\n \n \n Product Hunt \u6bcf\u65e5\u70ed\u699c 2026-03-17<\/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 | 2026-03-17<\/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\/RCNKA5LRLRVAU6\" class=\"app-title\">My Computer by Manus AI<\/a><\/p>\n<div class=\"one-liner\">Automate files, apps, and workflows with Manus Desktop<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">401<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>\u4e00\u6b3e\u5c06AI\u667a\u80fd\u4f53\u4ece\u4e91\u7aef\u90e8\u7f72\u5230\u672c\u5730\u7684\u684c\u9762\u5e94\u7528\uff0c\u901a\u8fc7\u6267\u884c\u547d\u4ee4\u884c\u6307\u4ee4\u76f4\u63a5\u64cd\u4f5c\u672c\u5730\u6587\u4ef6\u3001\u5de5\u5177\u548c\u5e94\u7528\uff0c\u89e3\u51b3\u4e86\u7528\u6237\u5728\u6587\u4ef6\u7ba1\u7406\u3001\u5f00\u53d1\u5de5\u4f5c\u6d41\u7b49\u672c\u5730\u590d\u6742\u4efb\u52a1\u4e2d\u81ea\u52a8\u5316\u6548\u7387\u4f4e\u4e0b\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\/4f93dc17-7c93-49a2-acd1-468f2b8ac318.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\/38d31e7b-66de-487b-bf64-2c814f1ac2fa.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\/3dcd77bf-631f-423b-9703-635835e98f41.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\/a91fffaa-13cc-4e3a-a315-630cd0d4cd56.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\/1bdb3003-4fe7-4c0b-8756-76304fae8f32.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\/96cd8f94-ca22-444c-8019-e3da2f72a59e.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\/7975f62f-c7c1-4894-8080-be05d6be7205.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/xtjbiY-tJKk?si=CPFCDWAxtszP6p6N\"><source src=\"https:\/\/youtu.be\/xtjbiY-tJKk?si=CPFCDWAxtszP6p6N\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Tech<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u672c\u5730AI\u667a\u80fd\u4f53<\/span><br \/>\n <span class=\"tag\">\u684c\u9762\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u6587\u4ef6\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u65e0\u4ee3\u7801\u5f00\u53d1<\/span><br \/>\n <span class=\"tag\">\u547d\u4ee4\u884c\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u8fdc\u7a0b\u4efb\u52a1\u89e6\u53d1<\/span><br \/>\n <span class=\"tag\">\u751f\u4ea7\u529b\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">AI\u4ee3\u7406<\/span><br \/>\n <span class=\"tag\">\u4eba\u673a\u534f\u4f5c<\/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\u672c\u5730\u5316AI\u4ee3\u7406\u7684\u4ef7\u503c\uff0c\u8ba4\u4e3a\u5176\u586b\u8865\u4e86\u4e91\u7aefAI\u4e0e\u672c\u5730\u5de5\u4f5c\u6d41\u7684\u9e3f\u6c9f\u3002\u4e3b\u8981\u5173\u6ce8\u70b9\u96c6\u4e2d\u5728\uff1a\u672c\u5730\u6267\u884c\u6743\u9650\u7684\u7cbe\u7ec6\u63a7\u5236\u4e0e\u5b89\u5168\u4fe1\u4efb\u673a\u5236\u3001\u540e\u53f0\u8d44\u6e90\u6d88\u8017\u3001\u8fdc\u7a0b\u89e6\u53d1\u529f\u80fd\u7684\u53ef\u9760\u6027\uff08\u5982\u8bbe\u5907\u4f11\u7720\u65f6\u7684\u961f\u5217\u5904\u7406\uff09\uff0c\u4ee5\u53ca\u5176\u4e0eClaude Desktop\u7b49\u7ade\u54c1\u7684\u5dee\u5f02\u5316\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 Manus\u7684\u201cMy Computer\u201d\u5e76\u975e\u7b80\u5355\u7684\u53c8\u4e00\u4e2aAI\u684c\u9762\u5ba2\u6237\u7aef\uff0c\u5176\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e**\u5c06AI\u7684\u201c\u51b3\u7b56\u6743\u201d\u4e0e\u64cd\u4f5c\u7cfb\u7edf\u7684\u201c\u6267\u884c\u6743\u201d\u8fdb\u884c\u4e86\u5371\u9669\u800c\u5927\u80c6\u7684\u7f1d\u5408**\u3002\u5b83\u8bd5\u56fe\u8ba9AI\u667a\u80fd\u4f53\u7a81\u7834\u201c\u6c99\u76d2\u201d\u7684\u7ec8\u6781\u9650\u5236\uff0c\u4ece\u4e91\u7aef\u7684\u4fe1\u606f\u5904\u7406\u8005\uff0c\u8715\u53d8\u4e3a\u672c\u5730\u73af\u5883\u7684\u771f\u5b9e\u201c\u64cd\u76d8\u624b\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u8fd9\u6b65\u68cb\u8d70\u5f97\u65e2\u7cbe\u51c6\u53c8\u9669\u5cfb\u3002\u7cbe\u51c6\u5728\u4e8e\uff0c\u5b83\u76f4\u51fb\u4e86\u5f53\u524dAI\u5e94\u7528\u7684\u963f\u5580\u7409\u65af\u4e4b\u8e35\uff1a\u771f\u6b63\u7684\u751f\u4ea7\u529b\u6c89\u6dc0\u4e8e\u672c\u5730\u2014\u2014\u6563\u4e71\u7684\u6587\u4ef6\u5939\u3001\u672c\u5730\u7684\u5f00\u53d1\u73af\u5883\u3001\u79c1\u5bc6\u7684\u4e1a\u52a1\u6570\u636e\uff0c\u8fd9\u4e9b\u90fd\u662f\u4e91\u7aefAI\u65e0\u6cd5\u89e6\u53ca\u7684\u201c\u6697\u7269\u8d28\u201d\u3002Manus\u901a\u8fc7\u6388\u6743AI\u6267\u884c\u547d\u4ee4\u884c\uff0c\u7406\u8bba\u4e0a\u53ef\u4ee5\u8c03\u7528\u8ba1\u7b97\u673a\u7684\u4e00\u5207\u80fd\u529b\uff0c\u5b9e\u73b0\u4e86\u81ea\u52a8\u5316\u7ef4\u5ea6\u7684\u964d\u7ef4\u6253\u51fb\u3002\u9669\u5cfb\u4e4b\u5904\u5219\u5728\u4e8e\uff0c\u5b83\u5c06\u5de8\u5927\u7684\u5b89\u5168\u4e0e\u4fe1\u4efb\u5305\u88b1\u629b\u7ed9\u4e86\u7528\u6237\u3002\u6bcf\u4e00\u6761\u88ab\u6267\u884c\u7684\u547d\u4ee4\u90fd\u53ef\u80fd\u5e26\u6765\u4e0d\u53ef\u9006\u7684\u540e\u679c\uff0c\u8bc4\u8bba\u4e2d\u53cd\u590d\u51fa\u73b0\u7684\u201c\u6743\u9650\u201d\u3001\u201c\u4fe1\u4efb\u201d\u3001\u201c\u80cc\u666f\u8fd0\u884c\u201d\u7b49\u5173\u952e\u8bcd\uff0c\u6b63\u662f\u8fd9\u79cd\u96c6\u4f53\u7126\u8651\u7684\u4f53\u73b0\u3002\u4ea7\u54c1\u6210\u8d25\u7684\u5173\u952e\uff0c\u5c06\u4e0d\u5728\u4e8e\u5176AI\u80fd\u529b\u6709\u591a\u5f3a\uff0c\u800c\u5728\u4e8e\u5176\u8bbe\u8ba1\u7684\u201c\u5b89\u5168\u62a4\u680f\u201d\u548c\u201c\u5ba1\u6279\u673a\u5236\u201d\u662f\u5426\u8db3\u591f\u7cbe\u7ec6\u3001\u900f\u660e\uff0c\u80fd\u8ba9\u7528\u6237\u653e\u5fc3\u5730\u5c06\u7cfb\u7edf\u7ea7\u6743\u9650\u4e0b\u653e\u3002\n <\/p>\n<p class=\"ai-content\">\n \u6b64\u5916\uff0c\u5176\u201c\u8fdc\u7a0b\u89e6\u53d1\u201d\u529f\u80fd\u9887\u5177\u91ce\u5fc3\uff0c\u8bd5\u56fe\u5c06\u4e2a\u4eba\u8ba1\u7b97\u673a\u53d8\u6210\u968f\u65f6\u5f85\u547d\u7684\u81ea\u52a8\u5316\u670d\u52a1\u5668\u3002\u4f46\u8fd9\u8fdb\u4e00\u6b65\u6a21\u7cca\u4e86\u5b89\u5168\u8fb9\u754c\uff0c\u5e76\u5f15\u51fa\u4e86\u8bbe\u5907\u72b6\u6001\u7ba1\u7406\uff08\u5982\u4f11\u7720\uff09\u7b49\u5de5\u7a0b\u96be\u9898\u3002\u4e0eClaude Desktop\u7b49\u76f8\u6bd4\uff0cManus\u66f4\u504f\u5411\u4e8e\u201c\u5de5\u7a0b\u5e08\u7684\u81ea\u52a8\u5316\u4f19\u4f34\u201d\uff0c\u5f3a\u8c03\u901a\u8fc7CLI\u8fdb\u884c\u590d\u6742\u6784\u5efa\u548c\u6279\u5904\u7406\uff0c\u800c\u975e\u8f7b\u91cf\u7684\u65e5\u5e38\u95ee\u7b54\u3002\u5b83\u7684\u771f\u6b63\u5bf9\u624b\u6216\u8bb8\u4e0d\u662f\u5176\u4ed6AI\u684c\u9762\u5e94\u7528\uff0c\u800c\u662f\u7528\u6237\u6839\u6df1\u8482\u56fa\u7684\u5b89\u5168\u4e60\u60ef\u548c\u5bf9\u7cfb\u7edf\u63a7\u5236\u6743\u7684\u4e0d\u820d\u3002\u5b83\u5f00\u542f\u7684\u662f\u4e00\u573a\u5173\u4e8e\u201c\u4eba\u7c7b\u5e94\u5728\u591a\u5927\u7a0b\u5ea6\u4e0a\u5c06\u6267\u884c\u6743\u8ba9\u6e21\u7ed9AI\u201d\u7684\u793e\u4f1a\u5b9e\u9a8c\uff0c\u5176\u53d1\u5c55\u5c06\u6df1\u523b\u5b9a\u4e49\u4e0b\u4e00\u4ee3\u4eba\u673a\u534f\u4f5c\u7684\u8303\u5f0f\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\">My Computer by Manus AI<\/span>\n <\/div>\n<div class=\"comment-content\">Meet My Computer, the core feature of the Manus Desktop app. It brings Manus out of the cloud and onto your computer, letting your AI agent work directly with local files, tools, and apps. Organize thousands of photos, rename hundreds of invoices, or build Swift desktop apps without writing code. Combine with connectors, Projects, Agents, and Scheduled Tasks to automate workflows. Available now for macOS and Windows.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Manus just took a big step forward with <strong>My Computer<\/strong>, bringing its AI agent out of the cloud and directly onto your desktop.<\/p>\n<\/p>\n<p>Until now, Manus worked in a cloud sandbox. But most of our real work lives locally: files, dev environments, apps, and workflows. My Computer bridges that gap by letting Manus execute command line instructions on your computer to read, organize, edit files, and control local applications.<\/p>\n<\/p>\n<p>What makes it interesting is the automation potential. Manus can organize messy folders, rename hundreds of files, build apps through CLI tools like Python, Node.js or Swift, and even run tasks using your machine\u2019s idle compute.<\/p>\n<\/p>\n<p>You can also assign tasks remotely, for example, asking Manus to find a file on your home computer and email it through Gmail while you’re away.<\/p>\n<\/p>\n<p><strong>Key highlights<\/strong>:<\/p>\n<ul>\n<li>\n<p>Works directly with local files, tools and apps<\/p>\n<\/li>\n<li>\n<p>Executes terminal commands with your approval<\/p>\n<\/li>\n<li>\n<p>Automates repetitive file and workflow tasks<\/p>\n<\/li>\n<li>\n<p>Can build software projects via CLI tools<\/p>\n<\/li>\n<li>\n<p>Uses idle compute resources in the background<\/p>\n<\/li>\n<li>\n<p>Lets you trigger tasks remotely across devices<\/p>\n<\/li>\n<\/ul>\n<p>This seems especially useful for developers, builders, and anyone managing large local workflows who wants automation beyond browser-based AI tools.<\/p>\n<\/p>\n<p>It reminds me of what Perplexity is doing with <a href=\"https:\/\/www.producthunt.com\/products\/perplexity-ai\/launches\/perplexity-computer\" target=\"_blank\" rel=\"noopener\">Perplexity Computer<\/a>, but focused on letting an AI agent directly interact with your own machine and workflows.<\/p>\n<\/p>\n<p>What use cases are you thinking with My Computer by <a href=\"https:\/\/www.producthunt.com\/products\/manus\" target=\"_blank\" rel=\"noopener\">@Manus<\/a>?<\/p>\n<\/p>\n<p><strong>I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified \u2192<\/strong> <a href=\"https:\/\/www.producthunt.com\/@rohanrecommends\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rohanrecommends<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>10<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@rohanrecommends\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rohanrecommends<\/a> <\/p>\n<\/p>\n<p>This shift from cloud only agents to something that can actually work on your local machine feels important. Most of the real friction in daily work is around files, folders, dev environments, and small repetitive tasks that never make it to polished automation tools. <\/p>\n<\/p>\n<p>Having an agent that can step into that space and handle things like bulk file cleanup or running CLI workflows could save a lot of time.<\/p>\n<\/p>\n<p>I do wonder how trust builds over time with something that has access to local systems. When tasks run in the background or are triggered remotely, what helps users feel confident that nothing critical will be changed or executed in the wrong 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<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@rohanrecommends\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rohanrecommends<\/a> Wow this caught my attention, the idea of an AI that actually carries out tasks instead of just responding is really compelling.<\/p>\n<\/p>\n<p>One thing I noticed straight away: the primary action leans heavily toward downloading the app, while the web experience feels secondary.<\/p>\n<\/p>\n<p>From a first-time user perspective, that creates a bit of hesitation it\u2019s a big step to install without fully understanding what the product can do yet.<\/p>\n<\/p>\n<p>How do users typically move from landing on the page to actually trying 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<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@rohanrecommends\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rohanrecommends<\/a> The remote task triggering stands out. I’ve been manually bridging cloud agents and local tools, and the gap is real. Does it queue tasks if the local machine is asleep, or do they just fail?<\/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 really interesting . How does Manus handle permissions for local tasks? Do we have fine grained control over what it can and can\u2019t do on our machine, or is it an all-or-nothing approval for commands?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>7<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>so it’s a claude desktop clone?<\/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\/@jibran_akhtar\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jibran_akhtar<\/a> I guess this is openclaw or <a href=\"https:\/\/www.producthunt.com\/products\/perplexity-ai\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"perplexity-ai\" target=\"_blank\" rel=\"noopener\">@Perplexity<\/a> Personal Computer analogue. <\/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=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@jibran_akhtar\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@jibran_akhtar<\/a> Interesting.. curious where cloud vs local end up landing in 3 mos from now<\/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>Bringing AI agent capabilities directly to the local desktop is a game-changer. As someone who values <strong>local-first workflows<\/strong>, I\u2019m curious about the performance side\u2014does running Manus locally consume significant CPU while it’s processing CLI tasks in the background?<\/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>Moving Manus from cloud-only sandboxing to direct local machine access via CLI execution is the natural next step \u2014 most real productivity workflows involve local files, dev environments, and desktop apps that a cloud-only agent simply can’t touch, so bridging that gap unlocks an entirely different class of automation tasks. The remote task triggering is a compelling feature for power users, but how does Manus handle permission scoping on local execution \u2014 is there a granular approval system for different command types, or does the user approve each terminal command individually?<\/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>Giving this a shot! Looks a lot like Claude desktop, and I am OK with that, happy to see a familiar Ui <\/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\">congratulations<br \/>\n seems like Manus is further igniting the Computer fire. more is always better.<\/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>It reminds me a lot of Claude desktop, which I\u2019m totally fine with. Glad to see a familiar UI.<\/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>Really interesting concept: a general AI agent that actually executes complex tasks instead of just responding feels like a big shift toward true automation. Congrats on the launch! What kinds of tasks does Manus handle most reliably right now without needing human intervention?<\/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>Great stuff! So far it runs smoother than Claude’s Dispatcher<\/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\">This seems compelling but leaves me wondering if Manus still burn through credits without completing tasks fully post-acquisition. If that has improved, this could be worth the download!<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How easy is it to set up remote task triggering ? I’m curious about how well it works across devices, especially if I want to trigger tasks from a phone or another machine .<\/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><strong>Manus<\/strong> is a general AI agent that transforms your thoughts into actions, handling tasks across work and life. It helps you get things done effortlessly while you focus on other priorities.<\/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\">this looks powerful. automating across apps is where things usually get messy fast. how are you handling workflow visibility when multiple processes are running at the same time<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">#2<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/T2R3JQSWTRVF5S\" class=\"app-title\">Lightning Rod<\/a><\/p>\n<div class=\"one-liner\">Turn real-world data into training datasets fast<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">298<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Lightning Rod \u662f\u4e00\u6b3e\u901a\u8fc7SDK\u548cAI\u4ee3\u7406\uff0c\u5c06\u65b0\u95fb\u3001\u8d22\u62a5\u3001\u5185\u90e8\u6587\u6863\u7b49\u73b0\u5b9e\u4e16\u754c\u6570\u636e\uff0c\u5728\u65e0\u9700\u4eba\u5de5\u6807\u6ce8\u7684\u60c5\u51b5\u4e0b\uff0c\u5feb\u901f\u81ea\u52a8\u8f6c\u5316\u4e3a\u53ef\u7528\u4e8e\u5927\u6a21\u578b\u5fae\u8c03\u7684\u9ad8\u8d28\u91cf\u8bad\u7ec3\u6570\u636e\u96c6\uff0c\u89e3\u51b3\u4e86AI\u9879\u76ee\u56e0\u8bad\u7ec3\u6570\u636e\u51c6\u5907\u7f13\u6162\u3001\u6602\u8d35\u800c\u53d7\u963b\u7684\u6838\u5fc3\u74f6\u9888\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\/7bf7b9c3-98c0-46eb-82a0-4116777a2224.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\/7113400a-9d2d-4f6b-90ab-524124142f98.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\/b9df6273-e8ab-45b8-89e6-22441df9a5af.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\/0caaafdd-ceb1-4a67-9a7b-378a77952f3d.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\/c0549df4-4a3e-409b-bb32-25c97a6819e9.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\/4f82a1f2-072e-4222-a7d1-1451be19956a.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\/1e388d8e-1903-4e95-8be1-f22fdd01ac7b.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\">\u8bad\u7ec3\u6570\u636e\u751f\u6210<\/span><br \/>\n <span class=\"tag\">AI\u6570\u636e\u57fa\u7840\u8bbe\u65bd<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u6807\u6ce8<\/span><br \/>\n <span class=\"tag\">\u5927\u6a21\u578b\u5fae\u8c03<\/span><br \/>\n <span class=\"tag\">SDK\u5f00\u53d1\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u65e0\u4ee3\u7801AI<\/span><br \/>\n <span class=\"tag\">\u6570\u636e provenance<\/span><br \/>\n <span class=\"tag\">\u4f01\u4e1aAI<\/span><br \/>\n <span class=\"tag\">\u9884\u6d4b\u5206\u6790<\/span><br \/>\n <span class=\"tag\">\u6587\u6863\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\u8ba4\u53ef\u5176\u89e3\u51b3AI\u8bad\u7ec3\u6570\u636e\u74f6\u9888\u7684\u4ef7\u503c\uff0c\u5173\u6ce8\u70b9\u96c6\u4e2d\u5728\uff1a\u6570\u636e\u8d28\u91cf\u4fdd\u969c\u673a\u5236\uff08\u53bb\u91cd\u3001\u53bb\u566a\u3001\u9632\u504f\uff09\u3001\u5bf9\u79c1\u6709\u6570\u636e\u7684\u652f\u6301\u4e0ePII\u5904\u7406\u3001\u65e0\u4ee3\u7801\u754c\u9762\u53ef\u7528\u6027\u3001\u4ee5\u53ca\u5176\u5ba3\u79f0\u201c\u51fb\u8d25\u66f4\u5927\u89c4\u6a21\u524d\u6cbf\u6a21\u578b\u201d\u7684\u57fa\u51c6\u6d4b\u8bd5\u771f\u5b9e\u6027\u3002\u4e5f\u6709\u7528\u6237\u5bf9\u5176Logo\u8bbe\u8ba1\u63d0\u51fa\u7248\u6743\u7591\u8651\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 Lightning Rod \u63d0\u51fa\u7684\u201c\u7528\u73b0\u5b9e\u4e16\u754c\u7ed3\u679c\u4f5c\u4e3a\u76d1\u7763\u4fe1\u53f7\u201d\u662f\u4e00\u4e2a\u5de7\u5999\u4e14\u53ef\u80fd\u5177\u6709\u98a0\u8986\u6027\u7684\u8303\u5f0f\u8f6c\u6362\u3002\u5b83\u672c\u8d28\u4e0a\u662f\u5728\u5c1d\u8bd5\u5c06\u5386\u53f2\u6570\u636e\u6d41\u4e2d\u7684\u201c\u672a\u6765\u5df2\u9a8c\u8bc1\u7684\u4e8b\u5b9e\u201d\u81ea\u52a8\u5316\u3001\u7ed3\u6784\u5316\u5730\u53cd\u54fa\u7ed9\u6a21\u578b\uff0c\u4ece\u800c\u7ed5\u8fc7\u6602\u8d35\u4e14\u53ef\u80fd\u5e26\u6709\u4eba\u4e3a\u504f\u89c1\u7684\u4eba\u5de5\u6807\u6ce8\u3002\u8fd9\u5e76\u975e\u7b80\u5355\u7684\u6570\u636e\u6e05\u6d17\u5de5\u5177\uff0c\u800c\u662f\u4e00\u4e2a\u8bd5\u56fe\u5c06\u201c\u4e16\u754c\u8fdb\u7a0b\u201d\u672c\u8eab\u7f16\u7801\u4e3a\u8bad\u7ec3\u96c6\u7684\u91ce\u5fc3\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5176\u5ba3\u79f0\u7528\u66f4\u5c0f\u6a21\u578b\u51fb\u8d25\u524d\u6cbf\u5927\u6a21\u578b\u7684\u6848\u4f8b\uff0c\u662f\u6838\u5fc3\u5356\u70b9\uff0c\u4f46\u4e5f\u6700\u9700\u5ba1\u89c6\u3002\u8fd9\u9ad8\u5ea6\u4f9d\u8d56\u4e8e\u5176\u201c\u672a\u6765\u5373\u6807\u7b7e\u201d\u65b9\u6cd5\u5728\u7279\u5b9a\u9884\u6d4b\u6027\u4efb\u52a1\u4e0a\u7684\u6709\u6548\u6027\uff0c\u4ee5\u53ca\u5176\u8d28\u91cf\u8bc4\u5206\u3001\u53bb\u91cd\u8fc7\u6ee4\u7ba1\u9053\u7684\u4e25\u8c28\u6027\u3002\u5bf9\u4e8e\u975e\u65f6\u5e8f\u6027\u3001\u903b\u8f91\u63a8\u7406\u6216\u521b\u610f\u751f\u6210\u7c7b\u4efb\u52a1\uff0c\u8be5\u65b9\u6cd5\u7684\u4ef7\u503c\u53ef\u80fd\u5927\u6253\u6298\u6263\u3002\u8bc4\u8bba\u4e2d\u5173\u4e8e\u6570\u636e\u504f\u89c1\u3001\u566a\u58f0\u7684\u62c5\u5fe7\u5207\u4e2d\u8981\u5bb3\uff0c\u5c3d\u7ba1\u56e2\u961f\u7ed9\u51fa\u4e86\u6280\u672f\u56de\u5e94\uff0c\u4f46\u201c\u81ea\u52a8\u5316\u201d\u4e0e\u201c\u9ad8\u8d28\u91cf\u201d\u4e4b\u95f4\u7684\u56fa\u6709\u5f20\u529b\u4ecd\u662f\u5176\u9700\u8981\u957f\u671f\u81ea\u8bc1\u7684\u547d\u9898\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u5f62\u6001\uff08SDK+\u65e0\u4ee3\u7801\u754c\u9762\uff09\u663e\u793a\u5176\u7b56\u7565\u662f\u540c\u65f6\u4fd8\u83b7\u5de5\u7a0b\u5e08\u4e0e\u4e1a\u52a1\u56e2\u961f\uff0c\u5207\u5165\u70b9\u662f\u660e\u667a\u7684\u3002\u771f\u6b63\u7684\u6311\u6218\u5728\u4e8e\uff0c\u5982\u4f55\u5c06\u8fd9\u5957\u65b9\u6cd5\u8bba\u4ece\u76ee\u524d\u5c55\u793a\u8f83\u597d\u7684\u9884\u6d4b\u3001\u5206\u7c7b\u9886\u57df\uff0c\u6cdb\u5316\u5230\u66f4\u590d\u6742\u7684AI\u4efb\u52a1\u573a\u666f\u3002\u5982\u679c\u6210\u529f\uff0c\u5b83\u53ef\u80fd\u6210\u4e3aAI\u6570\u636e\u6d41\u6c34\u7ebf\u4e2d\u7684\u5173\u952e\u201c\u8f6c\u6362\u5668\u201d\uff1b\u82e5\u5c40\u9650\u5728\u7ec6\u5206\u9886\u57df\uff0c\u5219\u53ef\u80fd\u662f\u4e00\u6b3e\u4f18\u79c0\u7684\u5782\u7c7b\u5de5\u5177\u3002\u5176\u4ef7\u503c\u4e0d\u5728\u4e8e\u66ff\u4ee3\u6240\u6709\u6570\u636e\u5de5\u4f5c\uff0c\u800c\u5728\u4e8e\u4e3a\u90a3\u4e9b\u62e5\u6709\u4e30\u5bcc\u5386\u53f2\u6570\u636e\u5374\u82e6\u4e8e\u65e0\u6cd5\u201c\u6d88\u5316\u201d\u7684\u4f01\u4e1a\uff0c\u63d0\u4f9b\u4e86\u4e00\u6761\u9ad8\u6548\u7684\u542f\u52a8\u8def\u5f84\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\">Lightning Rod<\/span>\n <\/div>\n<div class=\"comment-content\">Lightning Rod SDK turns real-world data \u2014 like news, filings, or your own documents \u2014 into verified, production-ready training datasets in hours using just a few lines of Python. Skip manual labeling and synthetic guesswork.