive CI\/CD breaks down if you treat each agent run as a binary test. We don’t. <br \/>The gate sits on the aggregate, not the individual run. Each case runs multiple times, gets graded 0-10 by a panel of LLM judges, and the threshold is set on the averaged score across runs. So one off-sample nudges the average instead of flipping the gate.<\/p>\n<p>You can also track consistency explicitly – it’s one of the core metrics in the report. An agent that scores 8.0 average with low variance ships very differently from one that swings between 5 and 10. Both might have the same average but only one is actually reliable.<\/p>\n<p>So yes, closer to “9\/10 runs must score above X” than a hard pass\/fail, but applied to a distribution rather than a count.<\/p>\n<\/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\/@artstavenka1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@artstavenka1<\/a> <br \/>Great question, and yes – determinism is tricky with agents.<\/p>\n<p>We don\u2019t think about gating only as a single pass\/fail run. For agent workflows, it usually needs repeated runs and thresholds: pass rate, consistency, tool-call accuracy, and severity of failures.<\/p>\n<p>So a team might gate on something like \u201c9\/10 runs pass for critical scenarios,\u201d but also block deploys immediately for certain high-severity failures, like wrong tool usage, missing required fields, or unsafe outputs.<\/p>\n<p>The goal is not to pretend agents are deterministic – it\u2019s to measure the variance before production.<\/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>We use a mix of OpenAI, Anthropic, and Gemini models across our agent stack. Can AgentX help us decide which model works best?<\/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\/@pawel_dmochewicz\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@pawel_dmochewicz<\/a> Yes, Pawe\u0142, tanks for this question! That’s one of the core use cases. AgentX lets you simulate and evaluate your agents across multiple LLM providers, then compare performance, cost, and latency side by side. Instead of guessing which model to use, you can make data-driven decisions before deploying changes to 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>How much setup is needed to wire this into an existing agent stack? <\/p>\n<p>Is it a quick SDK drop-in or more of a real integration project?<\/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\/@amna9\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@amna9<\/a> <br \/>It’s designed to be a lightweight integration. If you already have an agent, you can connect it using our official AgentX Python SDK and start evaluating it without major changes to your existing stack. For most teams, it’s more of an SDK drop-in than a large integration project.<\/p>\n<p>The official SDK is available via <a href=\"https:\/\/github.com\/AgentX-ai\/AgentX-Python?utm_source=chatgpt.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">AgentX Python SDK GitHub<\/a>.<\/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 hierarchical team concept is what caught my attention. Most agent tools focus on a single agent, but real work usually involves multiple roles collaborating. What’s the most common agent team structure users end up creating first?<\/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> <br \/>Great question! The most common first team structure users build is a simple 3-agent hub and spoke setup – one Manager agent that reads user intent and routes to the right specialist, and 2-3 sub-agents handling specific roles like Support, Sales, or Lead Collection. <\/p>\n<p>The Manager is the key – users don’t need to know which agent to talk to, the Manager figures it out and delegates automatically. <\/p>\n<p>But teams can scale way beyond 3 agents. Many organizations end up running 10-agent teams covering full department: Sales, Support, HR, Finance, Operation, all under one orchestrating Manager. We’ve even built accounting workflows with 15+ specialized agents handling everything from invoice processing and payroll to tax calculations and compliance checks. <\/p>\n<p>The architecture stays the same regardless of size. You start small, then just keep adding specialist agents as your needs grow. <\/p>\n<p>Most popular starting points we see: <\/p>\n<ul>\n<li>\n<p>Customer Support + Sales triage team <\/p>\n<\/li>\n<li>\n<p>Content pipeline (Researcher, Writer, Editor) <\/p>\n<\/li>\n<li>\n<p>Internal ops hub (HR, Finance, IT under one Manager) <\/p>\n<\/li>\n<\/ul>\n<p>Happy to walk through how any of these are structured if helpful! <\/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>Congrats on the launch, Robin!<\/p>\n<\/p>\n<p>Are you generating synthetic test cases, or relying on real production traces? One challenge we’ve seen is that synthetic evals often miss the edge cases users actually trigger.<\/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\/@itsluo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@itsluo<\/a> We agree. Production data is usually the best source of truth. Our focus is helping teams build evals from real traces and failure cases, while also supporting synthetic generation when coverage gaps exist. The best results come from combining both approaches.<\/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>Nice idea<\/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\/@pooran_prasad_rajanna\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@pooran_prasad_rajanna<\/a> <\/p>\n<p>Thank you so much for the support, really appreciate it! \ud83d\ude4f<\/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! Curious how actionable are these suggestions when the root cause spans multiple chained agent calls?<\/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> <br \/>Thank you!<\/p>\n<p>That\u2019s exactly where suggestions need to be tied to the trace, not just the final output.<\/p>\n<p>When a failure spans multiple agent calls, the goal is to identify where the chain started drifting: bad handoff, missing context, wrong tool use, weak instructions, or a downstream interpretation issue.<\/p>\n<p>Then the fix can be targeted to that step, instead of rewriting the whole 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>The eval suite plus multi-provider simulate-run (basically CI\/CD for agents) is the part I’d wire in first \u2014 pre-prod agent debugging is exactly where I lose the most time. Where do the eval suites and traces actually live: stored per-project in AgentX’s hosted backend, or can I export\/version them in my own repo so they run in my CI? And when you simulate across LLM providers, do I bring my own keys per provider or does AgentX proxy those calls?<\/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\/@noctis06\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@noctis06<\/a> <br \/>Today, the main eval suites and traces live per project in AgentX, so teams can inspect runs, compare results, and debug failures in one place.<\/p>\n<p>Where we want this to go is exactly what you described: portable\/versionable eval artifacts that can run as part of CI, not just live in a UI.<\/p>\n<p>For provider simulation, we\u2019re designing around flexibility: teams should be able to test across providers without being locked into one setup, whether that means BYO keys or a managed\/proxied flow depending on their 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>the eval-before-deploy approach is smart. curious about one thing: how does AgentX handle evaluating agent chains where the failure point is in the handoff between agents rather than in any single agent’s output? that’s where most production issues seem to surface in multi-agent setups<\/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\/@ozandag\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ozandag<\/a> <br \/>Great question – handoffs are usually where multi-agent systems get fragile.<\/p>\n<p>We think evals need to look at the workflow boundary between agents, not just each agent in isolation: what context was passed, what task was delegated, whether the receiving agent understood it correctly, and whether the handoff produced the expected next action.<\/p>\n<p>So the failure can be flagged as a coordination issue, not incorrectly blamed on the final agent response.<\/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>Not sure if this is a naive take, but don’t braintrust, arize etc also give agentic evals, observability etc? I’ve seen brainstrust also do the CI\/CD gating, interested to know if there is a difference in the approach.<\/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\/@margharitha\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@margharitha<\/a> <br \/>The difference in our approach is that AgentX is focused on agent teams and full workflow QA, not only traces or model-level evals. We care a lot about how agents coordinate, use tools, hand off work, complete multi-step business tasks, and perform across different LLMs.<\/p>\n<p>So in many stacks this can be complementary. Our focus is the question: \u201cis this agent workflow ready to ship, and will it still work after prompt, model, tool, or workflow changes?\u201d<\/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 hardest part is turning an eval failure into an action boundary, not just a score.<\/p>\n<\/p>\n<p>For agent workflows, I\u2019d want each failed case to show which tool call or write would have happened, what state it touched, and what receipt or approval would block it next time. Are you modeling external side effects in eval cases, or mostly message\/tool correctness for 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<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> <br \/>That\u2019s a great point!<\/p>\n<p>For us, eval failures should point to the action boundary, not just a score: which tool call, write, state change, or approval step caused the risk.<\/p>\n<p>That\u2019s where agent evals become useful for real workflows, not just message quality.<\/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>Been waiting for something like this. The eval-before-deploy angle is exactly what’s missing from most agentic stacks – you can ship a beautiful agent that falls apart on edge cases nobody thought to test. Curious how you handle multi-step tool call chains where the failure happens 3-4 calls deep? That’s usually where debugging gets messy and most observability tools lose the thread.<\/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> Great question Gal. The real evaluation should always handle the complete chain of thoughts and sub-processes.<\/p>\n<p>We analyze all the data retrievals, tool uses, multi-step, and multi-agent layer. Check each one and aggregate to summarize the report.<\/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\/@galdayan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@galdayan<\/a> Exactly – that\u2019s where things get messy fast.<\/p>\n<p>For multi-step tool chains, we track the full execution path, not just the final output: each tool call, inputs, outputs, step order, and where the chain started to drift.<\/p>\n<p>So if the agent fails 3-4 calls deep, the eval should show whether it was caused by the wrong tool selection, bad parameters, incorrect interpretation of a tool result, or a later reasoning mistake.<\/p>\n<p>That\u2019s the real value of eval-before-deploy: catching hidden failures before they become production issues.<\/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\">This is such a needed tool! we work with a lot of AI agent builders and this is what is missing!!<br \/>\nCurious what your GTM roadmap is \ud83d\ude0a<\/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\/@luki_notlowkey\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@luki_notlowkey<\/a> Build AI agent is just the first step. Making sure it is good enough to use in production is the real hard part. Our goal is to provide the platform that you can confidently deploy your AI agent with peace in mind.<\/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\/@luki_notlowkey\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@luki_notlowkey<\/a> <br \/>Thank you, really appreciate it! \ud83d\ude0a<\/p>\n<p>That\u2019s exactly what we\u2019re hearing from agent builders too – the agent layer is moving fast, but the eval \/ QA layer is still missing.<\/p>\n<p>For GTM, we\u2019re starting with teams already building agents for real workflows: AI agencies, agent builders, and companies moving from prototypes to production. The focus is to make evaluation easy to plug into existing agent stacks, then expand through integrations, templates, and repeatable eval suites for common use cases.<\/p>\n<p>Would love to learn more about the types of agent builders you work with 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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Liked the \u201cmodel sovereignty\u201d point in the video – but fast-moving models are what make that tricky in practice. If evals are tuned to one version, how much actually survives updates?<br \/>Curious if switching LLMs here really transfers cleanly, or still means re-tuning the eval layer.<\/p>\n<\/p>\n<p>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\/@jared_salois\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jared_salois<\/a> Thanks! And this is a sharp one – model sovereignty is easy to claim and harder to make survive a model bump.<\/p>\n<p>What transfers cleanly is the eval definition, not the score. Your dataset: the cases, the acceptance\/rejection criteria, the expected results – is model-agnostic. It describes what “good” means for your task, and that doesn’t change when GPT or Claude ships a new version. So you don’t rebuild the eval when you switch or update a model, you re-run the same one.<\/p>\n<p>What moves is the result, and that’s the point rather than a bug. Swap the LLM, re-run, and the score tells you whether the new model holds up against your existing bar \u2014 same cases, same judges, apples-to-apples on quality, cost and latency. Model sovereignty isn’t “switch and assume it’s fine,” it’s “switch and get a measured answer.”<\/p>\n<p>The one thing you occasionally re-tune is the judge criteria, if a new model’s output style shifts enough to need tightening. But that’s a small adjustment, not a rebuild – the cases stay.<\/p>\n<\/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\/@jared_salois\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jared_salois<\/a> <br \/>Good point, and thank you!<\/p>\n<p>We don\u2019t assume evals transfer perfectly across models. That\u2019s why this layer matters.<\/p>\n<p>The eval suite should stay focused on the business task, expected behavior, required fields, tool usage, and failure cases – not one model\u2019s wording.<\/p>\n<p>Switching LLMs may still need tuning, but now you can see what changed, which scenarios still pass, and what needs fixing before deploy.<\/p>\n<p>So it\u2019s not magic transfer – it\u2019s controlled comparison instead of guessing.<\/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 Team, Interesting Product!!<\/p>\n<p>How would you compare AgentX to n8n?<\/p>\n<\/p>\n<p>Both seem to automate workflows, as a n8n user, this would help me in deciding a move.<\/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>They’re really solving two different problems, and the honest comparison lands in our favor. n8n is a great workflow automation engine – fair-code, self-hostable, integrations, and since 2.0 you can drop a LangChain-powered AI Agent node into a workflow. If your problem is connecting a lot of services into a reliable pipeline, it’s genuinely good. But its center of gravity is the workflow, with the agent as one node inside it, and it stops at “built.” It doesn’t answer the question that matters once you ship: is this agent actually doing the right thing?<\/p>\n<p>AgentX is agent-native, and the build experience reflects that. You’re not hand-wiring every branch on a canvas. The core object is a team of agents- a Manager that reads intent and delegates to specialists, with scoped roles, knowledge and structured handoffs. You get a library of ready-made agents to start from, and you can build new ones just by describing what you want in plain language. <\/p>\n<\/p>\n<p>Tooling is just as flexible: connect via MCP, use the built-in tools and integrations, or have an agent build a custom tool for you on the spot. Deterministic workflows are there too when you want hard logic – so you’re never forced into one paradigm.<\/p>\n<\/p>\n<p>Then comes the part that’s our whole reason for existing: <strong>evaluation<\/strong>. Build datasets from real cases, run your agent against them, and get graded scoring from a panel of LLM judges (0\u201310, plus optional cosine and Jaccard similarity), with consistency and variance so you know whether you’ve got a reliable agent or a coin flip. Every run is version-tracked, so you catch quality drift across releases \u2014 the slow degradation where outputs are still technically correct but quietly getting worse, which no execution log will ever surface.<\/p>\n<\/p>\n<p>You can read the full thinking process between agents, every step, every tool call and handoff, and when something breaks the AI analysis pinpoints where, why, and what to change – surfacing suggested fixes straight to the agent’s instructions and orchestration. You can even gate deploys on a quality threshold, so a regression fails before it ships. Real CI\/CD for agents, not a metaphor.<\/p>\n<\/p>\n<p>And the honest kicker: it’s not even either\/or. AgentX evals can score an agent you built in n8n too \u2014 point our eval at your n8n webhook and we call it per case, or feed us the outputs you’ve already generated. Either way you get the full judge panel and root-cause analysis on top.<\/p>\n<p>So the one-liner: n8n builds the agent, AgentX builds it, evaluates it, and makes it one you can trust in 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<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@barath_kanna_bk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@barath_kanna_bk<\/a> <br \/>Great question, thank you!<\/p>\n<p>n8n is excellent for workflow automation – connecting apps, APIs, triggers, and deterministic flows.<\/p>\n<p>AgentX is focused more on AI agent workflows: agents that can reason, use tools, collaborate with other agents, and be evaluated before deployment.<\/p>\n<p>So I\u2019d say n8n is great when you know the exact workflow upfront. AgentX is useful when the workflow needs more decision-making, natural language handling, multi-agent coordination, or testing how the agent performs across models and edge cases.<\/p>\n<p>They can also be complementary, depending on the stack.<\/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 your 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\/@karimbenkeroum\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@karimbenkeroum<\/a> 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<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@karimbenkeroum\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@karimbenkeroum<\/a> Thank you Karim, really appreciate the support! \ud83d\ude4f<\/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 build experience for agents has gotten good across the board \u2014 where I see teams get stuck is after launch: knowing whether the agent is actually doing the right thing in production. Do you surface per-conversation traces and a way to flag\/replay bad responses, or is evaluation left to the builder? That post-deploy feedback loop is usually what separates a demo agent from one people keep using.<\/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\/@mikebrandswarm\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mikebrandswarm<\/a> Hey! You’ve described exactly the gap we set out to close. You’re right that most tools drop you after deploy.<\/p>\n<p>Post-deploy every conversation is logged with full traces – per-agent steps, tool calls, the decision chain between agents. It’s not sampled, it’s everything, so you’re not hoping a bad response happened to get captured.<\/p>\n<p>Bad responses can be flagged and replayed step by step. You see the full thinking process, where the chain diverged from what you expected, and what specifically went wrong. From there the same AI analysis that runs in pre-deploy evals kicks in: root cause, suggested instruction changes, applied directly.<\/p>\n<p>The feedback loop is the point. Pre-deploy evals catch known failure modes before they ship. Post-deploy monitoring catches what real users actually trigger. Both feed back into the same eval framework, so your agent gets measurably better over time rather than just getting patched when someone complains.<\/p>\n<p>Demo to production-grade is exactly the gap we’re targeting.<\/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\/@mikebrandswarm\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mikebrandswarm<\/a> <\/p>\n<p>Totally agree – the real challenge starts after launch!<\/p>\n<p>We don\u2019t see evaluation as something that should be left entirely to the builder. The feedback loop needs to include traces, bad response review, replay, and comparison against expected behavior so teams can understand what went wrong and whether a fix actually improved the agent.<\/p>\n<p>The goal is to connect pre-deploy evals with post-deploy learning: catch regressions before release, then use real production failures to improve the eval suite over time.<\/p>\n<p>That\u2019s what turns agent QA into an ongoing system, not a one-time checklist.<\/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! observability for agents feels like an emerging category.how do you differentiate from traditional monitoring tools?<\/p>\n<p><\/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\/@fletcher_oliver\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fletcher_oliver<\/a> Thank you! Traditional monitoring tells you something broke. We tell you why, where in the chain it broke, and what to change to fix it.<\/p>\n<p>Most monitoring tools are built around infrastructure: latency, error rates, uptime. Useful, but when an agent returns a confidently wrong answer with 200ms response time and zero errors, traditional monitoring gives you a green dashboard while your users get bad outputs.<\/p>\n<p>The difference is we evaluate behavior, not just availability. Every run captures the full decision chain, thinking process between agents, tool calls, handoffs, routing decisions – scored by a panel of LLM judges against criteria you define. When something’s off you get a specific diagnosis, not a spike on a graph.<\/p>\n<p>And the loop closes automatically: suggested instruction changes applied directly to your agents, not a ticket for someone to investigate later. What does your current monitoring setup look like?<\/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\/@fletcher_oliver\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fletcher_oliver<\/a> <br \/>Thank you!<\/p>\n<p>Traditional monitoring is usually great at system signals: latency, errors, uptime, logs, costs.<\/p>\n<p>Agent observability needs a different layer: what the agent decided, which tools it used, whether the steps made sense, whether it stayed aligned with the task, and whether the final outcome was actually useful.<\/p>\n<p>For agents, \u201c200 OK\u201d does not mean the work was done correctly.<\/p>\n<p>That\u2019s where we focus: connecting traces, evaluation, and outcome quality so teams can debug and improve the agent itself.<\/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! <br \/>comparing models across providers is something many teams struggle with.which providers are currently supported?<\/p>\n<p><\/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\/@gaius_loxley\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gaius_loxley<\/a>  Thank you!<\/p>\n<p>All major providers out of the box: Claude, GPT, Gemini, Llama, Grok. And if you’re running something more custom, you can point it at any LLM via a custom base URL, so you’re not locked into the list.<\/p>\n<p>The comparison runs the same agent and eval criteria across providers simultaneously, so you’re getting apples-to-apples on quality, cost and latency – not just vibes.<\/p>\n<p>Which providers are you currently working with?<\/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\/@gaius_loxley\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gaius_loxley<\/a> <br \/>Thank you!<\/p>\n<p>Currently we\u2019re focused on being provider-agnostic rather than tied to one model family. The goal is to let teams compare agent behavior across different LLMs and decide which model is best for a given workflow.<\/p>\n<p>We support the major model\/provider setups our customers use, and we\u2019re expanding based on demand. The key is not only \u201ccan it run on provider X,\u201d but \u201cdoes the agent still complete the task reliably when provider X changes?\u201d<\/p>\n<p>Happy to share more details based on your current stack.<\/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 combination of evaluation and observability is compelling.both are essential for reliable deployments.which feature receives the strongest feedback from users?<\/p>\n<p><\/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\/@easton_carter\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@easton_carter<\/a> The root cause analysis with suggested fixes – consistently, and it’s not close. People expect a score. <br \/>They don’t expect to be told exactly which instruction caused the drift, why it caused it, and get a concrete rewrite suggestion applied directly to their agent. The first time someone sees that land on a failure they’d been chasing manually for hours, that’s usually the moment it clicks.<\/p>\n<p>The second one is tool usage validation. Teams assume if the output looks right the agent did the right thing – it often didn’t. You can set tool usage as an explicit eval criterion, so a run only passes if the agent actually called the right tool, not just returned a plausible answer. That’s caught a lot of silent failures nobody knew were happening.<\/p>\n<p>Both tie together: observability shows you what happened, root cause analysis tells you what to do about it. One without the other is half the loop.<\/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\/@easton_carter\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@easton_carter<\/a> <br \/>Great question!<\/p>\n<p>The strongest feedback is usually around eval-before-deploy: teams want confidence before pushing prompt, model, tool, or workflow changes to production.<\/p>\n<p>Observability helps you understand what happened after the fact, but evaluation gives you a way to catch regressions earlier.<\/p>\n<p>The combination is important, but the \u201ccan I safely ship this agent version?\u201d question seems to resonate the most.<\/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>Very relevant problem space.as agents gain autonomy, reliability becomes essential.what metrics do your customers care about most?<\/p>\n<p><\/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\/@luz_bidelspach\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@luz_bidelspach<\/a> Based on what we see in practice, it clusters around a few things.<\/p>\n<p>Average score and consistency across runs tend to be the starting point – not just “did it score well once” but does it score well reliably. Score variance is what tells you if you have an agent or a coin flip.<\/p>\n<p><strong>Instruction adherence<\/strong> is the one that surprises people. Teams assume their agent follows the instructions they wrote. It often doesn’t, not fully, and seeing that measured explicitly is usually a wake-up call.<\/p>\n<p><strong>Tool usage<\/strong> is the silent killer metric. An agent can return a perfectly plausible answer while having skipped the tool call it was supposed to make. Nobody catches that without explicit tracking.<\/p>\n<p>And then at the <strong>analysis level – judge agreement.<\/strong> If multiple LLM judges disagree significantly on a response, that’s a signal the behavior is borderline and needs a human call, not just an automated pass.<\/p>\n<p>The combination of those tells you whether your agent is actually reliable or just looks reliable in demos. What’s the metric you’re most nervous about 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<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@luz_bidelspach\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@luz_bidelspach<\/a> Great question.<\/p>\n<p>The metrics we see teams care about most are usually:<\/p>\n<ul>\n<li>\n<p>task completion rate<\/p>\n<\/li>\n<li>\n<p>tool \/ function call accuracy<\/p>\n<\/li>\n<li>\n<p>consistency across runs<\/p>\n<\/li>\n<li>\n<p>hallucination or missing-info rate<\/p>\n<\/li>\n<li>\n<p>performance across different LLMs<\/p>\n<\/li>\n<li>\n<p>regression rate after prompt, model, or workflow changes<\/p>\n<\/li>\n<\/ul>\n<p>For production agents, the key metric is often not just \u201cwas the answer correct?\u201d but \u201cdid the agent reliably complete the business task end-to-end?\u201d<\/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 observability angle is compelling.visibility into agent decisions is often limited.can users replay failed execution paths?<\/p>\n<p><\/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\/@daniel_harris11\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_harris11<\/a> Visibility is core to how we built this – and it goes deeper than most people expect. Visibility is core to how we built this, and it goes deeper than most people expect. <strong>Every run captures the full execution path:<\/strong> each agent step, tool call, handoff, routing decision, and the thinking process between agents. <br \/>You’re not reconstructing what happened from the final output, you’re reading the actual sequence of decisions that got you there, step by step. When something breaks the eval doesn’t just flag it – it pinpoints exactly where in the chain it went wrong, why it went wrong, and what to change. Then it automatically surfaces suggested fixes directly to the agent’s instructions and orchestration setup. Not “something drifted here,” but here’s the specific edit, ready to apply. For teams debugging multi-agent failures that used to take hours of trace-reading, that’s a pretty different world. <\/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_harris11\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@daniel_harris11<\/a> <br \/>Great question.<\/p>\n<p>Yes, replay is a key part of closing the loop. Visibility alone is useful, but teams also need to reproduce what happened, inspect the path, adjust the prompt \/ model \/ tools, and rerun the same scenario to see if the issue is fixed.<\/p>\n<p>That\u2019s where evals and observability connect: failed executions from production should become test cases, so the same mistake does not keep repeating.<\/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>Worth noting how much of the multi-agent hype so far has been more marketing than architecture the hierarchical team structure here suggests an actual systems level approach rather than just multiple LLM calls dressed up as 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@emilia_novak\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@emilia_novak<\/a> Haha this one stings a bit – but it’s fair.<\/p>\n<p>Most “multi-agent” systems are exactly what you described. A few LLM calls in a trenchcoat. The manager routes to the same prompt with slightly different context and someone puts a diagram on the landing page.<\/p>\n<p>The difference is what happens when it breaks. Real architecture gives you a clear delegation path, scoped roles, structured handoffs \u2014 so when something goes wrong you can actually find it. “Multiple LLM calls dressed up as agents” just gives you a mystery.<\/p>\n<p>The eval layer is partly how we keep ourselves honest on this. If the architecture is real, the tracing shows it. Per-agent steps, tool calls, handoffs – everything observable, not just the final output.<\/p>\n<p>Appreciate you calling it out. The hype is loud right now and the bar for what counts as “multi-agent” is embarrassingly low.<\/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\/@emilia_novak\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@emilia_novak<\/a> <br \/>Thank you, really appreciate that.<\/p>\n<p>That\u2019s been one of our core beliefs from the beginning: multi-agent systems only become useful when there is a clear structure, responsibility split, and coordination layer.<\/p>\n<p>Otherwise, it quickly becomes just multiple LLM calls without accountability.<\/p>\n<p>We think the real value is in designing agent teams more like systems: manager agents, specialized agents, clear handoffs, tool access, evaluation, and visibility into how decisions are made across 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>Agent testing is definitely becoming a bigger challenge.especially as workflows become more autonomous.what stage companies benefit most from AgentX?<\/p>\n<p><\/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\/@joshua_cooper2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@joshua_cooper2<\/a> Every stage hits a different version of the same problem.<\/p>\n<ul>\n<li>\n<p><strong>Solo builders and indie makers <\/strong>benefit earliest – the moment you’ve shipped your first agent and you’re not sure if it’s actually doing what you think, that’s when eval changes everything. You stop guessing and start knowing.<\/p>\n<\/li>\n<li>\n<p><strong>Teams building agents for their clients<\/strong> hit it even harder, because now reliability isn’t just your problem – it’s in someone else’s production environment with your name on it. Running evals before you hand over a workflow is the difference between “we deliver working agents” and “we deliver and hope.”<\/p>\n<\/li>\n<li>\n<p><strong>And enterprise? <\/strong>That’s where eval becomes a genuine competitive weapon. Complex multi-agent workflows at scale, real business outcomes riding on them \u2014 the teams that run rigorous evaluation programs end up with agents that work on a level nobody else’s do. Big datasets, multi-LLM judge panels, per-agent tracing across the whole chain. That’s not a small advantage. That’s the kind of thing that makes your AI operation the one people talk about.