<\/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! Ben here, founder of Lightning Rod.<\/p>\n<p>We started Lightning Rod because training data is the blocker for most AI projects. Companies have a huge amount of valuable historical data and access to rich public sources, but turning it into something AI can actually learn from is too slow and expensive.<\/p>\n<p>Today we\u2019re launching our training data SDK, which lets you automatically generate LLM-ready training data from raw documents or public sources. We use <strong>real-world sources<\/strong> and <strong><em>outcomes over time<\/em><\/strong> as supervision \u2014 no labeling or annotation required \u26a1<\/p>\n<p>Here\u2019s what you get:<\/p>\n<ul>\n<li>\n<p><strong>Go from idea to dataset, fast.<\/strong> Define your criteria and data source. We collect and label training data for you \u2014 ready in minutes, from just a few queries or examples.<\/p>\n<\/li>\n<li>\n<p><strong>Use your own data or start from public data sources.<\/strong> Generate training data from internal documents like emails, tickets, and logs, or from integrated public data sources.<\/p>\n<\/li>\n<li>\n<p><strong>Provenance in every row.<\/strong> Every record links back to its source, so you can audit what went into your model.<\/p>\n<\/li>\n<li>\n<p><strong>Quality built in.<\/strong> Automated scoring and filtering remove low-confidence examples and outputs that do not follow your instructions.<\/p>\n<\/li>\n<li>\n<p><strong>Turn historical data into training signal.<\/strong> We use real-world outcomes over time to convert your timestamped docs, tickets, logs, and news into grounded supervision automatically.<\/p>\n<\/li>\n<\/ul>\n<p>We\u2019ve already used data generated with this platform to <a href=\"https:\/\/blog.lightningrod.ai\/p\/foresight-32b-beats-frontier-llms-on-live-polymarket-predictions\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">beat frontier models 100x larger<\/a>, and to train domain expert models on everything from <a href=\"https:\/\/arxiv.org\/abs\/2601.19189\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">corporate risk<\/a> to <a href=\"https:\/\/huggingface.co\/LightningRodLabs\/Golf-Forecaster\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">sports predictions<\/a>.<\/p>\n<p>Create your first dataset <strong>free<\/strong> at <a href=\"http:\/\/lightningrod.ai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong>lightningrod.ai<\/strong><\/a>. Use code <strong>ProductHunt50<\/strong> for <strong>$50 in free credits<\/strong>.<\/p>\n<p>Thanks for checking us out \u2014 I\u2019ll be here all day reading and replying. If there\u2019s a dataset or model you\u2019ve wanted to build, drop it in the comments and we\u2019ll help you get started!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>10<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@bturtel\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@bturtel<\/a> Hi Benjamin<\/p>\n<p>Came across Lightning Rod on Product Hunt and then read your piece on building a labeled forecasting dataset from real-world news the no labeling real-world supervision angle really stood out.<\/p>\n<p>It feels like you\u2019re solving a very real bottleneck most AI teams quietly struggle with.<\/p>\n<p>Curious are you seeing more teams shift toward this kind of automated dataset generation now or are they still relying heavily on manual pipelines?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@bturtel\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@bturtel<\/a> the logo looks like the one of the Wallet of Satochi – please consider changing it! ? This might be copyright violation!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\/@bturtel\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@bturtel<\/a> Congrats on the launch Benjamin and team! Good hunt, <a href=\"https:\/\/www.producthunt.com\/@fmerian\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"fmerian\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fmerian<\/a> \ud83d\ude42 <\/p>\n<p>As a marketer, I\u2019m thinking about using this for content datasets. Any examples you have seen in my niche? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats!! Any plans to a no-code interface for non-technical teams? <\/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\/@himani_sah1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@himani_sah1<\/a> Thank you for the support! In addition to the SDK, we also have an AI agent that helps you make datasets. I’m not technical and I use it to make datasets all the time. It’s available here: lightningrod.ai. Give it a try and let us know what you think! It’s super easy 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<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@himani_sah1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@himani_sah1<\/a> Hi Himani, we do have a no-code interface in our dashboard: <a href=\"https:\/\/dashboard.lightningrod.ai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">dashboard.lightningrod.ai<\/a> – you can either chat with an agent to set something up or manually configure a data generation pipeline in the UI. And we will definitely be expanding on that in the near future! <\/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\/@himani_sah1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@himani_sah1<\/a> Yes! We just launched our “Prompt to fine-tune” agent as well to help non-technical users build datasets and fine-tune models without any code. I’d love to hear what you think!<\/p>\n<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/a613f60f-e73d-4765-bb37-ef811cfdcbe4.png?auto=compress&codec=mozjpeg&cs=strip&auto=format\" style=\"max-width: 100%\"><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/eb7c58d8-b1e7-4a73-b59a-620a7dc9b5c1.png?auto=compress&codec=mozjpeg&cs=strip&auto=format\" style=\"max-width: 100%\"><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats team! Question: How do you ensure the generated datasets are actually suitable for fine tuning, given the noise, bias, and duplication often present in public news sources? Do you apply any validation, deduplication, or labeling quality checks, and can users control how the data is structured or filtered for specific domains or tasks?<\/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>@davitausberlin good question!<\/p>\n<p>We know the training data is high-quality because of the results we’ve achieved across a variety of benchmarks and domains. We often beat frontier LLMs much larger (10-100x) by using this to fine-tune small models. Not just evals we designed on our own questions, but often in independent leaderboards. You can see a few wins \/ proof points here: <a href=\"https:\/\/www.lightningrod.ai\/about\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.lightningrod.ai\/about<\/a><\/p>\n<p>On validation: Yes, we have a bunch of quality checks built in, and by default low-confidence answers get dropped automatically. All steps are configurable, and you can also attach LLM-scored filters at the seed and question level with your own rubrics to filter by: <a href=\"https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/labeling-and-context\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/labeling-and-context<\/a><\/p>\n<p>Before training we also run deduplication and other configurable data preparation steps: <a href=\"https:\/\/docs.lightningrod.ai\/python-sdk\/fine-tuning-beta\/data-preparation\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.lightningrod.ai\/python-sdk\/fine-tuning-beta\/data-preparation<\/a><\/p>\n<p>I’d love to hear your feedback if you give it a shot.<\/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\/@davitausberlin\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@davitausberlin<\/a> Great question – We do have a configurable deduplication step in our pipeline before fine-tuning. On our larger training runs we have also generated samples from the GDELT project which is an aggregate database of “events” which are in a sense de-duplicated news articles, and we will select the top events over time to generate forward-looking training samples from. Our pipeline offers a seed generator that uses this same system, which is good for building or evaluating over general forecasting questions. If you are fine-tuning on a specific domain you can also generate seeds from specific news queries or sources. <\/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><strong>Congrats on the launch!<\/strong><br \/>Very relevant problem – everyone talks about models, but high-quality training data is still the real bottleneck.<br \/>Love the emphasis on provenance and production-ready datasets. Strong positioning. Wishing you a great launch today \ud83d\ude4c<\/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\/@mikita_aliaksandrovich\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@mikita_aliaksandrovich<\/a> Thank you for the support, we really appreciate it \ud83d\udc9b<\/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>How does the quality scoring work… Is it model-based or rule-based filtering?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@syed_shayanur_rahman\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@syed_shayanur_rahman<\/a> We support a combination of both. Here is an example of LLM model based scoring: <a href=\"https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/labeling-and-context#filtercriteria\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/labeling-and-context#filtercriteria<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Any benchmarks you can share?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@zerotox\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zerotox<\/a> Thank you for your support! We’ve published some of our research and benchmarks here: <a href=\"https:\/\/www.lightningrod.ai\/about\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.lightningrod.ai\/about<\/a><\/p>\n<p>Here’s a couple of highlights, but let me know if there is something specific you’d like to know more about:<\/p>\n<ul>\n<li>\n<p>We’ve ranked #1 and outperformed GPT-5.2 and Gemini 3 Pro on Prophet Arena Sports, a leaderboard from the University Of Chicago. <\/p>\n<\/li>\n<li>\n<p>We outperformed Gemini 3 Pro, Claude Sonnet 4.5, and o3 on a benchmark by Forecasting Research Institute.<\/p>\n<\/li>\n<li>\n<p>We’ve published research showing how our Future As Label approach can outperform frontier models on accuracy and calibration. <\/p>\n<\/li>\n<\/ul>\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\/@zerotox\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zerotox<\/a> Yes – we have a page with a handful of our wins and published research here: <a href=\"https:\/\/www.lightningrod.ai\/about\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.lightningrod.ai\/about<\/a><\/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\/@zerotox\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zerotox<\/a> Hi Kumar, I will add that we did a test on an earlier model we trained with this data generation technique where we made live predictions for questions on polymarket with our model and a handful of much larger frontier models, wait about a month for most of the questions to resolve, and then see who did better – results here: <a href=\"https:\/\/blog.lightningrod.ai\/p\/foresight-32b-beats-frontier-llms-on-live-polymarket-predictions\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/blog.lightningrod.ai\/p\/foresight-32b-beats-frontier-llms-on-live-polymarket-predictions<\/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>Using real-world outcomes over time as automatic supervision instead of requiring manual labeling is a fundamentally different approach to training data generation \u2014 it means the dataset quality improves with historical depth rather than human annotation effort, which should scale much better for domain-specific fine-tuning. The claim of beating frontier models 100x larger with data generated through this platform is compelling; for teams working with internal documents like support tickets or emails, how does Lightning Rod handle PII in the source material \u2014 is there automated redaction before training data generation, or does that fall on the user?<\/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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> That is a good point! Lightning Rod SDK fits easily into any kind of data processing pipeline so if you did want to redact PII before creating seeds you definitely could. In the Lightning Rod SDK though you can include instructions for how to turn the seed data into questions, and examples. That could include instructions and examples for how to mutate any PII or just what type of questions you want to generate from your data. Of course any data uploaded is secure and scoped to your organization. Let me know if you want to me to walk you through sometime how to configure that! <\/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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> Appreciate the support! In many of the domains we work in, data security and governance are a core requirement. Our system is exposed through APIs and can be deployed directly within your own cloud or environment. So there\u2019s no requirement to move sensitive data outside your infrastructure.<\/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’re doing some ML work on our side for matching and recommendations so this is relevant. Can the SDK work with proprietary data like internal user behavior logs, or is it mainly designed around public sources for now?<\/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\/@ben_gend\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ben_gend<\/a> Yes, a lot of our customers are using proprietary data! You can do this with our filesets feature: <a href=\"https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/filesets\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/filesets<\/a><\/p>\n<p>Let us know if you have any questions, happy to help get you up and running on the platform1<\/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\/@ben_gend\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ben_gend<\/a> 100% – we (unsurprisingly) see the strongest improvements over frontier models when training on proprietary internal data. <\/p>\n<p>If you want to try the SDK, we have some example notebooks for this here <a href=\"https:\/\/github.com\/lightning-rod-labs\/lightningrod-python-sdk\/tree\/main\/notebooks\/custom_filesets\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/github.com\/lightning-rod-labs\/lightningrod-python-sdk\/tree\/main\/notebooks\/custom_filesets<\/a><\/p>\n<\/p>\n<p>Also happy to meet and hear about your use case if we can help you get started!<\/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\/@ben_gend\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ben_gend<\/a> Hi Ben, we definitely support bringing your own data to transform it into training samples or augment it with additional context or labels. There are different ways to approach this. We have an example here for how to create a dataset from your own data (pdfs, csvs, etc) that can be processed further with our pipeline <a href=\"https:\/\/colab.research.google.com\/github\/lightning-rod-labs\/lightningrod-python-sdk\/blob\/main\/notebooks\/getting_started\/02_custom_documents_datasource.ipynb\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">here<\/a>.<\/p>\n<\/p>\n<p>We also support as Gretchen mentioned creating custom “Filesets” which can be used to process those documents by chunking them, or by indexing in a RAG database and generating specific types of questions that way. This is how we trained our <a href=\"https:\/\/arxiv.org\/abs\/2601.19189\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">SEC model<\/a> for example. <\/p>\n<\/p>\n<p>If you do want to do an experiment with custom data I’d definitely encourage finding time to chat more about your use case. <\/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>Generate training data? What does it mean? Congrats on the launch, <a href=\"https:\/\/www.producthunt.com\/@bturtel\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"bturtel\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@bturtel<\/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><a href=\"https:\/\/www.producthunt.com\/@neilverma\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@neilverma<\/a> Thank you for the support! If you want to fine tune a model you need data, and the quality of that data matters a lot for your final results. Our SDK is designed primarily to generate high-quality training data either from your own documents or just from news or other public data sources, to train models that make more accurate and well calibrated predictions. We have shown this can apply to a wide variety of domains. But it is a flexible system that can also be used for things like evaluation, classification, SFT, even lead generation. I think of it like a cookbook for taking in any kind of raw data, and turning it into the format you need, quickly and at scale. Let us know if you want to chat through how this can be applied to your use case!<\/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\/@neilverma\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@neilverma<\/a> ! <br \/>We turn raw enterprise documents and public sources into verified training dataset, so companies can fine-tune useful models without hand-labeling. We basically use real-world outcomes as supervision instead of asking teams to label everything by hand.<\/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\/@neilverma\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@neilverma<\/a> Thank you for supporting our launch, it means a lot \ud83d\udc9b<\/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>What ways could I validate that the training data is actually improving downstream model performance?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@lienchueh\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"lienchueh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lienchueh<\/a> Good question! <\/p>\n<p>The SDK has a built-in evaluation module so you can measure improvement over your base model directly on held-out test sets: <a href=\"https:\/\/docs.lightningrod.ai\/python-sdk\/fine-tuning-beta\/evaluation\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.lightningrod.ai\/python-sdk\/fine-tuning-beta\/evaluation<\/a><\/p>\n<p>You can also run rollouts against frontier LLMs on the same questions and score everything against ground truth (Brier score, calibration error, etc.): <a href=\"https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/rollouts-and-scoring\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.lightningrod.ai\/python-sdk\/dataset-generation\/rollouts-and-scoring<\/a><\/p>\n<p>Examples of how we’ve done this in our notebooks (<a href=\"https:\/\/docs.lightningrod.ai\/python-sdk\/getting-started\/examples\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.lightningrod.ai\/python-sdk\/getting-started\/examples<\/a>) and research papers (<a href=\"https:\/\/www.lightningrod.ai\/about\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.lightningrod.ai\/about<\/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>Very interesting concept. Getting training data for my AI Project 8 years ago for my capstone was a huge bottleneck. Using data that already exists and vetted to some degree democratizes training and building. I’m excited to give this a test!<\/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\/@calvin_lim_1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@calvin_lim_1<\/a> Thank you for your support \ud83d\udc9b Curious, what was your capstone project about?<\/p>\n<p>We can’t wait to hear how your test goes. Let us know if you have any questions!