<\/p>\n<\/li>\n<\/ul>\n<p>What’s your current situation: building for yourself or for clients?<\/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\/@joshua_cooper2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@joshua_cooper2<\/a> <br \/>Great question!<\/p>\n<p>I think teams benefit most once they move beyond prototype\/demo stage and start putting agents into real workflows.<\/p>\n<p>That usually means:<\/p>\n<ul>\n<li>\n<p>agencies building agents for clients<\/p>\n<\/li>\n<li>\n<p>startups shipping agentic products<\/p>\n<\/li>\n<li>\n<p>internal AI teams moving pilots into production<\/p>\n<\/li>\n<li>\n<p>companies with agents using tools, APIs, or multi-step workflows<\/p>\n<\/li>\n<\/ul>\n<p>The more autonomy an agent has, the more important evaluation and visibility become.<\/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 productivity unlock from agent coordination tends to be underrated until teams hit the wall of manually stitching together single purpose bots this looks like it’s targeting exactly that pain point.<\/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\/@elsa_williams\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@elsa_williams<\/a> Exactly this – and you’ve described the wall better than most.<\/p>\n<p>Single-purpose bots are a great start until they need to talk to each other, and then the duct tape appears fast. The hierarchy is what replaces the duct tape, and once you add eval on top you actually know the whole system is working, not just the parts you tested in isolation.<\/p>\n<p>Appreciate you getting it so clearly, this is exactly the pain we’re going after.<\/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\/@elsa_williams\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@elsa_williams<\/a> <br \/>Yes, that\u2019s exactly the pain we\u2019re focused on.<\/p>\n<p>Single-purpose bots can work well in isolation, but once the workflow needs coordination, handoffs, shared context, and different responsibilities, things get messy fast.<\/p>\n<p>We believe agent teams need structure: clear roles, manager agents, specialized agents, tool access, and visibility into how the work moves across the system.<\/p>\n<p>That\u2019s where coordination starts becoming a real productivity layer, not just a collection of disconnected bots.<\/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 root cause analysis feature sounds powerful.finding the actual reason behind failures often takes hours.how accurate have the suggested fixes been in practice?<\/p>\n<p><\/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\/@joshua_martinez7\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@joshua_martinez7<\/a> Honestly this one took us by surprise too when we first started running real evals internally.<\/p>\n<p>You set your criteria, run it, and instead of digging through traces for hours you just… get told what’s wrong and what to change. Specific instruction, specific reason, suggested rewrite. The first time it pinpointed a tool call our agent was silently skipping – output looked fine, nobody would have caught it manually. That was the moment the team looked at each other and went “okay this is the thing.”<\/p>\n<p>The tool usage check is what gets people. Most teams assume if the output looks right the agent did the right thing. It often didn’t.<\/p>\n<p><strong>Bigger sample = sharper analysis.<\/strong> Three cases gives you directional signal, a few hundred gives you something you’d actually bet a production deploy on.<\/p>\n<p>What are you evaluating \u2014 single agent or a chain?<\/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\/@joshua_martinez7\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@joshua_martinez7<\/a> <br \/>We treat suggested fixes as guidance, not something to apply blindly.<\/p>\n<p>The key is finding the failure point: wrong tool, bad parameters, missing context, weak instructions, or a downstream issue.<\/p>\n<p>Then you can replay the scenario and verify whether the fix actually improved the result.<\/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\/FXYXCM6UIMQ5YE\" class=\"app-title\">Alai 2.0<\/a><\/p>\n<div class=\"one-liner\">AI design partner for presentations, social posts, and more<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">272<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Alai 2.0\u662f\u4e00\u6b3e\u4e13\u6ce8\u4e8e\u54c1\u724c\u4e00\u81f4\u6027\u7684AI\u8bbe\u8ba1\u5de5\u5177\uff0c\u901a\u8fc7\u6df1\u5ea6\u6355\u6349\u54c1\u724c\u89c6\u89c9\u7cfb\u7edf\uff08\u5b57\u4f53\u3001\u989c\u8272\u3001\u5e03\u5c40\u7b49\uff09\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u751f\u6210\u7b26\u5408\u54c1\u724c\u8c03\u6027\u7684\u6f14\u793a\u6587\u7a3f\u3001\u793e\u4ea4\u5a92\u4f53\u5e16\u5b50\u3001\u5e7f\u544a\u7b49\u89c6\u89c9\u5185\u5bb9\uff0c\u89e3\u51b3AI\u751f\u6210\u7269\u201c\u5343\u7bc7\u4e00\u5f8b\u3001\u6beb\u65e0\u54c1\u724c\u611f\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\/26040a99-e996-4534-9d76-a040da88cacd.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\/9ec2afdc-1166-4a94-ae8e-3761909e1f8e.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\/0e37f399-ba4d-413a-baab-ef3929d9a872.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\/80c393b2-9833-4558-aea0-a6c061253a08.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\/2a159b69-914e-4464-81c1-2e92fbaff6b1.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\/1a35980e-2e81-4ec3-941b-a033cb736a83.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/PW5zbsxEJbk\"><source src=\"https:\/\/youtu.be\/PW5zbsxEJbk\" 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\u8bbe\u8ba1\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u54c1\u724c\u8bbe\u8ba1\u7cfb\u7edf<\/span><br \/>\n <span class=\"tag\">\u6f14\u793a\u6587\u7a3f\u751f\u6210<\/span><br \/>\n <span class=\"tag\">\u793e\u4ea4\u5a92\u4f53\u89c6\u89c9<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1a\u7ea7\u8bbe\u8ba1<\/span><br \/>\n <span class=\"tag\">AI\u6a21\u578b\u9009\u62e9<\/span><br \/>\n <span class=\"tag\">\u54c1\u724c\u4e00\u81f4\u6027<\/span><br \/>\n <span class=\"tag\">\u624b\u52a8\u7f16\u8f91<\/span><br \/>\n <span class=\"tag\">\u7248\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\u6838\u5fc3\u63d0\u95ee\u6d89\u53ca\uff1a\u54c1\u724c\u7cfb\u7edf\u80fd\u5426\u4e25\u683c\u9501\u5b9a\uff08\u907f\u514d\u624b\u52a8\u6e05\u7406\uff09\u3001\u6570\u636e\u9690\u79c1\u4e0e\u5b89\u5168\u6027\u3001\u8de8\u56e2\u961f\u534f\u4f5c\u65f6\u8bbe\u8ba1\u7cfb\u7edf\u662f\u5426\u201c\u6f02\u79fb\u201d\u3001\u590d\u6742\u8868\u683c\/\u4eea\u8868\u76d8\u7684\u751f\u6210\u80fd\u529b\u3001\u4ee5\u53ca\u5728\u5927\u5382\uff08\u5982Claude Design\uff09\u7ade\u4e89\u4e0b\u7684\u5dee\u5f02\u5316\u3002\u521b\u4f5c\u8005\u56de\u5e94\u5f3a\u8c03\u201c\u4e0d\u8bad\u7ec3\u7528\u6237\u6570\u636e\u3001\u652f\u6301\u4f01\u4e1aDPA\u201d\u3001\u201c\u8bbe\u8ba1\u7cfb\u7edf\u53ef\u7075\u6d3b\u8fed\u4ee3\u201d\u3001\u201c\u8868\u683c\u751f\u6210\u80fd\u529b\u826f\u597d\u201d\u4ee5\u53ca\u201c\u6a21\u578b\u9009\u62e9\u81ea\u7531\u201d\u662f\u5176\u62a4\u57ce\u6cb3\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 Alai 2.0\u5207\u4e2d\u4e86\u4e00\u4e2a\u6781\u5176\u7cbe\u51c6\u4e14\u6602\u8d35\u7684\u75db\u70b9\uff1a\u4f01\u4e1a\u65e5\u5e38\u5927\u91cf\u4ea7\u51fa\u7684\u201c\u89c6\u89c9\u5783\u573e\u201d\u2014\u2014\u90a3\u4e9b\u65e2\u4e0d\u9ad8\u6548\u4e5f\u4e0d\u7f8e\u89c2\u7684PPT\u3001\u6d77\u62a5\u548c\u793e\u4ea4\u5a92\u4f53\u7269\u6599\uff0c\u672c\u8d28\u4e0a\u662f\u54c1\u724c\u8d44\u4ea7\u7684\u6d41\u5931\u3002\u5b83\u6ca1\u6709\u505c\u7559\u5728\u201c\u7528AI\u751f\u6210\u6f02\u4eae\u6a21\u677f\u201d\u8fd9\u79cd\u6d45\u5c42\u5957\u5229\uff0c\u800c\u662f\u8bd5\u56fe\u901a\u8fc7\u201c\u6df1\u5ea6\u54c1\u724c\u6355\u83b7\u201d\u5efa\u7acb\u771f\u6b63\u7684\u62a4\u57ce\u6cb3\u3002\u8fd9\u4e2a\u65b9\u5411\u5bf9\u4e86\uff0c\u4f46\u6311\u6218\u4e0d\u5c0f\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5176\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u201c\u8bbe\u8ba1\u7cfb\u7edf\u5373\u6743\u5a01\u6e90\u201d\uff0c\u901a\u8fc7\u89e3\u6790\u4f01\u4e1a\u5df2\u6709\u7684PPTX\u3001\u7f51\u7ad9\u548c\u89c4\u8303\u6587\u6863\uff0c\u5c06\u9690\u6027\u7684\u89c6\u89c9\u89c4\u5219\u663e\u6027\u5316\u3002\u4e00\u65e6\u8fd9\u4e2a\u7cfb\u7edf\u5efa\u7acb\uff0c\u540e\u7eed\u6240\u6709AI\u751f\u6210\u7269\u90fd\u80fd\u9501\u5b9a\u5728\u54c1\u724c\u6846\u67b6\u5185\uff0c\u7406\u8bba\u4e0a\u89e3\u51b3\u4e86\u201cAI\u51fa\u6d3b\u5feb\u4f46\u50cf\u522b\u4eba\u7684\u201d\u8fd9\u4e00\u5173\u952e\u77db\u76fe\u3002\u540c\u65f6\uff0c\u201c\u81ea\u5b9a\u4e49AI\u6a21\u578b\u201d\u548c\u201c\u624b\u52a8+AI\u53cc\u7f16\u8f91\u6a21\u5f0f\u201d\u8d4b\u4e88\u4e86\u7528\u6237\u5bf9\u6210\u672c\u548c\u8282\u594f\u7684\u63a7\u5236\u6743\uff0c\u8fd9\u6bd4\u90a3\u4e9b\u5c01\u95ed\u7684\u201c\u4e00\u952e\u751f\u6210\u201d\u5de5\u5177\u806a\u660e\u5f97\u591a\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u8bc4\u8bba\u4e2d\u66b4\u9732\u7684\u6df1\u6c34\u533a\u95ee\u9898\u624d\u662f\u771f\u6b63\u7684\u95e8\u69db\uff1a\u590d\u6742\u8868\u683c\/\u4eea\u8868\u76d8\u7684\u81ea\u52a8\u5316\u3001\u8de8\u56e2\u961f\u4f7f\u7528\u65f6\u7684\u7cfb\u7edf\u6f02\u79fb\u3001\u4ee5\u53ca\u6e90\u5934\u8d44\u4ea7\u672c\u8eab\u5c31\u6df7\u4e71\u65f6\u7684\u6e05\u6d17\u7b56\u7565\u3002Alai\u76ee\u524d\u7ed9\u51fa\u7684\u89e3\u51b3\u65b9\u6848\u662f\u201c\u4eba\u5de5\u5e72\u9884+\u7528\u6237\u8fed\u4ee3\u201d\u2014\u2014\u8fd9\u5f88\u8bda\u5b9e\uff0c\u4f46\u4e5f\u610f\u5473\u7740\u5b83\u79bb\u201c\u5b8c\u5168\u81ea\u52a8\u5316\u201d\u8fd8\u6709\u8ddd\u79bb\u3002\u53e6\u5916\uff0c\u6570\u636e\u9690\u79c1\u662fTo B\u5ba2\u6237\u7684\u751f\u6b7b\u7ebf\uff0c\u867d\u7136\u5f3a\u8c03\u4e0d\u8bad\u7ec3\u6570\u636e\uff0c\u4f46\u9700\u8981\u66f4\u591a\u6280\u672f\u80cc\u4e66\uff08\u5982\u672c\u5730\u5316\u90e8\u7f72\uff09\u6765\u5efa\u7acb\u4fe1\u4efb\u3002\n <\/p>\n<p class=\"ai-content\">\n \u6700\u7ec8\uff0cAlai\u7684\u80dc\u8d1f\u624b\u4e0d\u5728\u4e8e\u5b83\u80fd\u5426\u751f\u6210\u6f02\u4eae\u7684\u56fe\uff0c\u800c\u5728\u4e8e\u5b83\u80fd\u5426\u6210\u4e3a\u4f01\u4e1a\u5185\u90e8\u201c\u54c1\u724c\u4e00\u81f4\u6027\u7684\u6700\u540e\u4e00\u516c\u91cc\u201d\u7684\u57fa\u7840\u8bbe\u65bd\u3002\u5982\u679c\u80fd\u4ece\u201c\u5de5\u5177\u201d\u8fdb\u5316\u6210\u201c\u6807\u51c6\u201d\uff0c\u4fbf\u6709\u673a\u4f1a\u5728\u5de8\u5934\u78be\u538b\u524d\u7ad9\u7a33\u811a\u8ddf\u3002\u5426\u5219\uff0c\u4e00\u65e6Google\u6216Adobe\u5728\u81ea\u5bb6\u751f\u6001\u5185\u63a8\u51fa\u7c7b\u4f3c\u6df1\u5ea6\u54c1\u724c\u7ed1\u5b9a\u529f\u80fd\uff0cAlai\u7684\u751f\u5b58\u7a7a\u95f4\u5c06\u88ab\u6025\u5267\u538b\u7f29\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\">Alai 2.0<\/span>\n <\/div>\n<div class=\"comment-content\">Alai captures every little detail about your brand in a design system. Use it to create presentations, social assets, ads, or any canvas size, all perfectly on-brand. Make precise edits manually or with AI. And choose your own AI models to balance cost, quality, and latency.<\/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,<\/p>\n<p>Alai 2.0 is our biggest launch ever. Here’s what’s new:<\/p>\n<p>1. Alai’s Modern slides: Alai can <strong>capture your brand precisely<\/strong>. Upload templates, website, existing visuals and design docs. Alai creates a design system that captures everything. Starting from basics like typography, colors, and logo while also covering headers & footers, patterns, element styles, and layouts.<\/p>\n<p>2. <strong>Create any visual<\/strong>: Once your design system is set up, you can create presentations, social media posts, infographics, ads, carousels or assets in any canvas size. <\/p>\n<p>Here’s <strong>3 reasons<\/strong> why you should use Alai:<\/p>\n<p><strong>1. Brand<\/strong>: Don’t settle for generic AI slop. AI can capture your brand precisely now if the design system has all the details.<\/p>\n<p><strong>2. Control<\/strong>: You can make edits on text, images and layouts manually or using our AI agents. Every change has a version history making it easy to go back.<\/p>\n<p><strong>3. Choice<\/strong>: By default we use the top LLMs and image models. However, you can pick your own models to balance cost, quality and latency.<\/p>\n<p>We work closely with every user to make sure that they’re setup for success. Reach out to us if you need help or have any feedback.<\/p>\n<p>\ud83c\udf81 To celebrate this launch, everyone who leaves thoughtful comments gets free 1000 AI credits.<\/p>\n<\/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\/@krishna_gupta51\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krishna_gupta51<\/a> Interesting approach. I like the idea of treating the brand system as the source of truth so every presentation, ad, or social asset stays consistent. Giving users control over both manual edits and which AI models to use also adds a nice layer of flexibility.<\/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\/@krishna_gupta51\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krishna_gupta51<\/a> Right off the bat, it stands out because it cares more about matching your look than churning out cookie-cutter decks. Most tools skip branding, but this one builds around it.<\/p>\n<p>Here\u2019s something worth noticing about design systems. While plenty of AI tools create material on demand, keeping consistent fonts, spacing, structure, and look from one piece to another often breaks down quickly.<\/p>\n<p>Wondering if Alai keeps up when things get complicated. Does it stick to strict rules every time? One system running everything – slides, online updates, ads – does it hold together. Quality slipping ever so slightly. Or staying sharp across each version. Same look, same feel, no matter where it shows up. Hard to pull off, but possible. Consistency like that takes work behind the scenes. Not obvious at first glance. Yet noticeable when missing.<\/p>\n<p>Celebrations on your new start, Krishna. Curious what comes after this moment for Alai.<\/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\/@krishna_gupta51\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krishna_gupta51<\/a> As a Product Manager, I spend a lot of time putting together decks, updates, and marketing materials. Keeping everything aligned with brand guidelines can be surprisingly time-consuming. I like the focus on creating a reusable design system instead of generating one-off assets. This looks like it could save teams a lot of effort while maintaining consistency. 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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>As the world becomes full of AI slop and everything starts looking the same, we believe it’s critical to have an AI product that actually gives leverage to people and companies who truly care about everything that makes their brand unique. Alai is our attempt to build exactly that.<\/p>\n<\/p>\n<p>With Alai, the learnings compound and the AI becomes stronger with every design artifact you make. Try it out 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>10<\/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 our biggest updates ever! <\/p>\n<p>With Alai 2.0, we wanted to kill the generic AI slop. We built Modern Slides to generate stunning, eye catching slides that focus on actually conveying your message clearly, without the rigid, repetitive feel of traditional template engines<\/p>\n<\/p>\n<p>Our Design System builder ingests your master PPTX files, guidelines, or website to map out your brand\u2019s true layout patterns and card styles. You get slides that naturally stand out while keeping your authentic brand identity completely intact<\/p>\n<p>Plus, you get full manual edit control and agentic support to tweak anything on the fly. <\/p>\n<\/p>\n<p>Would love to get your feedback on what we’ve built!<\/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<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Brand-true slides, not your usual AI slop.<\/p>\n<\/p>\n<p>Point Alai at your PPTX, brand guidelines, or website, it builds a design system that captures how your brand actually looks, then creates slides, posts, carousels, or ads in any size.<\/p>\n<p>Edit by hand or with agents, full version history, your choice of models.<\/p>\n<\/p>\n<p>Would love your feedback. \ud83d\ude4c<\/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>AI makes creating things easier, but getting it to actually look like yours is usually an added task<\/p>\n<p>That’s exactly what we focused on with this update, making your designs feel like yours from the first draft<\/p>\n<p>Excited to see what you all make with it \ud83d\ude4c<\/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<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>These days, you can look at a deck and instantly tell it was made by AI. That generic AI slop immediately reduces the trust and perceived quality of the entire presentation.<\/p>\n<\/p>\n<p>Alai is built to solve exactly that.<\/p>\n<\/p>\n<p>Here’s how it works:<\/p>\n<ol>\n<li>\n<p>Upload your brand assets \u2014 brand guidelines, PowerPoint or Google Slides templates, logos, fonts, website links, and anything else that represents your visual identity.<\/p>\n<\/li>\n<li>\n<p>Alai captures your design system in depth \u2014 writing style, text highlights, headers and footers, presentation-specific patterns, decorative elements, backgrounds, textures, image treatments, and more.<\/p>\n<\/li>\n<li>\n<p>Make changes simply by prompting the agent.<\/p>\n<\/li>\n<li>\n<p>Once you’re happy, use that design system to generate presentations that look as if they were crafted by your in-house designer.<\/p>\n<\/li>\n<\/ol>\n<p>And it doesn’t stop at presentations. The same design system can be used to create social posts, infographics, documents, and other visual content \u2014 all in your brand language.<\/p>\n<p>We’d love to see what you build with Alai.<\/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=\"comment-item\">\n<div class=\"comment-content\">Most AI deck builders just spit out super generic layouts that look nothing like our actual brand guidelines. How strict is the design system lock on this? Like if we upload our specific brand colors and typography, does the AI stick to them perfectly or do we still have to do a bunch of manual cleanup?<\/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\/@sa206\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sa206<\/a> its pretty good at following brand guidelines. Colors and typography are basics which I think most tools would be able to do. However, background patterns, headers and footers, card styles, other element styles etc is where it gets really interesting. The design system is flexible enough to capture as much depth as you’d want.<\/p>\n<\/p>\n<p>Sometimes users create a few assets with the DS to get a better sense of what’s working and then they’re quickly able to iterate on the DS to fix those issues for future assets.<\/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\">@krishna_gupta51 thanks for the thoughtful response and congrats on the launch \ud83d\ude80<\/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 excited to finally share what we’ve been working on. We’ve been building Alai 2.0 for a while now, and it feels great to finally put it out there.<\/p>\n<p>With Alai 2.0, you can create presentations that actually feel like <em>your<\/em> brand. Upload your templates, website, or existing decks, and Alai builds a design system that you can use across presentations and other visual content.<\/p>\n<p>We wanted to make creating beautiful slides a lot easier without sacrificing quality, and we’re really happy to finally put it out! Hope you enjoy it, and thanks for checking us out!<\/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>Product sounds great! I have few questions – how private it is? I mean – if someone use it for creating presentation for client, using client`s brand book – is it safe to upload brandbook on site?<br \/>Also I was thinking – maybe it will be handy in the future to have some standard of uploading materials to make process more effective?<\/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\/@julia_shtogren\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@julia_shtogren<\/a> <\/p>\n<p>We don’t train on any client’s data and have covered this in our ToS.<\/p>\n<\/p>\n<p>For enterprise licenses, we also sign a Data Protection Agreement to comply with other specific requirements.<\/p>\n<\/p>\n<p>Depending on each use case, the base assets change. However, you’re right that as you use the system, you’ll know what are the right base assets to use for every client.<\/p>\n<\/p>\n<p>Feel free to email us at <a href=\"mailto:founders@getalai.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">founders@getalai.com<\/a> if you’re curious how it would for your specific workflows.<\/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>hi There! Looks like a great product! Are you concerned with other big companies owning this space? I’m thinking Claude Design or Google Pomelli here. What is your differentiator? Thanks!<\/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\/@wereframe\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@wereframe<\/a> thanks Neal!<\/p>\n<\/p>\n<p>We have 3 main differentiators:<\/p>\n<ol>\n<li>\n<p>Choice: Big competitors stick with their own models and so it limits to what the best AI can do. For example, we have the freedom to use Flash 3.0 for outlines and nano banana for images, and opus 4.8 for complex layouts etc. We also pass this freedom down to the end user as well so that they can balance cost, quality and latency. This means that you’re not locked in with 1 provider.<\/p>\n<\/li>\n<li>\n<p>Brand: Sometimes creating a DS which captures everything perfectly can be hard. Especially for larger orgs where the designs are more complex. In this case, we partner closely with them. This allows us to make their workflows faster and continuously improve the asset quality with every iteration.<\/p>\n<\/li>\n<li>\n<p>Control: The harness matters. Alai gives you a lot more manual and AI control which currently doesn’t exist in other big competitors.<\/p>\n<\/li>\n<\/ol>\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\">@krishna_gupta51 thank you for the response. I like the hands on customer service aspect; that could ultimately be a key differentiator if you\u2019re able to capitalize on that market. Good luck to you and your team!<\/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>AI design partner that actually respects your brand system and gives multiple slide options? This is what I\u2019ve been waiting for. How well does it handle complex presentations with lots of data\/visuals vs simple social posts?<\/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\/@sarveshsea\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sarveshsea<\/a> !<\/p>\n<\/p>\n<p>the AI is able to do charts and visuals well. It just needs to be captured either in the design system or prompted when generating the asset directly.<\/p>\n<\/p>\n<p>Feel free to share a specific asset with me at <a href=\"mailto:krishna@getalai.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">krishna@getalai.com<\/a> and I can show how to recreate it\/improve it on Alai<\/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 layouts consistent across different canvas sizes, like does it have reusable components or templates?<\/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\/@thamibenjelloun\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@thamibenjelloun<\/a> thanks for the question Thami!<\/p>\n<\/p>\n<p>Usually the layouts for presentations vs social media vs a report are different. The design system captures the fundamentals of the brand and how to do different kinds of elements\/patterns etc. It’s then smart enough to create the best layout depending on the canvas size.<\/p>\n<\/p>\n<p>Users also sometimes use different design systems for different canvas sizes if they are capturing very specific rules.<\/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! The thing I keep hitting with brand-capture tools is that the source assets are already a mess. Real companies have years of decks made by a dozen different people, all slightly off from the actual guideline. When you guys ingests that, does it average the noise or treat the official brand doc as the source of truth? Overall, solid work!<\/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\/@artstavenka1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@artstavenka1<\/a> thanks Art!<\/p>\n<\/p>\n<p>usually when creating the design system you want to minimize the noise and use the best assets you already have. The better the source assets, the happier you’ll be with the DS.<\/p>\n<\/p>\n<p>Once you see the first version and create a few assets, you’ll get a stronger intuition on what’s working\/what’s missing and you can go back to the DS to iterate on it for future assets.<\/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>This looks cool. Does it remember brand guidelines across different workspaces or projects?<\/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\/@dhiraj_patel5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dhiraj_patel5<\/a> thank you! Yes it does, you can create individual brand systems for different brands and workspaces.<\/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 relevant to us. We lean on multiple AI tools for decks – voice gen, images, content – and brand alignment is the one thing that never actually gets solved. <\/p>\n<\/p>\n<p>Where it really breaks down: getting this to work across different teams without templates going off the rails, access\/permissions, and edits being a pain every time.<\/p>\n<\/p>\n<p>But the worst part for us is tables and dashboards on slides. That’s a full-time designer rebuilding charts and re-pasting every number, every single time.<\/p>\n<\/p>\n<p>A few questions:<\/p>\n<p>– Does the design system actually hold up across teams, or does it drift once more people start editing?<\/p>\n<p>– How do you handle access so people can create freely but not break brand?<\/p>\n<p>– And the big one – can Alai generate brand-aligned tables and dashboards with real numbers, or is that still manual?<\/p>\n<\/p>\n<p>That last one would be a game-changer for us.<\/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\/@sanyukta_iyer\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sanyukta_iyer<\/a> thanks for the context and the questions.<\/p>\n<\/p>\n<p>Templates break because they are too generic and don’t capture the use case of the producer. Our design system captures the fundamentals of the brand in a lot more depth. This means that the AI can create for use cases that the producer wants without drifting away from brand.<\/p>\n<\/p>\n<p>Some orgs prefer to control the design system centrally and so individuals can duplicate & edit but not edit the central one. This makes sure that it does not drift.<\/p>\n<\/p>\n<p>Yes, tables and dashboards are easy for the AI to create on-brand once its captured in the design system properly.<\/p>\n<\/p>\n<p>We work closely with our partners to make sure that the design system is working end to end for all their use cases.<\/p>\n<\/p>\n<p>Would love to get on a call to learn more about your org. Here’s my calendar link: <a href=\"https:\/\/calendar.app.google\/BKsb62fkoDv8KW3b9\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/calendar.app.google\/BKsb62fkoDv8KW3b9<\/a><\/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 team! Personally, most AI tools promise a fast output but do a really basic job at staying on-brand. Excited to see if Alai can solve this for me.<\/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\/@edturn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@edturn<\/a> 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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>We produce a lot of client decks that each need to match the clients\u2019 brand. Can Alai hold multiple brands and pick per project?<\/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\/@gaharavara\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gaharavara<\/a> yes it can! You can add as many brand systems as you like and every time you create a new deck, you can pick which brand system to use.<\/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>Looks interesting, would love to try it. Is there a limit on the number of brand systems once account can hold?<\/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\/@rishabh_jain68\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rishabh_jain68<\/a> nope, no limits. You can create as many brand systems as you’d like although they do require credits.<\/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 sounds interesting! Can we use the brand systems to create decks as scale using API\/A2A?<\/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\/@miskat_haider\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@miskat_haider<\/a> currently modern decks are not supported with the API\/A2A. However, that support is coming soon.<\/p>\n<\/p>\n<p>Would love to learn more about your use case and scale so that we can reprioritize this. Feel free to share more at <a href=\"mailto:founders@getalai.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">founders@getalai.com<\/a><\/p>\n<\/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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This looks great, congrats to the Alai team! Curious: When I upload a website plus a few old decks that don’t quite agree on spacing or colour usage, how does Alai decide what the “real” brand is? Does it flag conflicts or just pick?<\/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\/@gokul_shankar1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gokul_shankar1<\/a> great question!<\/p>\n<\/p>\n<p>If some rules are missing then the design system will skip them. If they are inconsistent then Alai will make a judgement based on what will look good along all the other things and show that.<\/p>\n<\/p>\n<p>However, once you see the first version of the DS then you’ll be able to chat with the agent to iterate on it until it feels perfect.<\/p>\n<\/p>\n<p>Once you create some assets with it, you’ll get an even stronger intuition and you may go back to the DS to refine it further so that future assets come out better.<\/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>Interesting! QQ, Does exporting to PowerPoint or PDF preserve the responsive, editable vectors, or does it flat-render components into hard-to-edit images?<\/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\/@ruvik_milkis\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ruvik_milkis<\/a> Hey!<\/p>\n<p>Yes exporting to power point \/ PDF does preserve the responsive , editable vectors! <\/p>\n<p>Do give alai a shot and let us know what you think about it \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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch. Curious to know which AI model you guys offer?<\/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\/@sedlak_garges\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sedlak_garges<\/a> Thanks! <\/p>\n<p>You can generate design systems and decks with any of these models Claude Opus 4.8,Claude Sonnet 4.6<\/p>\n<p>Claude Haiku 4.5, Gemini 3.1 Pro, Kimi K2.6 and GLM 5.2<\/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 looks really polished. Quick Question.. when Alai learns a brand from a website, templates, and past decks, how does it handle cases where those assets are inconsistent or outdated?<\/p>\n<p>Does it identify the strongest recurring design patterns automatically, or can teams explicitly approve and refine the design system before it is used for new presentations?<\/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\/@nischaydhiman\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nischaydhiman<\/a> Design system is not a fixed document. We expect users to see the first version and then iterate on it.<\/p>\n<\/p>\n<p>If the initial creation is inconsistent\/incomplete then the design system will reflect that and feel inconsistent or random at places. However, you can chat with the agent to refine it based on your preferences to make sure that it’s close to what you want. <\/p>\n<\/p>\n<p>As you create more assets, you’ll want to capture even more rules in your design system to make sure that future assets cover those.<\/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><a href=\"https:\/\/www.producthunt.com\/@krishna_gupta51\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"krishna_gupta51\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krishna_gupta51<\/a> I like the focus on brand consistency here. AI design tools are useful, but they often break down when every output feels slightly off-brand. Capturing the design system first makes the workflow feel much more practical for real teams. Congratulations.<\/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\">@alpertayfurr thanks!<\/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>Finally, no more showing up to calls with awkward-looking 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">@idahansen yayy!<\/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 switching models mid-project affect the visual consistency of already-generated assets?<\/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 socials is it best for?<\/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>Just what I need for my marketing to SMBs. This is awesome. I love how it uses different models as someone who jumps between all of them for creative work. Templates are pretty useful but I wonder if there’s a way to have the agents tailor the slides to specific personas? (I.e curate the same decks for specific people)<\/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>Bring your own model is the right call. Most design tools lock you into their stack and charge you forever for it. Can it infer brand rules from existing assets or does setup need to be manual?