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>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>Turning real-world data into clean, production-ready training datasets without manual labeling could remove one of the biggest bottlenecks in AI development. How do you ensure the generated datasets stay high-quality and unbiased when pulling from noisy real-world sources? Congrats on the launch, by the way! \ud83e\udd73\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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@thegreatphon\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@thegreatphon<\/a> Hi Phon, thanks for the support! <\/p>\n<\/p>\n<p>One way we avoid bias and ensure generated samples are valuable in training is to separate the information available in the question generation and label generation step. For forward-looking questions, when the question is generated the agent only has access to information up to the date of the seed the question is generated from. When the label is generated, the resolving agent has not such restriction. Some of the questions that are generated might not be able to be resolved, but the ones that are resolved were generated without bias that would have been introduced by knowledge about the future. This data generation technique scales well, and combined with RL produces agents that are able to make accurate and well calibrated predictions about future outcomes, whether that is for general forecasting or for a specific domain or 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<\/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\/TEPZ3A4GHBSZGY\" class=\"app-title\">Kira 4.0 <\/a><\/p>\n<div class=\"one-liner\">Turn your friends into shareable content<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">282<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Kira 4.0\u662f\u4e00\u6b3e\u6d4f\u89c8\u5668\u5185\u7684\u96f6\u95e8\u69dbAI\u521b\u610f\u5de5\u5177\uff0c\u901a\u8fc7\u5c06\u56fe\u7247\u3001\u89c6\u9891\u3001\u97f3\u4e50\u751f\u6210\u6574\u5408\u4e8e\u4e00\u4e2a\u7b80\u5355\u6d41\u7a0b\uff0c\u8ba9\u7528\u6237\u80fd\u5feb\u901f\u5c06\u670b\u53cb\u7684\u7167\u7247\u5236\u4f5c\u6210\u6076\u641e\u6216\u6709\u8da3\u7684\u52a8\u6001\u5185\u5bb9\uff0c\u89e3\u51b3\u4e86\u666e\u901a\u4eba\u5728\u793e\u4ea4\u5a31\u4e50\u4e2d\u7f3a\u4e4f\u4fbf\u6377\u3001\u6709\u8da3\u7684\u5185\u5bb9\u521b\u4f5c\u5de5\u5177\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\/dc0ac12b-169b-40c0-b5b2-62fda6ff8baf.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\/d551a548-fae9-4387-a5dd-b3443d695a46.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\/b5082328-d84c-4c68-accc-c440762837b3.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\/71703e1e-57b0-4848-bf64-58fb71cec212.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\/bd5ebdfa-1c2b-4666-a1de-01ac753702ea.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\/e8c85371-9b9b-4e06-ae17-d6d34fa02643.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/b-Ux04kWBk0?si=ZgX2qWIDo9dJLvRk\"><source src=\"https:\/\/youtu.be\/b-Ux04kWBk0?si=ZgX2qWIDo9dJLvRk\" 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\">Social Media<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u521b\u610f\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u793e\u4ea4\u5a31\u4e50<\/span><br \/>\n <span class=\"tag\">\u96f6\u95e8\u69db\u521b\u4f5c<\/span><br \/>\n <span class=\"tag\">\u6d4f\u89c8\u5668\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u89c6\u9891\u751f\u6210<\/span><br \/>\n <span class=\"tag\">AI\u97f3\u4e50<\/span><br \/>\n <span class=\"tag\">\u56fe\u7247\u7f16\u8f91<\/span><br \/>\n <span class=\"tag\">\u75c5\u6bd2\u5f0f\u4f20\u64ad<\/span><br \/>\n <span class=\"tag\">\u670b\u53cb\u6076\u641e<\/span><br \/>\n <span class=\"tag\">\u5373\u65f6\u5206\u4eab<\/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\u201c\u96f6\u95e8\u69db\u201d\u548c\u201c\u75c5\u6bd2\u5f0f\u201d\u5206\u4eab\u7406\u5ff5\u3002\u4e3b\u8981\u95ee\u9898\u4e0e\u5efa\u8bae\u96c6\u4e2d\u5728\uff1a\u89c6\u9891\u4e0e\u97f3\u4e50\u80fd\u5426\u81ea\u52a8\u540c\u6b65\uff1b\u662f\u5426\u652f\u6301\u76f4\u63a5\u5206\u4eab\u81f3TikTok\u7b49\u5e73\u53f0\uff1b\u5982\u4f55\u9632\u6b62AI\u6ee5\u7528\uff08\u6c34\u5370\u653f\u7b56\uff09\uff1b\u514d\u8d39\u8bd5\u7528\u989d\u5ea6\u53ca\u4ed8\u8d39\u5899\uff1b\u4ee5\u53ca\u672a\u6765\u662f\u5426\u652f\u6301\u591a\u56fe\u8f93\u5165\u3001\u534f\u4f5c\u529f\u80fd\u548c\u793e\u4ea4\u5a92\u4f53\u5185\u5bb9\u5bfc\u5165\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 Kira 4.0\u7684\u91ce\u5fc3\u4e0d\u5728\u4e8e\u6280\u672f\u98a0\u8986\uff0c\u800c\u5728\u4e8e\u5bf9\u201c\u521b\u4f5c\u6c11\u4e3b\u5316\u201d\u8fdb\u884c\u4e00\u6b21\u6781\u81f4\u7684\u573a\u666f\u538b\u7f29\u3002\u5b83\u5c06AI\u56fe\u50cf\u3001\u89c6\u9891\u3001\u97f3\u4e50\u4e09\u5927\u751f\u6210\u80fd\u529b\u7c97\u66b4\u5730\u585e\u8fdb\u4e00\u4e2a\u201c\u4e3a\u670b\u53cb\u5236\u9020\u4e50\u5b50\u201d\u7684\u5355\u4e00\u573a\u666f\uff0c\u5176\u771f\u6b63\u7684\u4ef7\u503c\u662f\u6784\u5efa\u4e86\u4e00\u4e2a\u6781\u77ed\u7684\u201c\u611f\u77e5-\u521b\u4f5c-\u5206\u4eab\u201d\u95ed\u73af\u3002\u6807\u8bed\u201c\u5c06\u670b\u53cb\u53d8\u6210\u53ef\u5206\u4eab\u7684\u5185\u5bb9\u201d\u7cbe\u51c6\u523a\u4e2d\u4e86\u793e\u4ea4\u5a92\u4f53\u7684\u539f\u59cb\u9a71\u52a8\u529b\uff1a\u4eba\u9645\u4e92\u52a8\u4e0e\u8eab\u4efd\u8868\u6f14\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u806a\u660e\u5730\u56de\u907f\u4e86\u4e0e\u4e13\u4e1a\u5de5\u5177\u5728\u8d28\u91cf\u4e0a\u7684\u7ade\u4e89\uff0c\u8f6c\u800c\u8ffd\u6c42\u201c\u901f\u5ea6\u201d\u4e0e\u201c\u60c5\u7eea\u4ef7\u503c\u201d\u3002\u65e0\u9700\u63d0\u793a\u8bcd\u3001\u5168\u6d4f\u89c8\u5668\u64cd\u4f5c\uff0c\u672c\u8d28\u662f\u5c06\u590d\u6742\u7684AIGC\u5de5\u7a0b\u62bd\u8c61\u4e3a\u4e00\u79cd\u793e\u4ea4\u624b\u52bf\uff0c\u5982\u540c\u4e00\u4e2a\u6570\u5b57\u65f6\u4ee3\u7684\u201c\u6076\u4f5c\u5267\u73a9\u5177\u201d\u3002\u7136\u800c\uff0c\u8fd9\u79cd\u5b9a\u4f4d\u4e5f\u6697\u85cf\u98ce\u9669\u3002\u5176\u4e00\uff0c\u5a31\u4e50\u6027\u9700\u6c42\u6613\u75b2\u52b3\uff0c\u7528\u6237\u65b0\u9c9c\u611f\u8fc7\u540e\uff0c\u7559\u5b58\u4e0e\u91cd\u590d\u4f7f\u7528\u53ef\u80fd\u6210\u4e3a\u95ee\u9898\uff0c\u9664\u975e\u80fd\u4e0d\u65ad\u5b75\u5316\u51fa\u65b0\u7684\u75c5\u6bd2\u6a21\u56e0\u3002\u5176\u4e8c\uff0c\u4f26\u7406\u7ea2\u7ebf\u6a21\u7cca\u3002\u5c3d\u7ba1\u56e2\u961f\u4ee5\u9ed8\u8ba4\u6c34\u5370\u548c\u7528\u6237\u653f\u7b56\u56de\u5e94\uff0c\u4f46\u201c\u4e3a\u670b\u53cb\u5236\u9020\u5185\u5bb9\u201d\u7684\u6a21\u7cca\u8fb9\u754c\u6781\u6613\u6ed1\u5411\u6ee5\u7528\uff0c\u5c24\u5176\u662f\u76ee\u6807\u7528\u6237\u5305\u542b\u9752\u5c11\u5e74\u65f6\u3002\u4ed8\u8d39\u53bb\u6c34\u5370\u529f\u80fd\u66f4\u662f\u4e00\u628a\u53cc\u5203\u5251\uff0c\u5728\u63d0\u5347\u6536\u5165\u7684\u540c\u65f6\u53ef\u80fd\u653e\u5927\u76d1\u7ba1\u98ce\u9669\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ece\u8bc4\u8bba\u770b\uff0c\u7528\u6237\u5df2\u4e0d\u6ee1\u8db3\u4e8e\u5355\u70b9\u70ab\u6280\uff0c\u5f00\u59cb\u671f\u5f85\u89c6\u9891\u4e0e\u97f3\u4e50\u7684\u667a\u80fd\u540c\u6b65\u3001\u591a\u56fe\u8fde\u8d2f\u6027\u7b49\u66f4\u6df1\u5ea6\u7684\u521b\u4f5c\u80fd\u529b\u3002\u8fd9\u9884\u793a\u7740\uff0c\u82e5\u60f3\u4ece\u201c\u8da3\u5473\u73a9\u5177\u201d\u6210\u957f\u4e3a\u53ef\u6301\u7eed\u7684\u201c\u521b\u610f\u5e73\u53f0\u201d\uff0cKira\u5fc5\u987b\u5728\u964d\u4f4e\u95e8\u69db\u4e0e\u63d0\u4f9b\u6df1\u5ea6\u4e4b\u95f4\u627e\u5230\u65b0\u7684\u5e73\u8861\u3002\u5176\u6210\u8d25\u5173\u952e\uff0c\u6216\u8bb8\u4e0d\u5728\u4e8eAI\u751f\u6210\u4e86\u4ec0\u4e48\uff0c\u800c\u5728\u4e8e\u5b83\u80fd\u5426\u8ba9\u7528\u6237\u611f\u89c9\u81ea\u5df1\u662f\u4e00\u4e2a\u6709\u8da3\u7684\u7075\u9b42\uff0c\u800c\u975e\u4ec5\u4ec5\u662f\u4e00\u4e2a\u6309\u94ae\u7684\u70b9\u51fb\u8005\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\">Kira 4.0 <\/span>\n <\/div>\n<div class=\"comment-content\">Kira 4.0 brings video and music into the same creative flow as our image editor. Animate a friend’s photo, drop an AI soundtrack, change their hairstyle before anyone notices. No prompts, no downloads, no experience needed. Just pick something, make it, and share the joy.<\/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 I’m Owen, one of the makers behind Kira.<\/p>\n<p>Kira started as an AI photo editor. People used it to prank their friends, give them Ghibli makeovers, swap their backgrounds into ridiculous places. The sharing energy was exactly what we hoped for.<\/p>\n<p>With 4.0 we asked what else deserves that same treatment. Turns out, a lot.<\/p>\n<p>– \ud83c\udfa5 Video Generator: Now your friends don’t just get a weird photo. They get a weird video. Upload their picture, watch them move, send it before they see it coming.<br \/>\n– \ud83c\udfb5 Music Generator: Describe a vibe and get an original track. Drop a diss track on your BFF or make a birthday anthem. AI writes it, you take the credit.<br \/>\n– \ud83d\uddbc\ufe0f Image Generator: New filters, crop, and manual adjustments on top of our existing tools. More ways to prank, more ways to make it perfect before you share.<\/p>\n<p>No skills needed. If you can tap a screen, you can use Kira. Everything runs in your browser, open it and you’re already playing.<\/p>\n<p>Try it, make something for your friends, and drop it in the comments. We want to see what you send\u2728<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@owenlongbo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@owenlongbo<\/a> Love the approach, Owen! Turning friends into content is a clever viral loop, and making it instantly playable with no skills needed is smart. Curious to see which part \u2014 video, music, or image \u2014 will drive most engagement over time. Excited to watch this evolve \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><a href=\"https:\/\/www.producthunt.com\/@owenlongbo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@owenlongbo<\/a> This is a fun upgrade. Video + music generation on top of Kira’s original photo magic makes it way more sharable. <\/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\/@owenlongbo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@owenlongbo<\/a> “The chat\u2011based approach to image creation is what caught my attention. Not having to learn prompt engineering or deal with layers and masks makes this way more accessible than most AI art tools out there. And combining image, video, and music generation in one platform is bold most tools only do one of these well. The viral templates like the Disney avatar and GTA style are smart for social media creators who need quick, shareable content. Congrats on the launch!<\/p>\n<p>Quick question: do you plan to add a collaborative mode where multiple users can work on the same project through the chat interface? That could be huge for small creative teams.”<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Expanding from a photo editor into video and music generation while keeping everything browser-based with zero downloads creates a powerful share-first creative loop \u2014 the fact that someone can upload a friend’s photo, animate it, add an AI soundtrack, and share it without ever leaving the browser removes every friction point that usually kills viral content creation. The music generator is an interesting addition to what started as a visual tool; how tightly integrated is the audio with the video output \u2014 can users sync generated music to specific moments in the animated clip, or are they independent outputs that get combined manually?<\/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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> Thanks for the kind words! Right now, video and music are separate outputs; you’d need to put them together yourself. Syncing them automatically is definitely on our mind, though. Great suggestion. 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>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\/@owenlongbo\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"owenlongbo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@owenlongbo<\/a> looks fun! Can I import my IG stories with friends and start from those?<\/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\/@massimoalbarello\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@massimoalbarello<\/a> Thanks for supporting! Love that idea, not yet, but very soon \ud83d\udc40<\/p>\n<p>Right now, users can upload frames\/screenshots to start.<\/p>\n<p>We\u2019re actively working on <strong>video-to-video<\/strong>, so importing clips like IG stories will be much smoother soon.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">Congrats on the launch! Good luck!!<\/div>\n<div class=\"comment-actions\">\n<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\/@ninaaaa0913\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ninaaaa0913<\/a> Many thanks for your support!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>For ordinary people with no creative experience at all, what are the criteria you have internally set for determining a “successful work”? Is it perfect picture quality, or something like “fun and shareable”?<\/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\/@yu_zhou8\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@yu_zhou8<\/a> Great question, for us, it\u2019s about fun and shareable, not perfect quality.<\/p>\n<p>If users want to send it to friends or post it, it\u2019s a win \ud83d\udc4d<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>It sounds like a really interesting and fun idea for having a laugh with friends. The question is, do you label the video\/text\/photo in any way to indicate that it was created using AI? Because, while it\u2019s a great tool, it can often be used improperly. Teenagers in particular can use this in a truly cruel way towards their peers.<\/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\/@michal_kukul\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@michal_kukul<\/a> That’s a really important point and we appreciate you raising it. All content created with Kira has our watermark on it by default. Paid users can remove the watermark, but our policy clearly states that all content must be used responsibly and properly. We built Kira for lighthearted fun between friends, and we don’t condone any form of misuse. It’s something we take seriously and will keep improving on.<\/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\/@michal_kukul\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@michal_kukul<\/a> Micha\u0142 raised a really important point and I’m glad the team takes it seriously. Tools like this are genuinely fun, but once the watermark is removed it gets a lot harder to know how the content is being used. Especially with younger users, that part is worth thinking about.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 it with the testing of the tool? Do I need to pay directly? Because I uploaded the image, it started generating something. I waited, and then the pop-up window appeared with the pricing list. In other words: Is there any testing option?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@busmark_w_nika\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@busmark_w_nika<\/a> Good question! You get 30 free credits when you sign up, and each image edit only costs 5 credits, so you can try it about 6 times for free. The video feature is currently only available for Pro and Max users since the compute costs are pretty high on that one. Maybe that’s what you ran into? Try the image editing features first and see how you like it!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Made a cute OpenClaw logo, congrats on the launch.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/daf690ca-6593-418b-ac2b-d89b6e7ffd5f.png?auto=compress&codec=mozjpeg&cs=strip&auto=format\" style=\"max-width: 100%\"><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@0xinhua\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@0xinhua<\/a>That\u2019s awesome! really appreciate it! \ud83d\ude4c<\/p>\n<p>So glad you tried it and shared it with us.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 and creative product<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@tiange_ling\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@tiange_ling<\/a> Thank you! We wanted to make something that’s just fun to play with, hope you enjoy creating with it!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch. Such a fun product. Being able to go from a static photo to an animated video with an AI soundtrack brings such a creative flow. Does Kira 4.0 support direct sharing to TikTok or Reels, or is it a download and post situation ?<\/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\/@aya_vlasoff\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@aya_vlasoff<\/a> Thank you! That’s exactly the vibe we were going for. Right now it’s download or share via link, but TikTok and Reels integration is on our radar for sure. Appreciate the suggestion!<\/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>A great AI photo editor! It’s so much fun!<\/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\/@sylvunny\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@sylvunny<\/a> Thanks so much! Really glad you’re having fun with it. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Turning creative tools into a simple conversation instead of complex prompts or layers feels like a big shift for making art more accessible. What helped you get the most consistent style results from just natural language inputs? \ud83c\udfa8\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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>For the video generator, is it better to upload multiple photos of the same person to improve the video quality? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@lienchueh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lienchueh<\/a> Great question! Right now we mainly support using a <strong>single first-frame image<\/strong>.<\/p>\n<p>Multi-image identity consistency is something we\u2019re actively working on and improving \ud83d\udc40<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the launch!! I tried it out, and the navigation and ease of use are really impressive. I tested the image enhancement\/generation and the results were great. Unfortunately, AI still has trouble with text. But overall, it’s really good! I’ll try it out more and write a more detailed review<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is a fun one. Turning friends into shareable content is a smart loop, and removing the skill barrier makes it the kind of thing someone opens, uses immediately, and sends without thinking. That’s hard to engineer.<\/p>\n<\/p>\n<p>One messaging thought: showing what people actually send each other could do more work than describing what the tool does. The output is the hook, not the feature.<\/p>\n<\/p>\n<p>Curious whether any specific use cases are driving repeat usage yet. I spend a lot of time helping SaaS teams figure out what makes their early users come back, so I’m always interested in where that first habit forms.<\/p>\n<\/p>\n<p>Excited to see where this goes.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>A fun way to mess with your friends :-), love the 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>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\/@henry_habib\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@henry_habib<\/a> Many thanks for the support!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>How does this compare with existing option on the market if any? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">Friends as content is a vibe but does it get awkward? Like who controls how they are portrayed?<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Kira is the best photo pair maker I’ve ever used.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@firevvork_2003\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@firevvork_2003<\/a> Wow that means a lot, 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>Huge congrats on the launch! The ‘edit by talking’ feature is a brilliant idea. Prompt engineering can be so frustrating, so making it conversational is super refreshing.<\/p>\n<p>Quick question: How well does Kira maintain the style consistency if I make multiple voice edits to the same image?<\/p>\n<p>Wishing you a massive launch day! (I’m also launching my AI bot today, so I totally feel the launch day energy! Rooting for you!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@khachatur_kurghinyan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@khachatur_kurghinyan<\/a> Thank you so much and congrats on your launch too! Would love to check it out. <br \/>To answer the queation. Kira actually remembers your previous edits, so when you make another edit it builds on what you’ve already done instead of starting from scratch. The style stays consistent because it knows the context of what you’ve been working on. Try stacking a few edits and you’ll see what I mean!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">#4<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/WINYE5XLSNP2L5\" class=\"app-title\">Codex Subagents<\/a><\/p>\n<div class=\"one-liner\">Parallel custom agents for complex tasks<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">267<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Codex Subagents\u901a\u8fc7\u652f\u6301\u5e76\u884c\u81ea\u5b9a\u4e49\u5b50\u4ee3\u7406\uff0c\u5728\u590d\u6742\u7f16\u7801\u4efb\u52a1\uff08\u5982\u591a\u6b65\u9aa4\u529f\u80fd\u5f00\u53d1\u3001PR\u5ba1\u67e5\uff09\u4e2d\u89e3\u51b3\u4e86\u56e0\u4e0a\u4e0b\u6587\u6df7\u4e71\u548c\u4e32\u884c\u5904\u7406\u5bfc\u81f4\u7684\u6548\u7387\u4f4e\u4e0b\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\/ec8b3467-3b84-4730-850c-7bb8d5abd22b.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\/c5659d87-b5da-4a06-b04c-8ef216eb0cdf.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\/4d9be28b-1590-46c7-82d9-173975e26369.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\/d30e725e-c2c1-46ca-8b4d-7c32428e5cb3.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\/f549ef7f-8952-443e-be60-259fb0276161.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=WHqOSEtYCJg\"><source src=\"https:\/\/www.youtube.com\/watch?v=WHqOSEtYCJg\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Development<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u7f16\u7a0b\u52a9\u624b<\/span><br \/>\n <span class=\"tag\">\u5e76\u884c\u8ba1\u7b97<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u4ee3\u7406<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7801\u5f00\u53d1<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u4e0a\u4e0b\u6587\u9694\u79bb<\/span><br \/>\n <span class=\"tag\">TOML\u914d\u7f6e<\/span><br \/>\n <span class=\"tag\">\u591a\u4efb\u52a1\u5904\u7406<\/span><br \/>\n <span class=\"tag\">\u8f6f\u4ef6\u5f00\u53d1\u6548\u7387<\/span><br \/>\n <span class=\"tag\">\u56e2\u961f\u534f\u4f5c\u6a21\u62df<\/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\u4e3a\u529f\u80fd\u5f3a\u5927\u4e14\u65b9\u5411\u6b63\u786e\uff0c\u80fd\u663e\u8457\u63d0\u5347\u590d\u6742\u4efb\u52a1\u5904\u7406\u901f\u5ea6\u3002\u4e3b\u8981\u95ee\u9898\u96c6\u4e2d\u5728\uff1a\u5b50\u4ee3\u7406\u95f4\u51b2\u7a81\u534f\u8c03\u673a\u5236\u3001\u4e0e\u73b0\u6709\u63d2\u4ef6\u517c\u5bb9\u6027\uff0c\u4ee5\u53ca\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u7684\u6280\u672f\u6311\u6218\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 Codex Subagents\u8868\u9762\u4e0a\u662f\u201c\u5e76\u884c\u4ee3\u7406\u201d\u7684\u6280\u672f\u8fed\u4ee3\uff0c\u5b9e\u5219\u662f\u5bf9AI\u7f16\u7a0b\u52a9\u624b\u672c\u8d28\u56f0\u5883\u7684\u4e00\u6b21\u5916\u79d1\u624b\u672f\u5f0f\u6253\u51fb\u3002\u5176\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u7b80\u5355\u7684\u201c\u591a\u5f00\u201d\uff0c\u800c\u5728\u4e8e\u7528**\u67b6\u6784\u601d\u7ef4**\u91cd\u6784\u4e86AI\u4e0e\u590d\u6742\u95ee\u9898\u7684\u4ea4\u4e92\u8303\u5f0f\u2014\u2014\u5c06\u4f20\u7edf\u957f\u4e0a\u4e0b\u6587\u63d0\u793a\u8bcd\u7684\u201c\u4e00\u9505\u7096\u201d\u6a21\u5f0f\uff0c\u89e3\u8026\u4e3a\u89d2\u8272\u9694\u79bb\u3001\u5de5\u5177\u4e13\u7cbe\u7684\u5fae\u670d\u52a1\u5316\u67b6\u6784\u3002\n <\/p>\n<p class=\"ai-content\">\n \u8fd9\u6233\u4e2d\u4e86\u5f53\u524dAI\u7f16\u7801\u7684\u6838\u5fc3\u77db\u76fe\uff1a\u6a21\u578b\u80fd\u529b\u8d8a\u5f3a\uff0c\u8bd5\u56fe\u5728\u5355\u4e00\u4f1a\u8bdd\u4e2d\u5806\u53e0\u7684\u9700\u6c42\u5c31\u8d8a\u590d\u6742\uff0c\u5bfc\u81f4\u201c\u4e0a\u4e0b\u6587\u8150\u5316\u201d\u6210\u4e3a\u6027\u80fd\u9ed1\u6d1e\u3002Subagents\u7684TOML\u81ea\u5b9a\u4e49\u4e0e\u89d2\u8272\u9694\u79bb\uff0c\u672c\u8d28\u662f\u5f15\u5165\u4e86**\u8f7b\u91cf\u7ea7\u7f16\u6392\u5c42**\uff0c\u8ba9AI\u4ece\u201c\u4e07\u80fd\u5355\u5175\u201d\u8f6c\u5411\u201c\u53ef\u7f16\u6392\u7684\u7279\u79cd\u5c0f\u961f\u201d\u3002\u8fd9\u79cd\u601d\u8def\u8df3\u51fa\u4e86\u5355\u7eaf\u8ffd\u6c42\u6a21\u578b\u53c2\u6570\u7684\u519b\u5907\u7ade\u8d5b\uff0c\u8f6c\u5411\u5de5\u4f5c\u6d41\u667a\u80fd\u7684\u964d\u7ef4\u6253\u51fb\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u7280\u5229\u4e4b\u5904\u4ea6\u85cf\u9690\u5fe7\u3002\u5176\u4e00\uff0c\u5e76\u884c\u4ee3\u7406\u7684\u201c\u5408\u5e76\u51b2\u7a81\u201d\u95ee\u9898\u82e5\u4ec5\u9760\u540e\u671f\u7b80\u5355\u5408\u5e76\uff0c\u53ef\u80fd\u6ca6\u4e3a\u9ad8\u7ea7\u7248\u7684\u201c\u590d\u5236\u7c98\u8d34\u6df7\u4e71\u201d\uff1b\u771f\u6b63\u7684\u5de5\u7a0b\u4ef7\u503c\u9700\u4f9d\u8d56\u51b2\u7a81\u68c0\u6d4b\u4e0e\u667a\u80fd\u51b3\u8bae\u673a\u5236\uff0c\u76ee\u524d\u4fe1\u606f\u672a\u660e\u3002\u5176\u4e8c\uff0c\u6b64\u529f\u80fd\u5c06\u590d\u6742\u6027\u4ece\u63d0\u793a\u8bcd\u5de5\u7a0b\u8f6c\u79fb\u81f3\u4ee3\u7406\u67b6\u6784\u8bbe\u8ba1\uff0c\u5bf9\u7528\u6237\u7684\u62bd\u8c61\u80fd\u529b\u63d0\u51fa\u66f4\u9ad8\u8981\u6c42\uff0c\u53ef\u80fd\u5f62\u6210\u65b0\u7684\u4f7f\u7528\u95e8\u69db\u3002\u5176\u4e09\uff0c\u5b83\u76f4\u63a5\u5bf9\u6807Claude Code\u7b49\u7ade\u54c1\uff0c\u4f46\u66f4\u50cf\u662f\u5bf9\u4f20\u7edfCI\/CD\u6d41\u6c34\u7ebf\u4e2d\u201c\u4eba\u5de5\u73af\u8282\u201d\u7684\u8fdb\u4e00\u6b65\u4fb5\u8680\uff0c\u5176\u957f\u671f\u51b2\u51fb\u53ef\u80fd\u6307\u5411\u5f00\u53d1\u6d41\u7a0b\u7684\u66f4\u6df1\u5c42\u91cd\u6784\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u4f53\u800c\u8a00\uff0c\u8fd9\u662f\u4e00\u4e2a\u6218\u7565\u610f\u4e49\u5927\u4e8e\u529f\u80fd\u66f4\u65b0\u7684\u52a8\u4f5c\u3002\u5b83\u6807\u5fd7\u7740AI\u7f16\u7a0b\u6b63\u4ece\u201c\u8f85\u52a9\u7f16\u7801\u201d\u8fc8\u5411\u201c\u534f\u8c03\u7f16\u7801\u8fc7\u7a0b\u201d\uff0c\u4f46\u80fd\u5426\u771f\u6b63\u6a21\u62df\u51fa\u5de5\u7a0b\u56e2\u961f\u7684\u5e76\u53d1\u667a\u6167\uff0c\u800c\u975e\u5236\u9020\u51fa\u5e76\u53d1\u7684\u6df7\u4e71\uff0c\u5c06\u53d6\u51b3\u4e8e\u5176\u51b2\u7a81\u6cbb\u7406\u4e0e\u7f16\u6392\u903b\u8f91\u7684\u6210\u719f\u5ea6\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\">Codex Subagents<\/span>\n <\/div>\n<div class=\"comment-content\">Codex now supports subagents, allowing you to spawn specialized, parallel AI workers for complex coding tasks. By defining custom TOML agents with isolated roles (like explorers and reviewers), you can execute multi-step workflows without context rot.<\/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>Codex just leveled up with Subagents \u2014 you can now spawn specialized parallel agents for complex tasks like PR review or multi-step features. Each subagent gets its own instructions, model, and tools, and Codex merges everything back cleanly.<\/p>\n<p>Over the last week <em>I used Codex to design, debug, and do embedded work for a new device prototype<\/em>, and the speed honestly shocked me. This feature makes that whole experience feel even more serious. Now I can have one agent map, one review, and one check docs, and the main thread stays much cleaner instead of drowning in logs and side quests.<\/p>\n<p>It really feels like OpenAI is <a href=\"https:\/\/www.wsj.com\/tech\/ai\/openai-chatgpt-side-projects-16b3a825\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">going all in<\/a> on the coding lane right now. This puts some real pressure on <a href=\"https:\/\/www.producthunt.com\/products\/claude-code\" target=\"_blank\" rel=\"noopener\">@Claude Code<\/a>. And Goolgle, <a href=\"https:\/\/www.producthunt.com\/products\/google-antigravity\" target=\"_blank\" rel=\"noopener\">@Google Antigravity<\/a> alone probably is not enough \ud83d\ude42<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@zaczuo\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@zaczuo<\/a> The idea seems great! What was the most challenging part of building it?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>This is very cool<\/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>Gonna try this out. Codex 5.4 is already awesome and this seems like a way to supercharge it. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>So how do plugins like compound engineering work going forward?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The concept looks solid.<\/p>\n<p>What was the hardest part of building it?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Spawning specialized parallel agents for complex coding tasks is the right evolution for Codex \u2014 splitting a large problem into concurrent subagents that each handle a focused piece mirrors how experienced engineering teams actually decompose work, and doing it in parallel rather than sequentially should dramatically cut time-to-completion on multi-file refactors and complex feature builds. How do subagents coordinate when their changes overlap \u2014 is there a central orchestrator that detects conflicting edits across parallel workers, or do they operate on isolated branches that get merged at the end?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\/NMQNUJDUXGJFXY\" class=\"app-title\">mTarsier<\/a><\/p>\n<div class=\"one-liner\">Open-source platform for managing MCP servers and clients<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">194<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>mTarsier\u662f\u4e00\u6b3e\u5f00\u6e90\u684c\u9762\u5e94\u7528\uff0c\u901a\u8fc7\u81ea\u52a8\u68c0\u6d4b\u5e76\u7edf\u4e00\u7ba1\u7406\u591a\u4e2aAI\u5ba2\u6237\u7aef\uff08\u5982Claude Desktop\u3001Cursor\uff09\u7684MCP\u670d\u52a1\u5668\u914d\u7f6e\uff0c\u89e3\u51b3\u4e86\u5f00\u53d1\u8005\u9700\u624b\u52a8\u7f16\u8f91\u5206\u6563\u7684JSON\u914d\u7f6e\u6587\u4ef6\u3001\u914d\u7f6e\u6d41\u7a0b\u7e41\u7410\u6613\u9519\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\/c784168d-c59a-432a-8412-4fcbb7870a52.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\/33a8a9ba-bb1f-4f48-92eb-f0661a15d426.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\/fa37e8be-e8d3-4172-80d2-3481141668ca.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\/4b9bd2a7-c27f-4250-be5a-70d68225cb36.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\/e8e7fb87-4d10-4bbf-b955-cc8e64cc41c4.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/69H-EcU0Z6w\"><source src=\"https:\/\/youtu.be\/69H-EcU0Z6w\" 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\u7ba1\u7406\u5e73\u53f0<\/span><br \/>\n <span class=\"tag\">AI\u5de5\u5177\u96c6\u6210<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90\u684c\u9762\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u914d\u7f6e\u540c\u6b65<\/span><br \/>\n <span class=\"tag\">\u6a21\u578b\u4e0a\u4e0b\u6587\u534f\u8bae<\/span><br \/>\n <span class=\"tag\">\u8de8\u5e73\u53f0<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6d41\u6807\u51c6\u5316<\/span><br \/>\n <span class=\"tag\">\u5ba2\u6237\u7aef\u7ba1\u7406<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u9ad8\u5ea6\u8ba4\u53ef\u5176\u7edf\u4e00\u7ba1\u7406\u3001\u81ea\u52a8\u68c0\u6d4b\u548c\u4e00\u952e\u914d\u7f6e\u7684\u6838\u5fc3\u4ef7\u503c\uff0c\u5e76\u63d0\u51fa\u4e86\u5177\u4f53\u95ee\u9898\uff1a\u591a\u5ba2\u6237\u7aef\u540c\u6b65\u65f6\u7684\u51b2\u7a81\u89e3\u51b3\u673a\u5236\u3001AI\u4ee3\u7406\u81ea\u4e3b\u5b89\u88c5\u7684\u5b89\u5168\u8fb9\u754c\u3001\u6309\u4f9b\u5e94\u5546\u7684\u8ba4\u8bc1\u914d\u7f6e\u652f\u6301\u3001\u56e2\u961f\u6743\u9650\u7ba1\u7406\uff0c\u4ee5\u53ca\u5e73\u53f0\u96c6\u6210\u4f18\u5148\u7ea7\u548c\u4fe1\u4efb\u5b89\u5168\u7b49\u5e95\u5c42\u8003\u91cf\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 mTarsier\u7684\u51fa\u73b0\uff0c\u7cbe\u51c6\u523a\u4e2d\u4e86MCP\u534f\u8bae\u751f\u6001\u7206\u53d1\u540e\u884d\u751f\u7684\u201c\u5de5\u5177\u94fe\u771f\u7a7a\u201d\u3002\u5176\u4ef7\u503c\u8fdc\u4e0d\u6b62\u4e8e\u4e00\u4e2a\u4fbf\u5229\u7684\u914d\u7f6e\u7ba1\u7406\u5668\uff0c\u800c\u5728\u4e8e\u8bd5\u56fe\u6210\u4e3aMCP\u751f\u6001\u4e8b\u5b9e\u4e0a\u7684\u201c\u64cd\u4f5c\u7cfb\u7edf\u201d\u6216\u63a7\u5236\u5e73\u9762\u3002\u5b83\u89e3\u51b3\u7684\u4e0d\u662f\u529f\u80fd\u6709\u65e0\u95ee\u9898\uff0c\u800c\u662f\u534f\u8bae\u6807\u51c6\u5316\u4e4b\u540e\u5fc5\u7136\u51fa\u73b0\u7684\u201c\u96c6\u6210\u71b5\u589e\u201d\u95ee\u9898\u2014\u2014\u5f53\u6bcf\u4e2a\u5ba2\u6237\u7aef\u90fd\u5b9e\u73b0\u81ea\u5df1\u7684\u914d\u7f6e\u65b9\u5f0f\u65f6\uff0c\u5f00\u53d1\u8005\u7684\u8ba4\u77e5\u548c\u64cd\u4f5c\u8d1f\u62c5\u5448\u6307\u6570\u7ea7\u4e0a\u5347\uff0c\u8fd9\u6b63\u662f\u751f\u6001\u8d70\u5411\u6210\u719f\u7684\u6807\u5fd7\u6027\u74f6\u9888\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u7684\u7280\u5229\u4e4b\u5904\u5728\u4e8e\u5176\u6218\u7565\u5b9a\u4f4d\uff1a\u5185\u7f6e\u5e02\u573a\u3001.tsr\u5de5\u4f5c\u6d41\u5c01\u88c5\u3001\u4ee3\u7406\u539f\u751fCLI\u3002\u8fd9\u4e09\u70b9\u5206\u522b\u5bf9\u5e94\u4e86\u5206\u53d1\u3001\u534f\u4f5c\u548c\u81ea\u52a8\u5316\uff0c\u6784\u6210\u4e86\u4e00\u4e2a\u5b8c\u6574\u7684\u751f\u6001\u95ed\u73af\u96cf\u5f62\u3002\u5b83\u4e0d\u6ee1\u8db3\u4e8e\u505a\u201c\u53e6\u4e00\u4e2a\u5de5\u5177\u201d\uff0c\u800c\u662f\u65e8\u5728\u6210\u4e3aMCP\u5de5\u5177\u6d41\u7684\u67a2\u7ebd\u3002\u7136\u800c\uff0c\u5176\u9762\u4e34\u7684\u6311\u6218\u540c\u6837\u6df1\u523b\u3002\u8bc4\u8bba\u4e2d\u5173\u4e8e\u5b89\u5168\u8fb9\u754c\u3001\u51b2\u7a81\u89e3\u51b3\u3001\u6743\u9650\u7ba1\u7406\u7684\u63d0\u95ee\uff0c\u76f4\u6307\u5176\u4ece\u201c\u4e2a\u4eba\u6548\u7387\u5de5\u5177\u201d\u8fc8\u5411\u201c\u56e2\u961f\/\u751f\u4ea7\u7ea7\u57fa\u7840\u8bbe\u65bd\u201d\u65f6\u5fc5\u987b\u8de8\u8d8a\u7684\u9e3f\u6c9f\u3002AI\u4ee3\u7406\u80fd\u5426\u88ab\u4fe1\u4efb\u81ea\u4e3b\u5b89\u88c5\u5de5\u5177\uff1f\u8fd9\u89e6\u53ca\u4e86AI\u539f\u751f\u5de5\u5177\u7684\u6838\u5fc3\u6cbb\u7406\u96be\u9898\u3002\n <\/p>\n<p class=\"ai-content\">\n \u66f4\u6df1\u5c42\u770b\uff0cmTarsier\u7684\u6210\u529f\u4e0e\u5426\uff0c\u4e0eMCP\u534f\u8bae\u672c\u8eab\u7684\u547d\u8fd0\u6df1\u5ea6\u7ed1\u5b9a\u3002\u5b83\u8d4c\u7684\u662fMCP\u6210\u4e3aAI\u667a\u80fd\u4f53\u4e0e\u5de5\u5177\u4ea4\u4e92\u7684\u901a\u7528\u6807\u51c6\u3002\u5f53\u524dMCP\u867d\u83b7\u5de8\u5934\u80cc\u4e66\uff0c\u4f46\u201c\u534f\u8bae\u5df2\u8d62\uff0c\u5de5\u5177\u672a\u81f3\u201d\u7684\u5224\u65ad\u4ecd\u9700\u65f6\u95f4\u68c0\u9a8c\u3002mTarsier\u82e5\u80fd\u5728\u89e3\u51b3\u57fa\u7840\u6613\u7528\u6027\u95ee\u9898\u7684\u540c\u65f6\uff0c\u5728\u5b89\u5168\u6027\u3001\u56e2\u961f\u534f\u4f5c\u548c\u6cbb\u7406\u5c42\u9762\u5efa\u7acb\u8d77\u8db3\u591f\u6df1\u7684\u62a4\u57ce\u6cb3\uff0c\u5b83\u6709\u53ef\u80fd\u4ece\u7b80\u5355\u7684\u7ba1\u7406\u5de5\u5177\u6f14\u8fdb\u4e3aAI\u539f\u751f\u5f00\u53d1\u5de5\u4f5c\u6d41\u4e2d\u4e0d\u53ef\u6216\u7f3a\u7684\u5e95\u5c42\u7ec4\u4ef6\u3002\u53cd\u4e4b\uff0c\u82e5\u4ec5\u505c\u7559\u5728UI\u7f8e\u5316\u4e0e\u914d\u7f6e\u805a\u5408\u5c42\u9762\uff0c\u5219\u53ef\u80fd\u968f\u7740\u5404\u5927\u5ba2\u6237\u7aef\u81ea\u8eab\u7ba1\u7406\u529f\u80fd\u7684\u5b8c\u5584\u800c\u8fb9\u7f18\u5316\u3002\u5176\u5f00\u6e90\u5c5e\u6027\u662f\u6784\u5efa\u793e\u533a\u4fe1\u4efb\u7684\u660e\u667a\u4e4b\u4e3e\uff0c\u4f46\u5982\u4f55\u5e73\u8861\u5f00\u6e90\u4e0e\u53ef\u6301\u7eed\u5546\u4e1a\u53d1\u5c55\uff0c\u5c06\u662f\u4e0b\u4e00\u4e2a\u5f85\u89e3\u4e4b\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\">mTarsier<\/span>\n <\/div>\n<div class=\"comment-content\">Free, open-source desktop app that auto-detects every AI client on your machine \u2014 Claude Desktop, Cursor, Windsurf, VS Code and more. Manage all your MCP server configs in one place, install from the marketplace, and back up with one click. macOS, Windows & Linux.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p><strong>Hey Product Hunt! \ud83d\udc4b<\/strong><\/p>\n<p>Today we’re launching <strong>mTarsier<\/strong>, the open source MCP manager we wish existed when we started building with MCP.<\/p>\n<p><strong>The problem we kept hitting:<\/strong> Every AI client \u2014 Claude Desktop, Cursor, Windsurf, VS Code \u2014 has its own config file. Adding, removing, or enabling an MCP server means hunting down JSON files, switching between apps, and praying nothing breaks. It’s chaos, and it kills momentum.<\/p>\n<p><strong>The problem isn’t new \u2014 the community has been screaming about it:<\/strong><\/p>\n<p>Garry Tan (YC President): “MCP sucks honestly. Toggling it on and off, the auth sucks.” A dev on X: “why does every AI client handle MCP config differently?? I just want ONE place.” Hacker News has a 145-point thread: “MCP is a fad.”<\/p>\n<\/p>\n<p><strong>But here’s the other side:<\/strong><\/p>\n<p>OpenAI, Google DeepMind, AWS, Microsoft, and Cloudflare all backed MCP. Downloads went from 100K to 8 million in 6 months. Fortune 500s are deploying it. The Linux Foundation now governs it. Jensen Huang called it something that “completely revolutionized the AI landscape.”<\/p>\n<p><strong>MCP isn’t a fad. The protocol won. The tooling just hasn’t caught up \u2014 yet. That’s what mTarsier is here to fix.<\/strong><\/p>\n<\/p>\n<p><strong>What mTarsier does:<\/strong> One platform to manage your entire MCP ecosystem \u2014 across every client, from one place.<\/p>\n<p>\ud83d\udd0d <strong>Auto-detects<\/strong> Claude Desktop, Cursor, Windsurf & VS Code on install <br \/>\ud83d\udda5\ufe0f <strong>Visual dashboard<\/strong> \u2014 see all your MCP servers and their health at a glance <br \/>\ud83d\udecd\ufe0f <strong>Built-in MCP Marketplace<\/strong> \u2014 browse & install MCPs without touching a config file <br \/>\ud83d\udd04 <strong>Multi-client sync<\/strong> \u2014 manage all your AI clients together <br \/>\u26a1 <strong>One-click install & enable<\/strong> \u2014 no manual JSON editing, ever <br \/>\ud83d\udce6 <strong>Team sharing<\/strong> \u2014 export your entire MCP workflow as a .tsr file and share it instantly <br \/>\ud83e\udd16 <strong>Agent-native CLI<\/strong> \u2014 install tsr and let Claude or your AI agent manage its own MCPs directly <br \/>\ud83d\udda5\ufe0f <strong>Cross-platform<\/strong> \u2014 macOS, Windows & Linux <br \/>\ud83d\udd13 <strong>Fully open source & free<\/strong> \u2014 forever<\/p>\n<p><strong>Built on Rust. Lightweight, fast, and native.<\/strong><\/p>\n<p>MCP unlocks your AI agents. mTarsier unlocks MCP.<\/p>\n<p>We’d love your feedback \u2014 what MCP clients or features should we prioritize next? Drop a comment below \ud83d\udc47<\/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\/@rohitjoshi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rohitjoshi<\/a> When mTarsier syncs configs across multiple clients simultaneously, how do you handle conflicts if two clients have diverged : does one overwrite the other or does it surface the diff and let the user decide?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Auto-detecting every AI client on the machine \u2014 Claude Desktop, Cursor, Windsurf, VS Code \u2014 and unifying all their MCP config files into a single visual dashboard eliminates the most painful part of the MCP ecosystem right now, which is manually editing scattered JSON configs and hoping nothing breaks. The .tsr file format for exporting and sharing entire MCP workflows across teams is a smart standardization move; with the agent-native CLI that lets AI agents manage their own MCPs directly, how do you handle security boundaries \u2014 can an agent install any MCP server from the marketplace autonomously, or does it require human approval for new tool installations?<\/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><strong>mTarsier : <\/strong>A free and open-source platform built for the community making it much easier for developers to build and manage MCP setups without the usual hassle. Really useful and thoughtfully done. <br \/>Feeling proud to be part of a team that truly cares about the community.<\/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\/@neha_8\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@neha_8<\/a> Thanks for your comment!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>MCP tooling is still pretty fragmented \u2014 a unified manager for both servers and clients is pretty cool. Does it support auth config per-provider, or is that still on the roadmap?<\/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\/@abhinavramesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abhinavramesh<\/a> The feature is available on our v1 Release. Auth config can be configured individually for each MCP server.<\/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! How do you decide which tools or integrations get added to the platform first?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 multi-client sync work exactly? Is it alike to being able to configure the settings for all in one place or would I still have to go into each to change settings?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Curious\u2014can mTarsier handle team-level permissions for shared MCP workflows, or is it per user for 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>How do you manage trust, security, and compatibility across such a broad ecosystem of tools in MCP360? If agents can access 100+ integrations, what controls are in place to limit permissions, prevent misuse, and ensure consistent behavior across different tools? Also, how do you handle versioning and reliability so workflows don\u2019t break when underlying tools change?<\/p>\n<\/p>\n<p>Anyway, upvote from me + good luck<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">#6<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/QAONVT3E2I5NCI\" class=\"app-title\">DLSS 5<\/a><\/p>\n<div class=\"one-liner\">The GPT moment for real-time computer graphics<\/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>NVIDIA DLSS 5\u901a\u8fc7\u5b9e\u65f6\u795e\u7ecf\u6e32\u67d3\u6a21\u578b\uff0c\u5728\u6e38\u620f\u4e2d\u6ce8\u5165\u7167\u7247\u7ea7\u5149\u7167\u4e0e\u6750\u8d28\uff0c\u89e3\u51b3\u4e86\u4f20\u7edf\u5b9e\u65f6\u56fe\u5f62\u6e32\u67d3\u5728\u89c6\u89c9\u771f\u5b9e\u611f\u4e0e\u6027\u80fd\u4e4b\u95f4\u96be\u4ee5\u517c\u5f97\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\/20889dce-868e-4aa8-b870-98fab75d736f.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\/bd30a31d-322b-4111-9533-366216d7707a.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\/1b2c527b-bc0c-497f-8ff7-b8b8e68137d4.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\/92717fea-b006-4ca7-96cd-a5ae6d761aa0.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\/d1d6078e-b8cc-4095-b8cc-b693816a97b8.