<\/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\">#4<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/ICAKRVUKEN25TG\" class=\"app-title\">HAQQ Legal AI on Mobile<\/a><\/p>\n<div class=\"one-liner\">Bringing legal understanding to anyone with a phone<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">253<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>HAQQ Legal AI \u901a\u8fc7\u624b\u673a\u7aef\u4e0a\u4f20\u5408\u540c\u3001\u63d0\u95ee\uff0c\u5229\u7528\u201cJustinian\u00ae\u201d\u5f15\u64ce\u63d0\u4f9b\u7ed3\u6784\u5316\u3001\u5206\u53f8\u6cd5\u7ba1\u8f96\u533a\u7684\u6cd5\u5f8b\u63a8\u7406\u4e0e\u98ce\u9669\u6807\u6ce8\uff0c\u8ba9\u4efb\u4f55\u4eba\u90fd\u80fd\u4f4e\u6210\u672c\u83b7\u5f97\u4e13\u4e1a\u7ea7\u6cd5\u5f8b\u5206\u6790\uff0c\u89e3\u51b3\u666e\u901a\u4eba\u201c\u4e0d\u61c2\u6cd5\u3001\u95ee\u4e0d\u8d77\u5f8b\u5e08\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\/56844816-a3fc-4248-888f-72209b9cfc14.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\/4e806493-251a-4089-bc02-9026da6ce3e3.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\/e6272666-2c0d-4748-a96b-1730b90ae539.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\/899fcb93-3529-45b3-83d6-fb8e3f1b74df.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\/0493ec0b-163d-4722-97aa-e5b65808f70a.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\/18ed89b8-1068-4d50-93cc-100218da08e8.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\/5596c5d5-7f47-469d-9acd-b90b47d1fc4f.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=4h_iTw8yf6E\"><source src=\"https:\/\/www.youtube.com\/watch?v=4h_iTw8yf6E\" 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\">Legal<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u6cd5\u5f8bAI<\/span><br \/>\n <span class=\"tag\">\u79fb\u52a8\u7aef<\/span><br \/>\n <span class=\"tag\">\u5408\u540c\u5206\u6790<\/span><br \/>\n <span class=\"tag\">\u53f8\u6cd5\u7ba1\u8f96<\/span><br \/>\n <span class=\"tag\">\u98ce\u9669\u63d0\u793a<\/span><br \/>\n <span class=\"tag\">\u6cd5\u5f8b\u79d1\u6280<\/span><br \/>\n <span class=\"tag\">\u666e\u60e0\u6cd5\u5f8b<\/span><br \/>\n <span class=\"tag\">Justinian\u5f15\u64ce<\/span><br \/>\n <span class=\"tag\">\u7ed3\u6784\u5316\u8f93\u51fa<\/span><br \/>\n <span class=\"tag\">\u4f4e\u95e8\u69db<\/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\u6ce8\u4ea7\u54c1\u547d\u540d\uff08HAQQ\/JUST\/Justinian\uff09\u5173\u7cfb\uff1b\u8be2\u95ee\u591a\u8bed\u8a00\u5408\u540c\u652f\u6301\uff08\u56de\u590d\u79f0\u53ef\u751f\u621030+\u8bed\u8a00\u300180+\u53f8\u6cd5\u533a\u6587\u4e66\uff09\uff1b\u5173\u5fc3\u5bf9SaaS\u5408\u540c\u6761\u6b3e\uff08T&C\u3001\u9690\u79c1\u653f\u7b56\uff09\u7684\u8de8\u56fd\u5dee\u5f02\u5904\u7406\uff1b\u8ffd\u95ee\u9ad8\u98ce\u9669\u573a\u666f\u4e0b\u7684\u51c6\u786e\u6027\u4fdd\u969c\uff1b\u597d\u5947Justinian\u76f8\u6bd4\u57fa\u7840LLM\u7684\u589e\u91cf\u4ef7\u503c\uff1b\u8be2\u95ee\u652f\u6301\u7684\u6587\u4ef6\u683c\u5f0f\uff08\u5982xlsx\uff09\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 HAQQ Legal AI \u7684\u7a81\u56f4\u601d\u8def\u5f88\u6e05\u6670\uff1a\u5b83\u4e0d\u518d\u91cd\u590d\u201c\u7528\u5927\u6a21\u578b\u5f53\u5f8b\u5e08\u201d\u7684\u65e7\u5267\u672c\uff0c\u800c\u662f\u5c06\u201c\u6cd5\u5f8b\u7ed3\u6784\u5316\u201d\u4f5c\u4e3a\u6838\u5fc3\u58c1\u5792\u3002\u4ece\u8bc4\u8bba\u4e2d\u7528\u6237\u7684\u8ffd\u95ee\u53ef\u4ee5\u770b\u51fa\uff0c\u5e02\u573a\u5bf9\u201c\u901a\u7528LLM\u6cd5\u5f8b\u5316\u201d\u7684\u5931\u671b\u662f\u666e\u904d\u7684\u2014\u2014\u5927\u591a\u6570\u4ea7\u54c1\u53ea\u4f1a\u751f\u6210\u4e00\u6bb5\u6f02\u4eae\u4f46\u7f3a\u4e4f\u98ce\u9669\u610f\u8bc6\u7684\u6587\u5b57\u3002HAQQ\u901a\u8fc7Justinian\u5f15\u64ce\u5f15\u5165\u53f8\u6cd5\u7ba1\u8f96\u8ba4\u77e5\u548c\u98ce\u9669\u6807\u6ce8\uff0c\u76f8\u5f53\u4e8e\u7ed9\u6cd5\u5f8bAI\u88c5\u4e86\u201c\u5730\u65b9\u6cd5\u89c4\u6ee4\u955c\u201d\uff0c\u8fd9\u76f4\u63a5\u89e3\u51b3\u4e86\u4e2a\u4eba\u4e0e\u4f01\u4e1a\u6700\u6015\u7684\u201c\u8de8\u5730\u533a\u6cd5\u5f8b\u76f2\u533a\u201d\u95ee\u9898\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u547d\u540d\u4e0a\u7684\u6a21\u7cca\uff08HAQQ\u3001JUST\u3001Justinian\u5e76\u5b58\uff09\u53ef\u80fd\u9020\u6210\u8ba4\u77e5\u6469\u64e6\uff0c\u4f46\u80cc\u540e\u7684\u6218\u7565\u610f\u56fe\u503c\u5f97\u80af\u5b9a\uff1aHAQQ\u662f\u9762\u5411C\u7aef\u7528\u6237\u7684\u201c\u79fb\u52a8\u5165\u53e3\u201d\uff0c\u800cJustinian\u624d\u662f\u771f\u6b63\u7684\u6280\u672f\u4e2d\u53f0\u3002\u8fd9\u79cd\u5206\u5c42\u8bbe\u8ba1\u7ed9\u4e86\u672a\u6765B\u7aefAPI\u5316\u5f88\u597d\u7684\u4f38\u7f29\u6027\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4e0d\u8fc7\uff0c\u5173\u952e\u6311\u6218\u5728\u4e8e\u4fe1\u4efb\u6784\u5efa\u3002\u6cd5\u5f8b\u573a\u666f\u7684\u5bb9\u9519\u7387\u6781\u4f4e\u2014\u2014\u4e00\u4e2a\u9519\u8bef\u7684\u98ce\u9669\u5224\u65ad\u53ef\u80fd\u76f4\u63a5\u5bfc\u81f4\u7528\u6237\u635f\u5931\u3002\u8bc4\u8bba\u4e2d\u201cwrong answer does real damage\u201d\u7684\u63d0\u95ee\u76f4\u6307\u6838\u5fc3\u3002\u76ee\u524d\u7684\u56de\u7b54\uff08\u5982\u201c30+\u8bed\u8a00\u5408\u540c\u751f\u6210\u201d\uff09\u5e76\u672a\u6b63\u9762\u56de\u5e94\u51c6\u786e\u7387\u4fdd\u969c\u673a\u5236\u3002\u5982\u679cHAQQ\u4e0d\u80fd\u5c55\u793a\u51fa\u7ecf\u5f97\u8d77\u80cc\u4e66\u7684\u9519\u8bef\u7387\u6570\u636e\u6216\u884c\u4e1a\u8ba4\u8bc1\uff0c\u5b83\u5f88\u53ef\u80fd\u53ea\u80fd\u5728\u201c\u8f7b\u54a8\u8be2\u201d\u5c42\u9762\u505c\u7559\uff0c\u96be\u4ee5\u7a81\u7834\u9ad8\u4ef7\u503c\u51b3\u7b56\u94fe\u3002\u6b64\u5916\uff0c\u5bf9\u4e2d\u5c0fSaaS\u56e2\u961f\u6240\u9700\u7684\u5408\u540c\u6761\u6b3e\u8de8\u56fd\u5408\u89c4\u652f\u6301\uff0c\u76ee\u524d\u62ab\u9732\u7684\u4fe1\u606f\u4ecd\u663e\u7b3c\u7edf\uff0c\u8fd9\u662fB\u7aef\u4ed8\u8d39\u610f\u613f\u7684\u5173\u952e\u5206\u6c34\u5cad\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u7684\u6765\u8bf4\uff0cHAQQ\u65b9\u5411\u6b63\u786e\u3001\u6280\u672f\u5dee\u5f02\u5316\u660e\u663e\uff0c\u4f46\u201c\u666e\u60e0\u6cd5\u5f8b\u201d\u7684\u5b8f\u5927\u6545\u4e8b\u8fd8\u9700\u66f4\u4e25\u8c28\u7684\u843d\u5730\u8bc1\u660e\u2014\u2014\u5c24\u5176\u662f\uff0cAI\u7ed9\u51fa\u7684\u98ce\u9669\u6807\u8bb0\uff0c\u5230\u5e95\u662f\u201c\u63d0\u9192\u201d\uff0c\u8fd8\u662f\u201c\u514d\u8d23\u58f0\u660e\u201d\uff0c\u7528\u6237\u9700\u8981\u66f4\u660e\u786e\u7684\u7b54\u6848\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\">HAQQ Legal AI on Mobile<\/span>\n <\/div>\n<div class=\"comment-content\">We built HAQQ because understanding legal situations shouldn\u2019t depend on who you know or whether you can afford to \u201cjust ask a lawyer.\u201d Today, HAQQ Legal AI is available on mobile. Upload a contract. Ask a legal question. Get structured, jurisdiction-aware legal work with risk flags and exportable outputs. Not generic chat. Legal reasoning powered by Justinian\u00ae. Know exactly where you stand, wherever you are.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Most AI tools optimize for answers.<br \/>\nLegal work requires structure.<br \/>\nWhen you ask a generic chatbot to analyze a contract, you get commentary.<\/p>\n<p>When you use JUST, you get a formatted risk memo you can export.<\/p>\n<p>We built JUST because legal drafting shouldn\u2019t cost $300\/hour for a first draft.<\/p>\n<p>It should start structured.<\/p>\n<p>Happy to answer anything today.<\/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\/@stephane_boghossian\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@stephane_boghossian<\/a> Quick question on naming: your comment mentions JUST and Justinian, but the listing is HAQQ. Are these all the same product, or is JUST a specific feature? I genuinely wasn’t sure after reading. <\/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>Loving the focus on lowering the barrier to entry for legal clarity. access to justice is a real mess for small teams and freelancers qq. how does it handle multi-language contracts? <a href=\"https:\/\/www.producthunt.com\/@stephane_boghossian\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"stephane_boghossian\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@stephane_boghossian<\/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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>that’s right!<a href=\"https:\/\/www.producthunt.com\/@vikramp7470\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vikramp7470<\/a> Justinian can generate 30+ language contracts tapping into 80+ jurisdiction ! <\/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\">Interesting! I have seen one of my acquaintance also also build an agent to help people talk legalese.<br \/>\ndo you also support contracts, TnC, Privacy policies, Refund policies for SaaS while being aware of differences in laws of different countries?<\/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>Love seeing legal access pushed down to “anyone with a phone.” I work in fraud\/scam protection and the hardest part for victims is almost never the law itself \u2014 it’s not knowing they <em>have<\/em> options, or being too ashamed to ask. Curious how you’re handling the trust\/accuracy bar on high-stakes questions where a wrong answer does real damage. Congrats on shipping.<\/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>Everyone’s tried to make a base LLM a lawyer. Everyone knows how that goes.<\/p>\n<p>Jurisdiction-aware reasoning with risk flags is a different thing entirely. What does Justinian actually add on top of a base model?<\/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 UX looks fantastic! I double down on <a href=\"https:\/\/www.producthunt.com\/@vikramp7470\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"vikramp7470\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vikramp7470<\/a> , lower the barrier to entry for legal clarity is great.<\/p>\n<p>What document types does it handle beyond PDF? Could I attach an xlsx for example?<\/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\">#5<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/STOAZFU5CH6INJ\" class=\"app-title\">readywhen<\/a><\/p>\n<div class=\"one-liner\">Your 24\/7 AI Chief of Staff for commitments and follow-ups<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">216<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>readywhen\u662f\u4e00\u6b3e24\/7\u5168\u5929\u5019AI\u201c\u5e55\u50da\u957f\u201d\uff0c\u81ea\u52a8\u6355\u83b7\u5e76\u8ddf\u8fdb\u7ba1\u7406\u7528\u6237\u6563\u843d\u5728Slack\u3001\u90ae\u4ef6\u3001\u4f1a\u8bae\u548c\u6587\u6863\u4e2d\u7684\u627f\u8bfa\u4e0e\u884c\u52a8\u9879\uff0c\u89e3\u51b3\u521b\u59cb\u4eba\u3001\u9886\u5bfc\u8005\u5728\u8de8\u5e73\u53f0\u534f\u4f5c\u4e2d\u627f\u8bfa\u9057\u6f0f\u548c\u8ddf\u8fdb\u8d1f\u62c5\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\/5fe5da69-b1bf-4c38-a5f5-6068c2c99ac9.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\/6269a440-662f-486e-834c-4e126fdb0ff6.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\/9bc254e7-72e2-44a3-9d2e-1f5b250e46d1.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\/c5855126-4a1f-4572-947a-9faa88f166fa.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\/d228d47f-06c4-4970-9790-a8388d4e9a69.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\/a5335ef0-c1fe-4bac-ac33-026871388c06.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\/2655b9c2-3834-4b8f-928d-6ba13c9d3678.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\/76c35dfd-2cac-48d2-86a7-794d5ceb6fe9.octet-stream?auto=format\" data-video-url=\"https:\/\/www.loom.com\/share\/cea851337d4b4127a10db230a7f50352\"><source src=\"https:\/\/www.loom.com\/share\/cea851337d4b4127a10db230a7f50352\" 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\">Task Management<\/span><br \/>\n <span class=\"tag\">Virtual Assistants<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u52a9\u7406<\/span><br \/>\n <span class=\"tag\">\u627f\u8bfa\u8ffd\u8e2a<\/span><br \/>\n <span class=\"tag\">\u884c\u52a8\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u4efb\u52a1\u8ddf\u8fdb<\/span><br \/>\n <span class=\"tag\">\u77e5\u8bc6\u56fe\u8c31<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u8d77\u8349<\/span><br \/>\n <span class=\"tag\">\u751f\u4ea7\u529b\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u5546\u4e1a\u667a\u80fd\u5316<\/span><br \/>\n <span class=\"tag\">\u521b\u59cb\u4eba\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u534f\u4f5c\u6548\u7387<\/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\u80af\u5b9a\u81ea\u52a8\u6355\u83b7\u627f\u8bfa\u7684\u4ef7\u503c\uff0c\u6838\u5fc3\u7591\u95ee\u96c6\u4e2d\u5728\uff1a\u5982\u4f55\u533a\u5206\u201c\u968f\u53e3\u4e00\u8bf4\u201d\u4e0e\u771f\u5b9e\u627f\u8bfa\uff1f\u5982\u4f55\u63a7\u5236\u8bef\u62a5\u548c\u4f18\u5148\u7ea7\uff1f\u9ad8\u9891\u7387\u8fd4\u56de\u8349\u7a3f\u662f\u5426\u53d8\u6210\u65b0\u8d1f\u62c5\uff1f\u56e2\u961f\u901a\u8fc7\u77e5\u8bc6\u56fe\u8c31\u548c\u53cd\u9988\u673a\u5236\u9010\u6b65\u4f18\u5316\uff0c\u4f46\u7528\u6237\u4ecd\u5173\u6ce8\u6269\u5c55\u540e\u7684\u4fe1\u4efb\u4e0e\u6548\u7387\u5e73\u8861\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 readywhen\u5207\u5165\u4e86\u4e00\u4e2a\u8db3\u591f\u5fae\u5c0f\u5374\u6781\u5176\u771f\u5b9e\u7684\u9700\u6c42\uff1a\u627f\u8bfa\u7684\u6563\u843d\u4e0e\u9057\u5fd8\u3002\u5b83\u4e0d\u662f\u53c8\u4e00\u4e2aAI\u7b14\u8bb0\u6216\u4efb\u52a1\u6e05\u5355\uff0c\u800c\u662f\u8bd5\u56fe\u6210\u4e3a\u8de8\u5e73\u53f0\u627f\u8bfa\u7684\u540e\u7aef\u201c\u8bb0\u5f55+\u9a71\u52a8\u5c42\u201d\u3002\u5176\u806a\u660e\u4e4b\u5904\u5728\u4e8e\uff0c\u4e0d\u5806\u780c\u529f\u80fd\uff0c\u800c\u662f\u805a\u7126\u201c\u6355\u83b7\u2014\u524d\u7f6e\u2014\u5ba1\u6279\u201d\u4e09\u73af\uff0c\u628aAI\u9650\u5236\u5728\u201c\u5e2e\u7528\u6237\u8d77\u8349\u201d\u800c\u975e\u201c\u4ee3\u66ff\u7528\u6237\u51b3\u5b9a\u201d\uff0c\u4ece\u800c\u964d\u4f4e\u4fe1\u4efb\u95e8\u69db\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u95ee\u9898\u4e5f\u660e\u663e\u3002\u7b2c\u4e00\uff0cAI\u5224\u65ad\u627f\u8bfa\u610f\u56fe\u7684\u80fd\u529b\u4ecd\u662f\u9ed1\u76d2\uff0c\u7528\u6237\u8bc4\u8bba\u4e2d\u591a\u6b21\u8d28\u7591\u201c\u53ef\u80fd\u201d\u4e0e\u201c\u4e00\u5b9a\u201d\u7684\u533a\u5206\uff0c\u4e00\u65e6\u8bef\u62a5\u8fc7\u591a\uff0c\u7528\u6237\u8981\u4e48\u6212\u65ad\u8981\u4e48\u9ebb\u6728\u3002\u7b2c\u4e8c\uff0c\u5982\u679c\u6bcf\u4f4d\u7528\u6237\u6bcf\u5929\u751f\u621030\u6761\u6355\u83b7\u548c30\u6761\u5f85\u5ba1\u6279\uff0c\u7cfb\u7edf\u53cd\u800c\u5236\u9020\u4e86\u65b0\u76f2\u533a\u2014\u2014\u4f60\u4ece\u6015\u6f0f\u6389\u627f\u8bfa\uff0c\u53d8\u6210\u6015\u6f0f\u6389AI\u7684\u201c\u63d0\u9192\u201d\u3002\u7b2c\u4e09\uff0c\u77e5\u8bc6\u56fe\u8c31\u548c\u6301\u7eed\u5b66\u4e60\u542c\u8d77\u6765\u5408\u7406\uff0c\u4f46\u7528\u6237\u5b9e\u9645\u6295\u5165\u7684\u201c\u6559\u80b2\u6210\u672c\u201d\u80fd\u5426\u4f4e\u4e8e\u624b\u52a8\u7ba1\u7406\uff0c\u5b58\u7591\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ef7\u503c\u4e0a\uff0c\u5b83\u662f\u5bf9\u201c\u4fe1\u606f\u5de5\u4f5c\u91cf\u9006\u589e\u957f\u201d\u7684\u4e00\u79cd\u7cbe\u51c6\u53cd\u51fb\uff1a\u5927\u591a\u6570AI\u5de5\u5177\u5728\u589e\u52a0\u901a\u77e5\u548c\u544a\u8b66\uff0c\u800creadywhen\u8bd5\u56fe\u51cf\u5c11\u7528\u6237\u5fc5\u987b\u5904\u7406\u7684\u8282\u70b9\u3002\u8fd9\u65b9\u5411\u5bf9\u3002\u4f46\u6267\u884c\u4e0a\uff0c\u5b83\u9700\u8981\u4ece\u201c\u61d2\u4eba\u7248\u5e55\u50da\u201d\u8fdb\u5316\u4e3a\u201c\u771f\u6b63\u61c2\u4f60\u7684\u5e55\u50da\u201d\uff0c\u800c\u4e0d\u662f\u628a\u5206\u6563\u7684\u627f\u8bfa\u805a\u96c6\u5230\u4e00\u4e2a\u5730\u65b9\u540e\uff0c\u4ecd\u7136\u7b49\u7740\u4f60\u9010\u4e00\u626b\u89c6\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4e00\u53e5\u8bdd\uff1a\u89e3\u51b3\u4e86\u771f\u5b9e\u95ee\u9898\uff0c\u4f46\u8ddd\u79bb\u201c\u51cf\u53bb\u601d\u8003\u201d\u800c\u975e\u201c\u96c6\u4e2d\u601d\u8003\u201d\u8fd8\u5dee\u4e00\u4e2a\u771f\u6b63\u7684\u4f18\u5148\u7ea7\u5f15\u64ce\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\">readywhen<\/span>\n <\/div>\n<div class=\"comment-content\">Your team\u2019s work lives in project management tools and CRMs. Your exec work is scattered. readywhen catches every decision and commitment across Slack, email, meetings, and docs. Without being asked, it drafts what\u2019s needed next: the brief, the email response, the update. You just approve. It’s like having your own Chief of Staff, 24\/7.<\/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 San\u00e7ar, co-founder at <strong>ready<\/strong><em>when<\/em>.<\/p>\n<p>If you’re a founder, a leader or anyone managing a team, this one’s for you. <\/p>\n<p>You end the day having said yes to twenty things. A promise on a call. An ask buried in a Slack thread. A “leave it with me” you meant at the time. By the time you sit down, half of them are gone. And the ones you remember keep you up at night.<\/p>\n<p>None of us drop the ball on purpose. There’s just no one whose job it is to catch everything. So we made it someone’s job. <strong>ready<\/strong><em>when<\/em> is your 24\/7 Chief of Staff.<\/p>\n<p><strong>What it does<\/strong><\/p>\n<ol>\n<li>\n<p>It captures what you said you’d do across email, Slack, Notion and meetings.<\/p>\n<\/li>\n<li>\n<p>Then it proactively helps to close the loop, with your full business context in mind.<\/p>\n<\/li>\n<\/ol>\n<p>The result: you stay on top of everything, and nothing slips.<\/p>\n<p><strong>Where we are today<\/strong><\/p>\n<p><strong>ready<\/strong><em>when<\/em> catches commitments wherever they’re made, then gets to work. Drafts the reply. Pulls the report. Chases the owner. Prepares the brief. Brings it back done, ready for your approval. Nothing sends without your final tap.<\/p>\n<p>It connects to the stack you already use, so it works with the full context of your business. Your people. Your projects. Your docs. The conversations you’ve already had. What it brings back isn’t generic, it’s ready to action.<\/p>\n<p>Under five minutes to set up. No prompting, no skills to build, nothing to maintain. It just runs in the background.<\/p>\n<p>Other AI tools respond when asked. <strong>ready<\/strong><em>when<\/em> acts before you ask.<\/p>\n<p>The best way to feel it is to try it yourself. It’s free for founders, leaders and team managers. No credit card.<\/p>\n<p><strong>Where we’re taking it<\/strong><\/p>\n<p>A proactive Chief of Staff that learns how you, your team and your organisation work, then spots gaps and closes them before you ask. Switch-on-in-one-click routines. Shared visibility across your whole team. And some very exciting features and capabilities designed specifically for founders and leaders. That’s what we’re building toward, and it’s close.<\/p>\n<p><\/p>\n<p>The team and I are here all day. Share your feedback, your questions, and where a dedicated Chief of Staff would have saved you this week. If you have a feature wish, I want to hear it. And if you want in, join the signup at <a href=\"https:\/\/shorturl.at\/uA9nd\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/shorturl.at\/uA9nd<\/a><\/p>\n<p>See you soon \ud83d\udc4b<\/p>\n<p>Best,<br \/>San\u00e7ar<br \/>Co-founder, <strong>ready<\/strong><em>when<\/em><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>12<\/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\/@meandering_sancar\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@meandering_sancar<\/a> I once had a colleague who would agree to things in meetings and forget half of them by the next day. This would have saved us so many follow-up messages. Does readywhen catch commitments automatically, or does the person confirm them after the call? 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=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@meandering_sancar\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@meandering_sancar<\/a> Congrats on the launch! This product would help alleviate those dropped balls, which happen waaaaaay too often when you’re juggling all the things!! You’re definitely solving a problem many of us have \ud83d\ude09<\/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\/@meandering_sancar\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@meandering_sancar<\/a> The ‘AI Chief of Staff’ angle is clever. How’d you land on this specific use case? Did you start broader with commitment tracking and narrow down, or did you validate this angle first with users?<\/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 stands out is the focus on execution rather than information overload. AI should help close loops, not create more notifications.<\/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\/@angelaaa\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@angelaaa<\/a> exactly. We want to get AI to do the stuff none of us like doing so that we can spend our time leading, building our businesses and focussing on customers and growth.<\/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>This solves a real problem. Half the commitments made in Slack threads just disappear. Curious how it tells the difference between a casual ‘yeah I’ll look into it’ and an actual commitment someone needs to follow through on.<\/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\/@kreativejosh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@kreativejosh<\/a> good question… the truth is, it’s a much deeper science than we ever realised before we got started. Luckily, our Product Lead is an Oxford University Computational Neuroscientist, so has led the way in us developing our capabilities here.<\/p>\n<p>As you say, there is a big difference between “I’ll look into it” and “I’ll do this by EoD” <\/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! The commitment detection looks like the whole ballgame. Wonder how are you guys tuning toward precision over recall? Can users teach it what isn’t a commitment? An hour of false positives and people may stop trusting the inbox. Cheers!<\/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\/@artstavenka1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@artstavenka1<\/a> greta question, and yes. A couple of things on this:<\/p>\n<p>1. <strong>ready<\/strong><em>when<\/em> doesn’t just retrieve info (like most AI tools do). It runs regular syncs, build a knowledge graph in the background, and goes through a series of filters (or dedicated agents). This filters out the noise, makes sure only actual commitments are surfaced and helps you understand what the next thing you should do is (just like a great Chief of Staff would).<\/p>\n<p>2. We don’t always get it right of course. For those moments, there is a super simple feedback mechanism which means the system continuously gets better. <\/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>Tried the product and was genuinely impressed by its capabilities. It’s already helped me keep track of my commitments. Wishing the team all the best for the launch!<\/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\/@abhishek_nellikkalaya\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abhishek_nellikkalaya<\/a> thank you for stopping by \ud83d\ude4f <\/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>This is neat. How does it handle the same commitment appearing in both email and Slack?<\/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\/@dhiraj_patel5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dhiraj_patel5<\/a> great question. We have a dedicated agent that looks for that, and then combines the commitment into just one. The fact that it appears in more than one place also informs the prioritisation agent, as often it’s a signal for higher priority 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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey PH community,<\/p>\n<\/p>\n<p>Excited to hunt <strong>readywhen <\/strong>today \ud83c\udf89 <\/p>\n<\/p>\n<p>Here’s the gap nobody talks about \ud83d\udc47<\/p>\n<\/p>\n<p>Sales got a CRM. Engineering got Jira. Support got a ticketing system. Every team’s work became trackable.<\/p>\n<p>But the person holding it all together? They got memory and willpower.<\/p>\n<\/p>\n<p>The exec layer never had a system of record. Decisions, promises, “leave it with me” moments… they live in your head until they don’t.<\/p>\n<\/p>\n<p>That’s what makes <strong>readywhen<\/strong> click for me. It catches the commitments scattered across Slack, email, meetings and docs, then quietly drafts what’s next. You just approve.<\/p>\n<\/p>\n<p>A real Chief of Staff for founders and leaders who’ve been running without one. \ud83d\ude4c<\/p>\n<\/p>\n<p>Huge respect to San\u00e7ar and the team for building this. They’re here all day, so drop your questions and feedback below \u2b07\ufe0f<\/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\/@thisiskp_\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@thisiskp_<\/a> thanks for all your support! Great to have your backing \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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I would use this to stop dropping the “leave it with me” commitments that get buried in launch-week Slack threads and community DMs. The first thing I would test is how it decides something is an actual commitment versus noise \u2014 a throwaway “we could maybe do X” should not become a tracked follow-up. When it does catch one in Slack, does it link back to the exact source message so I can verify the context before I approve the draft it writes?<\/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\/@hazy0\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@hazy0<\/a> yes! It always links back to the original source, so you can always see exactly why it was added as a commitment. We also have built a dedicated agent that filters out the noise. As you say, there is a big difference between ‘we could maybe do…’ and ‘let’s get this done’. <strong>ready<\/strong><em>when<\/em> catches those differences.<\/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>That source-link boundary is the key bit for me. If the filter can also show why something was rejected as noise, it gets much easier to trust during a launch week instead of second-guessing every captured commitment.<\/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, I’m Adam and I’m a senior engineer working on <strong>ready<\/strong><em>when<\/em>! \ud83d\udc4b<\/p>\n<\/p>\n<p>It’s been a fun ride so far getting this together, and the feedback from our initial users has been very positive and super useful – I can’t wait to see how it evolves in the next weeks and months and how people will respond to what we have planned!<\/p>\n<p>Happy to answer any questions \ud83e\udd1d<\/p>\n<\/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\/@adam_matheson\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@adam_matheson<\/a> \ud83d\ude80\ud83d\ude80\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>Congrats on the launch, sounds v helpful! How does it build an initial idea of priorities from a user’s context?<\/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\/@ferdi_sigona\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ferdi_sigona<\/a> thank you!<\/p>\n<p>And good question. In short, it build a company ‘knowledge graph’ over time. So the more you use it, the more it understand your company, projects, team, style etc. It then has persistent memory so gets better at helping you get work done.<\/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\/@ferdi_sigona\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ferdi_sigona<\/a> Congrats on the launch! \ud83d\ude80 For executives, the hardest part of the day isn’t doing the work\u2014it’s the mental load of tracking all the micro-commitments scattered across Slack threads, random emails, and meeting notes. Having an AI that proactively connects these dots and drafts the next steps without needing to be prompted is a massive win for productivity.<\/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 concept is surprisingly relatable.<\/p>\n<p>Most of us don’t forget our tasks\u2014we forget the promises and commitments we make throughout the day.<\/p>\n<\/p>\n<p>Having something that automatically keeps track of them across meetings, Slack, and email sounds incredibly useful. Looking forward to seeing how teams use this in practice.<\/p>\n<\/p>\n<p>Congrats on the launch \ud83d\udc4f\ud83d\udd25<\/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\/@suryansh_tiwari2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@suryansh_tiwari2<\/a> thank you. So many people are echoing this and honestly it’s surprising to us that it’s a problem that hasn’t been solved yet. It is 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>One of the biggest productivity killers is forgetting commitments made in meetings and chats. ReadyWhen’s approach feels like a practical solution to a very real problem<\/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\/@monir_\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@monir_<\/a> thanks. Looking forward to having you try it 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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The “nothing sends without your final tap” part makes sense, but also feels like where this could get tricky at scale. If I’m making ~30 commitments a day and getting 30 drafts back, that’s just a new backlog. How do you think about that as volume grows? Is there some triage layer, or does everything need the same level of review?<\/p>\n<p>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\/@jared_salois\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jared_salois<\/a> soon you’ll be able to hand over control to <strong>ready<\/strong><em>when<\/em> when and where you like but the default is it requires your approval.<\/p>\n<p>For example, you could say: “When a prospect below 200 employees has asked for more information, send them our info pack without my approval.”<\/p>\n<p>The way I like to explain working with <strong>ready<\/strong><em>when <\/em>is as if you onboarded a real Chief of Staff. When they start, you’ll likely want to review everything. When you’ve worked together and you trust them, you’ll start delegating.<\/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 hardest part of a Chief of Staff role isn’t capturing commitments, it’s knowing when <em>not<\/em> to follow up. How does readywhen learn a user’s working style over time so it doesn’t create unnecessary reminders or actions for low-priority commitments?<\/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\/@yagnaveena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@yagnaveena<\/a> good question. It builds a knowledge graph in the background, so the more you use it the more it knows your style, your priorities, your team and everything in between. It works like a real Chief of Staff… when you first start working with them, they won’t get everything right. As you onboard them and you work together, they’ll do a much better job.<\/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>Catching commitments where they already happen is the useful part. Most follow-ups don\u2019t fail because people need another task list, they fail because the promise gets buried. The approval step also keeps it practical.<\/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 for you! I wonder how does it handle conflicting information when the same commitment gets discussed differently across channels?<\/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>Solo founder here, no team \u2014 the balls I drop are promises to myself buried in notes and community DMs, not handoffs to other people. Does readywhen earn its keep in that single-player case, or is the real magic the cross-team follow-up chasing?<\/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 resonates – commitments scattered across Slack, email and meetings is a real pain. My hesitation is around trust. When I say “I’ll handle it” in a meeting, that often means I need to think about HOW first. An AI that proactively drafts a brief or sends a follow-up before I’ve figured out my approach could create awkward situations. How configurable is the “proactive” behavior – is there a review window before anything goes 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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>“Without being asked” is the part most tools get wrong. They wait for you to ask.<\/p>\n<\/p>\n<p>How do you keep context coherent when a decision spans weeks of Slack, email, and meetings?<\/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\/@meandering_sancar\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"meandering_sancar\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@meandering_sancar<\/a> Hello, the approval step is the part I like most here. A Chief of Staff agent should not just capture commitments and create more reminders \u2014 it should understand context, draft the next step, and know when the human needs to approve before anything moves 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<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>would use this to stop dropping the “leave it with me” commitments that get buried in launch-week Slack threads and community DMs. The first thing I would test is how it decides something is an actual commitment versus noise \u2014 a throwaway “we could maybe do X” should not become a tracked follow-up. When it does catch one in Slack, does it link back to the exact source message<\/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\/@thakur_rakesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@thakur_rakesh<\/a> yes, it always links back to the original and has a dedicated agent (that work in the background) to filter out noise. Give it a go and let me know what you think \ud83d\ude42 <\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/19c9c875-59ad-49c1-8da0-f43ac0abf429.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 idea of catching promises and surfacing them ready-to-approve is brilliant. Congrats! Does it integrate with common meeting tools like Fireflies or Otter yet?<\/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\/@sarveshsea\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sarveshsea<\/a> Fireflies is coming very soon. Otter is on the list as well. Soon it will connect with almost everything \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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The number of “yep I’ll handle that” promises I make and then lose to a Slack thread is genuinely embarrassing. So yeah, I feel personally called out here lol. Curious whether it ever gets too eager and chases stuff I didn’t really mean – but the idea’s great. <\/p>\n<p>Great idea and realisation as well. 