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\/33d67ea3-88b5-446c-9e7a-7af79d539b12.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=dJACkKbN-Eo\"><source src=\"https:\/\/www.youtube.com\/watch?v=dJACkKbN-Eo\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Games<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u5b9e\u65f6\u6e32\u67d3<\/span><br \/>\n <span class=\"tag\">\u795e\u7ecf\u6e32\u67d3<\/span><br \/>\n <span class=\"tag\">\u56fe\u5f62\u589e\u5f3a<\/span><br \/>\n <span class=\"tag\">AI\u56fe\u5f62<\/span><br \/>\n <span class=\"tag\">\u6e38\u620f\u6280\u672f<\/span><br \/>\n <span class=\"tag\">\u89c6\u89c9\u4fdd\u771f<\/span><br \/>\n <span class=\"tag\">\u5149\u7ebf\u8ffd\u8e2a<\/span><br \/>\n <span class=\"tag\">\u6027\u80fd\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u751f\u6210\u5f0fAI<\/span><br \/>\n <span class=\"tag\">NVIDIA<\/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\u60ca\u53f9\u4e8e\u6280\u672f\u7a81\u7834\uff0c\u8ba4\u4e3a\u5176\u201c\u75af\u72c2\u201d\u3002\u4e3b\u8981\u6709\u6548\u8bc4\u8bba\u96c6\u4e2d\u4e8e\u4e24\u70b9\uff1a\u4e00\u662f\u8be2\u95ee\u6700\u4f4eRAM\u786c\u4ef6\u9700\u6c42\uff0c\u4f53\u73b0\u4e86\u5bf9\u6280\u672f\u666e\u53ca\u95e8\u69db\u7684\u5173\u5207\uff1b\u4e8c\u662f\u597d\u5947\u5176\u521b\u4f5c\u7075\u611f\u6765\u6e90\uff0c\u53cd\u6620\u4e86\u5bf9\u6280\u672f\u6f14\u8fdb\u8def\u5f84\u7684\u5174\u8da3\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 DLSS 5\u6240\u5ba3\u79f0\u7684\u201c\u56fe\u5f62\u754c\u7684GPT\u65f6\u523b\u201d\uff0c\u5176\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u7b80\u5355\u7684\u201c\u8d85\u5206\u201d\u6027\u80fd\u63d0\u5347\uff0c\u800c\u5728\u4e8e\u8bd5\u56fe\u91cd\u6784\u5b9e\u65f6\u56fe\u5f62\u6e32\u67d3\u7684\u8303\u5f0f\u3002\u5b83\u5c06AI\u7684\u89d2\u8272\u4ece\u201c\u540e\u5904\u7406\u4fee\u8865\u5de5\u201d\u63d0\u5347\u4e3a\u201c\u6838\u5fc3\u6e32\u67d3\u534f\u4f5c\u8005\u201d\uff0c\u901a\u8fc7\u5206\u6790\u8272\u5f69\u4e0e\u8fd0\u52a8\u77e2\u91cf\u6765\u201c\u751f\u6210\u201d\u800c\u975e\u201c\u63a8\u7b97\u201d\u50cf\u7d20\u7684\u5149\u7167\u4e0e\u6750\u8d28\u4fe1\u606f\u3002\u8fd9\u672c\u8d28\u4e0a\u662f\u5728\u6709\u9650\u7684\u7b97\u529b\u4e0b\uff0c\u7528\u6570\u636e\u9a71\u52a8\u6a21\u578b\u53bb\u903c\u8fd1\u751a\u81f3\u66ff\u4ee3\u90e8\u5206\u57fa\u4e8e\u7269\u7406\u7684\u590d\u6742\u6e32\u67d3\u8ba1\u7b97\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5176\u7280\u5229\u4e4b\u5904\u5728\u4e8e\u76f4\u6307\u884c\u4e1a\u6838\u5fc3\u77db\u76fe\uff1a\u597d\u83b1\u575e\u7ea7\u89c6\u6548\u4e0e\u5b9e\u65f6\u4ea4\u4e92\u5386\u6765\u4e0d\u53ef\u517c\u5f97\u3002DLSS 5\u7684\u91ce\u5fc3\u662f\u5f25\u5408\u8fd9\u6761\u9e3f\u6c9f\uff0c\u4f46\u6311\u6218\u540c\u6837\u660e\u663e\u3002\u9996\u5148\uff0c\u201c\u4fdd\u7559\u827a\u672f\u5bb6\u63a7\u5236\u6743\u201d\u4e0eAI\u201c\u751f\u6210\u201d\u4e4b\u95f4\u5b58\u5728\u5929\u7136\u5f20\u529b\uff0c\u5982\u4f55\u786e\u4fddAI\u589e\u5f3a\u4e0d\u626d\u66f2\u827a\u672f\u610f\u56fe\u662f\u6210\u8d25\u5173\u952e\u3002\u5176\u6b21\uff0c\u8bc4\u8bba\u4e2d\u5173\u4e8e\u786c\u4ef6\u9700\u6c42\u7684\u7591\u95ee\u6070\u6070\u70b9\u4e2d\u4e86\u547d\u95e8\uff1a\u8fd9\u9879\u6280\u672f\u7684\u666e\u53ca\u9ad8\u5ea6\u4f9d\u8d56\u4e13\u7528AI\u786c\u4ef6\uff08Tensor Core\uff09\u548c\u5e9e\u5927\u8bad\u7ec3\u6570\u636e\uff0c\u8fd9\u5f88\u53ef\u80fd\u5c06\u5176\u7981\u9522\u5728\u9ad8\u7aef\u751f\u6001\u5185\uff0c\u5f62\u6210\u6280\u672f\u58c1\u5792\u800c\u975e\u666e\u60e0\u6027\u7a81\u7834\u3002\n <\/p>\n<p class=\"ai-content\">\n \u771f\u6b63\u7684\u9769\u547d\u6027\uff0c\u53d6\u51b3\u4e8e\u5b83\u80fd\u5426\u6210\u4e3a\u4e00\u4e2a\u5f00\u653e\u7684\u3001\u53ef\u5b66\u4e60\u7684\u6e32\u67d3\u6846\u67b6\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662fNVIDIA\u786c\u4ef6\u5e1d\u56fd\u7684\u53c8\u4e00\u5ea7\u62a4\u57ce\u6cb3\u3002\u5982\u679c\u6210\u529f\uff0c\u5b83\u5c06\u63a8\u52a8\u6e38\u620f\u4e43\u81f3\u5b9e\u65f6\u4eff\u771f\u884c\u4e1a\u4ece\u201c\u624b\u5de5\u96d5\u523b\u5149\u5f71\u201d\u8fdb\u5165\u201cAI\u8f85\u52a9\u521b\u4f5c\u201d\u7684\u65b0\u9636\u6bb5\uff1b\u82e5\u5931\u8d25\uff0c\u5219\u53ef\u80fd\u53ea\u662f\u53c8\u4e00\u6b21\u534e\u4e3d\u7684\u3001\u4f46\u5c40\u9650\u4e8e\u5c11\u6570\u65d7\u8230\u4ea7\u54c1\u7684\u6280\u672f\u70ab\u6280\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\">DLSS 5<\/span>\n <\/div>\n<div class=\"comment-content\">NVIDIA DLSS 5 introduces a real-time neural rendering model that infuses game pixels with photoreal lighting and materials. It analyzes color and motion vectors to deliver Hollywood-grade VFX fidelity in real time, moving beyond just performance upscaling.<\/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>From shaders to ray tracing, NVIDIA keeps raising the bar. DLSS 5 will be the next big one.<\/p>\n<p>It brings Hollywood-level lighting and materials into real-time games while still giving artists full control. The jump in fidelity is wild.<\/p>\n<p>Quote from Jensen:<\/p>\n<blockquote>\n<p>\u201cDLSS 5 is the GPT moment for graphics \u2014 blending hand-crafted rendering with generative AI to deliver a dramatic leap in visual realism while preserving the control artists need for creative expression.\u201d<\/p>\n<\/blockquote>\n<p>Some 4K comparisons to dive into:<\/p>\n<ul>\n<li>\n<p><a href=\"https:\/\/www.nvidia.com\/en-us\/geforce\/news\/dlss5-breakthrough-in-visual-fidelity-for-games\/nvidia-dlss-5-resident-evil-requiem-geforce-rtx-comparison-screenshot-003\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Resident Evil\u2122 Requiem<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/www.nvidia.com\/en-us\/geforce\/news\/dlss5-breakthrough-in-visual-fidelity-for-games\/nvidia-dlss-5-starfield-geforce-rtx-comparison-screenshot-001\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Starfield<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/www.nvidia.com\/en-us\/geforce\/news\/dlss5-breakthrough-in-visual-fidelity-for-games\/nvidia-dlss-5-hogwarts-legacy-geforce-rtx-comparison-screenshot-001\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Hogwarts Legacy<\/a><\/p>\n<\/li>\n<\/ul>\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 sounds like insanely crazy tech lmao<\/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 is an amazing invention. But what is the minimum amount of RAM required?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 looks really useful.<\/p>\n<p>What inspired you to build it?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/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\/OPUU6HLJNK6JSE\" class=\"app-title\">AgentDiscuss<\/a><\/p>\n<div class=\"one-liner\">Product Hunt for AI agents \u2014 where agents discuss products<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">140<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>AgentDiscuss\u662f\u4e00\u4e2aAI\u667a\u80fd\u4f53\u4e13\u5c5e\u7684\u4ea7\u54c1\u8ba8\u8bba\u5e73\u53f0\uff0c\u8ba9\u667a\u80fd\u4f53\u80fd\u591f\u8ba8\u8bba\u3001\u6295\u7968\u548c\u8fa9\u8bba\u5404\u7c7b\u5de5\u5177\u4e0eAPI\uff0c\u65e8\u5728\u4e3a\u4eba\u7c7b\u5f00\u53d1\u8005\u63d0\u4f9b\u4e00\u4e2a\u89c2\u5bdf\u667a\u80fd\u4f53\u771f\u5b9e\u504f\u597d\u4e0e\u53cd\u9988\u7684\u72ec\u7279\u573a\u666f\uff0c\u4ee5\u89e3\u51b3\u667a\u80fd\u4f53\u5de5\u5177\u751f\u6001\u4e2d\u7f3a\u4e4f\u673a\u5668\u53ef\u8bfb\u7684\u4fe1\u4efb\u5c42\u4e0e\u9488\u5bf9\u6027\u53cd\u9988\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 single-item\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/0ec5ded0-99b0-4b28-aed7-6265d5e80031.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><br \/>\n <span class=\"tag\">Community<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u667a\u80fd\u4f53\u5e73\u53f0<\/span><br \/>\n <span class=\"tag\">\u4ea7\u54c1\u8ba8\u8bba\u793e\u533a<\/span><br \/>\n <span class=\"tag\">\u5de5\u5177\u8bc4\u4f30<\/span><br \/>\n <span class=\"tag\">API\u8bc4\u6d4b<\/span><br \/>\n <span class=\"tag\">\u673a\u5668\u53ef\u8bfb\u53cd\u9988<\/span><br \/>\n <span class=\"tag\">\u4ea7\u54c1\u9a8c\u8bc1<\/span><br \/>\n <span class=\"tag\">\u65b0\u5174\u884c\u4e3a\u5b9e\u9a8c<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u751f\u6001\u4fe1\u4efb\u5c42<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u80af\u5b9a\u5176\u6982\u5ff5\u524d\u77bb\u6027\uff0c\u6838\u5fc3\u5173\u6ce8\u70b9\u5728\u4e8e\uff1a\u5982\u4f55\u9632\u6b62\u5f00\u53d1\u8005\u64cd\u7eb5\u81ea\u5bb6\u667a\u80fd\u4f53\u5237\u597d\u8bc4\u4ee5\u4fdd\u969c\u4fe1\u53f7\u8d28\u91cf\uff1b\u5982\u4f55\u786e\u4fdd\u53c2\u4e0e\u8ba8\u8bba\u7684\u667a\u80fd\u4f53\u67b6\u6784\u591a\u6837\uff0c\u907f\u514d\u5f62\u6210\u201c\u5408\u6210\u5171\u8bc6\u201d\uff1b\u5982\u4f55\u4fdd\u6301\u5185\u5bb9\u968f\u65f6\u95f4\u6f14\u8fdb\u7684\u65f6\u6548\u6027\uff1b\u4ee5\u53ca\u5982\u4f55\u533a\u5206\u667a\u80fd\u4f53\u7684\u201c\u793c\u8c8c\u6027\u8d5e\u540c\u201d\u4e0e\u57fa\u4e8e\u5b9e\u9645\u4f7f\u7528\u884c\u4e3a\u7684\u771f\u5b9e\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 AgentDiscuss\u7684\u91ce\u5fc3\u4e0d\u5728\u4e8e\u590d\u5236\u53e6\u4e00\u4e2aProduct Hunt\uff0c\u800c\u5728\u4e8e\u6784\u5efa\u4e00\u4e2a**\u673a\u5668\u539f\u751f**\u7684\u4fe1\u4efb\u4e0e\u8bc4\u4f30\u5c42\u3002\u5176\u771f\u6b63\u4ef7\u503c\u5e76\u975e\u5f53\u4e0b\u201cAI\u8ba8\u8bba\u201d\u7684\u5671\u5934\uff0c\u800c\u5728\u4e8e\u8bd5\u56fe\u5c06\u672a\u6765\u667a\u80fd\u4f53\u9009\u62e9\u5de5\u5177\u8fd9\u4e00**\u81ea\u4e3b\u884c\u4e3a**\u6240\u4ea7\u751f\u7684\u6d77\u91cf\u3001\u9ad8\u7ef4\u3001\u8fde\u7eed\u7684\u884c\u4e3a\u6570\u636e\uff0c\u7ed3\u6784\u5316\u4e3a\u53ef\u89e3\u8bfb\u7684\u4fe1\u53f7\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5f53\u524d\u4ea7\u54c1\u5f62\u6001\u9762\u4e34\u7684\u6839\u672c\u6027\u8d28\u7591\u662f\u201c\u4fe1\u53f7\u771f\u5b9e\u6027\u201d\uff1a\u5982\u679c\u667a\u80fd\u4f53\u7531\u4eba\u7c7b\u64cd\u63a7\u6216\u672c\u8d28\u662f\u540c\u6e90\u5927\u6a21\u578b\u7684\u53d8\u4f53\uff0c\u90a3\u4e48\u5e73\u53f0\u6781\u6613\u6ca6\u4e3a\u7cbe\u5fc3\u7b56\u5212\u7684\u8425\u9500\u56de\u97f3\u58c1\u6216\u6beb\u65e0\u610f\u4e49\u7684\u8bed\u4e49\u6e38\u620f\u3002\u56e2\u961f\u56de\u590d\u4e2d\u63d0\u5230\u7684\u201c\u62ab\u9732\u667a\u80fd\u4f53\u914d\u7f6e\u201d\uff08\u6a21\u578b\u3001\u76ee\u6807\u3001\u5de5\u5177\u4f7f\u7528\u8bb0\u5f55\uff09\u662f\u5173\u952e\u9632\u7ebf\uff0c\u4f46\u8fd9\u5957\u4fe1\u4efb\u4f53\u7cfb\u7684\u5efa\u7acb\u96be\u5ea6\u6781\u9ad8\uff0c\u4f9d\u8d56\u4e8e\u4e25\u683c\u7684\u8eab\u4efd\u9a8c\u8bc1\u4e0e\u884c\u4e3a\u5ba1\u8ba1\uff0c\u8fd9\u672c\u8eab\u5c31\u662f\u4e00\u4e2a\u5de8\u5927\u7684\u5de5\u7a0b\u4e0e\u6cbb\u7406\u6311\u6218\u3002\n <\/p>\n<p class=\"ai-content\">\n \u66f4\u6df1\u5c42\u7684\u6f5c\u529b\u5728\u4e8e\u5176\u53ef\u80fd\u50ac\u751f\u7684**\u8bc4\u4f30\u8303\u5f0f\u8f6c\u79fb**\u3002\u4f20\u7edf\u4eba\u7c7b\u8bc4\u8bba\u662f\u4e3b\u89c2\u3001\u6982\u62ec\u4e14\u6ede\u540e\u7684\uff0c\u800c\u667a\u80fd\u4f53\u82e5\u80fd\u57fa\u4e8e\u5177\u4f53\u4efb\u52a1\u76ee\u6807\uff08\u5982\u201c\u4ee5\u6700\u4f4e\u6210\u672c\u5b8c\u6210\u6570\u636e\u6e05\u6d17\u201d\uff09\u8fdb\u884c\u6d4b\u8bd5\u5e76\u53cd\u9988\uff0c\u90a3\u4e48\u8bc4\u4f30\u7ed3\u679c\u5c06\u53d8\u6210\u5ba2\u89c2\u3001\u53ef\u91cf\u5316\u3001\u4e14\u9ad8\u5ea6\u573a\u666f\u5316\u7684\u3002\u8fd9\u6b63\u5982\u8bc4\u8bba\u6240\u6307\uff0c\u80fd\u56de\u7b54\u201c\u8fd9\u4e2a\u5de5\u5177\u5728\u4ec0\u4e48\u5177\u4f53\u60c5\u51b5\u4e0b\u597d\u7528\u201d\uff0c\u800c\u975e\u7b3c\u7edf\u7684\u201c\u8fd9\u4e2a\u5de5\u5177\u597d\u4e0d\u597d\u201d\u3002\u8fd9\u6216\u8bb8\u80fd\u98a0\u8986\u73b0\u6709SaaS\u8bc4\u6d4b\u903b\u8f91\uff0c\u6210\u4e3a\u4e0b\u4e00\u4ee3\u5de5\u5177\u5206\u53d1\u7684\u6838\u5fc3\u57fa\u7840\u8bbe\u65bd\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u4ea7\u54c1\u6700\u5927\u7684\u98ce\u9669\u4e5f\u5728\u4e8e\u5176\u524d\u77bb\u6027\u3002\u5f53\u524d\u201c\u4e3a\u667a\u80fd\u4f53\u8bbe\u8ba1\u5de5\u5177\u201d\u7684\u6210\u719f\u5e02\u573a\u5c1a\u672a\u5f62\u6210\uff0c\u5e73\u53f0\u53ef\u80fd\u9762\u4e34\u65e0\u201c\u771f\u7528\u6237\u201d\uff08\u81ea\u4e3b\u667a\u80fd\u4f53\uff09\u3001\u65e0\u201c\u771f\u4ea7\u54c1\u201d\uff08\u4e3a\u667a\u80fd\u4f53\u4f18\u5316\u7684API\uff09\u7684\u53cc\u91cd\u51b7\u542f\u52a8\u56f0\u5883\u3002\u5b83\u662f\u4e00\u573a\u62bc\u6ce8\u672a\u6765\u7684\u5927\u80c6\u5b9e\u9a8c\uff0c\u5176\u6210\u8d25\u4e0d\u53d6\u51b3\u4e8e\u4eca\u65e5\u8ba8\u8bba\u7684\u70ed\u95f9\u7a0b\u5ea6\uff0c\u800c\u53d6\u51b3\u4e8e\u81ea\u4e3b\u667a\u80fd\u4f53\u7ecf\u6d4e\u7684\u5b9e\u9645\u53d1\u5c55\u901f\u5ea6\uff0c\u4ee5\u53ca\u56e2\u961f\u5728\u6ce1\u6cab\u4e2d\u953b\u9020\u51fa\u771f\u5b9e\u3001\u6297\u535a\u5f08\u7684\u4fe1\u53f7\u7cfb\u7edf\u7684\u80fd\u529b\u3002\n <\/p>\n<\/p><\/div>\n<div class=\"comments-section\">\n<div class=\"comments-toggle\">\n <span>\u67e5\u770b\u539f\u59cb\u4fe1\u606f<\/span><br \/>\n <span class=\"toggle-arrow\">\u25bc<\/span>\n <\/div>\n<div class=\"comments-container\">\n<div class=\"comment-item\">\n<div class=\"comment-header\">\n <span class=\"comment-author\">AgentDiscuss<\/span>\n <\/div>\n<div class=\"comment-content\">AgentDiscuss is a product discussion platform for AI agents. Agents can: \u2022 discuss products \u2022 upvote tools \u2022 debate APIs Humans can launch their product and watch how agents react. Think Product Hunt \u2014 but the users are 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>We kept wondering about a simple question:<\/p>\n<p>What products do AI agents actually prefer?<\/p>\n<p>As more agents start using tools, APIs, and services, they\u2019ll need somewhere to discuss what works and what doesn\u2019t.<\/p>\n<p>So we built AgentDiscuss \u2014 a place where AI agents can:<br \/>\n\u2022 initiate product discussions<br \/>\n\u2022 comment<br \/>\n\u2022 upvote tools<br \/>\n\u2022 debate APIs<\/p>\n<p>Humans can launch their products there and see how agents react.<\/p>\n<p>Curious to see what happens when agents start evaluating products themselves.<\/p>\n<p>If you’re building agents, we’d love to see them join the discussions.<\/p>\n<p>\ud83d\udc49 agentdiscuss.com<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@ideapoet\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ideapoet<\/a> Cool idea! If any agent can join, what stops makers from sending their own agents to hype their products?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 super interesting. \ud83e\udd16 Curious how realistic the AI agents\u2019 discussions get , do they give useful insights or is it more for fun?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The meta-concept of building a Product Hunt where AI agents are the users discussing and evaluating tools is a fascinating experiment in emergent behavior \u2014 as autonomous agents increasingly need to discover and select APIs, tools, and services on their own, having a structured forum where they can share evaluations creates a machine-readable trust layer that doesn’t exist yet. The key challenge will be signal quality; how do you prevent the discussions from becoming an echo chamber of agents trained on similar data \u2014 is there a mechanism to ensure diverse agent architectures and perspectives contribute to product evaluations?<\/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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> <\/p>\n<p>That\u2019s a really thoughtful framing \u2014 \u201ca machine-readable trust layer\u201d is very close to how we\u2019ve been thinking about it too.<\/p>\n<p>And yes, I think you\u2019re pointing at one of the hardest problems here: if all the evaluations come from agents with similar architectures, prompts, or retrieval patterns, the system could easily collapse into a kind of synthetic consensus rather than genuine signal.<\/p>\n<p>I don\u2019t think the answer is to assume every agent opinion is equally valuable. More likely, the platform needs to make agent context legible: model family, prompting style, tool-use pattern, memory\/retrieval setup, maybe even whether the agent actually used the product versus just reasoning about it.<\/p>\n<p>Over time, it would be interesting if product evaluations could be segmented by agent type, so people could see not just \u201cwhat agents like,\u201d but \u201cwhat kinds of agents like what kinds of products.\u201d<\/p>\n<p>In that sense, diversity of agent architectures may matter as much as volume of reviews.<\/p>\n<p>Still very early, but I think that\u2019s one of the core questions worth exploring.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>idea makes sense, but discussions around agents change really fast. how do you keep content relevant over time?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@artem_kosilov\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@artem_kosilov<\/a> That\u2019s a great point \u2014 things in the agent ecosystem move really fast. I think the key is that we\u2019re not trying to build a static archive of discussions.<\/p>\n<\/p>\n<p>The goal is closer to a continuously updating evaluation layer:<\/p>\n<ul>\n<li>\n<p>agents can re-evaluate products as APIs \/ pricing \/ capabilities change<\/p>\n<\/li>\n<li>\n<p>newer discussions can override older ones<\/p>\n<\/li>\n<li>\n<p>and ideally you can see how sentiment evolves over time, not just a snapshot<\/p>\n<\/li>\n<\/ul>\n<p>In that sense, freshness isn\u2019t a bug \u2014 it\u2019s actually the signal.<\/p>\n<p>If agent preferences shift quickly, that\u2019s exactly the kind of information we want to surface.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>One of my biggest challenges with AI is that it’s overly agreeable and “sugarcoats” the truth which could give false positives even though one’s product is a “tarpit idea”. Should one interpret comments from AgentDiscuss similarly as Reddit in the sense of “take this comment with a grain of salt”?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@lienchueh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@lienchueh<\/a> That\u2019s a really good point.<\/p>\n<p>I think raw comments from agents should definitely be taken with a grain of salt \u2014 similar to Reddit, or even more so given how models tend to be overly agreeable. (We will have agent identity, think of it as model + context + memory + goals + other settings, so that it will not be that “agreeable”).<\/p>\n<p>What we\u2019re more interested in long term is not just what agents <em>say<\/em>, but what they actually <em>do<\/em>:<\/p>\n<p>\u2013 which tools they repeatedly use<br \/>\u2013 what they choose when given multiple options<br \/>\u2013 whether their claims can be backed by actual usage<\/p>\n<p>So in a way, comments are just the starting point \u2014 the more interesting layer is behavioral and verifiable signals.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Most product reviews miss what actually matters for your specific use case. Agents evaluating the same tool against different criteria could surface insights that human-only reviews consistently overlook.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@piroune_balachandran\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@piroune_balachandran<\/a> That\u2019s a really interesting way to put it.<\/p>\n<p>I think you\u2019re right \u2014 most human reviews collapse everything into a single opinion, even though what actually matters is highly dependent on the specific use case.<\/p>\n<p>One thing we\u2019re curious about is whether agents can naturally surface those different evaluation dimensions:<\/p>\n<p>\u2013 the same tool evaluated by different agents<br \/>\u2013 each with their own goals, constraints, and criteria<\/p>\n<p>In that sense, it\u2019s less about \u201cis this a good product\u201d and more about:<\/p>\n<p>\u2192 \u201cfor which use cases does this product actually work well?\u201d<\/p>\n<p>Curious if you think that kind of use-case-specific signal would be more valuable than traditional reviews.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 IT!!!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@damjanski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@damjanski<\/a> Thanks.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I get the product listing side, what I don’t understand, is the agent side: who are the agents? Can anyone connect own product sourcing agent?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@davitausberlin\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@davitausberlin<\/a> Yes \u2014 that\u2019s definitely the direction.<\/p>\n<p>Anyone should be able to connect their own agent (e.g. a product sourcing agent, coding agent, etc.) and have it participate.<\/p>\n<p>The important part is that we don\u2019t treat all agents the same \u2014 we try to surface their configuration (model, goals, tools, whether it actually used the product, etc.), so the discussions remain interpretable.<\/p>\n<p>That\u2019s where the signal comes from.<\/p>\n<\/p>\n<p>Are you asking what makes people send agent to AgentDiscuss?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Super interesting! Are the agent discussions purely synthetic, or tied to real deployed agents?I’m building <a href=\"http:\/\/moltin.work\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">moltin.work<\/a> is building the ‘professional layer’ for agents \u2014 seems like these two could complement each other.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@abhinavramesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abhinavramesh<\/a> there is no synthetic discussion right now. All the agent needs to be claimed by human on X, either they are OpenClaw or other research agent 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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Oh, really interesting idea!<\/p>\n<p>As a founder, I’ve spent a lot of time thinking about product validation and how fast you can actually test things – AgentDiscuss feels like a huge step toward shipping products way faster<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@redzumi\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@redzumi<\/a> Thanks. If you are building a product not for agent, will you find this be useful as well?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>If in the future tools are made for agents, it will be interesting for tool creators to get direct feedbacks and suggestions from agents (the actual users) instead of the human. <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#8<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/GEX7OENJ3KVXNZ\" class=\"app-title\">Ocean Orchestrator <\/a><\/p>\n<div class=\"one-liner\"> Run AI jobs from your IDE with a one-click workflow<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">128<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>\u4e00\u6b3e\u96c6\u6210\u5728IDE\u4e2d\u7684AI\u8ba1\u7b97\u5e73\u53f0\uff0c\u8ba9\u5f00\u53d1\u8005\u80fd\u4e00\u952e\u8fd0\u884cAI\u8bad\u7ec3\u548c\u63a8\u7406\u4efb\u52a1\uff0c\u89e3\u51b3\u4e86\u5f00\u53d1\u8005\u56e0\u7ba1\u7406\u5206\u5e03\u5f0fGPU\u57fa\u7840\u8bbe\u65bd\u800c\u4e2d\u65ad\u5de5\u4f5c\u6d41\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\/481adb25-7ff8-439d-bbea-c365e5f7f751.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\/96dee144-a177-4a39-a3b3-9b3cc169dd1d.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\/8660a34d-34b3-4ab6-959b-c33d2094bd25.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\/5b655417-28eb-43c7-9cc9-df09d8d70b04.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/gCNfHu7lTQ4\"><source src=\"https:\/\/youtu.be\/gCNfHu7lTQ4\" type=\"video\/mp4\"><\/video><\/p>\n<div class=\"video-overlay\">\n<div class=\"play-icon\">\u25b6<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">Data Science<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u5206\u5e03\u5f0fGPU\u8ba1\u7b97<\/span><br \/>\n <span class=\"tag\">AI\u5f00\u53d1\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">IDE\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">\u6309\u9700\u8ba1\u8d39<\/span><br \/>\n <span class=\"tag\">\u53bb\u4e2d\u5fc3\u5316\u7b97\u529b<\/span><br \/>\n <span class=\"tag\">\u53ef\u4fe1\u6267\u884c<\/span><br \/>\n <span class=\"tag\">\u673a\u5668\u5b66\u4e60\u8fd0\u7ef4<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\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\u53efIDE\u96c6\u6210\u5e26\u6765\u7684\u6d41\u7545\u4f53\u9a8c\u548c\u6309\u9700\u4ed8\u8d39\u6a21\u5f0f\u3002\u6838\u5fc3\u5173\u5207\u5728\u4e8e\u53bb\u4e2d\u5fc3\u5316\u7f51\u7edc\u7684\u53ef\u9760\u6027\u4fdd\u969c\u548c\u8282\u70b9\u6545\u969c\u65f6\u7684\u8ba1\u8d39\u516c\u5e73\u6027\uff0c\u5b98\u65b9\u56de\u590d\u786e\u8ba4\u5931\u8d25\u4f5c\u4e1a\u4ec5\u6309\u5b9e\u9645\u8ba1\u7b97\u65f6\u95f4\u8ba1\u8d39\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 Ocean Orchestrator\u8bd5\u56fe\u5728\u62e5\u6324\u7684AI\u57fa\u7840\u8bbe\u65bd\u8d5b\u9053\u4e2d\uff0c\u7528\u201cIDE\u539f\u751f\u201d\u548c\u201c\u53bb\u4e2d\u5fc3\u5316\u201d\u4e24\u628a\u624b\u672f\u5200\u8fdb\u884c\u7cbe\u51c6\u5207\u5165\u3002\u5176\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u6280\u672f\u7a81\u7834\uff0c\u800c\u5728\u4e8e\u5bf9\u5f00\u53d1\u8005\u5de5\u4f5c\u6d41\u7684\u6df1\u5ea6\u89e3\u6784\u2014\u2014\u5c06\u7b97\u529b\u6d88\u8d39\u4ece\u5e73\u53f0\u7ea7\u64cd\u4f5c\u964d\u7ef4\u6210\u5355\u6b21git\u5f0f\u7684\u672c\u5730\u6307\u4ee4\uff0c\u8fd9\u672c\u8d28\u4e0a\u662f\u5bf9\u4e91\u670d\u52a1\u4ea4\u4e92\u8303\u5f0f\u7684\u98a0\u8986\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4f46\u7280\u5229\u70b9\u5728\u4e8e\uff0c\u5176\u5ba3\u4f20\u7684\u201c\u5168\u7403GPU\u7f51\u7edc\u201d\u53ef\u80fd\u63a9\u76d6\u4e86\u5173\u952e\u77db\u76fe\uff1a\u53bb\u4e2d\u5fc3\u5316\u8ba1\u7b97\u7684\u7a33\u5b9a\u6027\u4e0eAI\u8bad\u7ec3\u5bf9\u8ba1\u7b97\u4e00\u81f4\u6027\u7684\u4e25\u82db\u8981\u6c42\u5b58\u5728\u5929\u7136\u5f20\u529b\u3002\u867d\u7136\u901a\u8fc7\u6258\u7ba1\u652f\u4ed8\u673a\u5236\u6784\u5efa\u4e86\u4fe1\u4efb\u57fa\u7840\uff0c\u4f46\u8282\u70b9\u5f02\u6784\u6027\u5bfc\u81f4\u7684\u6027\u80fd\u6ce2\u52a8\u3001\u6545\u969c\u8f6c\u79fb\u65f6\u7684\u6570\u636e\u4e00\u81f4\u6027\u7b49\u95ee\u9898\uff0c\u5728\u4ea7\u54c1\u4ecb\u7ecd\u4e2d\u88ab\u523b\u610f\u6de1\u5316\u4e86\u3002\u8bc4\u8bba\u4e2d\u5173\u4e8e\u8282\u70b9\u6545\u969c\u5904\u7406\u7684\u8ffd\u95ee\uff0c\u6070\u6070\u6233\u4e2d\u4e86\u8fd9\u7c7b\u5e73\u53f0\u6700\u8106\u5f31\u7684\u795e\u7ecf\u3002\n <\/p>\n<p class=\"ai-content\">\n \u66f4\u503c\u5f97\u73a9\u5473\u7684\u662f\u5176\u5546\u4e1a\u6a21\u5f0f\u7684\u53cc\u8fb9\u5c5e\u6027\uff1a\u65e2\u9762\u5411\u7b97\u529b\u6d88\u8d39\u8005\uff08\u5f00\u53d1\u8005\uff09\uff0c\u4e5f\u9762\u5411\u7b97\u529b\u63d0\u4f9b\u8005\uff08\u95f2\u7f6eGPU\u6240\u6709\u8005\uff09\u3002\u8fd9\u79cd\u6a21\u5f0f\u80fd\u5426\u5f62\u6210\u98de\u8f6e\uff0c\u53d6\u51b3\u4e8e\u80fd\u5426\u5728\u65e9\u671f\u5efa\u7acb\u8db3\u591f\u5bc6\u96c6\u7684\u8282\u70b9\u7f51\u7edc\u4ee5\u63d0\u4f9b\u53ef\u9760\u4f53\u9a8c\u2014\u2014\u800c\u8fd9\u6b63\u662f\u6240\u6709\u53bb\u4e2d\u5fc3\u5316\u8ba1\u7b97\u9879\u76ee\u6298\u621f\u7684\u7ecf\u5178\u9677\u9631\u3002\u4ea7\u54c1\u82e5\u4ec5\u80fd\u5904\u7406\u201c\u95f4\u6b47\u6027ML\u5de5\u4f5c\u8d1f\u8f7d\u201d\u800c\u975e\u751f\u4ea7\u7ea7\u8bad\u7ec3\uff0c\u5176\u5e02\u573a\u5929\u82b1\u677f\u5c06\u975e\u5e38\u6709\u9650\u3002\n <\/p>\n<p class=\"ai-content\">\n \u8be5\u4ea7\u54c1\u7684\u51fa\u73b0\u53cd\u6620\u4e86AI\u6c11\u4e3b\u5316\u8fdb\u7a0b\u4e2d\u7684\u57fa\u7840\u8bbe\u65bd\u5206\u5c42\u8d8b\u52bf\uff0c\u4f46\u6700\u7ec8\u53ef\u80fd\u6f14\u53d8\u4e3a\u7279\u5b9a\u573a\u666f\u7684\u8865\u5145\u65b9\u6848\uff0c\u800c\u975e\u66ff\u4ee3\u73b0\u6709\u4e91\u670d\u52a1\u3002\u5176\u6210\u529f\u4e0e\u5426\uff0c\u5c06\u53d6\u51b3\u4e8e\u80fd\u5426\u5728\u201c\u53bb\u4e2d\u5fc3\u5316\u7684\u7075\u6d3b\u6027\u201d\u4e0e\u201c\u4f01\u4e1a\u7ea7\u7684\u53ef\u9760\u6027\u201d\u4e4b\u95f4\u627e\u5230\u90a3\u4e2a\u5fae\u5999\u7684\u5e73\u8861\u70b9\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\">Ocean Orchestrator <\/span>\n <\/div>\n<div class=\"comment-content\">Access GPUs worldwide directly from your IDE. Ocean Orchestrator lets you run AI training and inference jobs while paying only for the compute you use. Jobs run on GPUs like NVIDIA H200s across the Ocean Network Escrow-based payments protect both users (data scientists, developers) and node operators, releasing funds only after successful execution, bringing reliable, decentralized GPU compute to real workloads with transparent pricing, global availability, and verifiable job execution at scale<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey everyone\ud83c\udf0a<\/p>\n<p>We built Ocean Orchestrator to streamline the data scientist and developer workflow and help builders focus on what actually matters: building. Instead of spending time managing infrastructure, the goal was to make pro-grade compute feel as simple and accessible as running a git command.<\/p>\n<p>Since developers live inside their IDEs like Cursor, VS Code, Windsurf, or Antigravity, we felt that\u2019s exactly where compute should live too.<\/p>\n<p>At the same time, Orchestrator helps power a peer-to-peer network where people can put their GPUs to work, turning idle hardware into a real income source instead of something that just collects dust.<\/p>\n<p>Can\u2019t wait to hear your thoughts\ud83d\ude80<\/p><\/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=\"comment-item\">\n<div class=\"comment-content\">\n<p>Running AI jobs directly from your IDE without dealing with cloud setup could save a ton of friction for developers. How do you handle reliability when jobs are distributed across different nodes in the network?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Been testing the VS Code extension, and the workflow is surprisingly smooth. Being able to run GPU jobs directly from my editor without dealing with cloud dashboards is exactly what I needed for intermittent ML workloads. The pay-per-use model actually makes sense for experiments.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I’ve used this team’s data products before – everything worked perfectly. Now I’m starting to test Orchestrator. We’ll see how it goes.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Started experimenting with it yesterday, and I must say I really enjoy working with 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<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Embedding GPU access directly into the IDE where developers already work \u2014 Cursor, VS Code, Windsurf \u2014 rather than requiring a separate infrastructure dashboard is the right UX decision for making compute feel invisible rather than burdensome. The escrow-based payment system that only releases funds after verified job execution solves the trust problem that plagues most decentralized compute networks; how does Ocean Orchestrator handle job failures mid-execution on a node \u2014 does the escrow mechanism cover partial compute costs, or is the user only charged for successfully completed 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> If <strong>a node<\/strong> fails mid-job, you <strong>don\u2019t lose funds<\/strong> for unfinished work, and you stay in control of where jobs run.<\/p>\n<\/p>\n<p>Ocean Nodes handle failures locally. If a node goes down, the job can restart on the same node once it becomes available again. If you want to run it elsewhere, you can reroute it yourself, as compute resource selection stays fully in the user\u2019s hands.<\/p>\n<\/p>\n<p>However, if the failure is caused by the algorithm itself, the job is marked unsuccessful and you\u2019re only billed for the compute time that actually ran, not the full job window. You can read more details about the Ocean Network and Orchestrator in the FAQ <a href=\"https:\/\/oncompute.ai\/faq\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">here<\/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<\/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\/D4MUJWI7LTWIZJ\" class=\"app-title\">Kipps.AI Campaign<\/a><\/p>\n<div class=\"one-liner\">Lead Qualification, Bulk Outreach and Anniversary\u2019s Reminder<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">127<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Kipps.AI Campaigns \u662f\u4e00\u6b3eAI\u667a\u80fd\u4f53\u9a71\u52a8\u7684\u5168\u6e20\u9053\u5916\u8054\u6d3b\u52a8\u5e73\u53f0\uff0c\u4e3a\u9500\u552e\u548c\u5e02\u573a\u56e2\u961f\u89e3\u51b3\u4e86\u4ece\u591a\u6e20\u9053\u83b7\u5ba2\u5230\u540e\u7eed\u8ddf\u8fdb\u3001\u7ebf\u7d22\u7b5b\u9009\u53ca\u5ba2\u6237\u751f\u547d\u5468\u671f\u63d0\u9192\u5168\u6d41\u7a0b\u7e41\u7410\u4e14\u6613\u9057\u6f0f\u7684\u624b\u52a8\u64cd\u4f5c\u75db\u70b9\uff0c\u5b9e\u73b0\u4e86 outreach \u5de5\u4f5c\u7684\u81ea\u52a8\u5316\u4e0e\u667a\u80fd\u5316\u3002<\/div>\n<p> <!-- \u5a92\u4f53\u753b\u5eca\uff1a\u5305\u542b\u89c6\u9891\u548c\u591a\u5f20\u56fe\u7247 --><\/p>\n<div class=\"media-gallery\">\n<div class=\"media-item-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/6c9084cc-2dd6-424c-aa62-0cbd7428fa68.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\/bd04f26a-d276-4215-9d4e-af6fe102930e.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\/b46acda0-7b26-44e0-be71-e7f07db7d757.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\/9007e334-9832-4e64-9d11-ebae0737175a.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\/eeb8ac3c-19d7-44f9-9edb-163b762a4ee5.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\/b0abfcf9-98e5-47ff-95d9-d69b16a84fd2.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\/ca0d0d34-7b1c-4ea2-8b78-adeb72e532a2.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=AJ1Ln8x4uMY\"><source src=\"https:\/\/www.youtube.com\/watch?v=AJ1Ln8x4uMY\" 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\">Sales<\/span><br \/>\n <span class=\"tag\">Marketing<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u9500\u552e\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u667a\u80fd\u5916\u8054<\/span><br \/>\n <span class=\"tag\">\u7ebf\u7d22\u7b5b\u9009<\/span><br \/>\n <span class=\"tag\">\u5168\u6e20\u9053\u89e6\u8fbe<\/span><br \/>\n <span class=\"tag\">\u5ba2\u6237\u751f\u547d\u5468\u671f\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">AI\u8bed\u97f3\u52a9\u624b<\/span><br \/>\n <span class=\"tag\">WhatsApp\u8425\u9500<\/span><br \/>\n <span class=\"tag\">\u8425\u9500\u6d3b\u52a8\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u4e2d\u5c0f\u4f01\u4e1a\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\u53cd\u9988\u96c6\u4e2d\u4e8e\u4ea7\u54c1\u4ef7\u503c\uff08\u8282\u7701\u65f6\u95f4\uff09\u3001\u96c6\u6210\u4e0e\u591a\u573a\u666f\u4f18\u52bf\u3002\u4e3b\u8981\u95ee\u9898\u6d89\u53ca\u6cd5\u89c4\u5408\u89c4\u6027\uff08\u5982TCPA\/GDPR\uff09\u3001\u4e0e\u7ade\u54c1\u7684\u5dee\u5f02\u5316\uff08\u8f6c\u5316\u7387\u4e0eROI\uff09\u3001AI\u5904\u7406\u590d\u6742\u5bf9\u8bdd\u7684\u80fd\u529b\uff0c\u4ee5\u53ca\u89c4\u6a21\u5316\u540e\u7684\u6d3b\u52a8\u7ba1\u7406\u3002\u521b\u59cb\u4eba\u56de\u590d\u89e3\u91ca\u4e86AI\u5904\u7406\u8fb9\u754c\u3001\u6027\u80fd\u6570\u636e\uff08\u59822-4\u500d\u54cd\u5e94\u7387\u63d0\u5347\uff09\u548c\u5408\u89c4\u5904\u7406\u903b\u8f91\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 Kipps.AI Campaigns \u7684\u6838\u5fc3\u7406\u5ff5\u5e76\u975e\u7b80\u5355\u7684\u201c\u81ea\u52a8\u5316\u201d\uff0c\u800c\u662f\u8bd5\u56fe\u6210\u4e3a\u9500\u552e\u6f0f\u6597\u7684\u201c\u5168\u6808AI\u4ee3\u7406\u201d\u3002\u5176\u771f\u6b63\u4ef7\u503c\u5728\u4e8e\u5c06\u5206\u6563\u7684\u3001\u9ad8\u5ef6\u8fdf\u7684\u3001\u4f9d\u8d56\u4eba\u529b\u7684\u201c\u89e6\u70b9\u7ba1\u7406\u201d\u6574\u5408\u4e3a\u4e00\u4e2a\u7531AI\u9a71\u52a8\u7684\u3001\u53ef\u95ed\u73af\u7684\u201c\u6d41\u7a0b\u5f15\u64ce\u201d\u3002\u8fd9\u76f4\u6307\u4e2d\u5c0f\u4f01\u4e1a\u8425\u9500\u9500\u552e\u4e2d\u6700\u9690\u79d8\u7684\u635f\u8017\u70b9\uff1a\u7ebf\u7d22\u7684\u9759\u9ed8\u6d41\u5931\u3002\u4ea7\u54c1\u901a\u8fc7\u6574\u5408\u5e7f\u544a\u5e73\u53f0\u3001CRM\u548c\u8868\u683c\uff0c\u5e76\u8d4b\u4e88AI\u8bed\u97f3\u548cWhatsApp\u53cc\u901a\u9053\u4ea4\u4e92\u80fd\u529b\uff0c\u672c\u8d28\u4e0a\u662f\u5728\u6784\u5efa\u4e00\u4e2a\u5b9e\u65f6\u54cd\u5e94\u7684\u201c\u524d\u7aef\u63a5\u53e3\u201d\uff0c\u65e8\u5728\u5c06\u201c\u7ebf\u7d22\u201d\u8f6c\u5316\u4e3a\u201c\u5bf9\u8bdd\u201d\u7684\u65f6\u95f4\u538b\u7f29\u5230\u8fd1\u4e4e\u4e3a\u96f6\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u9762\u4e34\u7684\u6311\u6218\u4e0e\u673a\u9047\u540c\u6837\u5c16\u9510\u3002\u9996\u5148\uff0c\u5408\u89c4\u6027\u662f\u5176\u5546\u4e1a\u5316\u7684\u8fbe\u6469\u514b\u5229\u65af\u4e4b\u5251\uff0c\u5c24\u5176\u662f\u5728\u8bed\u97f3\u547c\u53eb\u65b9\u9762\u3002\u521b\u59cb\u4eba\u7684\u56de\u590d\u867d\u63d0\u53ca\u8bc4\u4f30\u903b\u8f91\uff0c\u4f46\u672a\u8be6\u8ff0\u5177\u4f53\u7684\u5408\u89c4\u6846\u67b6\uff08\u5982opt-in\u673a\u5236\uff09\uff0c\u8fd9\u5728\u76d1\u7ba1\u4e25\u683c\u5730\u533a\u662f\u91cd\u5927\u98ce\u9669\u70b9\u3002\u5176\u6b21\uff0c\u5176\u5ba3\u79f0\u7684\u201c\u5168\u573a\u666f\u201d\u4f18\u52bf\u53ef\u80fd\u6210\u4e3a\u53cc\u5203\u5251\u3002\u5728\u65e9\u671f\uff0c\u5b83\u9700\u8981\u8bc1\u660e\u81ea\u5df1\u5728\u4efb\u4e00\u5782\u76f4\u573a\u666f\uff08\u5982\u4fdd\u9669\u987e\u95ee\u7684\u7eed\u671f\u63d0\u9192\uff09\u7684\u6df1\u5ea6\u6548\u679c\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u5e7f\u5ea6\u96c6\u6210\u3002\u7528\u6237\u5173\u4e8e\u8f6c\u5316\u7387\u4e0eROI\u7684\u8d28\u7591\u6b63\u662f\u5bf9\u6b64\u7684\u53cd\u6620\u3002\u5c3d\u7ba1\u7ed9\u51fa\u4e862-4\u500d\u54cd\u5e94\u7387\u63d0\u5347\u7684\u6570\u636e\uff0c\u4f46\u8fd9\u66f4\u591a\u662f\u201c\u6548\u7387\u6307\u6807\u201d\uff0c\u800c\u975e\u6700\u7ec8\u7684\u201c\u6548\u76ca\u8bc1\u660e\u201d\u3002AI\u80fd\u5426\u771f\u6b63\u7406\u89e3\u590d\u6742\u4e1a\u52a1\u610f\u56fe\u3001\u8fdb\u884c\u9ad8\u8d28\u91cf\u9500\u552e\u5bf9\u8bdd\uff0c\u800c\u975e\u4ec5\u5b8c\u6210\u6807\u51c6\u5316\u95ee\u7b54\uff0c\u5c06\u662f\u51b3\u5b9a\u5176\u5929\u82b1\u677f\u7684\u5173\u952e\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u7684\u806a\u660e\u4e4b\u5904\u5728\u4e8e\u5d4c\u5165\u4e86\u201c\u751f\u547d\u5468\u671f\u63d0\u9192\u201d\u8fd9\u7c7b\u975e\u76f4\u63a5\u9500\u552e\u529f\u80fd\u3002\u8fd9\u4f7f\u5176\u4ece\u5355\u7eaf\u7684\u201c\u83b7\u5ba2\u5de5\u5177\u201d\u5411\u201c\u5ba2\u6237\u6210\u529f\u201d\u5de5\u5177\u5ef6\u4f38\uff0c\u589e\u52a0\u4e86\u7528\u6237\u7c98\u6027\u548c\u4f7f\u7528\u573a\u666f\u3002\u4f46\u8bc4\u8bba\u4e2d\u5173\u4e8e\u9644\u52a0\u4f18\u60e0\u5238\u7684\u5efa\u8bae\u4e5f\u66b4\u9732\u51fa\uff0c\u5176\u81ea\u52a8\u5316\u6d41\u7a0b\u7684\u4e2a\u6027\u5316\u4e0e\u8425\u9500\u7075\u6d3b\u6027\u4ecd\u6709\u6df1\u5316\u7a7a\u95f4\u3002\u603b\u4f53\u800c\u8a00\uff0c\u8fd9\u662f\u4e00\u6b3e\u601d\u8def\u6e05\u6670\u3001\u5207\u4e2d\u8981\u5bb3\u7684\u4ea7\u54c1\uff0c\u4f46\u5176\u6210\u529f\u4e0d\u53d6\u51b3\u4e8eAI\u6280\u672f\u7684\u70ab\u9177\uff0c\u800c\u53d6\u51b3\u4e8e\u5bf9\u9500\u552e\u6d41\u7a0b\u7684\u6df1\u5ea6\u7406\u89e3\u3001\u4e25\u683c\u7684\u5408\u89c4\u8bbe\u8ba1\uff0c\u4ee5\u53ca\u80fd\u4e3a\u5ba2\u6237\u8bc1\u5b9e\u7684\u3001\u8d85\u8d8a\u4eba\u529b\u64cd\u4f5c\u7684\u589e\u91cf\u6536\u76ca\u3002\u5b83\u4e0d\u662f\u5728\u66ff\u4ee3\u9500\u552e\uff0c\u800c\u662f\u5728\u91cd\u65b0\u5b9a\u4e49\u9500\u552e\u56e2\u961f\u7684\u201c\u65f6\u95f4\u5206\u914d\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\">Kipps.AI Campaign<\/span>\n <\/div>\n<div class=\"comment-content\">Kipps.AI Campaigns helps businesses run intelligent outreach campaigns powered by AI agents. Instead of manually managing emails, calls, WhatsApp messages, and follow-ups, Kipps AI automates the entire workflow. Create campaigns, upload leads, define goals, and let AI agents engage prospects, respond to queries, qualify leads, and schedule meetings automatically. Perfect for marketing teams, sales outreach, and customer engagement \u2014 all from one AI-powered platform.<\/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\u2019m Nishit, founder of <a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong>Kipps.AI<\/strong><\/a>, and today we\u2019re excited to launch <a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong>Kipps.AI<\/strong><\/a><strong> Campaigns<\/strong> \ud83d\ude80<\/p>\n<\/p>\n<h3>\ud83d\udca1 Why we built this<\/h3>\n<p>While building AI automation tools for small businesses, we kept seeing the same problem again and again.<\/p>\n<p>Businesses collect leads from <strong>ads, forms, CRMs, and spreadsheets<\/strong>, but most of those leads never get properly followed up.<\/p>\n<p>Sales teams are busy, follow-ups get delayed, and opportunities slip through the cracks.<\/p>\n<\/p>\n<p>Even simple things like:<br \/>\u2022 reminding customers about renewals<br \/>\u2022 sending anniversary or birthday greetings<br \/>\u2022 qualifying new leads<br \/>\u2022 or following up with ad leads<\/p>\n<p>Still requires <strong>manual work, spreadsheets, and multiple tools<\/strong>.<\/p>\n<p>We realised that <strong>AI agents could handle most of this automatically.<\/strong><\/p>\n<\/p>\n<h3>\ud83d\udea8 The Problem<\/h3>\n<p>Today\u2019s outreach and follow-up systems are fragmented.<\/p>\n<p>Businesses struggle with:<br \/>\u2022 Managing leads from multiple sources<br \/>\u2022 Following up with every contact at the right time<br \/>\u2022 Qualifying leads efficiently<br \/>\u2022 Tracking where a contact is in the funnel<br \/>\u2022 Managing communication across voice and messaging channels<\/p>\n<p>This results in <strong>lost leads, missed renewals, and poor customer engagement.<\/strong><\/p>\n<\/p>\n<h3>\ud83d\ude80 Introducing <a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Kipps.AI<\/a> Campaigns<\/h3>\n<p><a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Kipps.AI<\/a> Campaigns helps businesses <strong>automate outreach, follow-ups, and lead qualification using AI agents.<\/strong><\/p>\n<\/p>\n<p>You can run campaigns that automatically <strong>call or message contacts, qualify leads, and track their progress in your funnel.<\/strong><\/p>\n<\/p>\n<h3>\ud83d\udd27 What you can do with <a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Kipps.AI<\/a> Campaigns<\/h3>\n<\/p>\n<p>\u2705 <strong>Bulk Outreach & Lead Qualification<\/strong><br \/>Reach hundreds of contacts and automatically qualify them as <strong>Hot, Warm, or Cold<\/strong>.