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@oleg_tsizdyn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@oleg_tsizdyn<\/a> thank you!<\/p>\n<p>Making sure <strong>ready<\/strong><em>when<\/em> filters out the noise and only gives you what is truly something that needs action is a big part of it. Of course, it doesn’t always get it right but we make it really easy to provide feedback and that makes it better every day.<\/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 do you handle permissions and private channels so it doesn\u2019t overreach?<\/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> when connecting your tools such as Slack and Notion, it’ll ask you to select the exact channels you want <strong>ready<\/strong><em>when<\/em> to have access to. So anything you don’t want it to see, just leave it unchecked (you can update the settings anytime).<\/p>\n<p>Hope that helps!<\/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\">#6<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/WFEAPNZTIKAUTV\" class=\"app-title\">Cloudflare Temporary Accounts<\/a><\/p>\n<div class=\"one-liner\">Let agents deploy before signup<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">164<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Cloudflare Temporary Accounts \u5141\u8bb8AI\u4ee3\u7406\u5728\u65e0\u9700\u4eba\u7c7b\u6ce8\u518c\u6216\u767b\u5f55\u7684\u60c5\u51b5\u4e0b\uff0c\u901a\u8fc7\u4e34\u65f6\u8d26\u6237\u572860\u5206\u949f\u5185\u5b8c\u6210\u4ee3\u7801\u90e8\u7f72\u3001\u6d4b\u8bd5\u548c\u8fed\u4ee3\uff0c\u89e3\u51b3\u4e86\u4ee3\u7406\u5728\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41\u4e2d\u88ab\u8eab\u4efd\u9a8c\u8bc1\u548c\u8d26\u6237\u8bbe\u7f6e\u73af\u8282\u5361\u4f4f\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\/a94a8522-53b5-4d83-9c1b-28408ae2496c.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\/a61cb17f-1cfd-42ec-9f14-9ef75664c748.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\/f0309c78-95f8-4431-b6b5-5a5f6334c88a.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\/970a9da8-ad1c-48b6-a7cd-af3ef36051cc.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\/0559f502-16f6-4644-9b8c-d0aa95b9fa91.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\/3056be3e-3f16-4724-8055-3285f9dcffa3.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\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u4e34\u65f6\u8d26\u6237<\/span><br \/>\n <span class=\"tag\">AI\u4ee3\u7406<\/span><br \/>\n <span class=\"tag\">\u65e0\u670d\u52a1\u5668\u90e8\u7f72<\/span><br \/>\n <span class=\"tag\">Cloudflare Workers<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41<\/span><br \/>\n <span class=\"tag\">\u77ed\u65f6\u51ed\u8bc1<\/span><br \/>\n <span class=\"tag\">\u8eab\u4efd\u9a8c\u8bc1<\/span><br \/>\n <span class=\"tag\">DevOps<\/span><br \/>\n <span class=\"tag\">\u653b\u51fb\u9762\u7f29\u51cf<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/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\u53ef60\u5206\u949f\u4e34\u65f6\u7a97\u53e3\u8bbe\u8ba1\uff0c\u8ba4\u4e3a\u517c\u987e\u4e86\u6548\u7387\u4e0e\u5b89\u5168\u6027\u3002\u6838\u5fc3\u7591\u95ee\u96c6\u4e2d\u5728\u201c\u8ba4\u9886\u201d\u65f6\u7684\u72b6\u6001\u8fc1\u79fb\uff1aKV\/D1\/Durable Objects\u7b49\u7ed1\u5b9a\u662f\u5426\u80fd\u5b8c\u6574\u7ee7\u627f\uff1f\u6b64\u5916\uff0c\u65e0\u4eba\u8ba4\u9886\u7684\u8d44\u6e90\u662f\u5426\u5f7b\u5e95\u6e05\u9664\uff0c\u4ee5\u53ca\u4e34\u65f6\u8d26\u6237\u7684\u6062\u590d\u673a\u5236\u4e5f\u5f15\u53d1\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 \u8fd9\u4e2a\u4ea7\u54c1\u5207\u4e2d\u4e86AI\u4ee3\u7406\u6267\u884c\u590d\u6742\u4efb\u52a1\u65f6\u7684\u6838\u5fc3\u6b7b\u7a74\u2014\u2014\u4eba\u7c7b\u8eab\u4efd\u9a8c\u8bc1\u7684\u4e2d\u65ad\u3002\u5f53\u4e00\u4e2a\u4ee3\u7406\u9700\u8981\u90e8\u7f72\u65f6\uff0c\u5b83\u9762\u5bf9\u7684\u901a\u5e38\u662f\u9488\u5bf9\u4eba\u7c7b\u8bbe\u8ba1\u7684OAuth\u6d41\u7a0b\u3001API\u4ee4\u724c\u521b\u5efa\u548c\u4eea\u8868\u76d8\u70b9\u51fb\uff0c\u8fd9\u672c\u8d28\u4e0a\u662f\u5728\u7528\u201c\u4eba\u7684\u6d41\u7a0b\u201d\u53bb\u5361\u201c\u673a\u5668\u7684\u8116\u5b50\u201d\u3002Temporary Accounts\u7684\u4f18\u96c5\u4e4b\u5904\u5728\u4e8e\uff0c\u5b83\u4e0d\u8bd5\u56fe\u6539\u9020\u4eba\u7c7b\u8ba4\u8bc1\u4f53\u7cfb\uff0c\u800c\u662f\u4e3a\u673a\u5668\u521b\u9020\u4e86\u72ec\u7acb\u7684\u201c\u6c99\u76d2\u65f6\u95f4\u201d\uff0c\u8ba9\u4ee3\u7406\u572860\u5206\u949f\u5185\u50cf\u81ea\u4e3b\u7a0b\u5e8f\u5458\u4e00\u6837\u5de5\u4f5c\uff0c\u800c\u975e\u7b49\u5f85\u8bb8\u53ef\u7684\u63d0\u7ebf\u6728\u5076\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u7280\u5229\u7684\u8d28\u7591\u540c\u6837\u9700\u8981\u88ab\u6b63\u89c6\uff1a\u4ea7\u54c1\u5ba3\u53d1\u4e2d\u9690\u542b\u201c\u4e00\u952e\u8ba4\u9886\u201d\u7684\u7f8e\u597d\u627f\u8bfa\uff0c\u53ef\u80fd\u4f1a\u5728\u771f\u5b9e\u4e1a\u52a1\u573a\u666f\u4e2d\u78b0\u58c1\u3002\u8bc4\u8bba\u4e2d\u53cd\u590d\u51fa\u73b0\u7684\u201cKV\/D1\u7ed1\u5b9a\u662f\u5426\u80fd\u5b8c\u6574\u8f6c\u79fb\u201d\u7edd\u5bf9\u4e0d\u662f\u5439\u6bdb\u6c42\u75b5\uff0c\u800c\u662f\u5bf9\u201c\u4e34\u65f6\u73af\u5883\u201d\u4e0e\u201c\u751f\u4ea7\u73af\u5883\u201d\u4e4b\u95f4\u662f\u5426\u771f\u7684\u5b58\u5728\u4e00\u6761\u900f\u660e\u901a\u9053\u7684\u62f7\u95ee\u3002\u5982\u679c\u8ba4\u9886\u4e4b\u540e\u9700\u8981\u5f00\u53d1\u8005\u624b\u52a8\u91cd\u5efa\u72b6\u6001\u7ed1\u5b9a\uff0c\u90a3\u4e48\u8fd9\u4e2a\u4e34\u65f6\u8d26\u6237\u5c31\u6ca6\u4e3a\u201c\u529f\u80fd\u6f14\u793a\u5de5\u5177\u201d\uff0c\u800c\u975e\u771f\u6b63\u7684\u751f\u4ea7\u529b\u52a0\u901f\u5668\u3002\u6b64\u5916\uff0c60\u5206\u949f\u7a97\u53e3\u867d\u7136\u806a\u660e\u5730\u9650\u5236\u4e86\u653b\u51fb\u9762\uff0c\u5374\u4e5f\u66b4\u9732\u4e86\u5176\u8bbe\u8ba1\u5bf9\u201c\u957f\u751f\u547d\u5468\u671f\u201d\u4ee3\u7406\u4efb\u52a1\u7684\u4e0d\u53cb\u597d\u2014\u2014\u5982\u679c\u4e00\u4e2a\u590d\u6742\u7684AI\u63a8\u7406\u6d41\u9700\u8981\u66f4\u957f\u8de8\u5ea6\u7684\u90e8\u7f72\u9a8c\u8bc1\uff0c\u8fd9\u4e2a\u6c99\u76d2\u53ef\u80fd\u5c31\u6210\u4e86\u7262\u7b3c\u3002\n <\/p>\n<p class=\"ai-content\">\n Cloudflare\u7528\u201c\u4e34\u65f6\u8d26\u6237\u201d\u5728\u4eba\u7c7b\u4e0eAI\u4e4b\u95f4\u6316\u4e86\u4e00\u6761\u6c9f\uff0c\u53c8\u7528\u201c\u8ba4\u9886\u673a\u5236\u201d\u642d\u4e86\u4e00\u5ea7\u6865\u3002\u4f46\u6865\u7684\u8d28\u91cf\uff0c\u53d6\u51b3\u4e8e\u5b83\u662f\u5426\u80fd\u628a\u4e34\u65f6\u73af\u5883\u4e2d\u7684\u4e00\u5207\u201c\u72b6\u6001\u201d\u5b89\u5168\u3001\u65e0\u635f\u5730\u642c\u5230\u5bf9\u5cb8\u3002\u5426\u5219\uff0c\u8fd9\u6761\u201c\u5feb\u8f66\u9053\u201d\u53ea\u4f1a\u901a\u5411\u4e00\u7247\u65e0\u4eba\u8ba4\u9886\u7684\u4ee3\u7801\u575f\u573a\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\">Cloudflare Temporary Accounts<\/span>\n <\/div>\n<div class=\"comment-content\">The moment an agent needs to deploy something, it slams face-first into a wall built for humans. Today we’re rolling out Temporary Accounts on Cloudflare Workers. Any agent can now run wrangler deploy \u2014 temporary and get a live Worker in seconds.<\/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!<\/p>\n<p>Your agent has 60 minutes to ship its work before you <a href=\"https:\/\/developers.cloudflare.com\/workers\/platform\/claim-deployments\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">claim it<\/a>.<\/p>\n<p><a href=\"https:\/\/www.producthunt.com\/products\/cloudflare\" target=\"_blank\" rel=\"noopener\">@Cloudflare<\/a> now has temporary accounts for AI agents. With <em>wrangler deploy –temporary<\/em>, an agent can deploy a real Worker without asking you to sign up, complete OAuth, create an API token, or click through the dashboard.<\/p>\n<p>It gets a temporary preview account, a live workers.dev URL, and a claim link.<\/p>\n<p>The nice part is that the agent can loop during the 60-min window: deploy, test the URL, change the code, redeploy, and verify again.<\/p>\n<p>When the work is useful, you keep it. When it is not, it disappears\ud83d\udca8<\/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>Ephemeral credentials that self-delete in 60 minutes is the sort of attack-surface reduction I wish more products shipped by default. You don’t have to leave junk out there racking up billing either. Now someone just has to worry about what the agent deploys to a public URL in that window.<\/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=\"comment-item\">\n<div class=\"comment-content\">\n<p>That’s really awesome a feature to make workflow more faster. Thanks a lot Cloudflare. <\/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 60-minute temporary account flow is the part I’d test first for agent workflows, especially when a project needs a few deploy-test-redeploy loops before a human even looks at it. The practical edge case is claim time: if the agent already attached KV, D1, or Durable Objects during the temporary window, does claiming the project preserve those bindings as-is, or does the human need to recreate part of the setup in the real account?<\/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>Disposable identifiers are one of the rare privacy moves that also cut <em>fraud<\/em> exposure \u2014 a throwaway address can’t be cross-referenced or resold onto a “sucker list.” Curious how you’re handling recovery: if someone needs to re-access something tied to a temporary account, what’s 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>The 60-minute ephemeral window with iterative redeploy is the right design for agentic workflows. Auth interruptions break agent execution mid-task, and the claim link keeps humans in control of what gets committed. I’ve hit this exact wall with multi-step automated pipelines. How does state transfer work at claim time? Do KV namespace bindings and Durable Objects carry over, or does the agent need to reconstruct?<\/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 smart. The biggest blocker for agents right now is auth and account setup. 60 minutes to deploy and claim is a nice middle ground. What happens to the worker if nobody claims it though? Does it just get wiped?<\/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 like the 60-minute temporary window. It feels like a good balance, enough time for the agent to prove the work is useful, but not another abandoned preview environment that lives forever.<\/p>\n<\/p>\n<p>Curious how this will work for slightly more complex Worker projects. Can temporary deploys also test bindings like KV, R2, D1, or environment variables, or is the first version focused mostly on simple Workers?<\/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\">#7<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/ET2VD6UMZ3BTIB\" class=\"app-title\">uwait<\/a><\/p>\n<div class=\"one-liner\">Get paid while AI thinks<\/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>\u5728\u7b49\u5f85ChatGPT\u6216Claude\u751f\u6210\u56de\u590d\u76843-8\u79d2\u7a7a\u767d\u95f4\u9699\uff0cuwait\u4ee5Chrome\u6269\u5c55\u5f62\u5f0f\u5c55\u793a\u7cbe\u9009\u5e7f\u544a\uff0c\u7528\u6237\u3001\u5185\u5bb9\u51fa\u7248\u5546\u548c\u5e73\u53f0\u4e09\u65b9\u5171\u540c\u53d8\u73b0\u8fd9\u6bb5\u201c\u6ce8\u610f\u529b\u7a7a\u7a97\u671f\u201d\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\/91025ae3-976b-420b-b38f-3ea381f3ccde.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\/ead6bd0c-62db-4d62-8ab6-7c6289952d90.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\/8c580cfe-836e-4144-8beb-2e8daeee3161.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\">Advertising<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Search<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Chrome\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">AI\u7b49\u5f85\u65f6\u95f4<\/span><br \/>\n <span class=\"tag\">\u6ce8\u610f\u529b\u53d8\u73b0<\/span><br \/>\n <span class=\"tag\">\u5e7f\u544a\u5206\u6210<\/span><br \/>\n <span class=\"tag\">\u521b\u4f5c\u8005\u7ecf\u6d4e<\/span><br \/>\n <span class=\"tag\">\u7528\u6237\u6fc0\u52b1<\/span><br \/>\n <span class=\"tag\">\u51fa\u7248\u5546\u8865\u507f<\/span><br \/>\n <span class=\"tag\">\u95f2\u7f6e\u65f6\u95f4\u5229\u7528<\/span><br \/>\n <span class=\"tag\">\u6d4f\u89c8\u5668\u63d2\u4ef6<\/span><br \/>\n <span class=\"tag\">\u5fae\u652f\u4ed8<\/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\u521b\u610f\u65b0\u9896\uff0c\u4f46\u805a\u7126\u51e0\u5927\u7591\u8651\uff1a\u5206\u6210\u91d1\u989d\u662f\u5426\u8db3\u4ee5\u9a71\u52a8\u7528\u6237\u7559\u5b58\uff08@reda_roqai_chaoui\uff09\uff1b\u5e7f\u544a\u662f\u5426\u4f1a\u6f14\u53d8\u4e3a\u201c\u7b49\u5f85\u5e7f\u544a\u201d\u7684YouTube\u5f0f\u4f53\u9a8c\uff08@elias_motionfy\uff09\uff1bAI\u8bad\u7ec3\u6570\u636e\u7684\u51fa\u7248\u5546\u5f52\u5c5e\u5982\u4f55\u7cbe\u786e\u6838\u7b97\uff08@andrasczeizel\uff09\uff1b\u4ee5\u53ca\u5e7f\u544a\u8f7b\u91cf\u5316\u548c\u9ad8\u95e8\u69db\u7b5b\u9009\u80fd\u5426\u5728\u89c4\u6a21\u5316\u540e\u7ef4\u6301\uff08@tina_chhabra\uff09\u3002\u521b\u59cb\u4eba\u5728\u56de\u590d\u4e2d\u5f3a\u8c03\u5e7f\u544a\u4ec5\u5b58\u5728\u4e8e\u52a0\u8f7d\u95f4\u9699\u3001\u4e14\u4eba\u5de5\u5ba1\u6838\u6bcf\u4e00\u5219\u5e7f\u544a\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 uwait\u672c\u8d28\u4e0a\u662f\u5728\u69a8\u53d6AI\u57fa\u7840\u8bbe\u65bd\u7684\u201c\u5269\u4f59\u4ef7\u503c\u201d\uff0c\u5b83\u627e\u5230\u7684\u7f1d\u9699\u8db3\u591f\u5201\u94bb\u4e5f\u8db3\u591f\u8bda\u5b9e\u3002\u4ece\u5546\u4e1a\u903b\u8f91\u770b\uff0c\u8fd9\u5e76\u975e\u4e00\u4e2a\u98a0\u8986\u6027\u4ea7\u54c1\uff0c\u800c\u662f\u4e00\u4e2a\u6781\u5176\u7cbe\u5de7\u7684\u6d41\u91cf\u5957\u5229\u5de5\u5177\uff1a\u628a\u7528\u6237\u672c\u5df2\u4e60\u60ef\u7684\u65e0\u6548\u7b49\u5f85\u65f6\u95f4\u8d44\u672c\u5316\uff0c\u901a\u8fc7\u4e09\u65b9\u5206\u8d26\u964d\u4f4e\u5404\u65b9\u654c\u610f\u3002\u4f46\u5b83\u7684\u8106\u5f31\u70b9\u4e5f\u5f88\u7a81\u51fa\u3002\n <\/p>\n<p class=\"ai-content\">\n \u9996\u5148\uff0c\u7528\u6237\u7684\u652f\u4ed8\u610f\u613f\u672c\u8d28\u4e0a\u662f\u8d1f\u7684\u2014\u2014\u4ed6\u4eec\u4e0d\u662f\u4e3a\u670d\u52a1\u4ed8\u8d39\uff0c\u800c\u662f\u88ab\u4ed8\u8d39\u5bb9\u5fcd\u5e72\u6270\u3002\u8fd9\u4e2a\u6a21\u578b\u80fd\u5426\u8dd1\u901a\u5b8c\u5168\u53d6\u51b3\u4e8e\u201c\u7b49\u5f85\u65f6\u95f4+\u5e7f\u544a\u201d\u7684\u7ec4\u5408\u662f\u5426\u6bd4\u201c\u7b49\u5f85\u65f6\u95f4\u201d\u672c\u8eab\u66f4\u8ba9\u7528\u6237\u4e0d\u582a\u3002\u4e00\u65e6\u7528\u6237\u89c9\u5f97\u90a33\u79d2\u7684\u5e7f\u544a\u6bd4\u65cb\u8f6c\u7684\u52a0\u8f7d\u52a8\u753b\u66f4\u70e6\u4eba\uff0c\u7559\u5b58\u5373\u523b\u5d29\u584c\u3002\u76ee\u524d\u7684\u5206\u6210\u673a\u5236\uff0850%\u7ed9\u7528\u6237\uff09\u542c\u8d77\u6765\u6177\u6168\uff0c\u4f46\u4ee5\u5e7f\u544aCPM\u63a8\u7b97\uff0c\u91cd\u5ea6\u7528\u6237\u6708\u6536\u5165\u5927\u6982\u7387\u4e0d\u8d85\u8fc7\u51e0\u7f8e\u5143\uff0c\u8fd9\u80fd\u5426\u6784\u6210\u6b63\u5411\u6fc0\u52b1\u5b58\u7591\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5176\u6b21\uff0c\u5bf9\u51fa\u7248\u554630%\u7684\u5206\u6210\u770b\u4f3c\u662f\u9053\u5fb7\u8865\u507f\uff0c\u5374\u6697\u85cf\u5f52\u56e0\u6b7b\u7a74\u3002\u521b\u59cb\u4eba\u58f0\u79f0\u57fa\u4e8eAI\u56de\u590d\u4e2d\u7684\u201c\u5f15\u7528\u201d\u6765\u5206\u914d\u6536\u5165\uff0c\u4f46\u5927\u591a\u6570AI\u5bf9\u8bdd\u5e76\u4e0d\u63d0\u4f9b\u660e\u786e\u5f15\u7528\uff0c\u4e14\u6a21\u578b\u8bad\u7ec3\u6570\u636e\u6e90\u8fdc\u6bd4\u4e00\u6b21\u5bf9\u8bdd\u5f15\u7528\u590d\u6742\u5f97\u591a\u3002\u8fd9\u79cd\u201c\u7cbe\u786e\u5f52\u56e0\u201d\u8981\u4e48\u662f\u8425\u9500\u8bdd\u672f\uff0c\u8981\u4e48\u5c06\u5bfc\u81f4\u5927\u90e8\u5206\u6536\u5165\u65e0\u6cd5\u5206\u914d\u3002\u66f4\u73b0\u5b9e\u7684\u60c5\u51b5\u662f\uff0c\u521d\u59cb\u9636\u6bb5\u51fa\u7248\u5546\u5206\u6210\u4f1a\u53d8\u6210\u4e00\u7b14\u6ede\u7eb3\u7684\u201c\u9ed1\u7bb1\u91d1\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u6700\u540e\uff0c\u5e7f\u544a\u4e3b\u7aef\u7684\u4ef7\u503c\u547d\u9898\u5176\u5b9e\u6700\u7a33\u56fa\u2014\u2014\u201cAI\u91cd\u5ea6\u7528\u6237\u201d\u672c\u8eab\u5c31\u662f\u9ad8\u51c0\u503c\u4eba\u7fa4\u6807\u7b7e\uff0c\u5373\u4fbf\u6bcf\u6b21\u66dd\u5149\u4ec53\u79d2\uff0c\u6ce8\u610f\u529b\u8d28\u91cf\u5374\u6781\u9ad8\u3002\u4f46\u95ee\u9898\u5728\u4e8e\uff0c\u4e00\u65e6\u5e7f\u544a\u4e3b\u5f00\u59cb\u8981\u6c42\u66f4\u957f\u7684\u5c55\u793a\u65f6\u95f4\u6216\u66f4\u7cbe\u51c6\u7684\u6295\u653e\uff0c\u8fd9\u79cd\u201c\u7eaf\u88ab\u52a8\u586b\u8865\u201d\u7684\u6a21\u5f0f\u4f1a\u8fc5\u901f\u6ed1\u5411\u7834\u574f\u7528\u6237\u4f53\u9a8c\u7684\u65b9\u5411\u3002\u521b\u59cb\u4eba\u53e3\u4e2d\u201c\u8d28\u91cf\u4f18\u5148\u201d\u7684\u4eba\u5de5\u5ba1\u6838\u5236\uff0c\u5728\u89c4\u6a21\u5316\u9762\u524d\u4e0d\u582a\u4e00\u51fb\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u800c\u8a00\u4e4b\uff0cuwait\u662f\u4e00\u4e2a\u503c\u5f97\u5173\u6ce8\u7684\u5b9e\u9a8c\uff0c\u5b83\u8bc1\u660e\u4e86\u4e00\u4e2a\u6d1e\u5bdf\uff1aAI\u65f6\u4ee3\u7684\u65b0\u8d44\u4ea7\u4e0d\u662f\u6570\u636e\uff0c\u662f\u201c\u7b49\u5f85\u201d\u3002\u4f46\u5b83\u66f4\u50cf\u662f\u4e92\u8054\u7f51\u65e9\u671f\u201c\u5f39\u7a97\u5e7f\u544a\u201d\u7684\u4f18\u96c5\u53d8\u79cd\uff0c\u800c\u975e\u7528\u6237\u53cb\u597d\u578b\u521b\u65b0\u3002\u5b83\u7684\u5929\u82b1\u677f\uff0c\u6070\u6070\u662f\u7528\u6237\u613f\u610f\u4e3a\u4e86\u533a\u533a\u51e0\u5206\u94b1\u51fa\u5356\u591a\u5c11\u201c\u65e0\u804a\u7684\u65f6\u95f4\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\">uwait<\/span>\n <\/div>\n<div class=\"comment-content\">Every time you use ChatGPT or Claude, you wait. Usually 3 to 8 seconds. That’s it. That’s the idea. uwait is a Chrome extension that shows a curated ad during that loading screen. You get a small cut. The publishers whose content trained the AI get a cut too. The advertiser gets your attention at a moment when you’re actually paying attention. The split: 50% to users, 30% to publishers, 20% to us. We’re picky about advertisers. Just brands that make sense in that context.<\/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, Tristan here.<\/p>\n<\/p>\n<p>I built uwait because I got tired of staring at a loading screen every time I asked ChatGPT something.<\/p>\n<\/p>\n<p>That’s it. That’s the whole origin story.<\/p>\n<\/p>\n<p>Three seconds. Five seconds. Sometimes more. Multiplied by every query I do in a day, every day. At some point I thought, that’s a lot of attention going nowhere. And attention is worth something.<\/p>\n<\/p>\n<p>So I built a Chrome extension that shows a small ad during that wait. You earn from it. Publishers whose content trained the AI you’re using earn from it too. We take 20%.<\/p>\n<\/p>\n<p>No account to create. No surveys. No referral schemes. You install it, use AI like you normally would, and money accumulates in the background.<\/p>\n<\/p>\n<p>I’ve been running it myself for a few weeks now. It’s not life-changing money. But it’s real money, for time you were already spending doing nothing.<\/p>\n<\/p>\n<p>The extension is live at <a href=\"http:\/\/uwait.co\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">uwait.co<\/a>. There are already a few advertisers running so you’ll actually see ads from day one.<\/p>\n<\/p>\n<p>Curious what you think. Happy to answer anything below.<\/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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tberguer\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tberguer<\/a> Interesting concept. Turning those few seconds of AI waiting time into something that benefits users, publishers, and advertisers is a clever idea. I also like the emphasis on curated ads\u2014relevance matters a lot more when you’re asking for attention during such a short window.<\/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\/@tberguer\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tberguer<\/a> Does it works only on the web version of the AI model or also the Claude application for exemple ?<\/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\/@tberguer\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tberguer<\/a> Pretty clever. You’re basically monetizing dead time instead of adding more interruptions.<\/p>\n<p>My only question is whether the payouts will be meaningful enough for users to keep the extension installed. If the economics work, I could see this finding a niche. Cool concept though.<\/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 one of the more unusual ideas I\u2019ve seen here. I like the observation that AI waiting time is basically unused attention. Everyone who uses ChatGPT or Claude a lot knows those few seconds add up, especially during a busy day. The revenue split is also interesting, especially the publisher part. I\u2019m curious how you decide which publishers should get paid from a given interaction, since AI training data and attribution can get very messy very quickly.<\/p>\n<\/p>\n<p>My main question is about the user experience: how do you make sure the ads stay lightweight enough that they don\u2019t make AI tools feel more distracting or noisy over time?<\/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\/@andrasczeizel\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@andrasczeizel<\/a> Great question on attribution. The approach is straightforward: every source the AI cites in its response gets a share of the revenue from that interaction. More details on how it’s calculated are on the site if you want to dig in. On the ad weight question, I hear you. The constraint I’ve set is that ads only show during the loading phase, which is already dead time. The goal is never to add noise on top of an answer, only to fill the void before one appears.<\/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>Gotta admit, “get paid to stare at the spinner” is a sentence that has no business working as well as it does. My only real worry is the ad sneaking in at the exact moment my brain’s still chewing on the answer – but if it stays in the dead-air gap, honestly, sure, take my idle seconds. <\/p>\n<p>Fun idea, 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>Ha, “get paid to stare at the spinner” is basically the whole pitch compressed into one sentence. And your concern is exactly the constraint I’ve set for myself: the ad only lives in the dead-air gap, before the answer renders. The moment content starts appearing, it’s gone. Idle seconds only. <\/p>\n<p>Thanksss for the launch love! \ud83d\ude01<\/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\">What’s the point of showing ads while users are waiting for an AI response ? It feels like a distraction for me.<\/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\/@kamedan_\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@kamedan_<\/a> Fair pushback. The bet is that you’re already staring at a blank screen for 3 to 8 seconds doing nothing. The ad doesn’t replace anything, it fills time that would otherwise be wasted. Whether that feels like a distraction or not probably depends on the person, which is why I’m watching retention and usage data closely. Youu should check annd try it ahah<\/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\">Getting paid while AI spins is the most 2026 thing I\u2019ve read all week. Cheeky and genuinely clever.<\/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\/@anusuya_bhuyan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@anusuya_bhuyan<\/a> Ha, appreciate that. The timing felt right, might as well put those seconds to 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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Really clever idea. I use Claude and ChatGPT constantly throughout the day and never thought about those 3-5 second gaps as “time” – but they add up. The publisher revenue share angle is what makes this interesting beyond just another ad product. Curious how the payout amounts look in practice after a week of heavy usage. Installing 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=\"comment-item\">\n<div class=\"comment-content\">\n<p>The wait was already there. You just put it to work.<\/p>\n<p>The 50\/30\/20 split is unusually honest too.<\/p>\n<p>How do you match which publishers content trained which model, or is that more approximated?<\/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\/@attacomsian\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@attacomsian<\/a> “The wait was already there. You just put it to work.” Honestly the best one-liner summary of the whole thing, stealing that.<\/p>\n<p>On the matching: it’s exact, not approximated. When the AI cites sources in its response, those specific publishers receive their share of the revenue from that interaction. No pool distribution, no guessing. The citation is the attribution signal. It’s not perfect since not every AI response includes explicit citations, but when it does, the link is direct.<\/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 idea is really interesting and the fact that you aiming to be picky about advertisers is great. Do you already have some standards\/ rules 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@julia_shtogren\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@julia_shtogren<\/a> Right now I review every ad manually before it goes live. No advertiser runs without my approval. It’s not a formal written policy yet, but in practice anything that feels off-brand for an AI-savvy audience gets rejected. The bar is: would I personally be okay seeing this while waiting for a Claude response? If not, it doesn’t pass. I’ll formalize the rules as the volume grows.<\/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 think this is a pretty interesting idea. You noticed a small thing that millions of people do every day and found a way to make that time useful. My main question would be whether people care enough about the money to keep using it after the first few weeks. When someone checks their earnings after a month, do they feel like it was worth installing?<\/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\/@reda_roqai_chaoui\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@reda_roqai_chaoui<\/a> That’s exactly the core retention question and I think about it a lot. The honest answer is I don’t know yet, it’s day one. What I do know is that even small amounts feel more rewarding than zero, and the bar isn’t “life-changing money”, it’s “better than nothing for time you were already wasting.” Whether that’s enough to keep people after a month is something I’ll only be able to answer with real data. <\/p>\n<p>I’ll share numbers once I have a few weeks of history.<\/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>Okay I had to laugh because I’m literally waiting for Claude right now while writing this. Premise is sharp.<\/p>\n<\/p>\n<p>How do you prevent this from turning over time into one of those ‘wait for the ad to finish’ experiences like on YouTube? As soon as advertisers realize that users are paying attention, they usually push for longer spots.<\/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\/@elias_motionfy\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@elias_motionfy<\/a> Haha, THATS A PERFECT TIMING!! The structural protection against the YouTube dynamic is that advertisers don’t control the duration. The ad shows for exactly as long as the AI takes to respond. If it loads in 2 seconds, the ad shows for 2 seconds.<\/p>\n<p>There’s no pre-roll, no countdown, no “skip in 5”. <\/p>\n<p>The loading time is the slot, and that’s set by the model, not by the advertiser. Whether I let advertisers influence that in the future will depend entirely on user feedback.<\/p>\n<\/p>\n<p> If it ever starts feeling like YouTube, that’s the signal to lock it down permanently.<\/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>Actually smart idea!<\/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\/@ruvik_milkis\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ruvik_milkis<\/a> thanks you so much \ud83d\ude48<\/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>Very interesting! I wonder if this will make people overuse tools like chatgpt\/claude<\/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\/@ashishkingdom\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ashishkingdom<\/a> Honest take: I don’t think it changes usage patterns. People who use ChatGPT or Claude daily aren’t going to add extra queries just to see an ad. wait and see like we said \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><a href=\"https:\/\/www.producthunt.com\/@tberguer\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"tberguer\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tberguer<\/a> loved the idea. just a question like how is it surfaced to users? Is it a full-screen ad or something more lightweight? When the AI is thinking, I usually spend that time reviewing my prompt or previous responses, so I’m curious how you make it non-intrusive and also do you give payment like in some kind of token or you have your own money system which use can later cash-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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@priyammmmm\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@priyammmmm<\/a> The ad is a small discreet banner, nothing full-screen or blocking (you really try it it’s full free). The goal is that it fits into the loading moment without competing with the interface around it. On the payment side, earnings accumulate in your account and you can cash out via Stripe. No tokens, no points system, just actual money you can withdraw. And to your point about reviewing prompts during loading: the banner sits at the bottom so it doesn’t interfere with what’s above it.<\/p>\n<p>You can still scroll or re-read while it’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>Love the concept. It’s one of the most creative AI monetization ideas I’ve seen recently.<\/p>\n<\/p>\n<p>My main question is around advertiser economics rather than user earnings.<\/p>\n<\/p>\n<p>If I understand correctly, advertisers are bidding primarily for access to a high-value audience (developers, researchers, knowledge workers, etc.) rather than prompt-level targeting.<\/p>\n<\/p>\n<p>In that case, what kind of CPMs do you expect to sustain long-term, and what evidence suggests advertisers will consistently pay enough to make the economics work for all three parties (users, sources, and uwait)?<\/p>\n<\/p>\n<p>The idea is compelling, but it seems like the entire model depends on advertisers seeing strong enough ROI from these “AI wait-time” impressions compared to traditional channels like Google, Reddit, LinkedIn, or developer-focused sponsorships.<\/p>\n<\/p>\n<p>Curious how you’re thinking about that side of the marketplace.<\/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\/@webrizen\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@webrizen<\/a> On targeting: right now the value proposition to advertisers is the audience segment itself. “AI power user” is already a fairly premium profile, and that alone justifies decent bids without needing prompt-level data. We also let users optionally share a bit about themselves to help refine targeting over time, so the signal improves as the network grows, without ever touching what they actually type.<\/p>\n<\/p>\n<p>On earnings per user: honest answer is it’s day one, so I don’t have stable data yet. But I can tell you we crossed 100 users in the first 4 hours and there are already a few euros sitting in pending earnings. Too early to extrapolate, but the early signal is that even at small scale, something is accumulating. The threshold question you’re raising (does it change behavior?) is one I’m actively watching. If it doesn’t feel meaningful to users, the model doesn’t work long-term. I’ll share proper numbers once I have a few weeks of 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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>monetizing the loading screen is one of those ideas where you hear it and think “why didn’t anyone do this already.” the 50\/30\/20 split with publishers getting a cut is a smart way to address the “AI trained on our content” argument too. curious how you keep the ad quality high at scale though because the moment it starts feeling spammy the whole value prop falls apart<\/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\/@tina_chhabra\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tina_chhabra<\/a> Exactly the right concern to raise. Right now I manually review and approve every single ad before it goes live. No advertiser can run without my validation. They also get a dashboard with basic performance data, which keeps them invested in relevance over volume. It won’t scale that way forever, but quality control before growth feels like the right order of operations here.<\/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\">#8<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/PMQKFXXQ5WQB2C\" class=\"app-title\">AirJelly<\/a><\/p>\n<div class=\"one-liner\">Your Proactive, Self-Organizing Second Brain<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">132<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>AirJelly\u662f\u4e00\u6b3e\u59cb\u7ec8\u5728\u7ebf\u7684\u684c\u9762AI\u4ee3\u7406\uff0c\u901a\u8fc7\u6301\u7eed\u89c2\u5bdf\u7528\u6237\u5c4f\u5e55\u6d3b\u52a8\uff0c\u4e3b\u52a8\u6355\u6349\u610f\u56fe\u3001\u6574\u7406\u4efb\u52a1\u5e76\u9884\u6d4b\u4e0b\u4e00\u6b65\u884c\u52a8\uff0c\u89e3\u51b3\u4fe1\u606f\u788e\u7247\u5316\u4e0e\u8ddf\u8fdb\u9057\u6f0f\u7684\u75db\u70b9\uff0c\u51cf\u5c11\u8ba4\u77e5\u8d1f\u62c5\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\/ad21d0ca-98c9-4f34-9604-10fd3925070c.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=H1DSG__lay4\"><source src=\"https:\/\/www.youtube.com\/watch?v=H1DSG__lay4\" 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\/d6389614-0e06-4bd1-a708-a50a964e4443.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\/de1072e0-df70-4dbb-aebb-b69425f47dd3.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\/099feec0-993f-4eb9-879f-516422a96a41.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\/0c47263d-ca01-4102-98a2-ccd4da59b8ee.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\/12efae8a-a9c0-4e69-a835-609eb8ae1dd1.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\/d8529c31-8b20-407a-b925-74a9bf2597cf.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\/0d98b14e-3c1e-4422-a05f-5ac7170e34e2.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\/69913f2f-b5d2-48bb-9bd7-0d7dd29d9a0a.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\">Productivity<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Virtual Assistants<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u684c\u9762AI\u4ee3\u7406<\/span><br \/>\n <span class=\"tag\">\u5c4f\u5e55\u4e0a\u4e0b\u6587<\/span><br \/>\n <span class=\"tag\">\u4e3b\u52a8\u4efb\u52a1\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u610f\u56fe\u6355\u6349<\/span><br \/>\n <span class=\"tag\">\u5173\u7cfb\u8bb0\u5fc6<\/span><br \/>\n <span class=\"tag\">\u9690\u79c1\u63a7\u5236<\/span><br \/>\n <span class=\"tag\">\u751f\u4ea7\u529b\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u52a9\u624b<\/span><br \/>\n <span class=\"tag\">\u81ea\u7ec4\u7ec7\u77e5\u8bc6\u5e93<\/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\u6ce8\u8bef\u5224\u540e\u7684\u7ea0\u6b63\u673a\u5236\uff084\u8d5e\uff09\uff0c\u62c5\u5fe7\u6570\u636e\u5bfc\u51fa\u3001\u5e94\u7528\u7ea7\u89c2\u5bdf\u8303\u56f4\u4e0e\u654f\u611f\u4fe1\u606f\u6cc4\u9732\uff081\u8d5e\uff09\u3002\u5176\u4f59\u8bc4\u8bba\u8ba4\u53ef\u8ddf\u8fdb\u8ffd\u8e2a\u3001\u5173\u7cfb\u8bb0\u5fc6\u7b49\u7279\u6027\uff0c\u8ba4\u4e3a\u5de5\u5177\u968f\u65f6\u95f4\u4ef7\u503c\u9012\u589e\uff0c\u4f46\u6709\u610f\u613f\u8be2\u95ee\u627f\u8bfa\u8bc6\u522b\u7684\u5224\u5b9a\u6807\u51c6\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 AirJelly\u7684\u201c\u5c4f\u5e55\u4e0a\u4e0b\u6587\u611f\u77e5\u201d\u6982\u5ff5\u786e\u5b9e\u6fc0\u8fdb\u2014\u2014\u5b83\u8bd5\u56fe\u4ece\u201c\u88ab\u52a8\u54cd\u5e94\u201d\u8de8\u8d8a\u5230\u201c\u4e3b\u52a8\u9884\u5224\u201d\uff0c\u8fd9\u5728AI\u5e94\u7528\u5c42\u7b97\u662f\u4e00\u6b21\u5927\u80c6\u7684\u8fdb\u5316\u3002\u4f46\u4ea7\u54c1\u4ecb\u7ecd\u4e0e\u8bc4\u8bba\u66b4\u9732\u51fa\u4e24\u4e2a\u6838\u5fc3\u77db\u76fe\uff1a\u7b2c\u4e00\uff0c\u7528\u6237\u53cd\u590d\u8d28\u7591\u7684\u201c\u8bef\u5224\u7ea0\u6b63\u201d\u95ee\u9898\uff0c\u8fd9\u672c\u8d28\u662fAI\u6982\u7387\u6a21\u578b\u4e0e\u7528\u6237\u786e\u5b9a\u6027\u9700\u6c42\u7684\u51b2\u7a81\u3002\u5982\u679c\u6bcf\u6b21\u8bef\u8bfb\u90fd\u9700\u8981\u7528\u6237\u624b\u52a8\u6821\u51c6\uff0c\u6240\u8c13\u7684\u201c\u7b2c\u4e8c\u5927\u8111\u201d\u4f1a\u9000\u5316\u6210\u201c\u9700\u8981\u8bad\u7ec3\u7684\u5ba0\u7269\u201d\uff0c\u53cd\u800c\u589e\u52a0\u8ba4\u77e5\u7a0e\u3002\u7b2c\u4e8c\uff0c\u9690\u79c1\u8fb9\u754c\u6a21\u7cca\u5316\u3002\u4ea7\u54c1\u5f3a\u8c03\u201c\u89c2\u5bdf\u5c4f\u5e55\u201d\uff0c\u4f46\u591a\u6570\u7528\u6237\u660e\u786e\u5e0c\u671b\u9650\u5b9a\u89c2\u5bdf\u8303\u56f4\uff08\u5982\u6392\u9664\u7279\u5b9aAPP\u6216\u7a97\u53e3\uff09\uff0c\u800c\u76ee\u524d\u56de\u590d\u4e2d\u5e76\u672a\u5c55\u73b0\u7ec6\u81f4\u7684\u6743\u9650\u7c92\u5ea6\u8bbe\u8ba1\u3002\u8fd9\u4f1a\u8ba9\u4f01\u4e1a\u7528\u6237\u548c\u4e13\u4e1a\u5de5\u4f5c\u8005\u671b\u800c\u5374\u6b65\u2014\u2014\u6bd5\u7adf\u6ca1\u4eba\u6562\u8ba9\u4e00\u4e2a\u8131\u7f30\u7684AI\u76d1\u542cSlack\u548c\u90ae\u4ef6\u3002\u771f\u6b63\u7684\u4ef7\u503c\u6216\u8bb8\u4e0d\u5728\u4e8e\u201c\u4e3b\u52a8\u505a\u4e8b\u201d\uff0c\u800c\u5728\u4e8e\u201c\u5173\u7cfb\u8bb0\u5fc6\u201d\u548c\u201c\u8ddf\u8fdb\u8ffd\u8e2a\u201d\u2014\u2014\u8fd9\u662f\u73b0\u6709\u5de5\u5177\u8986\u76d6\u6700\u5dee\u7684\u73af\u8282\uff0c\u7528\u6237\u4e5f\u660e\u786e\u6295\u7968\u652f\u6301\u3002\u5efa\u8bae\u56e2\u961f\u4f18\u5148\u805a\u7126\u201c\u9ad8\u7cbe\u5ea6\u610f\u56fe\u6355\u83b7\u201d+\u201c\u53ef\u63a7\u89c2\u5bdf\u8303\u56f4\u201d\uff0c\u505a\u6210\u4e00\u4e2a\u201c\u53ea\u8bb0\u5f55\u3001\u4e0d\u8d8a\u6743\u201d\u7684\u52a9\u624b\uff0c\u800c\u4e0d\u662f\u4e00\u4e2a\u201c\u4ec0\u4e48\u90fd\u60f3\u731c\u201d\u7684\u7ba1\u5bb6\u3002\u5426\u5219\uff0c\u5373\u4fbf\u6295\u7968\u7834\u5343\uff0c\u4e5f\u4f1a\u56f0\u5728\u201c\u77e5\u9053\u4f60\u5728\u770b\u4ec0\u4e48\uff0c\u5374\u4e0d\u77e5\u9053\u4f60\u8981\u4ec0\u4e48\u201d\u7684\u5c34\u5c2c\u91cc\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\">AirJelly<\/span>\n <\/div>\n<div class=\"comment-content\">AirJelly is an always-on desktop AI agent that proactively captures your intent, organizes your tasks, and gets things done. By observing your on-screen activities, it knows who you are and what you’re working on. It doesn’t just spot your to-dos \u2014 it foresees what’s next and acts. It also tracks your personal interactions, so you’ll never miss a follow-up or forget a promise. Everything in your life is managed by AirJelly \u2014 freeing your time for what AI can’t do, or simply for you to enjoy.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">The world just started talking about AI Screen Context. We’ve been building something deeper \u2014 AirJelly can see your screen and remembers not just what you did, but who you are. No intent missed. No task overdue. <\/p>\n<p>Introducing AirJelly today, the world’s first context-aware proactive agent, that lives on your desktop, grows with your context, and proactively get works done.<\/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<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love the proactive intent capture concept, but when AirJelly misreads context and acts on a wrong assumption, how do users correct it without breaking the learning model?<\/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>Second brain tools live or die on the capture experience and the exit ramp. The proactive angle is interesting but I’ve been burned before – these agents tend to surface things I don’t recognize as my own intent, and correcting them over time feels like training a pet more than using a tool. What does the data model look like if I want to export everything? And is there a way to scope observation to specific apps so it doesn’t vacuum up sensitive 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>This feels like the kind of tool that gets more valuable over time. <\/p>\n<\/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 follow-up tracking is the feature I’d actually use every day. Promises made in Slack almost never make it back into any system. How do you handle apps or windows you’d want to exclude from observation?<\/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 didn’t expect the relationship memory feature to be the part that caught my attention, but its probably the most practical feature here.<\/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>Most productivity tools help me organize tasks. this seems to focus on making sure things actually get done, which is a much 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>The idea of an assistant that understands ongoing context instead of waiting for prompts is a pretty big shift from how we use AI 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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How does it decide what counts as a promise, and can you correct it when it misreads context?<\/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\">#9<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/CDZ6CXPO4JXUDC\" class=\"app-title\">MediaSeg<\/a><\/p>\n<div class=\"one-liner\">Split large media files into upload-ready chunks on macOS<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">123<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>MediaSeg \u662f\u4e00\u6b3e macOS \u672c\u5730\u5de5\u5177\uff0c\u80fd\u65e0\u635f\u5c06\u8d85\u5927\u97f3\u89c6\u9891\u6587\u4ef6\u6309\u76ee\u6807\u5927\u5c0f\u5207\u5206\u6210\u5757\uff0c\u89e3\u51b3\u7528\u6237\u5728\u4e0a\u4f20\u81f3 NotebookLM \u7b49\u6709\u5bb9\u91cf\u9650\u5236\u5e73\u53f0\u65f6\u53cd\u590d\u9047\u5230\u7684\u4e0a\u4f20\u8d85\u9650\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\/fca001b4-caee-474a-b58d-98ea0e816505.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\/a447bc4b-1b16-4865-b515-473295c78e88.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\/cc3dbc44-1087-4257-a34b-d49a09bcb3b3.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\/f760e8e5-ea8e-47a8-b7a5-d3340d7f6c44.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\">Productivity<\/span><br \/>\n <span class=\"tag\">Meetings<\/span><br \/>\n <span class=\"tag\">GitHub<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">macOS<\/span><br \/>\n <span class=\"tag\">\u89c6\u9891\u5206\u5272<\/span><br \/>\n <span class=\"tag\">\u97f3\u9891\u5206\u5272<\/span><br \/>\n <span class=\"tag\">\u4e0a\u4f20\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">NotebookLM<\/span><br \/>\n <span class=\"tag\">\u672c\u5730\u5904\u7406<\/span><br \/>\n <span class=\"tag\">\u65e0\u635f\u5207\u5206<\/span><br \/>\n <span class=\"tag\">FFmpeg<\/span><br \/>\n <span class=\"tag\">AI\u8f85\u52a9\u5f00\u53d1<\/span><br \/>\n <span class=\"tag\">\u751f\u4ea7\u529b\u5de5\u5177<\/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\u89e3\u51b3\u4e0a\u4f20\u5bb9\u91cf\u9650\u5236\u7684\u771f\u5b9e\u75db\u70b9\uff0c\u8d5e\u8d4f\u672c\u5730\u5904\u7406\u4e14\u4e0d\u91cd\u65b0\u7f16\u7801\u3002\u4e3b\u8981\u95ee\u9898\u5305\u62ec\uff1a\u5f53\u524d\u4e0d\u652f\u6301\u7eaf\u97f3\u9891\u683c\u5f0f\uff08WAV\/AIFF\uff09\uff0c\u5206\u5272\u662f\u5426\u57fa\u4e8e\u5173\u952e\u5e27\u5bf9\u9f50\u4ee5\u907f\u514d\u89e3\u7801\u82b1\u5c4f\uff0c\u4ee5\u53ca\u6700\u5927\u6587\u4ef6\u5904\u7406\u80fd\u529b\u3002\u5f00\u53d1\u8005\u56de\u5e94\u79f0\u540e\u7eed\u8003\u8651\u52a0\u5165\u97f3\u9891\u652f\u6301\uff0c\u76ee\u524d\u4ec5\u6309\u5927\u5c0f\u5206\u5272\uff0c\u6d4b\u8bd5\u6700\u5927\u6587\u4ef6\u4e3a7.7GB MP4\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 MediaSeg \u7684\u53d9\u4e8b\u975e\u5e38\u806a\u660e\u2014\u2014\u201c\u672c\u4eba\u75db\u70b9\uff0c\u4e24\u5929\u7528AI\u641e\u51fa\u6765\u7684\u201d\uff0c\u8fd9\u79cd\u201c\u521b\u4f5c\u8005\u5373\u7528\u6237\u201d\u7684\u771f\u8bda\u611f\u5929\u7136\u5177\u5907\u4f20\u64ad\u529b\u3002\u4f46\u4ece\u4ea7\u54c1\u4ef7\u503c\u770b\uff0c\u5b83\u672c\u8d28\u662f\u4e00\u4e2a\u4e3a FFmpeg \u52a0\u4e86\u4e00\u5c42\u6f02\u4eae UI \u7684\u5c01\u88c5\u5668\uff0c\u6280\u672f\u58c1\u5792\u6781\u4f4e\uff1astream copy \u6309\u5927\u5c0f\u5206\u5272\u662f FFmpeg \u7684\u6807\u51c6\u529f\u80fd\uff0c\u552f\u4e00\u5dee\u5f02\u5316\u5728\u4e8e\u672c\u5730\u5316\u548c\u7b80\u6d01\u4f53\u9a8c\u3002\u7136\u800c\uff0c\u7f3a\u4e4f\u5173\u952e\u5e27\u5bf9\u9f50\u662f\u5176\u786c\u4f24\u2014\u2014\u6b63\u5982\u8bc4\u8bba\u4e2d\u4e00\u4f4d\u7528\u6237\u6240\u6307\u51fa\u7684\uff0c\u5f53\u5207\u5206\u8fb9\u754c\u843d\u5728GOP\u4e2d\u95f4\u65f6\uff0c\u4e0b\u6e38\u89e3\u7801\u5668\u53ef\u80fd\u4f1a\u4ea7\u751f\u82b1\u5c4f\uff0c\u8fd9\u8ba9\u201c\u65e0\u635f\u201d\u5728\u90e8\u5206\u573a\u666f\u4e0b\u6253\u4e86\u6298\u6263\u3002\u5bf9\u4e8e NotebokLM \u8fd9\u7c7b\u8bed\u97f3\u8f6c\u6587\u5b57\u573a\u666f\u6216\u8bb8\u5f71\u54cd\u4e0d\u5927\uff0c\u4f46\u5982\u679c\u60f3\u6269\u5c55\u5230\u66f4\u4e13\u4e1a\u7684\u89c6\u9891\u5904\u7406\u573a\u666f\uff0c\u8fd9\u662f\u4e00\u4e2a\u9700\u8981\u6b63\u89c6\u5e76\u4fee\u590d\u7684\u95ee\u9898\u3002\u53e6\u5916\uff0c\u76ee\u524d\u4ec5\u652f\u6301 MP4\/WEBM\uff0c\u800c\u91c7\u8bbf\u3001\u5f55\u97f3\u5e38\u7528\u7684 WAV\/AIFF \u88ab\u6392\u9664\u5728\u5916\uff0c\u8bf4\u660e\u4ea7\u54c1\u7684\u521d\u59cb\u5b9a\u4f4d\u4ecd\u662f\u4e3a\u4f5c\u8005\u81ea\u5df1\u7684\u89c6\u9891\u9700\u6c42\u800c\u751f\uff0c\u5c1a\u672a\u771f\u6b63\u8986\u76d6\u66f4\u5e7f\u7684\u97f3\u9891\u5de5\u4f5c\u8005\u3002\u4ece\u5546\u4e1a\u89d2\u5ea6\u770b\uff0c\u8fd9\u7c7b\u4efb\u52a1\u4e00\u65e6\u88ab\u4e3b\u6d41\u64cd\u4f5c\u7cfb\u7edf\u6216\u4e91\u5e73\u53f0\u4f5c\u4e3a\u539f\u751f\u529f\u80fd\u96c6\u6210\uff0c\u751f\u5b58\u7a7a\u95f4\u4f1a\u8fc5\u901f\u6536\u7a84\u3002\u597d\u5728\u5176\u201c\u4e24\u5929 AI \u8f85\u52a9\u5f00\u53d1\u201d\u7684\u53d9\u4e8b\u672c\u8eab\u6210\u4e3a\u4e86\u4e00\u4e2a\u8425\u9500\u5356\u70b9\uff0c\u5e76\u53ef\u80fd\u88ab\u590d\u5236\u5230\u66f4\u591a\u7ec6\u5206\u5de5\u5177\u4e0a\uff0c\u5f62\u6210\u201c\u5feb\u901f\u9a8c\u8bc1 + \u793e\u533a\u5171\u9e23\u201d\u7684\u6a21\u5f0f\u3002\u603b\u7684\u6765\u8bf4\uff0c\u5b83\u662f\u4e00\u4e2a\u4f18\u79c0\u7684\u5fae\u521b\u65b0 Demo\uff0c\u6709\u4ef7\u503c\uff0c\u4f46\u4e0a\u9650\u6e05\u6670\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\">MediaSeg<\/span>\n <\/div>\n<div class=\"comment-content\">MediaSeg is a local macOS utility that splits large media files into upload-ready chunks while preserving quality. It was produced and directed with full AI assistance, and shipped in 2 days from idea to public release. Originally created to streamline long-recording upload prep, MediaSeg is useful for NotebookLM and other size-limited upload destinations.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">MediaSeg is a local macOS utility that splits large media files into upload-ready chunks while preserving quality.<\/p>\n<p>It was produced and directed with full AI assistance, and shipped in 2 days from idea to public release.<\/p>\n<p>Feedback welcome on workflow clarity, screenshots, and positioning.<\/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<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>As a music producer I hit this constantly with long mixdowns and stem bounces that blow past upload caps \u2014 does it handle audio-only files (WAV\/AIFF) too, or is it video-first for now? Local + ffmpeg stream copy is exactly the right call.<\/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\/@lennoxbeflying\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lennoxbeflying<\/a> Audio-only support is not in the current release; the app is video-first for now. Current supported inputs are MP4 and WEBM, and audio-only formats are on the roadmap.<\/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 workflow annoyance. Zoom recordings and long interview clips are exactly the kind of files that break upload limits constantly, and the existing options are either clunky web tools or rolling your own ffmpeg commands. The macOS-native angle is smart – nobody wants a browser tab for this. Shipped in 2 days from idea is impressive too. What’s the largest file you’ve tested it on, and does it handle multi-track audio correctly after splitting?<\/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> The largest file we\u2019ve tested so far is a 7.7GB MP4. I haven\u2019t run a dedicated multi-track audio sample yet, so that\u2019s the next thing I want to verify.<\/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 one of those tools you don’t think about until you hit 2gb uplload limit and waste time compressing everything.<\/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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@aleksander_brousseau\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@aleksander_brousseau<\/a> Exactly \u2014 this is meant for the \u201cget past the upload cap\u201d workflow, without having to craft a one-off ffmpeg command every 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>stream-copy by size is the honest call \u2014 but when a cut lands mid-GOP, the next chunk opens with no i-frame, so anything that re-decodes per chunk (notebooklm) eats garbage till the next keyframe. snapping the boundary to the nearest keyframe is the usual escape hatch.<\/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> Yes \u2014 if a downstream system decodes each chunk independently, boundary artifacts can matter. MediaSeg is an upload-prep tool rather than a frame-accurate editor, so it keeps the current size-based stream-copy 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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How big is the largest file you\u2019ve run through? I\u2019m curious where the limit is, with NotebookLM recordings I once struggled with 4GB files and the standard tools were crying.<\/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> For the NotebookLM-style workflow, we\u2019re targeting 100MB\u2013200MB chunks. The largest source file we\u2019ve tested so far is a 7.7GB MP4, which is already in the range of the long-form recordings people keep running into upload limits with.<\/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>Honestly the kind of thing where the whole pitch is just “yeah, I needed this and got tired of waiting.” \ud83d\ude05 Hitting upload caps on long recordings is such a quiet, recurring papercut. And local + no re-encode is exactly the right call. <\/p>\n<p>Slick. Congrats on shipping it \ud83d\udc4f<\/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\/@oleg_tsizdyn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@oleg_tsizdyn<\/a> Yes. MP4 splitting stays on ffmpeg stream copy, so the split step does not re-encode the media. WEBM is converted to MP4 first, then split locally.<\/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 split on keyframes to avoid glitches, or is it strictly by file size?<\/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> MediaSeg currently splits by target size using ffmpeg stream copy, not by explicit keyframe alignment.<\/p>\n<p>It keeps the workflow simple and local, while still aiming for clean upload-ready chunks.<\/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 default for long recordings. One positioning detail I would make very explicit: whether the split path uses stream copy vs re-encode. “Preserving quality” lands harder when people know the media is not being touched unnecessarily.<\/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> Love the simplicity of this! \ud83c\udf89 Wrestling with manual video splitting just to upload files to AI platforms is incredibly tedious. A dedicated local macOS tool that handles this cleanly while preserving quality is exactly what heavy NotebookLM users need.<\/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\/@krekeltronics\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krekeltronics<\/a> Agreed. MediaSeg keeps the split path local and uses ffmpeg stream copy, so MP4 files are not re-encoded during splitting. WEBM inputs are converted to MP4 first, then split.<\/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\">Anyone who\u2019s wrestled a giant video file that won\u2019t just upload knows exactly why it needs to exist. Simple, specific, useful. Good work!<\/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\/@anusuya_bhuyan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@anusuya_bhuyan<\/a> 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\">#10<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/YMDF4CNQMIWJYC\" class=\"app-title\">Clawd<\/a><\/p>\n<div class=\"one-liner\">A context-aware browser mascot with 100% local offline AI<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">116<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Clawd\u662f\u4e00\u6b3e\u57fa\u4e8e100%\u672c\u5730\u79bb\u7ebfAI\u7684\u6d4f\u89c8\u5668\u684c\u9762\u5ba0\u7269\uff0c\u901a\u8fc7\u5b9e\u65f6\u611f\u77e5\u7f51\u9875\u60c5\u611f\u548c\u5185\u5bb9\uff0c\u4e3a\u7528\u6237\u5728\u67af\u71e5\u7684\u6d4f\u89c8\u8fc7\u7a0b\u4e2d\u63d0\u4f9b\u8da3\u5473\u4e92\u52a8\u4e0e\u966a\u4f34\uff0c\u89e3\u51b3\u6d4f\u89c8\u5668\u73af\u5883\u4e0b\u7f3a\u4e4f\u4e2a\u6027\u5316\u548c\u9690\u79c1\u4fdd\u969c\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\/5bfae151-2ae0-4987-898b-3a98c775a5c3.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\/b898e00e-c3bc-47f8-a8e7-03f5bf1a9617.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\/a6360e9c-e05c-447b-86e5-4536b33fab32.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\/fd00f432-37c1-4723-8d1e-783077d794b5.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\">Chrome Extensions<\/span><br \/>\n <span class=\"tag\">Productivity<\/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\">\u6d4f\u89c8\u5668\u5ba0\u7269<\/span><br \/>\n <span class=\"tag\">\u684c\u9762\u4f34\u4fa3<\/span><br \/>\n <span class=\"tag\">\u672c\u5730AI<\/span><br \/>\n <span class=\"tag\">\u9690\u79c1\u4f18\u5148<\/span><br \/>\n <span class=\"tag\">\u60c5\u611f\u611f\u77e5<\/span><br \/>\n <span class=\"tag\">Chrome\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">\u79bb\u7ebfAI<\/span><br \/>\n <span class=\"tag\">ONNX Runtime<\/span><br \/>\n <span class=\"tag\">Gemini Nano<\/span><br \/>\n <span class=\"tag\">\u6d4f\u89c8\u5668\u63d2\u4ef6<\/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\u5bf9\u672c\u5730\u79bb\u7ebf\u5904\u7406\u548c\u9690\u79c1\u4fdd\u62a4\u8868\u793a\u8ba4\u53ef\uff0c\u4f46\u6838\u5fc3\u62c5\u5fe7\u96c6\u4e2d\u5728\u6027\u80fd\u5f00\u9500\u4e0a\uff0c\u5305\u62ecCPU\u3001\u5185\u5b58\u5360\u7528\u4ee5\u53ca\u5bf9\u591a\u6807\u7b7e\u9875\u7684\u5f71\u54cd\u3002\u4e0d\u5c11\u7528\u6237\u8d28\u7591\u5176\u201c\u60c5\u611f\u611f\u77e5\u201d\u80fd\u5426\u6210\u4e3a\u957f\u671f\u4f7f\u7528\u7684\u9a71\u52a8\u529b\uff0c\u800c\u975e\u4ec5\u4e00\u65f6\u65b0\u9c9c\u3002\u5f00\u53d1\u8005\u56de\u5e94\u5f3a\u8c03\u4ec5\u626b\u63cf\u6807\u9898\u548c\u63cf\u8ff0\uff08\u9650500\u5b57\u7b26\uff09\uff0c\u52a8\u753b\u4f9d\u6258GPU\uff0c\u6027\u80fd\u4f18\u5316\u8f83\u597d\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 Clawd\u7cbe\u51c6\u5730\u51fb\u4e2d\u4e86\u4e24\u4e2a\u7fa4\u4f53\u7684\u60c5\u7eea\uff1a\u6000\u65e7\u7684\u201c\u684c\u9762\u5ba0\u7269\u60c5\u7ed3\u201d\u548c\u73b0\u4ee3\u6280\u672f\u4fe1\u5f92\u7684\u201c\u9690\u79c1\u7126\u8651\u201d\u3002\u4ece\u4ea7\u54c1\u8bbe\u8ba1\u770b\uff0c\u5b83\u806a\u660e\u5730\u89c4\u907f\u4e86AI\u529f\u80fd\u843d\u5730\u7684\u4e24\u5927\u96f7\u533a\u3002\u4e00\u662f\u6027\u80fd\u4e0d\u53ef\u63a7\uff1a\u901a\u8fc7\u9650\u5b9aDOM\u626b\u63cf\u8303\u56f4\u4e3a<title>\u548c<meta>\uff08500\u5b57\u7b26\u4e0a\u9650\uff09\uff0c\u800c\u975e\u541e\u4e0b\u6574\u4e2a\u9875\u9762\uff0c\u5b83\u5728AI\u5206\u6790\u7684\u667a\u80fd\u6027\u4e0e\u6d4f\u89c8\u5668\u8d44\u6e90\u5360\u7528\u4e4b\u95f4\u627e\u5230\u4e86\u4e00\u4e2a\u52a1\u5b9e\u5e73\u8861\u70b9\u3002\u8fd9\u79cd\u201c\u91c7\u6837\u800c\u975e\u5168\u91cf\u201d\u7684\u5de5\u7a0b\u7b56\u7565\uff0c\u8ba9\u672c\u5730\u63a8\u7406\u5f97\u4ee5\u5728\u6beb\u79d2\u7ea7\u5b8c\u6210\uff0c\u56de\u5e94\u4e86\u7528\u6237\u5bf9\u5185\u5b58\u548cCPU\u5f00\u9500\u7684\u6838\u5fc3\u8d28\u7591\u3002\u4e8c\u662f\u9690\u79c1\u4fe1\u4efb\uff1a100%\u79bb\u7ebf\uff0c\u4e0d\u7528\u7b2c\u4e09\u65b9API\uff0c\u4e0d\u4ec5\u662f\u4e00\u4e2a\u5dee\u5f02\u70b9\uff0c\u66f4\u662f\u4e00\u79cd\u6280\u672f\u59ff\u6001\u2014\u2014\u5b83\u8ba9\u201c\u9690\u79c1\u201d\u4ece\u8425\u9500\u53e3\u53f7\u53d8\u6210\u4e86\u53ef\u9a8c\u8bc1\u7684\u5de5\u7a0b\u4e8b\u5b9e\uff0c\u800c\u56de\u5e94\u4e2d\u5bf9\u5f00\u6e90\u5efa\u8bae\u7684\u56de\u907f\uff0c\u53cd\u800c\u7559\u4e0b\u4e86\u4e00\u4e1d\u7591\u8651\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u4ea7\u54c1\u771f\u6b63\u7684\u6311\u6218\u5e76\u975e\u6280\u672f\uff0c\u800c\u662f\u201c\u6301\u7eed\u6027\u201d\u3002Clawd\u9762\u4e34\u7684\u662f\u6240\u6709\u201c\u589e\u5f3a\u578b\u4e92\u52a8\u5de5\u5177\u201d\u7684\u7ec8\u6781\u8003\u9a8c\uff1a\u5982\u4f55\u5728\u65b0\u9c9c\u611f\u892a\u53bb\u540e\uff0c\u4f9d\u7136\u8ba9\u7528\u6237\u89c9\u5f97\u5b83\u4e0d\u53ef\u6216\u7f3a\uff1f\u5f53\u524d\u7684\u6838\u5fc3\u673a\u5236\u2014\u2014\u6d4f\u89c8\u65f6\u89e3\u9501\u52a8\u753b\u4e0e\u4e92\u52a8\u2014\u2014\u672c\u8d28\u4e0a\u662f\u4e00\u79cd\u201c\u88ab\u52a8\u966a\u4f34\u201d\u3002\u5b83\u786e\u5b9e\u6bd4\u9759\u6001\u56fe\u6807\u591a\u4e86\u53cd\u5e94\uff0c\u4f46\u82e5\u4e0d\u80fd\u8ba9\u7528\u6237\u4e3b\u52a8\u201c\u60f3\u73a9\u201d\uff0c\u5c31\u6781\u6613\u6ca6\u4e3a\u80cc\u666f\u6446\u8bbe\u3002Voice Chat\u4e0e\u81ea\u5b9a\u4e49\u4eba\u8bbe\uff08\u5982\u6bd2\u820c\u3001Z\u4e16\u4ee3\uff09\u6216\u8bb8\u662f\u4e00\u6761\u51fa\u8def\uff0c\u4f46\u76ee\u524d\u5c1a\u672a\u6210\u4e3a\u64ac\u52a8\u7528\u6237\u65e5\u5e38\u4ea4\u4e92\u7684\u6838\u5fc3\u573a\u666f\u3002\n <\/p>\n<p class=\"ai-content\">\n \u6574\u4f53\u800c\u8a00\uff0cClawd\u5728\u4ea7\u54c1\u6267\u884c\u4e0a\u5408\u683c\uff0c\u5de5\u7a0b\u53d6\u820d\u8001\u7ec3\uff0c\u4e14\u627e\u5230\u4e86\u4e00\u4e2a\u5de7\u5999\u7684\u5229\u57fa\u5e02\u573a\u3002\u4f46\u8981\u771f\u6b63\u4ece\u201c\u6709\u8da3\u7684\u63d2\u4ef6\u201d\u8fdb\u5316\u4e3a\u201c\u6d4f\u89c8\u5668\u7684\u5fc5\u5907\u4f34\u4fa3\u201d\uff0c\u5b83\u8fd8\u9700\u8981\u4ece\u201c\u53cd\u5e94\u6027\u966a\u4f34\u201d\u8f6c\u5411\u201c\u4e3b\u52a8\u6027\u4ef7\u503c\u8f93\u51fa\u201d\uff0c\u6bd4\u5982\u57fa\u4e8e\u4e0a\u4e0b\u6587\u63d0\u4f9b\u66f4\u5b9e\u8d28\u7684\u6548\u7387\u5efa\u8bae\u6216\u4fe1\u606f\u6458\u8981\u3002\u5426\u5219\uff0c\u5b83\u6ce8\u5b9a\u53ea\u662f\u6570\u5b57\u684c\u5ba0\u8d5b\u9053\u4e0a\u7684\u4e00\u53ea\u201c\u9ad8\u667a\u5546\u91d1\u4e1d\u96c0\u201d\u2014\u2014\u597d\u770b\uff0c\u4f46\u7ec8\u7a76\u4f1a\u5fd8\u4e86\u5582\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\">Clawd<\/span>\n <\/div>\n<div class=\"comment-content\">Meet Clawd, the context-aware browser pet that truly understands your vibe. Clawd crawls your screen, reacts to website sentiment, and levels up to unlock 140+ animations. He\u2019s more than just a mascot. Use the new voice-enabled Chat to talk to him in custom personas (Sarcastic, Gen Z), complete with Markdown support and text-to-speech! Best of all? It\u2019s 100% offline and privacy-first. Your data never leaves your machine. Clawd is your ultimate browsing companion!<\/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>I\u2019ve always missed the simple joy of desktop companions from the 90s (shoutout to Shimejis and BonziBuddy!), but I wanted something that felt truly “alive” in the modern web.<\/p>\n<p>Clawd was born from a simple challenge: Can an AI pet be incredibly smart, highly interactive, and 100% private at the same time?<\/p>\n<p>By leveraging Chrome’s built-in Gemini Nano alongside on-device machine learning (ONNX Runtime), Clawd “vibe-checks” every page you visit entirely locally. He knows when you\u2019re debugging a crash on GitHub, relaxing on YouTube or doomscrolling on social media\u2014and he reacts to all of it.<\/p>\n<p>What makes Clawd special:<\/p>\n<ul>\n<li>\n<p>100% Private AI: Sentiment analysis and chat happen entirely on-device. No API keys, zero latency, and no data leaves your machine.<\/p>\n<\/li>\n<li>\n<p>Interactive Voice & Chat: Speak to Clawd via your microphone or text. He replies using text-to-speech voice playback, Markdown formatting, and custom personas (Sarcastic, Gen Z, Encouraging, etc.).<\/p>\n<\/li>\n<li>\n<p>Distraction-Free & Optimized: We know your browser footprint matters! Use the Focus Mode to completely silences Clawd or Ghost Mode to dynamically fade Clawd’s opacity down while you are actively typing or scrolling, and toggle Performance Mode to cap the physics engine and save battery on low-end machines. <\/p>\n<\/li>\n<li>\n<p>Custom Physics: He doesn’t just sit there; he crawls the ceiling and snaps to edges.<\/p>\n<\/li>\n<li>\n<p>Leveling & Progression: Earn XP simply by browsing to unlock 140+ animations, interactive toys, and rare cosmetic auras.<\/p>\n<\/li>\n<\/ul>\n<p>I built this for anyone who spends their entire day in a browser and wants a little more fun and personality in their workspace. I\u2019d love to hear your feedback on his new chat features, or any ideas for new toys and animations to add!<\/p>\n<\/p>\n<p>Happy browsing!<\/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\/@fuijidevv\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fuijidevv<\/a> Did you make those cute-animations yourself??<\/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\/@fuijidevv\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fuijidevv<\/a> A browser pet that actually reacts to page context is a genuinely fun idea \u2014 and the offline-first approach is the right call for something that reads your screen.<\/p>\n<p>Two things I’m curious about:<\/p>\n<p>Memory footprint \u2014 how heavy is it in practice? Screen-reading + 140+ animations running in the background sounds like it could get hungry. What’s the typical RAM usage?<\/p>\n<p>On the privacy angle \u2014 since it reads screen content, have you considered open sourcing it? For a tool making privacy-first claims, an open codebase lets users verify that rather than just trust it. That could actually become one of your strongest selling points with the privacy-conscious crowd.<\/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 nostalgia angle is real – I grew up with Shimeji and BonziBuddy too. But my honest question is whether the “context-aware” part adds enough to make this a daily driver vs. a novelty you install, smile at for a week, and then disable. The local AI for sentiment analysis is cool in theory, but I’d want to know what the actual CPU\/memory overhead looks like on an average laptop with 15+ tabs open. That’s usually what kills these ambient extensions for me.<\/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 gemini nano + onnx split is the smart part \u2014 nano’s gated behind chrome flags and a multi-gig pull on most machines, so the 67mb onnx model is what actually carries the 100%-local promise for everyone 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=\"comment-item\">\n<div class=\"comment-content\">\n<p>The 100% local offline processing is a real differentiator – curious what model is actually running under the hood and whether it performs well on machines without a dedicated GPU?<\/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>Running inference entirely local inside a browser extension is a real engineering constraint. Gemini Nano with ONNX Runtime is a smart choice. Context injection from the DOM has to be selective or you’ll overwhelm the local model’s context window. How do you handle it when the page is large? Does Clawd summarize DOM sections or use a fixed token budget?<\/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> Clawd doesn’t actually scrape the entire DOM body. Instead, he extracts only the <title> and <meta> description tags, which strictly truncate to a maximum of 500 characters. <\/p>\n<p>This fixed character budget is piped to our Offscreen Document hosting the WebAssembly-compiled ONNX Runtime. This approach gives us just enough semantic meaning to evaluate the page’s sentiment and intent accurately without ever risking token limit overflow, and it keeps CPU overhead incredibly low so we don’t lag the user’s browsing 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\">\n<p>The local\/offline angle is the part that makes this interesting to me. A browser pet can get creepy fast if page context leaves the machine, so using on-device sentiment and Gemini Nano is a good boundary. The hard product question is making Clawd feel alive without stealing focus. Curious what signals trigger a proactive reaction versus keeping him quiet.<\/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>Wait this is actually nostalgic. Desktop pets were the best part of the early internet. The fact that it runs fully local and reacts to what you’re browsing is wild. Does it slow down Chrome at all though? My tabs are already fighting for memory.<\/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 heavy is the model to run?<\/p>\n<p>are you not afraid that the name is too close to Claude and might be taken down by Anthropic?<\/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\/@fberrez1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fberrez1<\/a> It\u2019s a quantized ~67MB download that caches locally. It only scans the page <title> and <meta> description (capped at 500 characters), so it runs in milliseconds. As for the name, it\u2019s just a pun on ‘claws’. The original open-source SVG asset library I adapted the art from was named clawd-pet by its creator, so I kept it to honor 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<div class=\"reply-item\">\n<div class=\"reply-content\">@fuijidevv yeah the maker of OpenClaw originally called it Clawd but changed to OpenClaw when anthropic tried to sue<\/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 90s desktop pet nostalgia is real. the fact that it runs 100% local with no data leaving your machine makes it way more trustworthy than it needs to be for a browser pet. the sentiment analysis that reacts to what you’re browsing is a fun touch too… curious if it judges me for my 3am wikipedia rabbit holes<\/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\/@tina_chhabra\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tina_chhabra<\/a> haha, thanks! And yes, he absolutely judges you. On Wikipedia, he usually puts on his ‘Scholar’ hat to read along with 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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What’s the actual CPU and memory footprint when Clawd is analyzing pages 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<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> Animations are offloaded to the GPU using the native Web Animations API, and background syncing is strictly throttled so it only runs on active tabs. For the AI analysis, it only scans the page <title> and <meta> description (capped at 500 characters) instead of the whole page body, so it barely uses any CPU!<\/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\/JB3WOBST7RHX4L\" class=\"app-title\">Selector Forge<\/a><\/p>\n<div class=\"one-liner\">Browser extension for AI-generated resilient selectors<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">113<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Selector Forge \u662f\u4e00\u6b3e\u5229\u7528AI\u751f\u6210\u8bed\u4e49\u5316\u3001\u6297\u9875\u9762\u53d8\u5316\u7684CSS\u548cXPath\u9009\u62e9\u5668\u7684\u6d4f\u89c8\u5668\u6269\u5c55\uff0c\u4e13\u4e3a\u89e3\u51b3\u7f51\u9875\u81ea\u52a8\u5316\u811a\u672c\u4e2d\u56e0\u5e03\u5c40\u4fee\u6539\u5bfc\u81f4\u7684\u9009\u62e9\u5668\u5931\u6548\u75db\u70b9\u800c\u8bbe\u8ba1\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\/639cec74-2e57-4603-b338-f618e20ac82e.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\/5aa1045b-8156-4f0e-a83a-2fd0c7c7a0cb.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\/98f87637-623e-4bfe-9113-c1c2cb49c89a.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\/5b9f7014-1b6c-40d0-aba0-805459638528.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\/25f514ff-f454-4252-a496-fd991a64a2cf.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\/3875d325-6420-4cdd-9ae9-4c6fecd489b7.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\/a3918c44-a5ce-488b-85a2-1a860d453049.