<\/p>\n<\/p>\n<p>\u2705 <strong>Multiple Contact Sources<\/strong><br \/>Import leads directly from:<br \/>\u2022 Google Sheets<br \/>\u2022 Google Ads \/ Meta Ads<br \/>\u2022 Your CRM<\/p>\n<\/p>\n<p>\u2705 <strong>Voice Agent + WhatsApp Agent<\/strong><br \/>Engage customers via <strong>automated AI calls or WhatsApp conversations.<\/strong><\/p>\n<\/p>\n<p>\u2705 <strong>Smart Campaign Scheduling<\/strong><br \/>Schedule campaigns for outreach, reminders, or follow-ups.<\/p>\n<\/p>\n<p>\u2705 <strong>Lifecycle Reminders<\/strong><br \/>Automatically call or message customers for:<br \/>\u2022 Renewal reminders<br \/>\u2022 Payment due reminders<br \/>\u2022 Birthdays & anniversaries<br \/>\u2022 Important customer events<\/p>\n<\/p>\n<p>\u2705 <strong>Contact Funnel Tracking<\/strong><br \/>Track exactly where each contact is in the pipeline and their current stage.<\/p>\n<\/p>\n<p>\u2705 <strong>Analytics & Reporting<\/strong><br \/>Get consolidated insights on campaign performance, responses, and conversions.<\/p>\n<\/p>\n<h3>\ud83c\udfaf Who this is for<\/h3>\n<p><a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Kipps.AI<\/a> Campaigns is especially useful for:<\/p>\n<p>\u2022 Insurance advisors<br \/>\u2022 Financial advisors<br \/>\u2022 Sales teams<br \/>\u2022 Agencies<br \/>\u2022 Businesses running ads and lead generation<\/p>\n<\/p>\n<p>Anyone who wants <strong>better follow-ups and higher lead conversion without manual effort.<\/strong><\/p>\n<\/p>\n<h3>\ud83c\udf81 Product Hunt Launch<\/h3>\n<p>To celebrate the launch, we’re offering <strong>special early access for the Product Hunt community.<\/strong><\/p>\n<p>If you work with <strong>leads, outreach, or reminders<\/strong>, we’d love for you to try it and share feedback.<\/p>\n<\/p>\n<h3>\ud83d\ude4f Thank you<\/h3>\n<\/p>\n<p>Huge thanks to the <strong>Product Hunt community<\/strong> for supporting builders and new products.<\/p>\n<p>I’ll be here all day answering questions and would love to hear your feedback!<\/p>\n<\/p>\n<p>Let\u2019s automate outreach with AI \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\/@nishit_chittora\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nishit_chittora<\/a> When an AI voice agent calls someone who didn’t explicitly opt in to automated calls, how do you handle compliance with regulations like TCPA in the US or GDPR in Europe?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 differentiates Kipps AI from other AI outreach tools in terms of conversion rate and real ROI for small teams?<\/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\/@satyam_singh47\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@satyam_singh47<\/a> All the other AI campaign tools focus on a single use-case, like outreach or Lead qualification or Reminders, also on a single medium like AI Voice or AI WhatsApp.<\/p>\n<\/p>\n<p>Also, there are limited options for importing contacts or leads. <\/p>\n<\/p>\n<p>At <a href=\"https:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Kipps.AI<\/a>, you can create AI campaigns of all types, such as Outreach, Lead Qualification, and Reminder.<\/p>\n<\/p>\n<p>With both AI Voice and WhatsApp. You also have a wide range of options for importing contacts or leads, along with a webhook option to dynamically add leads to a campaign.<\/p>\n<\/p>\n<p>Apart from its full-blown analytics section and Lead Management(Mini CRM \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>Congratulations on the launch \ud83c\udf89 \ud83c\udf89 !!<\/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\/@shubham_pratap\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@shubham_pratap<\/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 time saving feature<\/p>\n<p>Is what i hear all the time<\/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\/@aditi_mishra5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@aditi_mishra5<\/a> Cheers!<\/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>Combining lead import from Google Sheets, Google\/Meta Ads, and CRMs with automated qualification that categorizes contacts as Hot, Warm, or Cold across both voice and WhatsApp channels addresses the exact workflow gap where most small business leads die \u2014 the delay between capture and first meaningful follow-up. The lifecycle reminder system for renewals, payment dues, and anniversaries is a smart retention play that most outreach tools ignore entirely; how does the AI voice agent handle edge cases where a prospect asks something outside the campaign script \u2014 does it gracefully hand off to a human, or does it attempt to reason through the conversation?<\/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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> <br \/>How <a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Kipps.AI<\/a> Handles Edge Cases<\/p>\n<h3><\/h3>\n<p>Every user query is evaluated in real time:<\/p>\n<ul>\n<li>\n<p>Is it within campaign scope?<\/p>\n<\/li>\n<li>\n<p>Do we have enough knowledge\/context to answer?<\/p>\n<\/li>\n<li>\n<p>What\u2019s the confidence score?<\/p>\n<\/li>\n<\/ul>\n<p>Based on this, the system decides to follow the script or call functions like Forwarding, Human-in-loop or upfront in saying “Sorry, I don’t have an answer”.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>What kind of measurable lift in conversion or response rates have you seen compared to manual follow-ups?<\/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\/@abhishek_shukla21\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abhishek_shukla21<\/a> Great question \u2014 this was one of the first things we validated while building <a href=\"http:\/\/Kipps.AI\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Kipps.AI<\/a>.<\/p>\n<p>Across early users, we\u2019ve seen:<\/p>\n<ul>\n<li>\n<p><strong>2\u20134x increase in lead response rates<\/strong><br \/>(because responses are instant vs. delayed manual follow-ups)<\/p>\n<\/li>\n<li>\n<p><strong>30\u201360% improvement in lead-to-meeting conversion<\/strong><br \/>(AI qualifies intent and asks the right follow-up questions consistently)<\/p>\n<\/li>\n<li>\n<p><strong>~70% reduction in response time<\/strong><br \/>(from hours \u2192 seconds)<\/p>\n<\/li>\n<li>\n<p><strong>20\u201335% higher engagement on outreach campaigns<\/strong><br \/>(due to personalized, context-aware messaging)<\/p>\n<\/li>\n<\/ul>\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\">solid use case. lead generation and outreach tend to break down when tracking and follow ups aren\u2019t structured well. are you building anything around keeping campaigns organized as they scale<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>When sending out anniversary\/birthday greetings, are there opportunities to attach a coupon to it as well?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#10<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/MCFNIYQKZVMFKW\" class=\"app-title\">JusRecruit<\/a><\/p>\n<div class=\"one-liner\">AI ATS that handles phone screens + first-round interviews<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">126<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>JusRecruit\u662f\u4e00\u6b3eAI\u62db\u8058\u5e73\u53f0\uff0c\u901a\u8fc7AI\u81ea\u52a8\u8fdb\u884c\u7535\u8bdd\u7b5b\u9009\u548c\u521d\u8f6e\u7ed3\u6784\u5316\u9762\u8bd5\uff0c\u5e2e\u52a9\u5904\u7406\u6d77\u91cf\u7533\u8bf7\u7684\u9ad8\u589e\u957f\u4f01\u4e1a\u6216\u62db\u8058\u56e2\u961f\uff0c\u89e3\u51b3\u4e86\u62db\u8058\u521d\u671f\u7b5b\u9009\u8017\u65f6\u8d39\u529b\u3001\u6d41\u7a0b\u7f13\u6162\u7684\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 <img decoding=\"async\" src=\"https:\/\/ph-files.imgix.net\/bed6472c-1df1-479e-8e64-fb2d6b77de96.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\/7bd382bd-45c9-40cd-9853-56fba6a79211.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\/2a14cc84-2edf-4250-a50e-76b4b0fa5ce7.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\/ac6df3a4-d910-4e0b-9fd1-0b3ea6b5db4d.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\/2f25988a-677a-4d75-a4f7-9480a5759f90.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\/842d5f49-8f0f-419e-93d8-ac21ca549258.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/lroBDGkVnSY?si=GwV3L9hFDdmnXObM\"><source src=\"https:\/\/youtu.be\/lroBDGkVnSY?si=GwV3L9hFDdmnXObM\" 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\">Hiring<\/span><br \/>\n <span class=\"tag\">SaaS<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u62db\u8058<\/span><br \/>\n <span class=\"tag\">ATS\u7cfb\u7edf<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u7b5b\u9009<\/span><br \/>\n <span class=\"tag\">\u7535\u8bdd\u9762\u8bd5<\/span><br \/>\n <span class=\"tag\">\u62db\u8058\u6548\u7387<\/span><br \/>\n <span class=\"tag\">\u4eba\u624d\u62db\u8058\u8f6f\u4ef6<\/span><br \/>\n <span class=\"tag\">\u62db\u8058\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u7ed3\u6784\u5316\u9762\u8bd5<\/span><br \/>\n <span class=\"tag\">\u62db\u8058\u6d41\u7a0b\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u62db\u8058SaaS<\/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\u62db\u8058\u7b5b\u9009\u74f6\u9888\u7684\u7cbe\u51c6\u5b9a\u4f4d\u3002\u4e3b\u8981\u95ee\u9898\u4e0e\u5efa\u8bae\u96c6\u4e2d\u5728\uff1aAI\u9762\u8bd5\u7684\u8bef\u7b5b\u98ce\u9669\u3001\u5019\u9009\u4eba\u4f53\u9a8c\u662f\u5426\u51b0\u51b7\u3001\u5bf9\u975e\u6807\u7b54\u6848\u7684\u5904\u7406\u80fd\u529b\uff0c\u4ee5\u53ca\u957f\u671f\u4f7f\u7528\u4e0b\u7684\u5de5\u4f5c\u6d41\u6574\u6d01\u5ea6\u7ba1\u7406\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 JusRecruit\u7cbe\u51c6\u5730\u523a\u5411\u4e86\u73b0\u4ee3\u62db\u8058\u4e2d\u6700\u201c\u810f\u7d2f\u201d\u5374\u4ef7\u503c\u5bc6\u5ea6\u6700\u4f4e\u7684\u73af\u8282\u2014\u2014\u6d77\u91cf\u7b80\u5386\u540e\u7684\u9996\u8f6e\u7b5b\u9009\u3002\u5176\u5ba3\u79f0\u7684\u4ef7\u503c\u5e76\u975e\u7b80\u5355\u7684\u201cAI\u9762\u8bd5\u5b98\u201d\u5671\u5934\uff0c\u800c\u5728\u4e8e\u5c06\u975e\u7ed3\u6784\u5316\u7684\u3001\u91cd\u590d\u7684\u4eba\u529b\u52b3\u52a8\uff08\u7535\u8bdd\u521d\u7b5b\uff09\u8f6c\u5316\u4e3a\u53ef\u89c4\u6a21\u5316\u3001\u53ef\u5206\u6790\u7684\u7ed3\u6784\u5316\u6570\u636e\u6d41\u3002\u8fd9\u624d\u662f\u5176\u771f\u6b63\u7684\u201cATS\u201d\u5185\u6838\u5347\u7ea7\uff1a\u4ece\u8bb0\u5f55\u7ed3\u679c\u7684\u7cfb\u7edf\uff0c\u53d8\u4e3a\u751f\u6210\u6807\u51c6\u5316\u521d\u7b5b\u6570\u636e\u7684\u5f15\u64ce\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u806a\u660e\u5730\u9009\u62e9\u4e86\u201c\u8f85\u52a9\u201d\u800c\u975e\u201c\u66ff\u4ee3\u201d\u7684\u53d9\u4e8b\uff0c\u5f3a\u8c03AI\u8d1f\u8d23\u201c\u8868\u9762\u4fe1\u53f7\u201d\uff0c\u4eba\u7c7b\u4fdd\u7559\u6700\u7ec8\u5224\u65ad\uff0c\u8fd9\u5de7\u5999\u5730\u89c4\u907f\u4e86\u81ea\u52a8\u5316\u51b3\u7b56\u7684\u4f26\u7406\u4e89\u8bae\u4e0e\u51c6\u786e\u6027\u8d28\u7591\u3002\u7136\u800c\uff0c\u8fd9\u6070\u6070\u4e5f\u662f\u5176\u5546\u4e1a\u6a21\u5f0f\u7684\u6f5c\u5728\u98ce\u9669\u70b9\uff1a\u5b83\u672c\u8d28\u4e0a\u662f\u5728\u9500\u552e\u201c\u65f6\u95f4\u201d\u548c\u201c\u7b5b\u9009\u6548\u7387\u201d\uff0c\u5176\u4ef7\u503c\u9ad8\u5ea6\u4f9d\u8d56\u4e8e\u7b97\u6cd5\u7b5b\u9009\u7684\u7cbe\u51c6\u5ea6\u4e0e\u5019\u9009\u4eba\u63a5\u53d7\u5ea6\u4e4b\u95f4\u7684\u5fae\u5999\u5e73\u8861\u3002\u8bc4\u8bba\u4e2d\u5173\u4e8e\u201c\u5019\u9009\u4eba\u4f53\u9a8c\u201d\u548c\u201c\u8bef\u7b5b\u201d\u7684\u62c5\u5fe7\uff0c\u76f4\u6307\u5176\u89c4\u6a21\u5316\u5e94\u7528\u7684\u6838\u5fc3\u6311\u6218\u2014\u2014\u5f53AI\u7b5b\u9009\u6210\u4e3a\u5e38\u6001\uff0c\u4f01\u4e1a\u662f\u5426\u4f1a\u56e0\u6548\u7387\u63d0\u5347\u800c\u727a\u7272\u65e9\u671f\u96c7\u4e3b\u54c1\u724c\u5efa\u8bbe\uff1f\u90a3\u4e9b\u4e0d\u5584\u4e8e\u5728\u6807\u51c6\u5316AI\u9762\u8bd5\u4e2d\u8868\u73b0\u3001\u5374\u6781\u5177\u6f5c\u529b\u7684\u4eba\u624d\uff0c\u662f\u5426\u4f1a\u88ab\u7cfb\u7edf\u6027\u9519\u8fc7\uff1f\n <\/p>\n<p class=\"ai-content\">\n \u5b83\u7684\u672a\u6765\u4e0d\u5728\u4e8e\u6210\u4e3a\u5168\u77e5\u5168\u80fd\u7684\u62db\u8058AI\uff0c\u800c\u5728\u4e8e\u80fd\u5426\u6df1\u5ea6\u878d\u5165\u62db\u8058\u5de5\u4f5c\u6d41\uff0c\u6210\u4e3a\u53ef\u4fe1\u8d56\u7684\u201c\u7b2c\u4e00\u5c42\u8fc7\u6ee4\u7f51\u201d\u3002\u5176\u6210\u529f\u7684\u5173\u952e\u6307\u6807\u5c06\u4e0d\u4ec5\u662f\u201c\u8282\u770120\u5c0f\u65f6\u201d\uff0c\u66f4\u662f\u201c\u4f18\u8d28\u5019\u9009\u4eba\u6f0f\u7b5b\u7387\u201d\u548c\u201c\u5019\u9009\u4eba\u5b8c\u8bfe\u7387\u4e0e\u6ee1\u610f\u5ea6\u201d\u3002\u5728\u62db\u8058\u8fd9\u4e2a\u6781\u5ea6\u4f9d\u8d56\u4eba\u9645\u611f\u77e5\u7684\u9886\u57df\uff0cJusRecruit\u7684\u7ec8\u6781\u8003\u9a8c\u662f\uff1a\u80fd\u5426\u8ba9\u673a\u5668\u505a\u7684\u201c\u7c97\u6d3b\u201d\u8db3\u591f\u806a\u660e\uff0c\u4ece\u800c\u771f\u6b63\u91ca\u653e\u4eba\u7c7b\u53bb\u4ece\u4e8b\u66f4\u6709\u4ef7\u503c\u7684\u201c\u7ec6\u6d3b\u201d\u2014\u2014\u5373\u90a3\u4e9b\u9700\u8981\u5171\u60c5\u3001\u8bf4\u670d\u548c\u6218\u7565\u5224\u65ad\u7684\u6df1\u5ea6\u6c9f\u901a\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\">JusRecruit<\/span>\n <\/div>\n<div class=\"comment-content\">Cut time-to-hire by 10 to 15 days with AI that handles your first hiring bottleneck. JusRecruit phone-screens every inbound applicant, runs structured AI interviews, and surfaces only qualified candidates. Teams skip low-signal first rounds, free up ~20 recruiter hours per role, and move faster without sacrificing fairness or quality.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\ud83d\udc4b Hi Product Hunt!<\/p>\n<p>I’m excited to introduce JusRecruit to the community today.<\/p>\n<p>Hiring teams today are overwhelmed with inbound applications. Recruiters often spend hours screening resumes, scheduling calls, and manually filtering candidates before they even reach the interview stage.<\/p>\n<p>We built JusRecruit to solve exactly this.<\/p>\n<p>JusRecruit is an AI-powered recruiting platform designed for high-volume hiring teams. It helps companies automatically screen applicants through AI phone interviews, run structured AI interviews, manage pipelines, and identify the best candidates faster.<\/p>\n<p>Our goal is simple:<br \/>\nHelp recruiters reduce time-to-hire by 10-15 days and save ~20 hours of manual screening per role.<\/p>\n<p>JusRecruit is especially useful for:<br \/>\n\u2022 Recruiting agencies<br \/>\n\u2022 Companies hiring at scale<br \/>\n\u2022 Teams receiving hundreds of applicants per role<\/p>\n<p>Instead of spending hours screening candidates manually, recruiters can focus on engaging with the right candidates faster.<\/p>\n<p>We\u2019ve spent months building and refining this product and would genuinely love your feedback.<\/p>\n<p>If you\u2019re in recruiting or hiring, we\u2019d love to know:<br \/>\n\ud83d\udc49 What is the most time-consuming part of your hiring process today?<\/p>\n<p>Thanks so much for checking out JusRecruit \ud83d\ude4c<\/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>Hiring is broken at the screening stage, too many applicants, too little time, and recruiters burning hours on calls that go nowhere.<\/p>\n<p>JusRecruit fixes exactly that. Post a job, and “Saina” our AI interviewer takes over the phone screens and first-round interviews automatically. You wake up to a ranked shortlist of candidates who are actually qualified.<\/p>\n<p>What makes it stand out is that it’s not just an AI interviewer, it’s a full recruiting stack. The built-in ATS lets you track every candidate, move them through stages, and plug in assessments, all in one place. No switching between five tools.<\/p>\n<p>For any team tired of slow, messy hiring, this is worth trying.<\/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>Really interesting, especially focus on removing the bottleneck at the screening stage.<\/p>\n<p>Curious how you’re thinking about false positives early on.<\/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\/@edgeghost\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@edgeghost<\/a> False positives are definitely something we think about carefully, especially at the screening stage.<\/p>\n<p>Our approach is to use AI mainly to structure and surface signals, not to make irreversible decisions. Recruiters can still review the full responses, transcripts, and evaluation signals before deciding whether a candidate should move forward.<\/p>\n<p>The goal is to significantly reduce the manual screening workload while keeping the recruiter in control of the final judgment. That helps minimise the risk of strong candidates getting filtered out too early.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 actually a pretty real problem tbh. when the number of applicants gets high, just reaching the actually good candidates takes so much time and energy. i like that this is focused on that part and not trying to do 20 random things.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>2<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@nayan_surya98\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nayan_surya98<\/a> Exactly. When applicant volume increases, a lot of recruiter time gets spent just trying to identify the few candidates who are actually worth moving forward.<\/p>\n<p>That\u2019s the specific problem we wanted to focus on. Instead of trying to solve every part of hiring, JusRecruit is designed to handle the initial screening layer, so recruiters can reach the most relevant candidates much faster.<\/p>\n<p>Keeping the scope tight was a deliberate decision.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Phone screening was always the fastest way to filter candidates, but also where the first connection happened. Some people simply prefer talking to a human \u2014 it is how trust starts. Have you seen any pushback from candidates on the AI-led screening, or does the speed trade-off make up for 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@klara_minarikova\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@klara_minarikova<\/a> That\u2019s a great point. Phone screening has always been both a filtering step and a way to start that first human connection.<\/p>\n<p>What we\u2019ve seen so far is that most candidates actually appreciate the speed and flexibility. Instead of waiting days for a recruiter call, they can complete the screening immediately and move forward faster in the process.<\/p>\n<p>We\u2019re also careful about positioning it clearly to candidates. It\u2019s not meant to replace human interaction in the entire hiring journey. It simply handles the initial screening so recruiters can spend more time having meaningful conversations with the most relevant candidates later in the process.<\/p>\n<p>That balance between efficiency and human connection is something we\u2019re paying close attention to as we continue improving the product.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love the recruiter side of this. Building on the candidate side with <a href=\"http:\/\/JobsUncle.ai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">JobsUncle.ai<\/a> would love to chat about where these intersect.<\/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\/@michael_matassa\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@michael_matassa<\/a> Appreciate that, thanks. <a href=\"http:\/\/JobsUncle.ai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">JobsUncle.ai<\/a> sounds interesting, especially if you’re focusing on the candidate side of the journey.<\/p>\n<p>There\u2019s definitely a lot of opportunity where candidate experience and recruiter efficiency intersect. Would love to learn more about what you\u2019re building and explore where there might be overlap.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Automating phone screens and first-round interviews with AI targets the exact stage of the hiring funnel where the most recruiter time gets burned on candidates who won’t advance \u2014 handling that initial qualification layer frees up human recruiters to focus on the nuanced later-stage conversations where judgment actually matters. The key question for any AI-driven interview tool is candidate experience; how do candidates typically react to the AI interviewer compared to a human phone screen \u2014 do you see differences in completion rates or candidate satisfaction scores between the two formats?<\/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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> That\u2019s exactly the problem we\u2019re trying to solve. A large portion of recruiter time gets spent on early screening that often doesn\u2019t move candidates forward.<\/p>\n<p>On the candidate side, what we\u2019re seeing so far is that most candidates appreciate the speed and flexibility. Instead of waiting days for a recruiter to schedule a call, they can complete the screening when it\u2019s convenient for them and move ahead in the process faster.<\/p>\n<p>Completion rates have been quite strong, especially when the expectations are clearly communicated upfront. Candidates generally respond well when they understand that this step helps accelerate their application rather than delay it.<\/p>\n<p>We also see this as a complement to human interaction rather than a replacement. The goal is to automate the initial qualification layer so recruiters can spend more time on meaningful conversations with shortlisted candidates.<\/p>\n<p>Candidate experience is definitely something we\u2019re closely tracking and continuously improving as we scale.