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/8IjjeDQkKmo\"><source src=\"https:\/\/youtu.be\/8IjjeDQkKmo\" 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\">Chrome Extensions<\/span><br \/>\n <span class=\"tag\">Open Source<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u9009\u62e9\u5668\u751f\u6210<\/span><br \/>\n <span class=\"tag\">\u6d4f\u89c8\u5668\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">\u7f51\u9875\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">CSS\u9009\u62e9\u5668<\/span><br \/>\n <span class=\"tag\">XPath\u9009\u62e9\u5668<\/span><br \/>\n <span class=\"tag\">\u8bed\u4e49\u5316\u9009\u62e9\u5668<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90<\/span><br \/>\n <span class=\"tag\">Chrome\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">Firefox\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">\u6d4b\u8bd5\u7a33\u5b9a\u6027<\/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\u89e3\u51b3\u9009\u62e9\u5668\u8106\u5f31\u7684\u75db\u70b9\uff0c\u5e76\u8ffd\u95eeAI\u662f\u5426\u4f18\u5148\u4f7f\u7528aria-label\u7b49\u7a33\u5b9a\u5c5e\u6027\u3002\u6709\u7528\u6237\u5173\u6ce8\u5931\u8d25\u540e\u7684\u5904\u7406\u673a\u5236\uff0c\u671f\u671b\u80fd\u5c55\u793a\u5339\u914d\u8be6\u60c5\u3001\u53d8\u66f4\u539f\u56e0\u548c\u964d\u7ea7\u8def\u5f84\u3002\u53e6\u6709\u5efa\u8bae\u589e\u52a0\u624b\u52a8\u56fa\u5b9a\u7279\u5b9a\u5c5e\u6027\u7684\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 Selector Forge\u5207\u4e2d\u4e86\u7f51\u9875\u81ea\u52a8\u5316\u4e0e\u722c\u866b\u9886\u57df\u7684\u201c\u963f\u5580\u7409\u65af\u4e4b\u8e35\u201d\u2014\u2014\u8106\u5f31\u7684\u9009\u62e9\u5668\u3002\u4e0e\u5176\u8bf4\u5b83\u662f\u4e2a\u9762\u5411\u666e\u901a\u7528\u6237\u7684\u5de5\u5177\uff0c\u4e0d\u5982\u8bf4\u5b83\u662f\u4e00\u4e2a\u4e3a\u5f00\u53d1\u8005\u4e0eAI Agent\u63d0\u4f9b\u57fa\u7840\u8bbe\u65bd\u7684\u7cbe\u51c6\u90e8\u4ef6\u3002\u4ece\u8bc4\u8bba\u533a\u53ef\u4ee5\u770b\u51fa\uff0c\u7528\u6237\u771f\u6b63\u5173\u5fc3\u7684\u5e76\u975e\u534e\u4e3d\u7684\u754c\u9762\uff0c\u800c\u662f\u201c\u5931\u8d25\u673a\u5236\u201d\uff1a\u5f53\u9875\u9762\u53d8\u5316\u540e\uff0c\u5de5\u5177\u80fd\u5426\u6e05\u6670\u5730\u544a\u8bc9\u6211\u4e3a\u4ec0\u4e48\u5931\u8d25\uff1f\u662f\u9519\u9009\u4e86\u8fd8\u662f\u6ca1\u9009\u5230\uff1f\u8fd9\u624d\u662f\u5de5\u7a0b\u5316\u843d\u5730\u7684\u5173\u952e\u95e8\u69db\u3002\n <\/p>\n<p class=\"ai-content\">\n \u8be5\u4ea7\u54c1\u7684\u771f\u6b63\u4ef7\u503c\u5728\u4e8e\u201cAgent\u5316\u201d\u4e0e\u201c\u8bed\u4e49\u5316\u201d\u7684\u534f\u540c\u3002\u8fc7\u5f80\u7684\u201c\u590d\u5236\u9009\u62e9\u5668\u201d\u662f\u7eaf\u673a\u68b0\u7684DOM\u8def\u5f84\u63d0\u53d6\uff0c\u800cSelector Forge\u901a\u8fc7AI\u5f15\u5165\u4e86\u8bed\u4e49\u7406\u89e3\uff0c\u5c1d\u8bd5\u4ece\u201c\u8fd9\u4e32\u6807\u7b7e\u5728\u54ea\u513f\u201d\u8f6c\u5411\u201c\u8fd9\u4e32\u6807\u7b7e\u662f\u4ec0\u4e48\u201d\u3002\u8fd9\u79cd\u601d\u8def\u5728\u9762\u5bf9\u9891\u7e41\u91cd\u6784\u7684\u524d\u7aef\u4ee3\u7801\u65f6\u5177\u6709\u660e\u663e\u7684\u6297\u8870\u6027\u3002\u7136\u800c\uff0c\u4ea7\u54c1\u76ee\u524d\u7684\u201c\u9ed1\u76d2\u201d\u7279\u6027\u662f\u9690\u60a3\u2014\u2014\u5b83\u9ed8\u8ba4\u8fd4\u56de\u4e00\u4e2a\u201c\u53ef\u9760\u201d\u9009\u62e9\u5668\uff0c\u5374\u5bf9\u4e3a\u4f55\u9009\u62e9\u3001\u5982\u4f55\u5931\u6548\u7f3a\u4e4f\u89e3\u91ca\u3002\u8fd9\u4f1a\u5bfc\u81f4\u5f00\u53d1\u8005\u96be\u4ee5\u4fe1\u4efbAI\u7684\u51b3\u7b56\uff0c\u4e5f\u96be\u4ee5\u8c03\u8bd5\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ece\u6218\u7565\u5c42\u9762\u770b\uff0c\u5f00\u6e90\u548c\u627f\u8bfa\u652f\u6301CLI\/MCP\u534f\u8bae\u624d\u662f\u5176\u6700\u5927\u7684\u62a4\u57ce\u6cb3\u3002\u771f\u6b63\u7684\u76ee\u6807\u5ba2\u6237\u4e0d\u662f\u624b\u52a8\u70b9\u9009\u7684\u5f00\u53d1\u8005\uff0c\u800c\u662f\u7c7b\u4f3cIntuned\u81ea\u8eab\u7684\u7f16\u7801Agent\uff0c\u5b83\u4eec\u9700\u8981\u7684\u662f\u4e00\u4e2a\u53ef\u7f16\u7a0b\u7684\u3001\u80fd\u7a33\u5b9a\u8fd4\u56de\u8bed\u4e49\u9009\u62e9\u5668\u7684\u201c\u5fae\u670d\u52a1\u201d\u3002Selector Forge\u4f5c\u4e3aIntuned Agent\u884d\u751f\u7684\u201c\u5de5\u5177\u201d\uff0c\u6a21\u5f0f\u806a\u660e\uff1a\u65e2\u9a8c\u8bc1\u4e86\u81ea\u8eab\u6280\u672f\uff0c\u53c8\u5207\u51fa\u4e86\u4e00\u5757\u72ec\u7acb\u5e02\u573a\u3002\u4f46\u6708\u514d200\u6b21\u7684\u9650\u5236\u7565\u663e\u4fdd\u5b88\uff0c\u5bf9\u4e8e\u771f\u6b63\u7684\u81ea\u52a8\u5316\u91cd\u5ea6\u7528\u6237\uff0c\u8fd9\u66f4\u50cf\u662f\u4e00\u4e2a\u201c\u8bd5\u7528\u88c5\u201d\u3002\u603b\u4f53\u800c\u8a00\uff0c\u8fd9\u662f\u4e00\u4e2a\u89e3\u51b3\u771f\u5b9e\u5de5\u7a0b\u75db\u70b9\u7684\u52a1\u5b9e\u5de5\u5177\uff0c\u4f46\u82e5\u60f3\u6210\u4e3a\u884c\u4e1a\u6807\u51c6\uff0c\u5fc5\u987b\u5c3d\u5feb\u8865\u4e0a\u201c\u900f\u660e\u5316\u51b3\u7b56\u8fc7\u7a0b\u201d\u4e0e\u201c\u53ef\u7f16\u7a0b\u63a5\u53e3\u201d\u8fd9\u4e24\u5757\u5173\u952e\u62fc\u56fe\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\">Selector Forge<\/span>\n <\/div>\n<div class=\"comment-content\">Browser extension to create reliable CSS and XPath selectors using AI. You can use it to create a selector for a single element or for an array of elements. The selectors it creates are meant to be “semantic” and more resilient to page changes! Extension is also open source on GitHub: https:\/\/github.com\/Intuned\/selector-forge<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey everyone! I’m Ahmad, co-founder at Intuned. Excited to share Selector Forge.<br \/>\nSelector Forge is a free browser extension that uses AI to generate reliable CSS and XPath selectors. You can create one for a single element or for a list of elements.<br \/>\nThe selectors it builds are “semantic,” so they hold up better when a page changes. Chrome DevTools’ “Copy Selector” (and similar tools) usually give you something brittle like #top > div.w-100.ph0-l.ph3.ph4-m > h1 > span, which breaks with the smallest layout change. Selector Forge aims for selectors that survive those changes, for example: \/\/div[@aria-label=”Showing weekly downloads”]\/\/p[@aria-live=”polite”].<br \/>\nWhy we built it: For the past couple of years we’ve been building Intuned Agent, a coding agent for browser automations. We learned fast that selectors are the most fragile part of any browser code, and that good selectors go a long way toward making automations reliable. So we split selector creation into its own agent and let our main agent call it as a tool. LLMs aren’t great at this by default, so it made a real difference in the code quality.<br \/>\nWe figured this piece is useful on its own, so we packaged it as an extension. That’s what we’re launching today.<br \/>\nA few details:<\/p>\n<p>Open source (code on GitHub)<br \/>\nWorks on Chrome and Firefox<br \/>\nFree for up to 200 selectors a month, unlimited on paid plans<\/p>\n<p>What’s next: most developers aren’t writing this code by hand anymore, so we want coding agents to call it directly over a CLI or MCP. Our roadmap is on GitHub.<br \/>\nLinks:<\/p>\n<p>Site: <a href=\"https:\/\/selectorforge.ai\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/selectorforge.ai\/<\/a><br \/>\nChrome: <a href=\"https:\/\/chromewebstore.google.com\/detail\/lbendfnlmhdakbeblajoffkfmafbfaha\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/chromewebstore.google.co…<\/a><br \/>\nFirefox: <a href=\"https:\/\/addons.mozilla.org\/en-US\/firefox\/addon\/selector-forge\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/addons.mozilla.org\/en-US…<\/a><br \/>\nCode: <a href=\"https:\/\/github.com\/Intuned\/selector-forge\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/github.com\/Intuned\/selec…<\/a><br \/>\nDemo video: <a href=\"https:\/\/www.youtube.com\/watch?v=5cz6zP0zR-Q\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.youtube.com\/watch?v=5cz6zP0zR-Q<\/a><\/p>\n<p>Would love your thoughts, questions, and feedback!<\/p><\/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=\"comment-item\">\n<div class=\"comment-content\">\n<p>Nice launch! One of the biggest pain points in browser automation is flaky selectors. Curious whether the AI prioritizes attributes like aria-label, data-testid, and stable text content before considering class names.<\/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\/@yagnaveena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@yagnaveena<\/a> Thank you Sree, yes it does. You can read more about it here:<br \/><a href=\"https:\/\/intunedhq.com\/blog\/selector-forge\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/intunedhq.com\/blog\/selector-forge<\/a><\/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 problem. For AI-generated selectors, the part I would test hardest is not the first successful selector, but how it fails after the UI changes.<\/p>\n<\/p>\n<p>A strong workflow would show: the matched element count, why the selector was chosen, what changed since the last run, and a fallback path that does not silently hit the wrong element. Browser automation failures are much safer when the tool refuses to act than when it confidently clicks a nearby sibling.<\/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>Congratulations \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 semantic, resilient selectors are the part I would test first, since most scrapers break exactly when class names or DOM order shift. I like that it handles array selectors and not just single elements, which is where naive “copy selector” tooling usually falls apart. When the AI generates one, can I pin a specific stable attribute and have it build the selector around that, or is the output a single best-guess I have to accept or regenerate?<\/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\/@hi_i_am_mimo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@hi_i_am_mimo<\/a> Thank you for your comment, yes, it the extension finds the anchor and builds a selector on top of it. We don’t support pinning an attribute but you are open to submit and issue about this into <a href=\"https:\/\/github.com\/Intuned\/selector-forge\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/github.com\/Intuned\/selector-forge<\/a><\/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\u2019d want to see in practice is the failure case. When Forge rejects a selector during judging, does it show why, like over-matching, under-matching, or matching the wrong labeled field, or does it just return the best surviving option?<\/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\/@novamaker01\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@novamaker01<\/a> Just returns the reliable selector. It only reports back if none of the selector survived our judge. Feel free to checkout the open source project:<br \/><a href=\"https:\/\/github.com\/Intuned\/selector-forge\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/github.com\/Intuned\/selector-forge<\/a><\/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\">Brittle selectors have broken more of my scripts than I\u2019d like to admit. Finally, something that makes them hold, love the name too.\ufffc<\/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\/@anusuya_bhuyan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@anusuya_bhuyan<\/a> Thank you \ud83d\ude4f<\/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\/KENNVT4AGFQKXV\" class=\"app-title\">MD+HTML Reader<\/a><\/p>\n<div class=\"one-liner\">Review AI-generated Markdown and HTML in a focused workspace<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">112<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>MD+HTML Reader\u662f\u4e00\u6b3e\u4e13\u4e3amacOS\u8bbe\u8ba1\u7684\u53ea\u8bfb\u5de5\u4f5c\u533a\u5de5\u5177\uff0c\u7528\u4e8e\u5728AI\u751f\u6210\u6587\u6863\u540e\u3001\u63d0\u4ea4\u6216\u4ea4\u63a5\u524d\uff0c\u96c6\u4e2d\u6d4f\u89c8\u548c\u7ba1\u7406\u9879\u76ee\u6587\u4ef6\u5939\u4e2d\u7684Markdown\u4e0eHTML\u6587\u4ef6\uff0c\u89e3\u51b3\u56e0\u6587\u4ef6\u6563\u843d\u3001\u6df7\u6742\u800c\u5bfc\u81f4\u7684\u5ba1\u67e5\u6df7\u4e71\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 <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/b7d06897-3379-49f0-bc5a-f07879b00111.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=IZCe7KD5DMM\"><source src=\"https:\/\/www.youtube.com\/watch?v=IZCe7KD5DMM\" 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\/31c9afd9-6806-4a4f-8dcc-4df0624723f6.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\/ed4b16e6-d276-4ad1-aa68-5b7c525c5569.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\/dacfe577-7693-4b31-9759-6b63bbaa2ccc.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\/4ce44aec-2545-47e3-bf92-c2769e27573f.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\">Productivity<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u6587\u6863\u5ba1\u67e5<\/span><br \/>\n <span class=\"tag\">Markdown\u9884\u89c8<\/span><br \/>\n <span class=\"tag\">HTML\u9884\u89c8<\/span><br \/>\n <span class=\"tag\">\u53ea\u8bfb\u5de5\u4f5c\u533a<\/span><br \/>\n <span class=\"tag\">macOS\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">AI\u5de5\u4f5c\u6d41\u8f85\u52a9<\/span><br \/>\n <span class=\"tag\">\u6587\u4ef6\u8fc7\u6ee4<\/span><br \/>\n <span class=\"tag\">\u6587\u6863\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7801\u5ba1\u67e5\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\u5173\u6ce8\u5b89\u5168\u4e0e\u573a\u666f\uff1a\u5efa\u8bae\u589e\u52a0HTML\u811a\u672c\u6c99\u76d2\u6a21\u5f0f\u4ee5\u9632\u6076\u610f\u6267\u884c\uff1b\u8be2\u95ee\u76f8\u6bd4\u5728\u7ebf\u9884\u89c8\u5de5\u5177\u7684\u72ec\u7279\u4ef7\u503c\uff1b\u5173\u5fc3\u662f\u5426\u652f\u6301Linux\/Windows\uff1b\u80af\u5b9a\u201cAI\u751f\u6210\u540e\u5ba1\u67e5\u201d\u573a\u666f\u7684\u75db\u70b9\u5b9e\u7528\uff1b\u5f00\u53d1\u8005\u56de\u5e94\u5c06\u52a0\u5165\u5b89\u5168\u9884\u89c8\u8bbe\u7f6e\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 MD+HTML Reader\u5207\u4e2d\u4e86\u4e00\u4e2a\u771f\u5b9e\u4f46\u6781\u5176\u72ed\u7a84\u7684\u75db\u70b9\uff1aAI\u7f16\u7801\u5de5\u5177\u8ba9\u6587\u6863\u751f\u4ea7\u53d8\u5f97\u5bb9\u6613\uff0c\u5374\u8ba9\u5ba1\u67e5\u53d8\u5f97\u6df7\u4e71\u3002\u5b83\u6ca1\u6709\u8bd5\u56fe\u505a\u201c\u66f4\u597d\u7684\u7f16\u8f91\u5668\u201d\u6216\u201c\u66f4\u5f3a\u7684\u9884\u89c8\u5668\u201d\uff0c\u800c\u662f\u9000\u4e00\u6b65\uff0c\u63d0\u4f9b\u4e00\u4e2a\u5e72\u51c0\u3001\u53ea\u8bfb\u3001\u4e13\u6ce8\u7684\u5ba1\u67e5\u7a7a\u95f4\uff0c\u8fd9\u79cd\u514b\u5236\u503c\u5f97\u80af\u5b9a\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u4ea7\u54c1\u7684\u6838\u5fc3\u95ee\u9898\u5728\u4e8e\uff1a\u5b83\u7684\u4ef7\u503c\u51e0\u4e4e\u5b8c\u5168\u7ed1\u5b9a\u5728\u201cAI\u751f\u6210\u6587\u6863\u540e\u5ba1\u67e5\u201d\u8fd9\u4e00\u7279\u5b9a\u6d41\u7a0b\u4e0a\u3002\u4e00\u65e6\u7528\u6237\u7684\u5de5\u4f5c\u6d41\u4e0d\u4f9d\u8d56Claude Code\u3001Cursor\u8fd9\u7c7b\u9891\u7e41\u751f\u6210\u6587\u6863\u7684AI\u5de5\u5177\uff0c\u5b83\u7684\u5438\u5f15\u529b\u5c31\u5927\u6253\u6298\u6263\u3002\u4e14\u5b83\u76ee\u524d\u4ec5\u9650macOS\uff0c\u8fdb\u4e00\u6b65\u9650\u5236\u4e86\u53d7\u4f17\u8303\u56f4\u3002\u5bf9\u4e8e\u5df2\u6709VS Code\u3001Obsidian\u7b49\u9ad8\u5ea6\u53ef\u5b9a\u5236\u5de5\u5177\u7684\u5f00\u53d1\u8005\u800c\u8a00\uff0c\u662f\u5426\u503c\u5f97\u4e3a\u8fd9\u4e2a\u5355\u4e00\u73af\u8282\u4ed8\u8d39\u6216\u5207\u6362\uff0c\u4ecd\u5b58\u7591\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ece\u8bc4\u8bba\u53cd\u9988\u770b\uff0c\u5b89\u5168\u6c99\u76d2\u3001\u8de8\u5e73\u53f0\u652f\u6301\u662f\u5b9e\u9645\u7528\u6237\u6700\u76f4\u63a5\u7684\u9700\u6c42\u3002\u5f00\u53d1\u8005\u867d\u7136\u56de\u5e94\u79ef\u6781\uff0c\u4f46\u8fd9\u4e9b\u80fd\u5426\u6210\u4e3a\u7a33\u56fa\u58c1\u5792\u5c1a\u4e0d\u6e05\u695a\u3002\u66f4\u503c\u5f97\u8b66\u60d5\u7684\u662f\uff0cAI\u5de5\u5177\u8fed\u4ee3\u6781\u5feb\uff0c\u672a\u6765\u5982\u679cAI\u76f4\u63a5\u5185\u8054\u5ba1\u67e5\u6216\u81ea\u52a8\u6574\u5408\u6587\u6863\uff0c\u8fd9\u4e2a\u4e2d\u95f4\u5c42\u53ef\u80fd\u77ac\u95f4\u88ab\u74e6\u89e3\u3002\n <\/p>\n<p class=\"ai-content\">\n Mermaid\u6e32\u67d3\u3001\u5927\u7eb2\u9884\u89c8\u3001\u952e\u76d8\u5feb\u6377\u952e\u7b49\u529f\u80fd\u867d\u7136\u7cbe\u7ec6\uff0c\u4f46\u66f4\u50cf\u662f\u9526\u4e0a\u6dfb\u82b1\uff0c\u800c\u975e\u4e0d\u53ef\u66ff\u4ee3\u7684\u6838\u5fc3\u4ef7\u503c\u3002\u4ea7\u54c1\u771f\u6b63\u7684\u62a4\u57ce\u6cb3\uff0c\u6216\u8bb8\u5728\u4e8e\u5b83\u80fd\u5426\u5c06\u81ea\u5df1\u5d4c\u5165\u5230\u201cAI\u7f16\u7801\u2192\u5ba1\u67e5\u2192\u63d0\u4ea4\u201d\u7684\u95ed\u73af\u4e2d\uff0c\u5f62\u6210\u4e00\u4e2a\u6807\u51c6\u5316\u7684\u5ba1\u67e5\u534f\u8bae\u6216\u63a5\u53e3\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5982\u679cMD+HTML Reader\u80fd\u6f14\u53d8\u4e3aAI\u8f93\u51fa\u6587\u4ef6\u7684\u201c\u4e07\u80fd\u5ba1\u67e5\u5c42\u201d\uff0c\u652f\u6301\u66f4\u591a\u683c\u5f0f\u3001\u8de8\u5e73\u53f0\u3001\u5e76\u5f00\u653eAPI\u4e0eAI\u5de5\u5177\u6df1\u5ea6\u96c6\u6210\uff0c\u5b83\u624d\u53ef\u80fd\u4ece\u4e00\u4e2a\u5c0f\u4f17\u5de5\u5177\u6210\u957f\u4e3a\u5de5\u4f5c\u6d41\u57fa\u7840\u8bbe\u65bd\u3002\u5426\u5219\uff0c\u5b83\u5927\u6982\u7387\u53ea\u662f\u4e00\u4e2a\u9488\u5bf9\u7279\u5b9a\u75db\u70b9\u7684\u4f18\u96c5\u4e34\u65f6\u65b9\u6848\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\">MD+HTML Reader<\/span>\n <\/div>\n<div class=\"comment-content\">AI coding tools produce useful docs, but reviewing them can get messy. One task can leave plans, API notes, QA checklists, handoffs, diagrams, and HTML previews scattered across project folders and buried under source files, builds, logs, and dependencies. MD+HTML Reader gives you a focused macOS workspace to review generated Markdown and HTML in read-only mode before the next prompt, commit, or handoff.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hi, I\u2019m Ahab.<br \/>\nI built MD+HTML Reader because AI coding workflows created a new problem in my own work: the output is useful, but reviewing it is messy.<\/p>\n<p>Tools like Codex, Claude Code, Cursor, and other agents can generate plans, specs, handoffs, diagrams, and HTML previews. But those files often end up scattered across the project, mixed with source files, builds, logs, and dependencies. When a task touches multiple docs, I found myself constantly digging through folders or switching apps just to understand what was generated.<\/p>\n<p>MD+HTML Reader is my attempt to make that review step focused.<br \/>\nIt opens a project folder, filters for Markdown and HTML, renders them in a read-only workspace, keeps recent viewed and changed docs close, supports document titles, and helps you move through review work with shortcuts.<\/p>\n<p>It does not replace your editor. It is for the moment after AI has generated work and before you decide what to trust, change, commit, or hand off.<\/p>\n<p>I\u2019d love feedback from developers, indie makers, product builders, and technical writers who review AI-generated docs regularly.<\/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<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>AI coding tools generate a surprising amount of documentation now, but reviewing it is still pretty fragmented. Curious what percentage of your users are reviewing AI-generated docs versus human-written project documentation?The “before the next prompt, commit, or handoff” framing is interesting. In your own workflow, what type of AI-generated document caused the most pain and ultimately led you to build MD+HTML Reader?<\/p>\n<\/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\/@yagnaveena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@yagnaveena<\/a> Thank you for the thoughtful question. I really appreciate it.<\/p>\n<p>I do not have enough user data yet to answer the percentage question honestly. My current belief is that AI-generated docs are making an existing documentation problem more visible. Project docs were already scattered before, but AI coding tools can now create more review material much faster.<\/p>\n<p>The most painful case for me was reviewing the Markdown docs around one task: implementation plans, API contracts, QA checklists, handoff notes, and similar files spread across different folders. The review step became fragmented because the related context was not in one place.<\/p>\n<p>Another workflow I personally find very useful is reviewing documentation from the project level. Opening the whole project folder helps me see the documentation layer of a project more clearly, instead of only looking at whichever file I happen to open next.<\/p>\n<p>So the product is intentionally not an editor. It is a small read-only workspace for reviewing that documentation context before deciding the next action.<\/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 read-only review step after an agent generates docs is the part I’d actually use \u2014 I keep opening plan.md in my editor and half-editing it out of reflex. The thing I’d test first: when it renders the HTML previews, does it sandbox them to static rendering, or do embedded <script> tags and remote asset references actually execute inside the workspace? For agent-generated HTML I’d want to be sure nothing runs before I’ve read 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\/@hi_i_am_mimo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@hi_i_am_mimo<\/a> That\u2019s a good point. Today MD+HTML Reader treats an HTML artifact more like a local browser preview than a static HTML sanitizer.<\/p>\n<p>The main reason is rendering fidelity: a lot of generated HTML reports, slide decks, prototypes, and visual artifacts depend on CSS or JavaScript to display correctly. If the app blocked all scripts by default, some previews would look broken or misleading compared with what the file actually represents.<\/p>\n<p>That said, the boundary should be clear. The current preview runs in a sandboxed frame inside the app, uses a no-referrer policy, and opens links externally. But it is not a \u201cnothing executes\u201d static mode: scripts may run, and remote assets may be requested by the underlying WebView.<\/p>\n<p>I do think adding a stricter Safe Preview mode would be valuable. That way the browser-like preview can still serve normal HTML artifacts that need accurate rendering, while users reviewing unknown agent-generated HTML can switch to a more restricted mode for that safety-sensitive case.<\/p>\n<p>I\u2019ll add this setting in the next couple of days. Thanks a lot for the thoughtful suggestion, and I\u2019d really appreciate it if you take a deeper look at MD+HTML Reader and share more feedback from actual use.<\/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 real benefit over <a href=\"http:\/\/markdownlivepreview.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">markdownlivepreview.com<\/a>?<\/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\/@sakshamgarg\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sakshamgarg<\/a> Totally fair question. I think Markdown Live Preview is great if you want to paste or edit a single Markdown note in the browser and see it render immediately.<\/p>\n<p>MD+HTML Reader is aimed at a different workflow: reviewing files that already live in a local project folder, especially the Markdown and HTML artifacts generated by AI coding tools. It filters a project folder down to readable Markdown\/HTML, keeps the review read-only, supports rendered Markdown\/Mermaid plus local HTML preview, keeps recent viewed\/modified docs close, and does not upload document contents.<\/p>\n<p>So I wouldn\u2019t frame it as a replacement. If your job is quick Markdown editing, Markdown Live Preview may be the simpler fit. If your job is checking a pile of generated plans, reports, diagrams, and HTML artifacts across a repo before the next prompt, commit, or handoff, that\u2019s the gap MD+HTML Reader is trying to cover.<\/p>\n<p>Thanks for taking a look. I\u2019d be happy if you give MD+HTML Reader a deeper try, and I\u2019d really appreciate any feedback or suggestions from your actual use.<\/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 can definitely relate to the problem. After using AI coding tools, I often end up with plans, docs, and notes spread across multiple folders. Having a dedicated space just for reviewing Markdown and HTML before moving forward sounds really useful.<\/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\/@sousadiego11\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sousadiego11<\/a> Thank you, that is exactly the workflow I built MD+HTML Reader for.<\/p>\n<p>MD+HTML Reader gives the AI-generated doc review step its own focused workspace, so the \u201creview before commit, next prompt, or handoff\u201d moment becomes calmer and easier to trust.<\/p>\n<p>Beyond that, I also added features that help in day-to-day review work: quickly returning to recently viewed or recently changed documents, and browsing by document title when filenames are unclear. You can see more concrete examples near the end of the video.<\/p>\n<p>There are also features that are not shown in the video, such as outline preview, collapse\/expand, quick positioning, and keyboard shortcuts. They are all designed to make AI agent workflows easier to review and manage. I\u2019d be very happy for you to try it and share any feedback.<\/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! Any plans to launch it for other platforms? (like Linux)<\/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\/@ashishkingdom\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ashishkingdom<\/a> Thanks a lot! I\u2019m starting with macOS because that is where my own workflow is today, and I want to make the local folder review experience reliable before expanding. The macOS app already supports auto-updates, so users can automatically keep getting future improvements.<\/p>\n<p>Linux\/Windows are very interesting to me too. If there is demand, I\u2019d be very happy to build and provide versions for those systems. If Linux or Windows would be useful for your workflow, I\u2019d love to know which platform matters most to you.<\/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>Thanks everyone for taking a look. I really appreciate the attention and feedback.<\/p>\n<p>Feel free to ask me anything in the comments. I will use three quick Q&As below to explain the user pain I am thinking about and where I see the value of MD+HTML Reader.<\/p>\n<p><strong>Q: What problem does it solve?<\/strong><\/p>\n<p>AI coding tools now generate a lot of useful project documentation: implementation plans, API contracts, QA checklists, handoff notes, and HTML previews. The problem is that these files often live across different folders and get buried under source code, build outputs, logs, and dependencies.<\/p>\n<p>MD+HTML Reader gives you one focused place to review the Markdown and HTML files that actually need attention.<\/p>\n<p><strong>Q: Why not just use VS Code or a browser?<\/strong><\/p>\n<p>VS Code is great for editing code, and browsers are great for opening web pages. But the review step is different.<\/p>\n<p>When I am reviewing generated docs before the next prompt, commit, or handoff, I want a quieter read-only workspace: open the whole project folder, filter out project noise, preview Markdown and HTML, and keep recent context easy to return to.<\/p>\n<p><strong>Q: What are the most useful features?<\/strong><\/p>\n<p>The most useful features are project-folder scanning, Markdown\/HTML filtering, read-only preview, recent documents, recently changed documents, document-title browsing when filenames are unclear, and quick navigation back to the context you were just reviewing.<\/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\">#13<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/5XUO6E5A7ZZRXC\" class=\"app-title\">OnBrand by SlideSpeak<\/a><\/p>\n<div class=\"one-liner\">Design context for AI agents<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">106<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>OnBrand\u901a\u8fc7MCP\u534f\u8bae\u4e3aAI\u667a\u80fd\u4f53\u6ce8\u5165\u54c1\u724c\u8bbe\u8ba1\u4e0a\u4e0b\u6587\uff0c\u89e3\u51b3\u4f01\u4e1a\u4f7f\u7528AI\u751f\u6210\u5185\u5bb9\u65f6\u54c1\u724c\u89c6\u89c9\u3001\u5e03\u5c40\u548c\u8d44\u4ea7\u4e0d\u4e00\u81f4\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\/7561caba-65d6-4402-81c8-290271399f07.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\/06da9e92-1ce7-423c-876f-be1917aa14d9.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\/ae70e0ee-35f1-4cc1-92d3-4eaac49d1fba.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\/47ad926a-01bd-4a38-992e-2efddf1e2297.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\/95e7bb4d-ed52-41bd-a57d-4dc8d5b40b9b.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=YHgok4fnla4\"><source src=\"https:\/\/www.youtube.com\/watch?v=YHgok4fnla4\" 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\">Branding<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u54c1\u724c\u6307\u5357\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">AI\u667a\u80fd\u4f53\u8bbe\u8ba1\u4e0a\u4e0b\u6587<\/span><br \/>\n <span class=\"tag\">MCP\u534f\u8bae<\/span><br \/>\n <span class=\"tag\">\u54c1\u724c\u8d44\u4ea7\u6ce8\u5165<\/span><br \/>\n <span class=\"tag\">AI\u5185\u5bb9\u4e00\u81f4\u6027<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1a\u7ea7AI\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u8bbe\u8ba1\u7cfb\u7edf\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u54c1\u724c\u5408\u89c4<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u5e7b\u706f\u7247\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\u666e\u904d\u8ba4\u53ef\u8be5\u4ea7\u54c1\u89e3\u51b3\u54c1\u724c\u4e00\u81f4\u6027\u7684\u75db\u70b9\uff0c\u5c24\u5176\u8d5e\u8d4f\u4ece\u73b0\u6709\u8d44\u4ea7\u751f\u6210design.md\u7684\u5b9e\u7528\u6027\u3002\u6709\u7528\u6237\u53cd\u9988\u4e0eClaude Code\u914d\u5408\u6548\u679c\u51fa\u8272\uff0c\u5e76\u8be2\u95ee\u5982\u4f55\u5904\u7406\u51b2\u7a81\u9057\u4ea7\u8d44\u4ea7\uff08\u5982\u65e7logo\uff09\u662f\u5426\u81ea\u52a8\u6807\u8bb0\uff0c\u671f\u5f85\u54c1\u724c\u5408\u89c4\u7684\u81ea\u52a8\u5316\u68c0\u6d4b\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 OnBrand\u672c\u8d28\u4e0a\u662f\u4e00\u6b3e\u201c\u54c1\u724c\u5408\u89c4\u7684AI\u62a4\u680f\u201d\u4ea7\u54c1\u3002\u5b83\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u521b\u9020\u65b0\u7684AI\u751f\u6210\u80fd\u529b\uff0c\u800c\u5728\u4e8e\u7528MCP\u8fd9\u4e00\u6807\u51c6\u5316\u534f\u8bae\uff0c\u7cbe\u51c6\u5361\u4f4f\u4e86\u4f01\u4e1a\u91c7\u7528AI\u5185\u5bb9\u5de5\u5177\u65f6\u6700\u9690\u853d\u7684\u6210\u672c\u9ed1\u6d1e\u2014\u2014\u54c1\u724c\u4e00\u81f4\u6027\u635f\u8017\u3002\u5f53AI\u9891\u9891\u751f\u6210\u201c\u5dee\u4e00\u70b9\u5c31\u5bf9\u4e86\u201d\u7684\u89c6\u89c9\u8d44\u4ea7\u65f6\uff0c\u8089\u773c\u4fee\u6b63\u53e0\u52a0\u6c9f\u901a\u6210\u672c\uff0c\u6700\u7ec8\u541e\u566c\u4e86\u539f\u672c\u88ab\u5bc4\u4e88\u539a\u671b\u7684\u6548\u7387\u63d0\u5347\u3002\u4eceSlideSpeak\u7684\u6f14\u793a\u751f\u6210\u573a\u666f\u81ea\u7136\u5ef6\u4f38\uff0cOnBrand\u6293\u4f4f\u4e86\u201c\u4ece\u6388\u6743\u5230\u7ea6\u675f\u201d\u7684\u8303\u5f0f\u8f6c\u6362\uff1a\u8fc7\u53bbAI\u662f\u81ea\u7531\u63a2\u7d22\u7684\u521b\u610f\u4f19\u4f34\uff0c\u73b0\u5728\u5b83\u66f4\u9700\u8981\u6210\u4e3a\u201c\u6234\u7740\u9563\u94d0\u8df3\u821e\u201d\u7684\u5408\u89c4\u6267\u884c\u8005\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u9700\u8981\u8b66\u60d5\u7684\u662f\uff0cMCP\u4f5c\u4e3a\u65b0\u751f\u534f\u8bae\uff0c\u76ee\u524d\u751f\u6001\u517c\u5bb9\u6027\u4ecd\u662f\u786c\u4f24\u3002\u5c3d\u7ba1\u652f\u6301Claude\u3001Codex\u3001ChatGPT\uff0c\u4f46\u5b9e\u9645\u843d\u5730\u65f6\uff0c\u54c1\u724c\u6307\u5357\u7684\u89e3\u6790\u9897\u7c92\u5ea6\u3001\u51b2\u7a81\u8d44\u4ea7\u7684\u667a\u80fd\u9884\u8b66\uff08\u5982\u7528\u6237\u63d0\u53ca\u7684\u65e7logo\u95ee\u9898\uff09\u3001\u4ee5\u53ca\u975e\u7ed3\u6784\u5316\u8d44\u4ea7\u7684\u5bb9\u9519\u7387\uff0c\u624d\u662f\u771f\u6b63\u51b3\u5b9a\u5b83\u80fd\u8d70\u591a\u8fdc\u7684\u5173\u952e\u3002\u76ee\u524d\u5c55\u793a\u7684\u529f\u80fd\u66f4\u50cf\u4e00\u4e2a\u7cbe\u5de7\u7684\u201c\u54c1\u724c\u767e\u79d1\u201d\u8fde\u63a5\u5668\uff0c\u800c\u975e\u771f\u6b63\u7684\u667a\u80fd\u4ef2\u88c1\u8005\u3002\u5982\u679cOnBrand\u672a\u6765\u4e0d\u80fd\u6784\u5efa\u57fa\u4e8e\u89c4\u5219\u5f15\u64ce\u7684\u51b2\u7a81\u68c0\u6d4b\u548c\u7248\u672c\u7ba1\u7406\u80fd\u529b\uff0c\u5b83\u5f88\u53ef\u80fd\u6ca6\u4e3a\u53e6\u4e00\u4e2a\u88ab\u9057\u5fd8\u7684\u6865\u63a5\u5de5\u5177\uff0c\u800c\u975e\u4f01\u4e1a\u7ea7\u54c1\u724c\u8d44\u4ea7\u7ba1\u7406\u7684\u4e2d\u67a2\u3002\u4e0d\u8fc7\uff0c\u5bf9\u4e8e\u53d7\u56f0\u4e8e\u201cAI\u5185\u5bb9\u6821\u51c6\u5730\u72f1\u201d\u7684\u8425\u9500\u548c\u8bbe\u8ba1\u56e2\u961f\u6765\u8bf4\uff0c\u8fd9\u5df2\u7ecf\u662f\u73b0\u9636\u6bb5\u6700\u52a1\u5b9e\u7684\u89e3\u6cd5\u4e4b\u4e00\u4e86\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\">OnBrand by SlideSpeak<\/span>\n <\/div>\n<div class=\"comment-content\">OnBrand gives AI agents design context through MCP. Add your brand guidelines, logos, colors, icons, imagery and slide rules, so tools like Claude, Codex and ChatGPT can create slides, infographics and design assets that actually match your brand. No more generic AI output, random layouts or off-brand visuals. OnBrand can generate your entire brand guidelines as a design.md from your existing website, existing branding guidelines or even PowerPoint templates.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hello everyone! \ud83d\udc4b<\/p>\n<p>Today, we are launching OnBrand, an MCP that infuses any AI agent with your brand guidelines, so you can focus on creating instead of worrying about the agent going rogue.<\/p>\n<p>OnBrand is a new product from the team behind SlideSpeak, a leader in AI presentation generation. At SlideSpeak, we have encountered virtually every use case companies face when integrating AI with their brand. More often than not, AI makes tiny mistakes that, when compounded, end up costing a ton of money and time. <\/p>\n<p>OnBrand solves this by continuously steering the agent to comply with your brand guidelines.<\/p>\n<p>You can try it out today, completely for <strong>FREE<\/strong>, at <a href=\"https:\/\/slidespeak.co\/features\/onbrand\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/slidespeak.co\/features\/onbrand<\/a>. The only thing you need is a SlideSpeak account. We are also open source: <a href=\"https:\/\/github.com\/SlideSpeak\/slidespeak-onbrand\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/github.com\/SlideSpeak\/slidespeak-onbrand<\/a><\/p>\n<\/p>\n<p>Let us know your thoughts!<\/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\/@gcalcedo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@gcalcedo<\/a> Interesting idea. Giving AI agents actual design context instead of expecting them to guess should go a long way toward reducing generic, off-brand output. I especially like the ability to generate a <a href=\"http:\/\/design.md\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">design.md<\/a> from existing assets\u2014it feels like a practical bridge between brand guidelines and AI 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>Such a cool idea. Congrats on the launch! \ud83d\ude80<\/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\/@liorgrossman\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@liorgrossman<\/a> Thank you!<\/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! Much needed<\/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\/@ibrahim_alfaraj\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ibrahim_alfaraj<\/a> Thanks a ton! Feel free to let us know your thoughts if you give it a try. We are actively improving it right now \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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I just tried it and I have to say this worked perfectly !<\/p>\n<p>Pairing it with my Claude Code subscription gave me surprisingly good results !<\/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\/@samuel_asensi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@samuel_asensi<\/a> Thank you!<\/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\">This is a massive pain point. Ensuring sales and marketing teams actually stick to brand guidelines instead of going rogue with outdated assets is a constant battle. I am curious about the ingestion flow\u2014how does the AI handle conflicting legacy assets? If a user uploads an old deck with a retired logo, does the system flag it automatically? Very good positioning for B2B teams, congrats on the launch!<\/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<\/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\/NRV6TH5TKJQAN5\" class=\"app-title\">Agentic Document Extraction<\/a><\/p>\n<div class=\"one-liner\">Make the world’s documents computable <\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">99<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Agentic Document Extraction \u901a\u8fc7\u667a\u80fd\u4ee3\u7406\u548c\u6765\u6e90\u53ef\u8ffd\u6eaf\u7684API\uff0c\u5c06\u4efb\u610f\u6587\u6863\u81ea\u52a8\u8f6c\u5316\u4e3a\u7ed3\u6784\u5316JSON\u6570\u636e\uff0c\u89e3\u51b3\u4f01\u4e1a\u5f00\u53d1\u8005\u5728\u6784\u5efa\u6587\u6863\u81ea\u52a8\u5316\u6d41\u6c34\u7ebf\u65f6\u9762\u4e34\u7684\u7cbe\u5ea6\u4f4e\u3001\u89c4\u5219\u7ef4\u62a4\u96be\u3001\u7ed3\u679c\u4e0d\u53ef\u5ba1\u8ba1\u7b49\u6838\u5fc3\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 <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/26b29043-52ec-472d-861b-fe8e35e315f6.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/u-nXkJUFudg?si=ceOVuMJRA-JM0FuZ\"><source src=\"https:\/\/youtu.be\/u-nXkJUFudg?si=ceOVuMJRA-JM0FuZ\" 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\/096d9a71-e985-41a3-aaa3-a4eb37929ed9.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\/c7354e5e-ee68-4a00-866b-b8779c6c751f.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\/7035ab8c-fd6e-4681-9f78-b77809fcab3c.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\/1e4d0cf6-f7e2-4dd0-90d8-de0eadd7251d.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\">API<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u6587\u6863AI<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u6587\u6863\u5904\u7406<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1a\u7ea7API<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7406\u63a8\u7406<\/span><br \/>\n <span class=\"tag\">\u7ed3\u6784\u5316\u6570\u636e\u63d0\u53d6<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u6d41\u6c34\u7ebf<\/span><br \/>\n <span class=\"tag\">\u53ef\u6eaf\u6e90JSON<\/span><br \/>\n <span class=\"tag\">\u7f6e\u4fe1\u5ea6\u8bc4\u5206<\/span><br \/>\n <span class=\"tag\">LandingAI<\/span><br \/>\n <span class=\"tag\">Andrew Ng<\/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\u4ea7\u54c1\u7cbe\u5ea6\u548c\u53ef\u8ffd\u6eaf\u6027\uff0c\u4ed8\u8d39\u7528\u6237\u5728\u89e3\u6790\u529f\u80fd\u4e0a\u83b7\u5f97\u663e\u8457\u6548\u679c\u3002\u4f46\u6709\u7528\u6237\u56e0\u4ed8\u8d39\u7a81\u7136\u9650\u6d41\u3001\u5fc5\u987b\u5347\u7ea7\u9ad8\u4ef7\u6708\u5957\u9910\u800c\u653e\u5f03API\uff0c\u8f6c\u6295Claude\u89c6\u89c9\u65b9\u6848\u3002\u5efa\u8bae\u4f18\u5316\u5b9a\u4ef7\u7075\u6d3b\u6027\u4e0eAPI\u7a33\u5b9a\u6027\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 Agentic Document Extraction \u6700\u5927\u7684\u4eae\u70b9\u4e0d\u5728\u4e8e\u201c\u7528AI\u63d0\u53d6\u6570\u636e\u201d\uff0c\u800c\u5728\u4e8e\u201c\u8ba9AI\u4e3a\u63d0\u53d6\u7ed3\u679c\u8d1f\u8d23\u201d\u3002\u6bcf\u4e00\u6761\u8f93\u51fa\u5b57\u6bb5\u90fd\u7ed1\u5b9a\u8fb9\u6846\u5750\u6807\u3001\u7ed9\u51fa\u7f6e\u4fe1\u5ea6\u5206\u6570\uff0c\u8fd9\u89e3\u51b3\u4e86\u4f20\u7edf\u65e0\u5934\u6a21\u578b\u201c\u9ed1\u7bb1\u8f93\u51fa\u3001\u65e0\u4ece\u67e5\u8bc1\u201d\u7684\u81f4\u547d\u7f3a\u9677\u3002\u5bf9\u4e8e\u6cd5\u52a1\u3001\u91d1\u878d\u3001\u5408\u89c4\u7b49\u9700\u8981\u201c\u8bc1\u636e\u94fe\u201d\u7684\u884c\u4e1a\uff0c\u8fd9\u662f\u521a\u9700\u800c\u975e\u75d2\u70b9\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u4ea7\u54c1\u76ee\u524d\u6b63\u9762\u4e34\u4e24\u4e2a\u73b0\u5b9e\u6311\u6218\u3002\u9996\u5148\u662f\u6210\u672c\u4e0e\u5b9a\u4ef7\u6495\u88c2\u2014\u2014\u8bc4\u8bba\u4e2d\u5df2\u7ecf\u6709\u4eba\u56e0\u4e3a\u201c\u514d\u8d39\u8bd5\u7528\u540e\u7a81\u7136\u9650\u5236API\u8c03\u7528\u3001\u88ab\u8feb\u8df3\u5347\u5230\u6bcf\u6708250\u7f8e\u5143\u5957\u9910\u201d\u800c\u79bb\u5f00\u3002\u5bf9\u4e8e\u4e00\u4e2a\u4f9d\u8d56\u5f00\u53d1\u8005\u6e17\u900f\u7684\u5e73\u53f0\uff0c\u8fd9\u79cd\u4f53\u9a8c\u4f1a\u5728\u524d\u671f\u627c\u6740Plugs\u3002Andrew Ng\u7684\u5149\u73af\u53ea\u80fd\u6491\u4f4f\u7b2c\u4e00\u6b21\u8bd5\u7528\uff0c\u7559\u4e0d\u4f4f\u7b2c\u4e8c\u6b21\u3002\u5176\u6b21\u662f\u7ade\u4e89\u7ef4\u5ea6\u2014\u2014Claude\u3001GPT-4V\u7b49\u901a\u7528\u6a21\u578b\u5728\u89c6\u89c9\u7406\u89e3\u4e0a\u8fdb\u6b65\u795e\u901f\uff0c\u4e14\u5df2\u539f\u751f\u652f\u6301\u591a\u9875PDF\u3001\u8868\u683c\u7b49\u7ed3\u6784\uff0c\u800c\u5b83\u4eec\u4e0d\u989d\u5916\u6536\u201c\u89e3\u6790\u63a5\u53e3\u8d39\u201d\u3002ADE\u82e5\u4e0d\u80fd\u8bc1\u660e\u5176\u201c\u4e13\u5c5e\u6587\u6863Agent\u201d\u5728\u590d\u6742\u81ea\u5b9a\u4e49\u683c\u5f0f(\u5982\u4fdd\u9669\u5408\u540c\u3001\u6d77\u5173\u5355\u636e)\u4e0a\u7684\u8bef\u5dee\u7387\u8fdc\u4f4e\u4e8e\u901a\u7528\u6a21\u578b\uff0c\u90a3\u4e48\u201cAPI\u8c03\u7528\u8d39+\u63a8\u7406\u8d39\u201d\u7684\u53cc\u91cd\u6210\u672c\u5f88\u5feb\u5c31\u4f1a\u538b\u57ae\u7528\u6237\u7684\u9009\u62e9\u5929\u5e73\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5f52\u6839\u7ed3\u5e95\uff0cADE\u662f\u5728\u505a\u201cAI\u65f6\u4ee3\u7684OCR+ETL\u201d\uff0c\u62e5\u6709\u5f88\u9ad8\u7684\u6280\u672f\u6807\u6746\u548c\u5ba1\u8ba1\u4ef7\u503c\u3002\u4f46\u8981\u771f\u6b63\u6210\u4e3a\u5f00\u53d1\u8005\u7684\u9ed8\u8ba4\u65b9\u6848\uff0cLandingAI\u9700\u8981\u5728\u5b9a\u4ef7\u900f\u660e\u5ea6\u548c\u5165\u95e8\u4f53\u9a8c\u4e0a\u66f4\u201c\u91ce\u86ee\u201d\u4e00\u4e9b\u2014\u2014\u8fd9\u4e0d\u662f\u6280\u672f\u95ee\u9898\uff0c\u662f\u5546\u4e1a\u5224\u65ad\u95ee\u9898\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\">Agentic Document Extraction<\/span>\n <\/div>\n<div class=\"comment-content\">LandingAI is on a mission to make the world’s documents computable. Agentic Document Extraction helps enterprise developers build document automation pipelines at scale. Accurate, auditable, API-driven document AI.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>\ud83d\udc4b Hello! We’re the team behind Agentic Document Extraction (ADE), an intelligent document processing platform, offered by LandingAI \u2014 founded by Andrew Ng.<\/p>\n<p>ADE is a different way to turn any document into structured, source-cited data. It converts any document into accurate, structured data. It is fully auditable, traceable, and production-ready from day one. Trusted autonomous document processing via multiple APIs designed for real workflows. Current APIs are Parse, Extract, Classify, Section, Build Schema, Split.<\/p>\n<p>\ud83e\udd16 Agentic reasoning \u2014 handles documents it’s never seen, no per-doc fine-tuning or rule engineering<\/p>\n<p>\u2705 Source-cited JSON \u2014 every field traces back to its exact spot on the page, down to the bounding box<\/p>\n<p>\ud83d\udcaf Confidence scores on every field \u2014 so you can trace, audit, and defend results<\/p>\n<p>\ud83d\udc68\u200d\ud83d\udcbbComposable & headless \u2014 call it from your own agents, pipe clean JSON straight into your stack<\/p>\n<p>If you’ve been fighting per-doc-type fine-tuning or a brittle rules engine just to get accuracy you can defend, this is for you.<br \/>Throw your hardest documents at it and tell us where it holds up.<\/p>\n<p>Try it at landing.ai \u2014 we’re here to support! \ud83d\ude4c<\/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\/@grace_lee25\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@grace_lee25<\/a> Love the vision here! \ud83c\udf89 “Making the world’s documents computable” is the exact right approach to document AI. Combining an agentic workflow with auditable, enterprise-grade APIs is going to save developers countless hours of pipeline engineering.<\/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 depend very much on Landing.ai’s ADE parse feature and have not been disappointed with it. We also are paid heavy users. With this feature, we can offer our customers technical traceability with source as well as visual grounding. The independent parsing\/VLM in conjunction with a general-purpose LM (e.g., Claude, GPT) has significantly increase technical accuracy of our product.<br \/>We once had issues with service\/parsing latency, especially for longer documents, but their engineering team was responsive and issued a hotfix overnight. I do think the capabilities of this product have not yet been fully tapped into by other startup\/companies, so do 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@pkaymishr\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@pkaymishr<\/a> Thank you \u2014 means a lot coming from a builder using it in production. We’re here to support you and help you succeed!<\/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>Loved the product and embedded thru the API, just to un-embedded everything again and migrate to Claude vision. Reason simple: few hits to call the API on testing and received error that the pay-as-you-go was limited to console only and had to commit to upgraded plan at template at 250 a month… Hope in goodwill Landing AI upgrades this, but I take no chance to hit a wall in from of a customer on our demos. Our congrats for the idea and good documented features.<\/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\">#15<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/UEY57WD4R765YA\" class=\"app-title\">Photoroom API<\/a><\/p>\n<div class=\"one-liner\">Transform product images at scale with one image editing API<\/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>Photoroom API \u662f\u4e00\u4e2a\u8ba9\u7535\u5546\u5e73\u53f0\u548c\u54c1\u724c\u5546\u901a\u8fc7\u5355\u4e2aAPI\u63a5\u53e3\u6279\u91cf\u5904\u7406\u4ea7\u54c1\u56fe\u7247\uff08\u53bb\u80cc\u666f\u3001\u751f\u6210\u4e3b\u56fe\u3001\u7ec4\u5408\u6346\u7ed1\u56fe\uff09\u7684\u81ea\u52a8\u5316\u56fe\u50cf\u7f16\u8f91\u5de5\u5177\uff0c\u89e3\u51b3\u4e86\u6d77\u91cf\u5546\u54c1\u56fe\u5728\u4eba\u5de5\u5904\u7406\u65f6\u6548\u7387\u4f4e\u3001\u6807\u51c6\u4e0d\u4e00\u3001\u65e0\u6cd5\u89c4\u6a21\u5316\u8f93\u51fa\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\/2c017f2f-6722-4d69-814b-3354112cf400.webp?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\/554446f4-29a8-4d29-a475-be1473443ce7.webp?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\/f6520eb2-f59c-42d6-b8bc-a97abbae995a.webp?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\/113e92a4-598e-47ce-a5d1-a327ae6ba899.webp?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\/20c5893c-dcaf-4324-8780-be1450ea87dd.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=iEx4-N6fHsU\"><source src=\"https:\/\/www.youtube.com\/watch?v=iEx4-N6fHsU\" 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\">Photography<\/span><br \/>\n <span class=\"tag\">E-Commerce<\/span><br \/>\n <span class=\"tag\">Photo editing<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u56fe\u7247\u7f16\u8f91API<\/span><br \/>\n <span class=\"tag\">\u7535\u5546\u56fe\u50cf\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u6279\u91cf\u53bb\u80cc\u666f<\/span><br \/>\n <span class=\"tag\">\u5546\u54c1\u4e3b\u56fe\u751f\u6210<\/span><br \/>\n <span class=\"tag\">REST API<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1a\u7ea7\u56fe\u50cf\u5904\u7406<\/span><br \/>\n <span class=\"tag\">\u4ea7\u54c1\u89c6\u89c9\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u89c4\u6a21\u5316\u56fe\u7247\u5904\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\u79f0\u8d5eAPI\u5904\u7406\u901f\u5ea6\u5feb\u3001\u96c6\u6210\u6587\u6863\u6e05\u6670\u3001\u80fd\u4fdd\u6301\u56fe\u50cf\u4e00\u81f4\u6027\u3002\u90e8\u5206\u7528\u6237\u5e0c\u671b\u589e\u52a0\u66f4\u591a\u8f93\u51fa\u683c\u5f0f\u63a7\u5236\u3001\u81ea\u5b9a\u4e49\u88c1\u526a\u6a21\u677f\uff0c\u5e76\u671f\u5f85\u66f4\u8be6\u7ec6\u7684\u9519\u8bef\u7801\u8bf4\u660e\u3002\u672a\u53d1\u73b0\u4e25\u91cd\u8d1f\u9762\u53cd\u9988\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 Photoroom API\u7684\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u201c\u56fe\u7247\u7f16\u8f91\u201d\u672c\u8eab\uff0c\u800c\u5728\u4e8e\u5b83\u628a\u7535\u5546\u89c6\u89c9\u4ea7\u51fa\u7684\u201c\u975e\u6807\u4eba\u5de5\u6d41\u7a0b\u201d\u53d8\u6210\u4e86\u201c\u6807\u51c6\u5316\u5de5\u5e8f\u201d\u3002\u5e02\u9762\u4e0a\u80fd\u53bb\u80cc\u666f\u7684API\u5f88\u591a\uff0c\u4f46\u80fd\u652f\u6491\u201c\u5e74\u5904\u7406\u6570\u5341\u4ebf\u5f20\u56fe\u7247\u201d\u7ea7\u522b\u3001\u540c\u65f6\u8f93\u51fa\u5305\u542b\u6346\u7ed1\u56fe\u3001\u591a\u89d2\u5ea6\u5c55\u793a\u7b49\u590d\u5408\u9700\u6c42\u7684\u5355\u4e00API\u5e76\u4e0d\u591a\u89c1\u3002\u8fd9\u80cc\u540e\u8003\u9a8c\u7684\u662f\u5de5\u7a0b\u5316\u80fd\u529b\uff1a\u5305\u62ec\u5bf9\u7b97\u529b\u96c6\u7fa4\u7684\u8c03\u5ea6\u3001\u5bf9\u56fe\u50cf\u8d28\u91cf\u4e0e\u5904\u7406\u901f\u5ea6\u7684\u5e73\u8861\u3001\u4ee5\u53ca\u5bf9\u4e0d\u540c\u7535\u5546\u6e20\u9053\uff08\u5982Amazon\u3001Shopify\uff09\u88c1\u526a\u548c\u80cc\u666f\u89c4\u8303\u7684\u9002\u914d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u5b9a\u4f4d\u6781\u5176\u6e05\u6670\u2014\u2014\u5b83\u4e0d\u8ddfCanva\u3001Photoshop\u4e89\u7ec8\u7aef\u8bbe\u8ba1\u7528\u6237\uff0c\u800c\u662f\u76f4\u63a5\u5207\u5165\u7535\u5546\u4e2d\u53f0\u548c\u54c1\u724c\u5546\u54c1\u8fd0\u8425\u90e8\u95e8\u7684\u7cfb\u7edf\u58c1\u5792\uff0c\u628a\u201c\u4fee\u56fe\u5916\u5305\u201d\u53d8\u6210\u201c\u4ee3\u7801\u8c03\u7528\u201d\u3002\u8fd9\u610f\u5473\u7740\u5bf9\u975e\u6280\u672f\u578b\u5356\u5bb6\u4ecd\u6709\u95e8\u69db\uff0c\u4f46\u5bf9\u4e8e\u6708\u53d1\u6570\u5343\u5f20\u65b0\u54c1\u56fe\u7684\u5e73\u53f0\u6765\u8bf4\uff0c\u4e00\u6b21\u96c6\u6210\u5c31\u80fd\u780d\u6389\u6570\u5341\u4eba\u7684\u91cd\u590d\u52b3\u52a8\u3002\u4f01\u4e1a\u7ea7\u5b89\u5168\u627f\u8bfa\uff08\u4e0d\u5b58\u50a8\u3001\u4e0d\u8bad\u7ec3\u6a21\u578b\uff09\u4e5f\u7cbe\u51c6\u6253\u51fb\u4e86\u96f6\u552e\u5546\u5bf9\u4ea7\u54c1\u56fe\u50cf\u6570\u636e\u5916\u6d41\u7684\u987e\u8651\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4e0d\u8fc7\uff0c\u98ce\u9669\u70b9\u540c\u6837\u660e\u663e\uff1a\u9ad8\u5ea6\u4f9d\u8d56API\u4ea7\u54c1\u610f\u5473\u7740\u5ba2\u6237\u88ab\u9501\u5b9a\u5728\u5355\u4e00\u670d\u52a1\u5546\u8def\u7ebf\uff0c\u4e00\u65e6\u4ef7\u683c\u8c03\u6574\u6216\u51fa\u73b0\u53ef\u9760\u6027\u95ee\u9898\uff0c\u8fc1\u79fb\u6210\u672c\u6781\u9ad8\u3002\u6b64\u5916\uff0c\u4ea7\u54c1\u7684\u957f\u671f\u62a4\u57ce\u6cb3\u5728\u4e8e\u5bf9\u884c\u4e1a\u89c4\u5219\u7684\u6301\u7eed\u7406\u89e3\uff08\u6bd4\u5982\u4e0d\u540c\u5e73\u53f0\u6700\u65b0\u7684\u56fe\u7247\u5ba1\u6838\u89c4\u5219\uff09\uff0c\u800c\u975e\u7eaf\u7cb9\u7684\u6280\u672f\u7a81\u7834\u2014\u2014\u8fd9\u610f\u5473\u7740\u5b83\u66f4\u50cf\u4e00\u4e2a\u624e\u6839\u7535\u5546\u573a\u666f\u7684\u201c\u89e3\u51b3\u65b9\u6848\u96c6\u6210\u5546\u201d\u800c\u975e\u201c\u57fa\u7840AI\u5de5\u5177\u201d\u3002\u672a\u6765\u771f\u6b63\u7684\u6311\u6218\u662f\uff0c\u5f53\u5927\u5382\u81ea\u7814\u76f8\u4f3c\u80fd\u529b\u5e76\u5f00\u653e\u6210API\u65f6\uff0c\u72ec\u7acb\u4ea7\u54c1\u8fd8\u80fd\u5426\u4fdd\u6301\u6210\u672c\u4e0e\u4f53\u9a8c\u4f18\u52bf\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\">Photoroom API<\/span>\n <\/div>\n<div class=\"comment-content\">Photoroom API powers product visuals for the world’s leading marketplaces and brands, processing billions of images a year \u2014 built for the speed, consistency, and scale commerce demands. From raw upload to polished, marketplace-ready hero shots and bundles, generate every catalog asset in one API flow. Integrate in minutes with a clean REST API and clear docs. Enterprise-grade security: your images are never stored or used to train models.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/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\/CNFAF6CYJHSC6J\" class=\"app-title\">AlgoFly AI<\/a><\/p>\n<div class=\"one-liner\">The all-in-one place to build and deploy vision AI<\/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>AlgoFly AI\u662f\u4e00\u6b3e\u9762\u5411\u4f01\u4e1a\u7ea7\u8ba1\u7b97\u673a\u89c6\u89c9\u56e2\u961f\u7684\u672c\u5730\u4f18\u5148AI\u6570\u636e\u5e73\u53f0\uff0c\u6838\u5fc3\u89e3\u51b3\u654f\u611f\u6570\u636e\u65e0\u6cd5\u4e0a\u4f20\u7b2c\u4e09\u65b9\u4e91\u3001\u4e14\u9700\u517c\u987eAI\u6a21\u578b\u5f00\u53d1\u4e0e\u90e8\u7f72\u5168\u6d41\u7a0b\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\/a032f1e0-2b59-44b5-aa75-b1661f974c09.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\/8d8cdd10-444d-40bf-8346-10b3a07d9508.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\/7060faa9-b6f6-4a63-ab34-2061a2b18d73.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\">Software Engineering<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u8ba1\u7b97\u673a\u89c6\u89c9<\/span><br \/>\n <span class=\"tag\">\u6570\u636e\u6807\u6ce8<\/span><br \/>\n <span class=\"tag\">\u672c\u5730\u90e8\u7f72<\/span><br \/>\n <span class=\"tag\">AI\u8fd0\u7ef4<\/span><br \/>\n <span class=\"tag\">\u6570\u636e\u5b89\u5168<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1a\u7ea7<\/span><br \/>\n <span class=\"tag\">\u56e2\u961f\u534f\u4f5c<\/span><br \/>\n <span class=\"tag\">\u6a21\u578b\u90e8\u7f72<\/span><br \/>\n <span class=\"tag\">\u6570\u636e\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u6807\u6ce8\u5e73\u53f0<\/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\u672c\u5730\u4f18\u5148\u5b9a\u4f4d\u5728\u53d7\u76d1\u7ba1\u884c\u4e1a\u7684\u4ef7\u503c\uff0c\u5e76\u8ffd\u95ee\u4e0eRoboflow\u7b49\u4e91\u5e73\u53f0\u7684\u6838\u5fc3\u5dee\u5f02\u3002\u5f00\u53d1\u8005\u56de\u5e94\u5f3a\u8c03\u4f4e\u5ef6\u8fdf\u3001SDK\u7075\u6d3b\u6027\u53ca\u5c0f\u56e2\u961f\u5feb\u901f\u54cd\u5e94\u9700\u6c42\u7684\u80fd\u529b\uff0c\u5982\u6279\u91cf\u6807\u6ce8\u3001\u6a21\u578b\u7f6e\u4fe1\u5ea6\u8fc7\u6ee4\u3001\u5b9e\u65f6\u534f\u4f5c\u7b49\u529f\u80fd\u5747\u6765\u81ea\u7528\u6237\u53cd\u9988\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 AlgoFly AI\u6253\u4e86\u4e00\u5f20\u9887\u4e3a\u806a\u660e\u7684\u724c\uff1a\u5728\u201c\u6570\u636e\u4e3b\u6743\u201d\u8fd9\u4e2a\u4f01\u4e1a\u7ea7\u786c\u6838\u75db\u70b9\u4e0a\uff0c\u7528\u201c\u672c\u5730\u4f18\u5148\u201d\u4f5c\u4e3a\u62a4\u57ce\u6cb3\u5411\u4e91\u5de8\u5934\u53eb\u677f\u3002\u5176\u4ea7\u54c1\u903b\u8f91\u6e05\u6670\uff0c\u5e76\u975e\u4ece\u5934\u9020\u8f6e\u5b50\uff0c\u800c\u662f\u5728Roboflow\u7b49\u73b0\u6709\u57fa\u7840\u6846\u67b6\u4e4b\u4e0a\uff0c\u4ee5\u201c\u5c0f\u56e2\u961f+\u9ad8\u9891\u8fed\u4ee3\u201d\u7684\u8f7b\u76c8\u59ff\u6001\uff0c\u8bd5\u56fe\u5728\u6807\u6ce8\u534f\u4f5c\u3001\u8fd0\u7ef4\u6548\u7387\u4e0e\u7528\u6237\u53cd\u9988\u95ed\u73af\u4e0a\u505a\u51fa\u5dee\u5f02\u5316\u2014\u2014\u6bd4\u5982\u5b9e\u65f6\u5149\u6807\u534f\u4f5c\u3001\u6279\u91cf\u6807\u6ce8\u7b49\u7ec6\u8282\u529f\u80fd\uff0c\u786e\u5b9e\u5207\u4e2d\u4e86\u5927\u578b\u6807\u6ce8\u9879\u76ee\u4e2d\u7684\u5b9e\u9645\u75db\u70b9\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u9510\u611f\u9700\u8981\u51b7\u9759\uff1a**\u672c\u5730\u4f18\u5148\u4e0d\u7b49\u4e8e\u6280\u672f\u58c1\u5792**\u3002\u5f53\u4e3b\u6d41\u4e91\u5e73\u53f0\uff08\u5982AWS\u3001Google Cloud\uff09\u5df2\u80fd\u63d0\u4f9b\u6df7\u5408\u90e8\u7f72\u65b9\u6848\u65f6\uff0cAlgoFly\u82e5\u4ec5\u4ee5\u201c\u4e0d\u4e0a\u4e91\u201d\u4e3a\u5356\u70b9\uff0c\u5f88\u96be\u5728\u6a21\u578b\u8bad\u7ec3\u3001\u8fb9\u7f18\u63a8\u7406\u7b49\u66f4\u6df1\u5c42\u4ef7\u503c\u4e0a\u5f62\u6210\u78be\u538b\u4f18\u52bf\u3002\u76ee\u524d\u5176\u4ea7\u54c1\u66f4\u50cf\u662f\u4e00\u4e2a\u201c\u66f4\u61c2\u7528\u6237\u53cd\u9988\u7684\u6807\u6ce8\u7ba1\u7406\u5de5\u5177\u201d\uff0c\u800c\u975e\u5b8c\u5168\u81ea\u6d3d\u7684\u201c\u5168\u6808AI\u5f00\u53d1\u5e73\u53f0\u201d\u3002\u4ece\u8bc4\u8bba\u4e5f\u80fd\u770b\u51fa\uff0c\u7528\u6237\u5173\u6ce8\u7684\u7126\u70b9\u4ecd\u662f\u201c\u4e0eRoboflow\u6bd4\u6709\u4ec0\u4e48\u5b9e\u8d28\u4e0d\u540c\u201d\uff0c\u800c\u975e\u201c\u4e0d\u53ef\u66ff\u4ee3\u6027\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u771f\u6b63\u7684\u7a81\u7834\u53e3\u6216\u8bb8\u5728\u5bf9\u201c\u5c0f\u56e2\u961f\u201d\u4f18\u52bf\u7684\u6781\u81f4\u5229\u7528\uff1a\u5c06\u7528\u6237\u53cd\u9988\u8f6c\u5316\u4e3a\u529f\u80fd\u7684\u901f\u5ea6\u672c\u8eab\uff0c\u5c31\u662f\u4f01\u4e1a\u7ea7\u4ea7\u54c1\u6700\u7a00\u7f3a\u7684\u7ade\u4e89\u529b\u3002\u4f46\u8fd9\u4e5f\u662f\u4e00\u628a\u53cc\u5203\u5251\u2014\u2014\u529f\u80fd\u9700\u6c42\u8d8a\u5806\u8d8a\u591a\uff0c\u5f88\u5bb9\u6613\u5931\u53bb\u6218\u7565\u805a\u7126\uff0c\u6ca6\u4e3a\u201c\u4ec0\u4e48\u90fd\u60f3\u505a\uff0c\u4ec0\u4e48\u90fd\u96be\u7cbe\u6df1\u201d\u7684\u5de5\u5177\u7bb1\u3002\u82e5\u4e0d\u80fd\u5728\u6a21\u578b\u7248\u672c\u7ba1\u7406\u3001\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41\u7b49\u6838\u5fc3\u73af\u8282\u5efa\u7acb\u66f4\u6df1\u7684\u5de5\u7a0b\u58c1\u5792\uff0cAlgoFly AI\u7ec8\u5c06\u9762\u4e34\u201c\u529f\u80fd\u5806\u780c\u201d\u4e0e\u201c\u5dee\u5f02\u5316\u6a21\u7cca\u201d\u7684\u53cc\u91cd\u56f0\u5883\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\">AlgoFly AI<\/span>\n <\/div>\n<div class=\"comment-content\">AlgoFly is an AI consulting company that helps businesses build and deploy AI solutions.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Thanks for checking out AlgoFly AI \ud83d\ude80<\/p>\n<\/p>\n<p>AlgoFly AI is an on-premise-first AI data platform built for teams working with computer vision and machine learning. It helps manage computer vision datasets, annotation workflows, quality control, and AI operations while keeping sensitive data inside your own infrastructure.<\/p>\n<\/p>\n<p>We built AlgoFly because many enterprises cannot upload proprietary data to third-party cloud platforms. Our goal is to give teams the flexibility of modern AI tooling without compromising on data ownership.<\/p>\n<\/p>\n<p>I’d love to hear your feedback, feature requests, and use cases. Every comment helps us improve the product.<\/p>\n<p>Thank you for your support! \ud83d\ude4f<\/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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@imneonizer\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@imneonizer<\/a> Simple and clear positioning. I like the focus on helping businesses actually deploy AI solutions, since the gap between experimenting with AI and putting it into production is where many companies struggle.<\/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 on-premise-first positioning is compelling, especially for regulated industries. Beyond data residency, what’s the biggest reason enterprises choose AlgoFly over cloud-native vision AI platforms?<\/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\/@yagnaveena\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@yagnaveena<\/a> It’s not just data residenct, on-prem deployment comes with a lot of perks. Low latency access to the resources, fast data visibility and access to dataset for iterating on the experiments quickly, we also provide python sdk so live data can be iterated and modified as per workflow-requirements. even though a lot of features resemble and comparable to robolfow or any other cv data management platform, and we had to ship that because those are really strong foundations, biggest advantage we have is small team and good foundation and the product is shaping with early user feedbacks, we keep on improving the features so everyone get’s to enjoy more and more interesting ways to deal with their 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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What kind of AI projects are you focusing on most right now, internal automation or customer facing features?<\/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> 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\">Other than local setup how do you differentiate Algofly from Roboflow?<\/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\/@anubhab_paul99\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@anubhab_paul99<\/a> We are constantly talking to the users and shaping the platform to adapt and provider better user experience and the values. For instance on user asked to annotate multiple images at once so we added a batch annotation mode directly from the images thumbnail biew page. later when improving the work-flow we encluntered that model was flagging wrong ground truth labels with high confidence so we added a filter called model agree \/ disagree based on that user can review the annotations, quick verification mode was added later so users can track what images they already worked on. There is a collaboration mode so that particular set of images can be assigned to particular user so people don’t conflict on sam image files. alos a realtime collaboration mode so many annotators can work on the same file and each other’s realtime cursor is also visible to each other so a full figma like experience. We are taking feedbacks and implementing the best features from all platforms to improve the overall quality of 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<\/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\/W7SEC4MTHQIUOE\" class=\"app-title\">LeadDelta 5.0: AI Warm Intros + AI Inbox<\/a><\/p>\n<div class=\"one-liner\">AI that finds Warm Intro Paths and fixes your LinkedIn Inbox<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">56<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>LeadDelta 5.0 \u5229\u7528AI\u5c06\u56e2\u961f\u6563\u843d\u7684LinkedIn\u4eba\u8109\u6574\u5408\u5230\u4e00\u4e2a\u5de5\u4f5c\u7a7a\u95f4\uff0c\u81ea\u52a8\u6316\u6398\u6700\u4f18\u201c\u6e29\u6696\u5f15\u8350\u201d\u8def\u5f84\u3001\u667a\u80fd\u7ba1\u7406\u6536\u4ef6\u7bb1\u5e76\u4ee3\u62df\u6d88\u606f\uff0c\u89e3\u51b3B2B\u9500\u552e\u3001\u62db\u8058\u548c\u878d\u8d44\u4e2d\u7684\u4eba\u8109\u8d44\u4ea7\u6c89\u7761\u4e0e\u51b7\u542f\u52a8\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 <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/36d900dc-b2a5-462a-8bcf-b6b38c21713a.gif?auto=format\" data-video-url=\"https:\/\/www.loom.com\/share\/a0d1b3e8230c4882b91bc3e203c86d09\"><source src=\"https:\/\/www.loom.com\/share\/a0d1b3e8230c4882b91bc3e203c86d09\" 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\/f37a555a-4016-46ef-a608-c161f66bb912.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\/39da5a90-849c-4195-bd10-87b7200be5d7.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\/4940b923-8459-419c-b1ed-d9a214faedd4.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\/97615277-9357-4e1b-8642-3b837c9c1518.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\/58c8f59b-68cb-4700-a91b-e4fd587f3cab.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\/0b5ca2e4-9c59-48cb-8aa9-2c1dcf0f52ad.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\">Productivity<\/span><br \/>\n <span class=\"tag\">Growth Hacking<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u4eba\u8109\u5173\u7cfb\u667a\u80fd<\/span><br \/>\n <span class=\"tag\">\u6e29\u6696\u5f15\u8350<\/span><br \/>\n <span class=\"tag\">AI\u6536\u4ef6\u7bb1<\/span><br \/>\n <span class=\"tag\">LinkedIn CRM<\/span><br \/>\n <span class=\"tag\">\u56e2\u961f\u4eba\u8109\u6c60<\/span><br \/>\n <span class=\"tag\">AI\u4ee3\u5199\u6d88\u606f<\/span><br \/>\n <span class=\"tag\">\u81ea\u5b9a\u4e49\u4fe1\u606f\u6d41<\/span><br \/>\n <span class=\"tag\">\u5546\u4e1a\u793e\u4ea4\u6d1e\u5bdf<\/span><br \/>\n <span class=\"tag\">B2B\u9500\u552e\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u7f51\u7edc\u5173\u7cfb\u56fe\u8c31<\/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\u4ea7\u54c1\u6301\u7eed\u8fed\u4ee3\u7684\u4ef7\u503c\uff0c\u5c24\u5176\u79f0\u8d5e\u201c\u6e29\u6696\u5f15\u8350\u201d\u529f\u80fd\uff0c\u8ba4\u4e3a\u5176\u8d85\u8d8a\u4e86\u4f20\u7edf\u7684\u4eba\u8109\u5ea6\u6570\u6392\u5e8f\u3002\u6709\u7528\u6237\u8ffd\u95eeAI\u5728\u5bfb\u627e\u6700\u4f73\u5f15\u8350\u8def\u5f84\u65f6\uff0c\u662f\u5426\u8003\u8651\u4e86\u6d88\u606f\u65f6\u6548\u6027\u3001\u4e92\u52a8\u9891\u7387\u7b49\u5173\u7cfb\u8870\u51cf\u4fe1\u53f7\u3002\u53e6\u6709\u7528\u6237\u8be2\u95ee\u662f\u5426\u652f\u6301\u901a\u8fc7MCP\u534f\u8bae\u63a5\u5165\u5916\u90e8AI Agent\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 LeadDelta 5.0 \u8e29\u4e2d\u4e86\u5f53\u4e0bB2B\u793e\u4ea4\u9500\u552e\u6700\u6838\u5fc3\u7684\u75db\u70b9\uff1a\u4eba\u8109\u4e0d\u662f\u901a\u8baf\u5f55\uff0c\u800c\u662f\u4fe1\u606f\u6d41\u4e2d\u672a\u88ab\u63d0\u53d6\u7684\u201c\u51b7\u8d44\u4ea7\u201d\u3002\u5b83\u5c06\u201c\u6e29\u6696\u5f15\u8350\u201d\u4ece\u53e3\u53f7\u53d8\u6210\u53ef\u91cf\u5316\u7684AI\u8def\u5f84\u89c4\u5212\uff0c\u8fd9\u6bd4\u5e02\u9762\u4e0a\u5927\u591a\u6570\u53ea\u505a\u5173\u7cfb\u56fe\u8c31\u53ef\u89c6\u5316\u7684\u5de5\u5177\u9ad8\u660e\u4e00\u4e2a\u7ef4\u5ea6\u2014\u2014\u4ece\u201c\u77e5\u9053\u8c01\u8ba4\u8bc6\u8c01\u201d\u8fdb\u5316\u5230\u201c\u77e5\u9053\u8c01\u80fd\u5e2e\u4f60\u642d\u4e0a\u8bdd\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u771f\u6b63\u7684\u8003\u9a8c\u5728\u4e8eAI\u5bf9\u201c\u6e29\u6696\u201d\u7684\u8861\u91cf\u6807\u51c6\u3002\u7528\u6237\u8bc4\u8bba\u4e2d\u7684\u7075\u9b42\u62f7\u95ee\u975e\u5e38\u7cbe\u51c6\uff1a\u5982\u679cAI\u53ea\u6309\u793e\u4ea4\u8ddd\u79bb\uff08\u51e0\u5ea6\u4eba\u8109\uff09\u6392\u5e8f\uff0c\u800c\u4e0d\u8003\u91cf\u5f15\u8350\u4eba\u4e0e\u76ee\u6807\u5bf9\u8c61\u4e4b\u95f4\u7684\u8fd1\u671f\u4e92\u52a8\u9891\u7387\u3001\u5171\u540c\u8bdd\u9898\u3001\u751a\u81f3\u79c1\u4fe1\u56de\u590d\u7387\uff0c\u90a3\u5b83\u672c\u8d28\u4e0a\u4ecd\u7136\u662f\u4e00\u4e2a\u52a0\u4e86\u5c42\u641c\u7d22\u5f15\u64ce\u7684\u9886\u82f1\u540d\u7247\u5939\u3002LeadDelta\u5f3a\u8c03\u201cAI\u8bad\u7ec3\u4f60\u7684\u8bed\u6c14\u5199\u6d88\u606f\u201d\uff0c\u8fd9\u5176\u5b9e\u662f\u4e2a\u53cc\u5203\u5251\uff1a\u7528\u5f97\u597d\u662f\u6548\u7387\u500d\u589e\u5668\uff0c\u7528\u4e0d\u597d\u5c31\u4f1a\u53d8\u6210\u6279\u91cf\u53d1\u9001\u540c\u8d28\u5316\u6a21\u677f\u7684\u52a0\u901f\u5668\uff0c\u53cd\u800c\u7834\u574f\u5f15\u8350\u5173\u7cfb\u7684\u5fae\u5999\u4fe1\u4efb\u3002\n <\/p>\n<p class=\"ai-content\">\n \u6b64\u5916\uff0c\u4ea7\u54c1\u5bf9\u201c\u56e2\u961f\u534f\u540c\u201d\u7684\u5f3a\u8c03\u503c\u5f97\u80af\u5b9a\u2014\u2014\u5c06\u4e2a\u4eba\u5b64\u5c9b\u4eba\u8109\u53d8\u6210\u516c\u53f8\u8d44\u4ea7\uff0c\u8fd9\u9879\u80fd\u529b\u5728SaaS\u9500\u552e\u548c\u4e00\u7ea7\u5e02\u573aFA\u573a\u666f\u4e0b\u4ef7\u503c\u6781\u9ad8\u3002\u4f46\u8fd9\u4e5f\u5e26\u6765\u4e86\u9690\u79c1\u548c\u8fb9\u754c\u95ee\u9898\uff1a\u5458\u5de5\u7684\u4e2a\u4eba\u793e\u4ea4\u5173\u7cfb\u88ab\u201c\u6c60\u5316\u201d\u540e\uff0c\u9009\u62e9\u4e3b\u52a8pass\u7684\u6743\u9650\u8bbe\u8ba1\u662f\u5426\u8db3\u591f\u900f\u660e\uff1f\u8fd9\u5c06\u662fLeadDelta\u5728\u89c4\u6a21\u5316\u65f6\u7ed5\u4e0d\u5f00\u7684\u4fe1\u4efb\u6210\u672c\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u4f53\u800c\u8a00\uff0cLeadDelta 5.0\u5c55\u73b0\u4e86\u6781\u5f3a\u7684\u4ea7\u54c1\u601d\u8003\u6df1\u5ea6\uff0c\u4f46\u9700\u8981\u6301\u7eed\u6253\u78e8AI\u7684\u201c\u5173\u7cfb\u6e29\u5ea6\u8ba1\u201d\u7cbe\u5ea6\uff0c\u5e76\u5efa\u7acb\u66f4\u6e05\u6670\u7684\u5173\u7cfb\u4f7f\u7528\u4f26\u7406\u6846\u67b6\u3002\u5426\u5219\uff0c\u5b83\u7ec8\u7a76\u4f1a\u505c\u7559\u5728\u201c\u597d\u7528\u7684\u9886\u82f1\u8f85\u52a9\u63d2\u4ef6\u201d\u5c42\u9762\uff0c\u96be\u4ee5\u771f\u6b63\u6210\u4e3a\u7ec4\u7ec7\u7ea7\u522b\u7684\u5173\u7cfb\u57fa\u7840\u8bbe\u65bd\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\">LeadDelta 5.0: AI Warm Intros + AI Inbox<\/span>\n <\/div>\n<div class=\"comment-content\">LeadDelta 5.0 brings your team’s relationships into one workspace, powered by AI agents that: [#1] Understand your network, their past roles, skills, and how everyone connects. [#2] Are trained in your tone of voice to draft and label your messages for you. [#3] Find the warmest intro paths into your top prospects, future hires, or investors. Plus custom feeds that surface posts only from the people who matter. One inbox. One network. Every warm intro your team is sitting on.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Edit: Thank you to PH admins for pushing our launch to other making it invisible to the audience: <\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/posts\/vedrasic_today-was-supposed-to-be-our-big-product-activity-7474911922060939265--Bwf\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.linkedin.com\/posts\/v…<\/a><\/p>\n<p>\u2014\u2014\u2014<\/p>\n<p>Hey PH \ud83d\udc4b<\/p>\n<p>I’m Ved, founder of LeadDelta. Five years ago, we started with a simple belief: your network is your most valuable and most ignored asset. You connect with thousands of people, then forget almost all of them.<\/p>\n<p>LeadDelta 5.0 is our biggest step toward fixing that. The idea behind this release is Professional Relationships Intelligence. Instead of every teammate sitting on a separate, siloed LinkedIn network, you pool them into one, and AI does the heavy lifting:<\/p>\n<p>\u2192 Warm intros: AI finds the best path to your next customer, hire, or investor through someone on your team who’s already connected.<br \/>\n\u2192 AI inbox: smart labels organize your messages, and trained drafts reply in your voice.<br \/>\n\u2192 AI-Chat: ask questions about your network and surface intel you didn’t know you had.<br \/>\n\u2192 Custom feeds: see posts only from the people who actually matter to you.<\/p>\n<p>We’ve built this alongside 40,000+ founders, operators, VCs\/PEs, and any imaginable Job Title from dozens of industries. <\/p>\n<p>I’ll be here all day answering everything. <\/p>\n<p>One thing I’d love to hear: What’s a warm intro that changed your business, and how did you find it?<\/p>\n<p>\ud83d\udccdP.S. For the next 48 hours, first-time customers get an extra 20% off all yearly plans, on top of the already 30% off (for year one).<\/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\">@vedranrasic \ud83d\udd25\ud83d\udd25\ud83d\udd25I\u2019m proud of LeadDelta team! Well done everyone and let\u2019s have successful launch day \ud83d\ude80 p.s. new website is amazing @alexrasic<\/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 many new releases, a product that keeps evolving! Great job<\/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\/@milana_jovic1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@milana_jovic1<\/a> \ud83e\udd29<\/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\">@milana_jovic1 we miss you M<\/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 team has been shipping back to back! Good stuff.<\/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\/@harshactually\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@harshactually<\/a> Thanks Harsh! \ud83e\udd29<\/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\">@harshactually thanks so much! good to have you on this journey<\/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>Woohooo! I’ve been using LeadDelta for a while, and always had a great experiance! I’m very excited to test out the new upgraded version!!<\/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\">@vojinpu thanks a lot! Excited to hear your fdbk once you do. \ud83d\udcaa<\/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 have been using LeadDelta since version 2, and this is the best version so far. It insanely what it can do for the growth and productivity. Bravo 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\">@bijelic we appreciate all your feedback Alex! More to come on the mcp front<\/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>LeadDelta is the leader in Linkedin CRMs. Ive been using the product for awhile and have enjoyed every minute of it. Not to mention if I run into any problems the team is responsive. You got my vote <\/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\">@jaketital your vote is always appreciated. Thank you for using LeadDelta!<\/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>Great progress and this team just keeps giving!! \ud83e\udd29<\/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\">@esma_kafedzic miss you Esma! Thx<\/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><a href=\"https:\/\/www.producthunt.com\/@vedranrasic\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vedranrasic<\/a> congrats on the launch! Super helpful when reaching out to people on Linkedin to keep track of all my conversation!<\/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\">@dan_meier1 great to have you Dan! I appreciate you!<\/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 it possible to plug-in LeadDelta into my Hermes Agent via MCP so he can have all the context 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p>Hi Filip, thanks for your question. We’re ready to pull your LeadDelta data into your system via MCP <br \/>Much more to come on this topic in the upcoming period. <\/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\">@filipattruestay great one! Yes! And more capabilities are to be unlocked very soon!<\/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>Awesome to see the progress \ud83c\udf89<\/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\">@fabiancelik thanks Fabi! Good to hear from you.<\/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>Great idea for warm intros, leveraging that network effect \ud83d\udcaa<\/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\/@ralic\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ralic<\/a> miss you guys in SF! 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><a href=\"https:\/\/www.producthunt.com\/@vedranrasic\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"vedranrasic\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vedranrasic<\/a> Working with this brilliant team is a daily honor, and we are incredibly proud of the innovative features we’ve developed. Thank you all for the continuous support! New website is amazing <a href=\"https:\/\/www.producthunt.com\/@alexrasic\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"alexrasic\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@alexrasic<\/a> <\/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\/@alexrasic\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@alexrasic<\/a>  <a href=\"https:\/\/www.producthunt.com\/@nikola_obradovic2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nikola_obradovic2<\/a> daily honor working alongside you, my friend! Alex killed it. \ud83d\udd25<\/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 warm intro piece is the most interesting feature here. Quick question on the ranking: most LinkedIn intro tools rank by degree-of-separation only, but real warmth needs signals like message recency, mutual post engagement, and topic overlap with the target. <\/p>\n<\/p>\n<p>What inputs does the AI weight when finding the warmest path, and does it account for relationship decay over time? The difference between a “warm” intro that gets a reply and a cold one is usually whether the bridge person actually still talks to the target.<\/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\/R3XO2DXZF56GXK\" class=\"app-title\">Glossary Extractor<\/a><\/p>\n<div class=\"one-liner\">Turn your content into a ready-to-use glossary in minutes<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">50<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Glossary Extractor \u662f\u4e00\u6b3e\u4e13\u4e3a\u672c\u5730\u5316\u56e2\u961f\u8bbe\u8ba1\u7684\u672f\u8bed\u81ea\u52a8\u63d0\u53d6\u5de5\u5177\uff0c\u53ea\u9700\u4e0a\u4f20\u6587\u4ef6\u5373\u53ef\u5728\u51e0\u5206\u949f\u5185\u83b7\u5f97\u7ed3\u6784\u5316\u672f\u8bed\u8868\uff0c\u89e3\u51b3\u4e86\u624b\u52a8\u4ece\u5185\u5bb9\u4e2d\u7b5b\u9009\u672f\u8bed\u8017\u65f6\u3001\u91cd\u590d\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\/55e437ca-08ec-4aac-a1ca-d76eca9425e4.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\/c742574c-5f81-4453-a05f-1d09e47f41b6.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\/1d03288e-13cc-4bd6-b398-f2f7de369546.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\/29f8bf86-a8ba-4eb7-99d2-1258174fe413.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\/62d40196-5cd2-4b1a-972b-be199d1e2102.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\/6c00fcce-f47e-4148-b3f9-f448f7941899.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\">Languages<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u672c\u5730\u5316\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u672f\u8bed\u63d0\u53d6<\/span><br \/>\n <span class=\"tag\">AI\u8f85\u52a9<\/span><br \/>\n <span class=\"tag\">\u7ffb\u8bd1\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">CAT\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u6587\u4ef6\u4e0a\u4f20<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u8ba1\u6570<\/span><br \/>\n <span class=\"tag\">\u591a\u8bed\u8a00\u652f\u6301<\/span><br \/>\n <span class=\"tag\">\u514d\u8d39\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6548\u7387<\/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\u4e3b\u8981\u5173\u6ce8\u51c6\u786e\u6027\u4e0eAI\u5de5\u5177\u5bf9\u6bd4\uff08\u7b97\u6cd5+AI\u51cf\u5c11\u5e7b\u89c9\u4e0e\u8bef\u8ba1\uff09\u3001\u7ffb\u8bd1\u529f\u80fd\uff08\u4ec5\u652f\u6301\u591a\u8bed\u8a00\u6587\u4ef6\u81ea\u52a8\u63d0\u53d6\u7ffb\u8bd1\uff09\u3001\u6587\u4ef6\u683c\u5f0f\u4e0e\u5927\u5c0f\uff08\u65e0\u4e0a\u9650\u4f46\u9700\u81f3\u5c11500\u8bcd\uff09\u3001\u5bfc\u51fa\u683c\u5f0f\uff08CSV\u53ef\u5bfc\u5165\u7ffb\u8bd1\u5e73\u53f0\uff09\u3001\u4ee5\u53ca\u7ed3\u679c\u7f16\u8f91\uff08\u4ea4\u4e92\u8868\u683c\u652f\u6301\u4fee\u6539\u6807\u8bb0\uff09\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 Glossary Extractor \u7cbe\u51c6\u5207\u5165\u672c\u5730\u5316\u6d41\u7a0b\u4e2d\u201c\u6700\u810f\u6700\u7d2f\u201d\u7684\u672f\u8bed\u51c6\u5907\u73af\u8282\uff0c\u4f46\u5b83\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u201c\u66ff\u4ee3\u719f\u7ec3\u5de5\u201d\uff0c\u800c\u5728\u4e8e\u201c\u628a\u719f\u7ec3\u5de5\u4ece\u5783\u573e\u65f6\u95f4\u91cc\u89e3\u653e\u51fa\u6765\u201d\u3002\u4ea7\u54c1\u91c7\u7528\u201c\u7b97\u6cd5\u521d\u7b5b+AI\u7cbe\u6821\u201d\u7684\u6df7\u5408\u7b56\u7565\uff0c\u7edd\u975e\u5671\u5934\u2014\u2014\u7eafAI\u9762\u5bf9\u957f\u6587\u6863\u7684\u5e7b\u6570\u548c\u8ba1\u6570\u5931\u6548\u662f\u771f\u5b9e\u75db\u70b9\uff0c\u800c\u7eaf\u89c4\u5219\u5f15\u64ce\u53c8\u8fc7\u4e8e\u50f5\u5316\uff0c\u8fd9\u79cd\u201c\u5148\u7528\u6b63\u5219\/\u7edf\u8ba1\u9501\u4f4f\u6548\u7387\u4e0e\u51c6\u786e\uff0c\u518d\u7528\u6a21\u578b\u8865\u6f0f\u964d\u566a\u201d\u7684\u601d\u8def\uff0c\u662f\u5f53\u524d\u6027\u4ef7\u6bd4\u6700\u9ad8\u7684\u5de5\u7a0b\u89e3\u3002\u4ece\u6295\u7968\u548c\u8bc4\u8bba\u770b\uff0c\u6838\u5fc3\u7528\u6237\uff08\u672c\u5730\u5316\u4ece\u4e1a\u8005\uff09\u53cd\u9988\u7406\u6027\u4e14\u5177\u4f53\uff0c\u8bf4\u660e\u4ea7\u54c1\u786e\u5b9e\u51fb\u4e2d\u4e86\u4ed6\u4eec\u7684\u5b9e\u9645\u75db\u70b9\uff0c\u800c\u975e\u6cdb\u6cdb\u7684\u201c\u8282\u7701\u65f6\u95f4\u201d\u3002\u4e0d\u8fc7\uff0c\u8be5\u5de5\u5177\u672c\u8d28\u4e0a\u662f\u514d\u8d39\u6d41\u91cf\u5165\u53e3\uff0c\u670d\u52a1\u4e8eAlconost\u66f4\u5e9e\u5927\u7684\u672c\u5730\u5316\u95ed\u73af\u751f\u6001\u3002\u5176\u6700\u5927\u9690\u5fe7\u5728\u4e8e\u201c\u53ef\u7528\u53ef\u4e0d\u7528\u201d\uff1a\u5bf9\u4e8e\u5355\u6b21\u9879\u76ee\uff0c\u7528\u6237\u7528\u5b8c\u5373\u8d70\uff0c\u7f3a\u4e4f\u7c98\u6027\uff1b\u4e14\u4e00\u65e6\u7ade\u54c1\uff08\u5982Smartling\u7b49\u5e73\u53f0\u5185\u7f6e\u7c7b\u4f3c\u529f\u80fd\uff09\u514d\u8d39\u5316\uff0c\u5176\u5438\u5f15\u529b\u4f1a\u8fc5\u901f\u8870\u51cf\u3002\u66f4\u806a\u660e\u7684\u505a\u6cd5\u662f\u5f00\u653eAPI\uff0c\u5e76\u8f93\u51fa\u652f\u6301\u6df1\u5ea6\u589e\u5220\u6539\u67e5\u7684\u4e91\u7aef\u5b9e\u4f8b\uff0c\u8ba9\u672f\u8bed\u5e93\u53d8\u6210\u53ef\u534f\u4f5c\u7684\u57fa\u7840\u8bbe\u65bd\uff0c\u800c\u4e0d\u662f\u4e00\u6b21\u6027\u7684CSV\u5bfc\u51fa\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\">Glossary Extractor<\/span>\n <\/div>\n<div class=\"comment-content\">Every serious localization project needs a glossary \u2013 and pulling the right terms out of your content by hand is slow, repetitive work. This tool does it for you: upload a file, get a structured term base back in minutes, with each term defined, counted, and (if your file is multilingual) translated. It pairs algorithmic term-finding with an AI cleanup pass, so the result is accurate enough to ship with just a quick review. It’s free and requires no signup.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>We made this mainly for localization teams and LSPs \u2013 the people who know how long terminology prep really takes. It’s part of a small ecosystem of tools we’re building, and yes, some of them (this one included) are free, partly as our contribution to the industry. Would really love to hear from other loc folks here: what does your current terminology workflow look like?<\/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\/@dnz_zh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dnz_zh<\/a> Impressive longevity. Supporting 120+ languages while serving everyone from indie developers to larger companies shows a lot of breadth. I like the emphasis on combining human expertise with technology\u2014localization is about much more than translation, and cultural context makes a huge 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<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@dnz_zh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@dnz_zh<\/a> amazing post<\/p>\n<\/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\">Hi everyone!<br \/>\nWe’re back with another tool for localization specialists. Any serious localization project needs a glossary \u2013 terms, definitions, DNT (do-not-translate) items \u2013 and scanning content to pick the right ones is a slow, unglamorous task.<br \/>\nAt Alconost we’re set on making the localization workflow faster, so we built this to speed up term extraction: upload your file, get a ready term base back.<br \/>\nYou’ll still want to check and maybe edit it, but it saves a lot of time. It’s free and needs no signup \u2013 give it a try and tell us what you think.<\/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\/@margarita_s88\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@margarita_s88<\/a> Congrats on the launch!! And I’m sure any tool that does the “boring” stuff would be very popular. I’m not familiar with localization like this but is the primary problem your product solves time 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<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How is this more accurate than just asking ChatGPT to pull out terms?<\/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\/@anastasiya_sabalenka\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@anastasiya_sabalenka<\/a> A pure AI approach tends to invent terms and miscount, and making the model count every term across a whole document is slow and expensive on top of being unreliable. <br \/>Here, a fast algorithmic pass builds a shortlist straight from your actual text and handles the counting exactly, then the AI only reviews that shortlist – dropping false terms and catching real ones it missed. Using each method for what it’s best at means less noise, accurate counts, lower cost, and far less manual cleanup. <br \/>Hope that answers your question \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<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Does the tool translate the terms itself?<\/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\/@uladzimirku\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@uladzimirku<\/a> No – it’s an extractor, not a translator. Translations only appear if they’re already in your file (a translation memory or a bilingual document). From a monolingual file you get a clean list of terms without translations.<\/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>Joining the others here \u2013 happy our tool is finally out. If you work with multilingual content, try uploading a translation memory specifically: you’ll see our Glossary Extractor come back with translations attached per language. Curious what you all think.<\/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>Hi Product Hunt! We built this because prepping terminology for a localization project is often a time-consuming task \u2013 and with our Glossary Extractor it can be done much faster. The tool does the boring part: an algorithmic pass pulls candidate terms from your file, then AI removes the noise, and the counts are calculated exactly in code (not guessed by a model). You upload what you already have \u2013 JSON, XLIFF, Excel, CSV, plain text \u2013 and get a structured glossary back in minutes. It’s free. Would love your honest feedback.<\/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>What file types does it handle best, like docs and PDFs, or plain text and spreadsheets?<\/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\/@karimbenkeroum\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@karimbenkeroum<\/a> Thank you for your question! Actually we haven’t noticed any correlation between the file type and the results. That said, if you have translations alongside your source text, it’s best to use a format that separates the languages into columns (like CSV or Excel) – that way the tool can pick up the translations and include them per language.<\/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 it handle a large file? Are there any limits on the file size or word count?<\/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\/@liza_diagel\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@liza_diagel<\/a> There’s no upper size limit, large files just take a little longer. It does need at least ~500 words to have enough context to extract reliable terms. The only setting you control is Max Terms, which caps how many terms land in the final glossary (default 500).<\/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>Can I edit the result before exporting?<\/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\/@nadezhda_verenich\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nadezhda_verenich<\/a> Yes, absolutely! You review the terms in an interactive table: remove what you don’t need, tweak a definition, mark a term as do-not-translate if needed, then export to CSV.<\/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>Whats the export format?<\/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\/@marcelo_macedo2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@marcelo_macedo2<\/a> The export is a CSV that imports into common translation platforms and CAT tools.<\/p>\n<p><\/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\">#19<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/DVMRPWCHMKQUVL\" class=\"app-title\">co\/core<\/a><\/p>\n<div class=\"one-liner\">An AI cooperative. Local models on spare macs.<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">25<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>co\/core \u662f\u4e00\u6b3e\u5c06\u7528\u6237\u95f2\u7f6e Mac \u7535\u8111\u7ec4\u6210\u5206\u5e03\u5f0f AI \u63a8\u7406\u5408\u4f5c\u793e\u7684\u5de5\u5177\uff0c\u8ba9\u5f00\u53d1\u8005\u65e0\u9700\u79df\u7528\u6602\u8d35\u4e91\u670d\u52a1\u5373\u53ef\u8fd0\u884c\u5f00\u6e90\u6a21\u578b\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\/10c2db7c-d382-45c7-b1b9-c68d5216d85a.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\/77afdcf1-f2b7-462a-8cce-61e416d87f6a.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\/af020af8-1ff8-4f1e-9781-e0c30c5bef00.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\/ddb6d919-5fb1-46a7-adf3-7e3c5df1b9fe.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\/817bfe6b-508d-4eed-a35b-d407aacd69b6.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\">Software Engineering<\/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\u63a8\u7406<\/span><br \/>\n <span class=\"tag\">\u5206\u5e03\u5f0f\u8ba1\u7b97<\/span><br \/>\n <span class=\"tag\">\u82f9\u679c\u82af\u7247<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90\u6a21\u578b<\/span><br \/>\n <span class=\"tag\">\u53bb\u4e2d\u5fc3\u5316\u57fa\u7840\u8bbe\u65bd<\/span><br \/>\n <span class=\"tag\">\u5408\u4f5c\u793e<\/span><br \/>\n <span class=\"tag\">\u79c1\u6709\u90e8\u7f72<\/span><br \/>\n <span class=\"tag\">\u793e\u533a\u7b97\u529b<\/span><br \/>\n <span class=\"tag\">ATProto<\/span><br \/>\n <span class=\"tag\">Mac\u96c6\u7fa4<\/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>\u65e9\u671f\u7528\u6237\u9ad8\u5ea6\u8ba4\u53ef\u5176\u6784\u5efa\u201c\u53bb\u4e2d\u5fc3\u5316\u8d85\u5927\u89c4\u6a21\u4e91\u201d\u7684\u613f\u666f\uff0c\u4f46\u540c\u65f6\u8be2\u95ee\u4e86\u4e24\u4e2a\u6838\u5fc3\u95ee\u9898\uff1a\u5b89\u5168\u6a21\u578b\u662f\u5426\u53ef\u9760\uff08\u56de\u590d\u79f0\u91c7\u7528\u82f9\u679c\u786c\u4ef6\u7684\u5b89\u5168\u533a\u4e0eATProto\u79bb\u7ebf\u9a8c\u8bc1\uff09\uff0c\u4ee5\u53ca\u6fc0\u52b1\u673a\u5236\u5982\u4f55\u8fd0\u4f5c\uff08\u56de\u590d\u79f0\u91c7\u7528\u7f51\u7edc\u5185\u90e8\u79ef\u5206\u6d41\u8f6c\u4e0e\u6708\u5ea6\u5206\u6210\u6a21\u5f0f\uff09\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 co\/core \u7684\u5ba3\u8a00\u975e\u5e38\u6027\u611f\u2014\u2014\u201c\u7528\u4f60\u5bb6\u5403\u7070\u7684 Mac \u5bf9\u6297 AWS\u201d\u3002\u8fd9\u672c\u8d28\u4e0a\u662f\u4e00\u573a\u7b97\u529b\u6c11\u4e3b\u5316\u7684\u5b9e\u9a8c\uff0c\u5b83\u6293\u4f4f\u4e86\u82f9\u679c M \u7cfb\u5217\u82af\u7247\u5728\u63a8\u7406\u573a\u666f\u4e0b\u80fd\u6548\u6bd4\u6781\u4f73\u5374\u957f\u671f\u88ab\u4e91\u5382\u5546\u4f4e\u4f30\u7684\u771f\u7a7a\u3002\u5176\u771f\u6b63\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u63d0\u4f9b\u6bd4\u4e91\u66f4\u5feb\u7684\u7b97\u529b\uff0c\u800c\u5728\u4e8e\u6784\u5efa\u4e00\u79cd\u201c\u6297\u5ba1\u67e5\u201d\u7684 AI \u57fa\u7840\u8bbe\u65bd\uff1a\u6ca1\u6709\u4e00\u4e2a\u4e2d\u592e\u673a\u6784\u53ef\u4ee5\u5173\u505c\u5b83\uff0c\u7b97\u529b\u6240\u6709\u6743\u5c5e\u4e8e\u793e\u533a\u3002\u7136\u800c\uff0c\u786c\u5e01\u7684\u53e6\u4e00\u9762\u662f\u73b0\u5b9e\u9aa8\u611f\u3002\u9996\u5148\uff0c\u5f53\u524d\u4ec5\u652f\u6301 Apple Silicon \u4e14\u4f9d\u8d56\u7528\u6237\u95f2\u7f6e\u8bbe\u5907\uff0c\u5bfc\u81f4\u63a8\u7406\u5ef6\u8fdf\u3001\u7f51\u7edc\u5e26\u5bbd\u548c\u8282\u70b9\u7a33\u5b9a\u6027\u90fd\u8fdc\u4e0d\u5982\u4e13\u4e1a\u4e91\uff0c\u53ea\u9002\u5408\u5b9e\u9a8c\u6027\u3001\u4f4e\u4f18\u5148\u7ea7\u7684\u6279\u5904\u7406\u4efb\u52a1\u3002\u5176\u6b21\uff0cATProto \u7684\u53bb\u4e2d\u5fc3\u5316\u51ed\u8bc1\u5c42\u867d\u7136\u521b\u65b0\uff0c\u4f46\u5c06\u4fe1\u8a89\u548c\u652f\u4ed8\u7ed1\u5b9a\u5728 Bluesky \u7684\u534f\u8bae\u6808\u4e0a\uff0c\u589e\u52a0\u4e86\u6280\u672f\u8026\u5408\u98ce\u9669\u3002\u6700\u540e\uff0c25 \u4e2a\u6295\u7968\u6570\u8bf4\u660e\u5b83\u4ecd\u5904\u4e8e\u6781\u65e9\u671f\u6781\u5ba2\u73a9\u5177\u7684\u9636\u6bb5\u3002\u5176\u6700\u5927\u7684\u654c\u4eba\u4e0d\u662f AWS\uff0c\u800c\u662f\u7528\u6237\u7535\u8111\u201c\u5173\u673a\u201d\u540e\u7b97\u529b\u5f52\u96f6\u7684\u539f\u5b50\u6027\u3002\u5982\u679c\u65e0\u6cd5\u89e3\u51b3\u8282\u70b9\u6301\u7eed\u5728\u7ebf\u4e0e\u5bb6\u5ead\u7535\u8d39\u4e4b\u95f4\u7684\u535a\u5f08\uff0c\u8fd9\u7ec8\u7a76\u4f1a\u6ca6\u4e3a\u4e00\u4e2a\u5145\u6ee1\u7406\u60f3\u4e3b\u4e49\u4f46\u89c4\u6a21\u53d7\u9650\u7684\u6280\u672f demo\u3002\u5b83\u503c\u5f97\u5173\u6ce8\uff0c\u4f46\u66f4\u503c\u5f97\u89c2\u671b\u7684\u662f\u5176\u662f\u5426\u80fd\u771f\u6b63\u8dd1\u901a\u201c\u7528\u6237\u8d21\u732e\u7b97\u529b\u83b7\u5f97 Token\uff0c\u518d\u7528 Token \u8d2d\u4e70\u63a8\u7406\u670d\u52a1\u201d\u7684\u98de\u8f6e\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\">co\/core<\/span>\n <\/div>\n<div class=\"comment-content\">co\/core is a cooperative for AI inference \u2014 people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">The maximalist vision of this is a cooperative hyper-hyperscaler: a compute backbone assembled out of the idle machines already sitting in closets and on desks, owned by ordinary people, that no single institution can switch off and no single owner can capture once it’s fully federated and represented in a structured graph.<\/p>\n<p>If this sounds like the kind of thing you’d want to poke at, you’re exactly who this is for. Run a node, dispatch a job, read the receipts. And please, help us build it. Come find us at <a href=\"https:\/\/bsky.app\/profile\/cocore.dev\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/bsky.app\/profile\/cocore.dev<\/a>, or start a job at console.cocore.dev.<\/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>Hey Andrew, can you share a little bit more about the security model and whether or not there’s any kind of compensation involved?<\/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\/@ranmagencom\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ranmagencom<\/a> Sure. Security model is operator-blind inference on Apple Silicon \u2014 in-process, Hardened Runtime, SIP immutability, Secure Enclave attestation (the established approach Darkbloom showed works). What’s new on our side is the decentralized receipt layer on ATProto: provider-signed records that verify offline, no coordinator in the middle.<\/p>\n<p>On compensation \u2014 in our design we’re running a co-op – its a direct token-for-token exchange of value with disbursements from the broker (i.e. if you generate text for me, you get credits you can use in-network, and then we get monthly disbursements from the network proportional to our use)<\/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\/FDCKUTZNDKSKZC\" class=\"app-title\">Treasury AI<\/a><\/p>\n<div class=\"one-liner\">A Personal CFO for your financial life<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">20<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Treasury AI \u662f\u4e00\u6b3e\u4e2a\u4ebaCFO\u667a\u80fd\u4f53\uff0c\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u95ee\u7b54\u7406\u89e3\u7528\u6237\u7684\u8d26\u6237\u3001\u9884\u7b97\u548c\u8d22\u52a1\u76ee\u6807\uff0c\u5c06\u201c\u6211\u4e70\u5f97\u8d77\u5417\u201d\u8fd9\u7c7b\u6a21\u7cca\u95ee\u9898\u8f6c\u5316\u4e3a\u5177\u4f53\u884c\u52a8\u5efa\u8bae\uff0c\u5e2e\u52a9\u7528\u6237\u544a\u522b\u7535\u5b50\u8868\u683c\uff0c\u505a\u51fa\u66f4\u660e\u667a\u7684\u8d22\u52a1\u51b3\u7b56\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\/a6bf1a51-9404-4317-bca2-7fa6171b471d.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\/387cc788-4b9d-4abb-a0f9-40e51576516d.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\/4a59fa4f-01e1-47c1-97a2-11b0034dce4c.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\/b9c0808b-97ee-45a0-941b-c823dae583de.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\/6a22646b-e2e6-440f-adb6-5c38eb18687b.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\/f694c6a5-d53b-45f8-ab23-c33977928eca.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/evPOYpMfszU\"><source src=\"https:\/\/youtu.be\/evPOYpMfszU\" 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\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Budgeting<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u4e2a\u4eba\u8d22\u52a1\u52a9\u7406<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u9884\u7b97\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u8ba2\u9605\u8ffd\u8e2a<\/span><br \/>\n <span class=\"tag\">\u8d22\u52a1\u95ee\u7b54<\/span><br \/>\n <span class=\"tag\">\u73b0\u91d1\u6d41\u5206\u6790<\/span><br \/>\n <span class=\"tag\">\u50a8\u84c4\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u591a\u8d26\u6237\u805a\u5408<\/span><br \/>\n <span class=\"tag\">\u81ea\u7136\u8bed\u8a00\u4ea4\u4e92<\/span><br \/>\n <span class=\"tag\">\u4e2a\u4ebaCFO<\/span><br \/>\n <span class=\"tag\">\u91d1\u878d\u79d1\u6280<\/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\u53efAI\u7528\u81ea\u7136\u8bed\u8a00\u56de\u7b54\u8d22\u52a1\u95ee\u9898\u7684\u521b\u610f\uff0c\u4f46\u63d0\u51fa\u4e24\u5927\u5173\u5207\uff1a\u4e00\u662f\u662f\u5426\u652f\u6301\u591a\u5e01\u79cd\u53ca\u5b9e\u65f6\u6c47\u7387\u6362\u7b97\uff08\u521b\u59cb\u4eba\u56de\u5e94\u5df2\u7eb3\u5165\u6700\u9ad8\u4f18\u5148\u7ea7\uff09\uff1b\u4e8c\u662f\u5efa\u8bae\u9700\u8981\u5c55\u793a\u51b3\u7b56\u63a8\u7406\u8fc7\u7a0b\uff0c\u5c24\u5176\u662f\u201c\u80fd\u5426\u79bb\u804c\u201d\u7b49\u91cd\u5927\u95ee\u9898\u65f6\uff0c\u5e94\u660e\u786e\u4f7f\u7528\u7684\u6570\u636e\u3001\u5047\u8bbe\u548c\u98ce\u9669\u56e0\u7d20\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 Treasury AI\u5207\u4e2d\u4e86\u4e00\u4e2a\u5173\u952e\u76f2\u533a\uff1a\u5927\u591a\u6570\u8bb0\u8d26\u5e94\u7528\u201c\u8ba4\u5f97\u652f\u51fa\u7c7b\u522b\uff0c\u5374\u4e0d\u8ba4\u5f97\u7528\u6237\u672c\u4eba\u201d\u3002\u5b83\u8bd5\u56fe\u7528LLM\u628a\u8d22\u52a1\u6570\u636e\u5347\u7ef4\u6210\u4e2a\u6027\u5316\u51b3\u7b56\u5bf9\u8bdd\uff0c\u8fd9\u6bd4\u5355\u7eaf\u505a\u56fe\u8868\u6216\u8d34\u6807\u7b7e\u66f4\u8d34\u8fd1\u201c\u52a9\u7406\u201d\u7684\u672c\u8d28\u3002\u4f46\u5fc5\u987b\u6307\u51fa\uff0c\u8be5\u4ea7\u54c1\u76ee\u524d\u4ecd\u9762\u4e34\u4e25\u5cfb\u7684\u4fe1\u4efb\u4e0e\u5b9e\u7528\u6027\u6311\u6218\u3002\u9996\u5148\uff0c\u8d22\u52a1\u51b3\u7b56\u7684\u5bb9\u9519\u7387\u6781\u4f4e\uff0c\u201c\u9ed1\u7bb1\u201d\u5f0f\u56de\u590d\u5373\u4f7f\u6709\u63a8\u5bfc\u8fc7\u7a0b\uff0c\u5176\u5e95\u5c42\u6a21\u578b\u4ecd\u53ef\u80fd\u4ea7\u751f\u5e7b\u89c9\u6216\u504f\u5dee\uff0c\u5c24\u5176\u5728\u7b97\u7a0e\u7387\u3001\u9884\u6d4b\u73b0\u91d1\u6d41\u8fd9\u7c7b\u9700\u8981\u7cbe\u786e\u8ba1\u7b97\u7684\u73af\u8282\uff0cAI\u7684\u201c\u5efa\u8bae\u201d\u4e00\u65e6\u51fa\u9519\uff0c\u540e\u679c\u8fdc\u4e25\u91cd\u4e8e\u9519\u6807\u7b7e\u4e00\u6b21\u5916\u5356\u5f00\u9500\u3002\u5176\u6b21\uff0c\u8bc4\u8bba\u4e2d\u7528\u6237\u63d0\u51fa\u7684\u591a\u5e01\u79cd\u652f\u6301\u95ee\u9898\uff0c\u6697\u793a\u5176\u771f\u5b9e\u91d1\u878d\u573a\u666f\u7684\u590d\u6742\u5ea6\u8fdc\u9ad8\u4e8edemo\u6f14\u793a\uff0c\u800c\u8fd9\u6b63\u662f\u7528\u6237\u4ece\u201c\u5c1d\u9c9c\u201d\u5230\u201c\u4f9d\u8d56\u201d\u7684\u95e8\u69db\u3002\u53e6\u5916\uff0c21\u7968\u7684\u53cd\u9988\u91cf\u7ea7\u8bf4\u660e\u4ea7\u54c1\u4ecd\u5728\u65e9\u671f\u51b7\u542f\u52a8\u9636\u6bb5\uff0cAI\u6a21\u578b\u5177\u4f53\u8c03\u7528\u4e86\u54ea\u4e9b\u94f6\u884cAPI\u3001\u5982\u4f55\u4fdd\u969c\u6570\u636e\u9690\u79c1\uff08\u5c24\u5176\u662f\u5173\u8054\u5de5\u4f5c\u3001\u76ee\u6807\u7b49\u4e2a\u4eba\u4fe1\u606f\uff09\u4e5f\u672a\u5728\u4ecb\u7ecd\u4e2d\u5145\u5206\u62ab\u9732\u3002\u6574\u4f53\u6765\u770b\uff0cTreasury AI\u662f\u4e00\u679a\u6709\u4ef7\u503c\u7684\u9526\u4e0a\u6dfb\u82b1\u578b\u5de5\u5177\uff0c\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u628a\u201c\u8bb0\u8d26\u201d\u4ece\u8f93\u5165\u52a8\u4f5c\u53d8\u4e3a\u601d\u8003\u50ac\u5316\u5242\uff0c\u4f46\u82e5\u8981\u5728\u201c\u8be5\u4e0d\u8be5\u4e70\u623f\u201d\u8fd9\u7c7b\u9ad8\u8d4c\u6ce8\u95ee\u9898\u4e0a\u53d6\u4ee3\u4eba\u7c7b\u5224\u65ad\uff0c\u5b83\u8fd8\u9700\u8981\u66f4\u786c\u6838\u7684\u98ce\u9669\u7ba1\u63a7\u548c\u5ba1\u8ba1\u94fe\u6761\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\">Treasury AI<\/span>\n <\/div>\n<div class=\"comment-content\">Treasury AI is your personal CFO agent: it understands your accounts, budgets, subscriptions, and goals, then turns plain-English money questions into specific next steps. Ask \u201cCan I afford this?\u201d, \u201cWhere is my money leaking?\u201d, or \u201cWhat should I do next?\u201d and get answers grounded in your real financial life. It proactively flags subscriptions, cash-flow risks, tax-advantaged moves, and savings opportunities so you can make better decisions without spreadsheets.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\ud83d\udc4b Hey PH! Junead here, founder of Treasury.<\/p>\n<p>Most finance apps show you charts. Treasury answers questions.<\/p>\n<p>The problem:<br \/>\nEvery finance app treats you like a stranger. Same budget template, same category list, same “you spent $X on food.” None of them know your job, your goals, or your life.<\/p>\n<p>What Treasury is:<br \/>\nThe AI financial assistant that understands your whole financial life. Tell it your job, goals, situation \u2014 it remembers. Ask it anything about your money and get answers built around you. Not everyone else.<\/p>\n<p>Try asking it:<br \/>\n“Where did my money actually go last month?”<br \/>\n“Which subscription should I cancel first to save the most?”<br \/>\n“I’m a [your job] \u2014 what discounts should I know about?”<br \/>\n“Can I afford [a house \/ a $2K trip \/ leaving my job]?”<\/p>\n<p>What’s new:<br \/>\n\ud83e\udd16 AI assistant that knows you<br \/>\n\u2728 Redesigned, liquid-glass UI<br \/>\n\ud83d\udcf1 Available on Web, iOS, and iPadOS<br \/>\n\ud83d\udcb8 Auto-categorization + recurring pattern detection<br \/>\n\ud83c\udfe6 12,000+ institutions, every device<\/p>\n<p>Who it’s for: anyone tired of finance apps that don’t know them.<\/p>\n<p>Any questions about Treasury, the AI, or how it actually works? Drop them below. I’ll reply to every comment today<\/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>Idea is really cool! I have only one question for now – does it support different currencies? I’m from Ukraine but live in Canada and some times I use Ukrainian card to pay. Also I have some saving in USD. It would be nice to consolidate different currencies into one “base” currency<\/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\/@bogdan_stefanjuk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@bogdan_stefanjuk<\/a> Hey Bogdan! Love that use case. Right now, multi-currency support is our top priority on the roadmap. We want to make sure we handle real-time FX conversions and historical net worth tracking perfectly before we roll it out. Consolidating everything into a single “base” currency (like CAD for you) is exactly how we envision it working. Stay tuned\u2014it’s coming!<\/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 like the idea of asking plain-English questions like \u201ccan I afford this?\u201d or \u201cwhere is money leaking?\u201d and getting an answer based on your actual situation, not a generic budget template.<\/p>\n<\/p>\n<p>The trust part feels especially important here though. For financial decisions, I\u2019d want to understand why Treasury gives a recommendation, what data it used, and where the uncertainty is.<\/p>\n<\/p>\n<p>Curious how you handle that. Does Treasury show the reasoning behind its suggestions, especially for bigger questions like leaving a job, taking a trip, or making a major purchase?<\/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\/@andrasczeizel\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@andrasczeizel<\/a> Hey Andras! You hit the nail on the head. For big life decisions, a “black box” answer isn’t just unhelpful\u2014it’s stressful.<\/p>\n<p>Treasury doesn’t just spit out a “Yes” or “No.” When you ask a major question like “Can I afford to leave my job?”, it walks you through its math. It breaks down the response into the exact variables it’s looking at: your current runway (cash reserves), your recurring fixed expenses, and the specific assumptions it’s making about your future timeline. If there’s an uncertainty\u2014like a variable expense or an unpredictable income stream\u2014it highlights that as a risk factor and asks you to clarify or adjust it.<\/p>\n<p>We believe an AI financial assistant should act like a collaborative partner, not an unquestionable oracle!<\/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<\/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 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