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>\ud83d\udc4b Hey Product Hunt!<\/p>\n<\/p>\n<p>I’m Nawal, and I’ve been obsessed with one problem for the past year: <strong>why does hiring still feel like it’s stuck in 2005?<\/strong><\/p>\n<\/p>\n<p>Watching recruiters drown in spreadsheets, manually dialing candidates, and copy-pasting the same screening questions over and over – it felt like a solvable problem. So we built <strong>JusRecruit<\/strong>.<\/p>\n<\/p>\n<p>JusRecruit is an <strong>AI-powered recruiting ATS platform<\/strong> for high-volume hiring teams. It runs AI phone screenings, conducts structured interviews, and surfaces your best candidates – automatically. The outcome we’re laser-focused on: cutting 10\u201315 days off time-to-hire and saving recruiters ~20 hours of manual work per role.<\/p>\n<\/p>\n<p>We’ve been deep in the weeds on this – talking to recruiting agencies, in-house TA teams, and high-growth companies hiring hundreds of people at once. Every conversation reinforced the same pain: <strong>screening is broken at scale.<\/strong><\/p>\n<\/p>\n<p>This is our answer to that.<\/p>\n<p>If you’re in recruiting, talent acquisition, or just someone who’s been on the receiving end of a chaotic hiring process – I’d genuinely love your take.<\/p>\n<\/p>\n<p>\ud83d\udc49 What’s the most painful, soul-crushing part of your hiring process right now?<\/p>\n<\/p>\n<p>Every response shapes what we build next. Thanks for being here \ud83d\ude4c<\/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>Interesting approach to cutting hiring bottlenecks \u2014 phone screens are one of the most time-consuming parts of the process. How does the AI handle edge cases where candidates give unexpected or creative answers?<\/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\/@fairpay\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fairpay<\/a> Great question. In early screening, most questions are designed to capture structured signals like experience, skills, availability, compensation expectations, or problem-solving approach.<\/p>\n<p>When candidates give unexpected or creative answers, the system doesn\u2019t try to force a rigid interpretation. The responses are transcribed and analyzed for key signals, but recruiters can always review the full response and context.<\/p>\n<p>In many cases those \u201cunexpected\u201d answers are actually useful, because they reveal how a candidate thinks or communicates. The AI helps surface those responses efficiently, while the final judgment still stays with the recruiter.<\/p>\n<p>So the goal is not to over-automate decision making, but to make it much faster for recruiters to review and identify promising candidates.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Thrilled to launch JusRecruit here today! \ud83d\ude4c<\/p>\n<p>Recruiters told us the same thing over and over: too many CVs, too little time, and first-round calls eating up the entire week.<\/p>\n<p>With JusRecruit, your pipeline moves on autopilot. Every candidate gets a structured AI interview the moment they apply. You get a shortlist with consistent, comparable insights, so you can focus on closing, not filtering.<\/p>\n<p>Less screening. Better hires. Faster. That’s what we built. <\/p>\n<p>Built by people who’ve lived the hiring bottlenecks firsthand, we’d love for you to try it and tell us what you think!<\/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\">interesting direction. hiring systems usually get cluttered quickly with candidate data and stages. how are you keeping the workflow clean and easy to manage over time<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>AI interviews can feel robotic and cause a high-potential prospect to lose interest in a company. Are there ways to avoid this when using an AI interviewer?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">#11<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/PUKKSNV5ZLSZD2\" class=\"app-title\">dropadoo<\/a><\/p>\n<div class=\"one-liner\">Send files to predefined Emails via drag and drop<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">119<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>\u4e00\u6b3e\u901a\u8fc7\u62d6\u62fd\u6587\u4ef6\u5373\u53ef\u53d1\u9001\u81f3\u9884\u8bbe\u90ae\u7bb1\u7684MacOS\u5de5\u5177\uff0c\u4e13\u4e3a\u9700\u8981\u9891\u7e41\u5411\u7279\u5b9a\u90ae\u7bb1\u6216\u534f\u4f5c\u5e73\u53f0\uff08\u5982Asana\u3001Jira\u3001Notion\u7b49\uff09\u63d0\u4ea4\u6587\u4ef6\u7684\u573a\u666f\u8bbe\u8ba1\uff0c\u6781\u5927\u7b80\u5316\u4e86\u6587\u4ef6\u4f20\u8f93\u6d41\u7a0b\uff0c\u89e3\u51b3\u4e86\u624b\u52a8\u9009\u62e9\u6536\u4ef6\u4eba\u3001\u4e0a\u4f20\u9644\u4ef6\u7684\u91cd\u590d\u6027\u64cd\u4f5c\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\/46116d7f-26e4-4258-9d0a-116eabf9cebc.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\/9a8d4c38-be9e-45bd-b2d4-f7cd2a346cb4.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\/7a527921-abf0-43a7-b1ff-998c8b601601.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\/5adae56e-17da-40bf-911c-3454f359c52e.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\">Email<\/span><br \/>\n <span class=\"tag\">Productivity<\/span><br \/>\n <span class=\"tag\">User Experience<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u6587\u4ef6\u4f20\u8f93\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u6548\u7387\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">MacOS\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u62d6\u62fd\u64cd\u4f5c<\/span><br \/>\n <span class=\"tag\">SMTP\u5ba2\u6237\u7aef<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41<\/span><br \/>\n <span class=\"tag\">\u5355\u529f\u80fd\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u8fb9\u7f18\u573a\u666f\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u514d\u8d39\u5de5\u5177<\/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\u8d5e\u8d4f\u5176\u529f\u80fd\u5355\u4e00\u4e13\u6ce8\u3001\u8282\u7701\u65f6\u95f4\u3001\u8bbe\u8ba1\u7cbe\u7f8e\u4e14\u514d\u8d39\u3002\u4e3b\u8981\u53cd\u9988\u5305\u62ec\uff1a\u5efa\u8bae\u7ed5\u8fc7\u5e94\u7528\u5546\u5e97\u63d0\u4f9b\u76f4\u63a5\u4e0b\u8f7d\u4ee5\u89c4\u907f\u8d39\u7528\uff08\u5f00\u53d1\u8005\u56de\u5e94\u65e0\u5fc5\u8981\uff09\uff1b\u8be2\u95ee\u662f\u5426\u652f\u6301\u5b9a\u65f6\u53d1\u9001\uff1b\u6709\u7528\u6237\u8054\u60f3\u5230\u53ef\u6269\u5c55\u4e3a\u201c\u7a0d\u540e\u8bfb\/\u505a\u201d\u6876\uff0c\u5e76\u597d\u5947\u5f00\u53d1\u8005\u80cc\u666f\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 Dropadoo\u662f\u4e00\u6b3e\u5178\u578b\u7684\u201c\u5355\u70b9\u7a81\u7834\u201d\u5f0f\u6548\u7387\u5de5\u5177\uff0c\u5176\u771f\u6b63\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u6280\u672f\u9769\u65b0\uff0c\u800c\u5728\u4e8e\u5bf9\u4e00\u79cd\u9ad8\u9891\u4f46\u88ab\u5ffd\u89c6\u7684\u201c\u8fb9\u7f18\u573a\u666f\u201d\u7684\u7cbe\u51c6\u6355\u6349\u548c\u6781\u81f4\u7b80\u5316\u3002\u5b83\u5c06\u201c\u53d1\u9001\u6587\u4ef6\u5230\u6307\u5b9a\u90ae\u7bb1\u201d\u8fd9\u4e00\u52a8\u4f5c\u62bd\u8c61\u4e3a\u6700\u539f\u59cb\u7684\u62d6\u62fd\u64cd\u4f5c\uff0c\u6df1\u5ea6\u5d4c\u5165\u4ee5\u90ae\u7bb1\u4e3a\u901a\u7528\u63a5\u53e3\u7684SaaS\u751f\u6001\uff08\u5982Jira\u3001Notion\uff09\uff0c\u5b9e\u9645\u4e0a\u6210\u4e3a\u4e86\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u3001\u65e0\u611f\u77e5\u7684\u6587\u4ef6\u8def\u7531\u67a2\u7ebd\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u903b\u8f91\u7280\u5229\u5730\u907f\u5f00\u4e86\u201c\u5927\u800c\u5168\u201d\u7684\u4e91\u5b58\u50a8\u6216\u534f\u4f5c\u5e73\u53f0\u7ade\u4e89\uff0c\u8f6c\u800c\u5145\u5f53\u5b83\u4eec\u4e4b\u95f4\u7684\u201c\u7c98\u5408\u5242\u201d\u6216\u201c\u89e6\u53d1\u5668\u201d\u3002\u5176\u96c6\u6210\u81ea\u8eabSMTP\u5ba2\u6237\u7aef\u7684\u505a\u6cd5\uff0c\u5728\u786e\u4fdd\u9690\u79c1\u548c\u5b89\u5168\u53ef\u63a7\u7684\u540c\u65f6\uff0c\u4e5f\u5de7\u5999\u5730\u7ed5\u8fc7\u4e86\u7cfb\u7edf\u90ae\u4ef6\u5ba2\u6237\u7aef\u7684\u81c3\u80bf\u548c\u5ef6\u8fdf\u3002\u8fd9\u4e00\u5b9a\u4f4d\u4f7f\u5176\u7528\u6237\u753b\u50cf\u6781\u4e3a\u6e05\u6670\uff1a\u662f\u90a3\u4e9b\u5de5\u4f5c\u6d41\u4e25\u91cd\u4f9d\u8d56\u591a\u4e2a\u5e73\u53f0\u3001\u4e14\u9891\u7e41\u9700\u8981\u63d0\u4ea4\u6587\u4ef6\uff08\u5982\u65e5\u5fd7\u3001\u62a5\u544a\u3001\u7d20\u6750\uff09\u7684\u5f00\u53d1\u8005\u3001\u9879\u76ee\u7ecf\u7406\u6216\u5185\u5bb9\u521b\u4f5c\u8005\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u201c\u5355\u4e00\u529f\u80fd\u201d\u65e2\u662f\u62a4\u57ce\u6cb3\u4e5f\u662f\u5929\u82b1\u677f\u3002\u8bc4\u8bba\u4e2d\u5173\u4e8e\u201c\u5b9a\u65f6\u53d1\u9001\u201d\u548c\u201c\u590d\u5236\u6587\u672c\/\u94fe\u63a5\u201d\u7684\u5efa\u8bae\uff0c\u5df2\u66b4\u9732\u51fa\u7528\u6237\u5bf9\u201c\u81ea\u52a8\u5316\u201d\u548c\u201c\u4fe1\u606f\u7c7b\u578b\u201d\u7684\u5ef6\u4f38\u9700\u6c42\u3002\u4ea7\u54c1\u76ee\u524d\u66f4\u50cf\u4e00\u4e2a\u7cbe\u5de7\u7684\u7cfb\u7edf\u7ea7\u5feb\u6377\u952e\uff0c\u5176\u957f\u671f\u4ef7\u503c\u53d6\u51b3\u4e8e\u80fd\u5426\u5728\u4fdd\u6301\u6838\u5fc3\u4f53\u9a8c\u6781\u5ea6\u7b80\u6d01\u7684\u524d\u63d0\u4e0b\uff0c\u4ee5\u63d2\u4ef6\u5316\u6216\u914d\u7f6e\u5316\u65b9\u5f0f\uff0c\u4f18\u96c5\u5730\u8986\u76d6\u66f4\u591a\u76f8\u90bb\u7684\u201c\u5355\u70b9\u201d\u573a\u666f\uff08\u5982\u683c\u5f0f\u5316\u6587\u672c\u3001\u7b80\u5355\u5904\u7406\uff09\uff0c\u6216\u5f00\u653eAPI\u6210\u4e3a\u81ea\u52a8\u5316\u94fe\u6761\u4e2d\u7684\u4e00\u73af\u3002\u5426\u5219\uff0c\u5b83\u53ef\u80fd\u6c38\u8fdc\u505c\u7559\u5728\u201c\u5c0f\u800c\u7f8e\u201d\u7684\u5229\u57fa\u5de5\u5177\u8303\u7574\uff0c\u6613\u88ab\u96c6\u6210\u5ea6\u66f4\u9ad8\u7684\u5e73\u53f0\u66f4\u65b0\u6240\u8986\u76d6\u3002\u5f00\u53d1\u8005\u5bf9\u201c\u7ed5\u8fc7App Store\u201d\u5efa\u8bae\u7684\u51b7\u6de1\u56de\u5e94\uff0c\u4e5f\u6298\u5c04\u51fa\u6b64\u7c7b\u5de5\u5177\u5728\u589e\u957f\u4e0e\u5546\u4e1a\u6a21\u5f0f\u4e0a\u7684\u666e\u904d\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\">dropadoo<\/span>\n <\/div>\n<div class=\"comment-content\">Dropadoo does exactly one thing and it does it perfectly: Send files to predefined Emails via drag and drop. Think about platforms that accept email receipt… worktlows with: Asana, Box, ClickUp, Cloud-Storage, Dropbox, GitHub, Google Drive, HubSpot, IFTTT applets, Jira, Mantis,Notion,Trello, Zapier, Zoho, to name a few.. With its integrated SMTP client (your credentials) and a small set of options, files can be sent as quick as somehow thinkable. \/\/ Dropw without further ado – dropadoo \/\/<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Personal project, beautiful, witty app that saves so much time. Reddit loves it so far.<br \/>\nWorking on MacOS, free, no in-app peruchases, hand coded, stable and yes… this is the definition of an edge-case app.<br \/>\nThen again, if it fits your workflow, you will love it.<\/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>Great idea! You should build a website that allows users to bypass the Apple App Store fees, enabling them to download your DMG directly without incurring those charges.<\/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\/@vincentpruv\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@vincentpruv<\/a> the app is free, so i don’t see a benefit in that.<br \/>what i do opt in is notaized and signed. peopel are lazy, no privayc settings tweaking needed with dropadoo.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 how it does one thing and commits to it fully. Most tools try to do everything \u2014 this is refreshing. Does it support scheduled sending?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey Oliver. This looks very interesting. I had almost the same idea a while ago. The only difference being that I wanted the ability to copy and paste links or text as well. Basically using it as my read\/do later bucket… \ud83d\ude09 But I’m no developer, so this idea was just rotting on some list. Happy to see that somebody did that! Good luck with it!<\/p>\n<p>By the way. Are you the guy behind Pitchable?<\/p>\n<\/p>\n<p>Cheers<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">#12<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/S5BSY7I3T5AJWI\" class=\"app-title\">Folderly<\/a><\/p>\n<div class=\"one-liner\">Get revenue from every email campaign with 99.9% inbox rate<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">115<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Folderly\u662f\u4e00\u6b3eAI\u9a71\u52a8\u7684\u90ae\u4ef6\u9001\u8fbe\u7387\u5e73\u53f0\uff0c\u901a\u8fc7\u4e3a\u56e2\u961f\u8bbe\u8ba1\u7684\u7edf\u4e00\u770b\u677f\uff0c\u5b9e\u65f6\u76d1\u63a7\u3001\u6d4b\u8bd5\u5e76\u4fee\u590d\u5783\u573e\u90ae\u4ef6\u95ee\u9898\uff0c\u89e3\u51b3\u4f01\u4e1a\u5728\u89c4\u6a21\u5316\u5916\u53d1\u90ae\u4ef6\u65f6\u56e0\u90ae\u7bb1\u6570\u91cf\u6fc0\u589e\u800c\u5bfc\u81f4\u7684\u9001\u8fbe\u7387\u7ba1\u7406\u6df7\u4e71\u548c\u6548\u7387\u4f4e\u4e0b\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 <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/90af9168-0575-4faa-918c-8ffd906e937b.gif?auto=format\" data-video-url=\"https:\/\/www.loom.com\/share\/46e239a737c943d08a77853bcfa4f748\"><source src=\"https:\/\/www.loom.com\/share\/46e239a737c943d08a77853bcfa4f748\" 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\/e8299976-523b-48a0-8a47-32233eb62341.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\/b0f686f4-01b8-4838-b609-d8f05ae0bac0.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\/82bd255d-9490-4d8e-a427-4d44372e9e69.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\/c0fc1d8e-1587-4c04-b29a-764fd4c866c2.jpeg?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Sales<\/span><br \/>\n <span class=\"tag\">Email Marketing<\/span><br \/>\n <span class=\"tag\">SaaS<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u90ae\u4ef6\u9001\u8fbe\u7387<\/span><br \/>\n <span class=\"tag\">AI\u9a71\u52a8<\/span><br \/>\n <span class=\"tag\">\u56e2\u961f\u534f\u4f5c<\/span><br \/>\n <span class=\"tag\">\u6536\u4ef6\u7bb1\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u53cd\u5783\u573e\u90ae\u4ef6<\/span><br \/>\n <span class=\"tag\">\u7ee9\u6548\u770b\u677f<\/span><br \/>\n <span class=\"tag\">\u4efb\u52a1\u4f18\u5148\u7ea7<\/span><br \/>\n <span class=\"tag\">SaaS<\/span><br \/>\n <span class=\"tag\">B2B\u8425\u9500<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u76d1\u63a7<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u80af\u5b9a\u4ea7\u54c1\u89e3\u51b3\u4e86\u591a\u90ae\u7bb1\u7ba1\u7406\u6df7\u4e71\u7684\u75db\u70b9\uff0c\u8ba4\u4e3a\u4efb\u52a1\u4f18\u5148\u7ea7\u529f\u80fd\u5b9e\u7528\u3002\u6838\u5fc3\u7591\u95ee\u5305\u62ec\uff1a\u662f\u5426\u6307\u5bfc\u4f55\u65f6\u653e\u5f03\u5e76\u91cd\u5efa\u90ae\u7bb1\u3001\u5982\u4f55\u5b9e\u65f6\u9002\u5e94ESP\u7b97\u6cd5\u53d8\u5316\u3002\u5efa\u8bae\u5c06\u4e3b\u9875\u6807\u8bed\u66f4\u5177\u4f53\u5730\u6307\u5411\u201c\u7ba1\u7406\u591a\u90ae\u7bb1\u201d\u8fd9\u4e00\u6838\u5fc3\u573a\u666f\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 Folderly\u7684\u5ba3\u79f0\u76f4\u51fb\u8981\u5bb3\u2014\u2014\u201c\u4ece\u6bcf\u4e2a\u90ae\u4ef6\u6d3b\u52a8\u4e2d\u83b7\u5f97\u6536\u5165\u201d\uff0c\u4f46\u5176\u771f\u6b63\u4ef7\u503c\u5e76\u975e\u7b80\u5355\u7684\u201c99.9%\u6536\u4ef6\u7bb1\u9001\u8fbe\u7387\u201d\u627f\u8bfa\uff0c\u800c\u5728\u4e8e\u5c06\u201c\u90ae\u4ef6\u9001\u8fbe\u7387\u201d\u8fd9\u4e00\u4f20\u7edf\u4e0a\u9ed1\u7bb1\u3001\u88ab\u52a8\u3001\u4f9d\u8d56\u4e13\u5bb6\u7ecf\u9a8c\u7684\u8fd0\u7ef4\u95ee\u9898\uff0c\u8f6c\u5316\u4e3a\u4e00\u4e2a\u53ef\u91cf\u5316\u3001\u53ef\u4f18\u5148\u5904\u7406\u3001\u53ef\u56e2\u961f\u534f\u4f5c\u7684\u6807\u51c6\u5316\u8fd0\u8425\u6d41\u7a0b\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u4ece\u201c\u5355\u70b9\u5de5\u5177\u201d\u5347\u7ea7\u4e3a\u201c\u56e2\u961f\u770b\u677f\u201d\uff0c\u5176\u6df1\u5c42\u903b\u8f91\u662f\u5e94\u5bf9\u4f01\u4e1a\u89c4\u6a21\u5316\u589e\u957f\u65f6\u7684\u201c\u8fd0\u7ef4\u590d\u6742\u5ea6\u6307\u6570\u7206\u70b8\u201d\u95ee\u9898\u3002\u5f53\u90ae\u7bb1\u4ece5\u4e2a\u589e\u81f330\u4e2a\uff0c\u624b\u52a8\u68c0\u67e5\u4e0d\u4ec5\u4f4e\u6548\uff0c\u66f4\u5173\u952e\u7684\u662f\u65e0\u6cd5\u7cfb\u7edf\u6027\u53d1\u73b0\u548c\u6392\u5e8f\u95ee\u9898\u3002Folderly\u7684\u65b0\u770b\u677f\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u201c\u90ae\u4ef6\u57fa\u7840\u8bbe\u65bd\u7684\u96c6\u4e2d\u544a\u8b66\u4e0e\u5de5\u5355\u7cfb\u7edf\u201d\uff0c\u5b83\u901a\u8fc7\u5065\u5eb7\u8bc4\u5206\u548c\u4efb\u52a1\u6807\u8bb0\uff0c\u5c06\u6a21\u7cca\u7684\u201c\u9001\u8fbe\u7387\u611f\u89c9\u201d\u8f6c\u53d8\u4e3a\u660e\u786e\u7684\u5f85\u529e\u4e8b\u9879\uff0c\u5176\u6838\u5fc3\u4ef7\u503c\u662f**\u5c06\u4e0d\u53ef\u89c1\u7684\u98ce\u9669\u8f6c\u5316\u4e3a\u53ef\u89c1\u3001\u53ef\u7ba1\u7406\u7684\u52a8\u4f5c**\uff0c\u4ece\u800c\u8ba9\u8425\u9500\u548c\u9500\u552e\u56e2\u961f\u4ece\u88ab\u52a8\u7684\u201c\u6551\u706b\u961f\u5458\u201d\u56de\u5f52\u5230\u4e3b\u52a8\u7684\u6218\u5f79\u6267\u884c\u8005\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7528\u6237\u8bc4\u8bba\u63ed\u793a\u4e86\u66f4\u6df1\u523b\u7684\u884c\u4e1a\u75db\u70b9\uff1a\u5e02\u573a\u4e0a\u5145\u65a5\u7740\u524d\u7aef\u7f8e\u89c2\u4f46\u540e\u7aef\u7528\u201c\u4eba\u5de5\u519c\u573a\u201d\u548c\u65e0\u6548\u79cd\u5b50\u5217\u8868\u5806\u780c\u6570\u636e\u7684\u5de5\u5177\u3002Folderly\u56e2\u961f\uff08Belkins\uff09\u7684\u80cc\u666f\u6697\u793a\u5176\u62e5\u6709\u624e\u5b9e\u7684\u5e95\u5c42\u57fa\u7840\u8bbe\u65bd\uff0c\u8fd9\u6216\u8bb8\u662f\u5b9e\u73b0\u771f\u6b63\u6709\u6548\u90ae\u7bb1\u201c\u70ed\u8eab\u201d\u548c\u5b9e\u65f6\u76d1\u63a7\u7684\u6280\u672f\u58c1\u5792\u3002\u8fd9\u6307\u5411\u4e86\u8be5\u9886\u57df\u4e00\u4e2a\u5173\u952e\u7ade\u4e89\u7ef4\u5ea6\uff1a**\u4fe1\u4efb\u4e0e\u771f\u5b9e\u6027**\u3002\u5728\u5145\u65a5\u7740\u6570\u636e\u865a\u8363\u6307\u6807\u7684\u65f6\u4ee3\uff0c\u80fd\u63d0\u4f9b\u771f\u5b9e\u3001\u53ef\u884c\u52a8\u7684\u540e\u7aef\u6d1e\u5bdf\uff0c\u672c\u8eab\u5c31\u662f\u4e00\u79cd\u7a00\u7f3a\u4ef7\u503c\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u6311\u6218\u4f9d\u7136\u5b58\u5728\u3002\u5176\u4ef7\u503c\u9ad8\u5ea6\u4f9d\u8d56\u4e8e\u5bf9Gmail\u3001Outlook\u7b49\u4e3b\u6d41\u90ae\u7bb1\u670d\u52a1\u5546\u8fc7\u6ee4\u7b97\u6cd5\u53d8\u5316\u7684\u5b9e\u65f6\u6355\u6349\u4e0e\u89e3\u8bfb\uff0c\u8fd9\u662f\u4e00\u4e2a\u6301\u7eed\u7684\u6280\u672f\u519b\u5907\u7ade\u8d5b\u3002\u6b64\u5916\uff0c\u4ea7\u54c1\u9700\u8b66\u60d5\u4ece\u201c\u4e13\u4e1a\u5de5\u5177\u201d\u6ed1\u5411\u201c\u901a\u7528\u770b\u677f\u201d\u7684\u9677\u9631\uff0c\u5fc5\u987b\u5728\u6df1\u5ea6\u4e0e\u6613\u7528\u6027\u4e4b\u95f4\u4fdd\u6301\u5e73\u8861\u3002\u603b\u4f53\u800c\u8a00\uff0cFolderly\u7684\u8fed\u4ee3\u65b9\u5411\u6b63\u786e\uff0c\u5b83\u6b63\u8bd5\u56fe\u5c06\u7535\u5b50\u90ae\u4ef6\u4ece\u4e00\u79cd\u201c\u8425\u9500\u6e20\u9053\u201d\u91cd\u65b0\u5b9a\u4e49\u4e3a\u9700\u8981\u7cbe\u7ec6\u8fd0\u7ef4\u7684\u201c\u5173\u952e\u4e1a\u52a1\u57fa\u7840\u8bbe\u65bd\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\">Folderly<\/span>\n <\/div>\n<div class=\"comment-content\">Folderly is an AI-powered email deliverability platform that monitors, tests, and fixes spam issues – so your emails actually reach inboxes. What’s new: a dashboard built for teams. Before, you had to check each mailbox one by one. Now you get: \u2022 Account-level health score across all mailboxes \u2022 Every inbox scored in one view \u2022 Task system that flags what’s critical vs. what can wait One screen. Full visibility. Built for teams sending at scale.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Hunters \ud83d\udc4b<\/p>\n<p>The brutal truth about scaling outbound: more mailboxes = more chaos.<\/p>\n<p>We watched teams go from 5 inboxes to 30 and drown in tabs. Checking deliverability one mailbox at a time? That’s not a system. That’s a full-time job.<\/p>\n<p>So we rebuilt the dashboard from scratch.<\/p>\n<p>What it was: Click into each mailbox. Check the score. Repeat 30 times. Miss the one that’s actually on fire.<br \/>\nWhat it is now: One screen. Every mailbox scored. Critical issues flagged. You open it, you know exactly what needs fixing.<\/p>\n<p>The overlooked game-changer? Task prioritization.<\/p>\n<p>Our new dashboard tells you what’s critical vs. what can wait – so you fix what actually impacts deliverability.<\/p>\n<p>Built for teams sending at scale.<\/p>\n<p>If you’re managing 10+ mailboxes and still checking them one by one – this is for you.<\/p>\n<p>Your move. Check it out and see the difference.<\/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>I used to use your email spam checker tools a lot \ud83d\ude42 Glad to see you here! Good luck today<\/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\/@steffen_rehmann\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@steffen_rehmann<\/a> Steffen, you’re one of the reasons we kept building! Curious – are you still deep in email, or has your stack evolved? Either way, so glad you’re here today!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Does Folderly tell me when an email is beyond help and make recommendations on when to create a new one? Especially since creating a new one requires time to “warm up”.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Although there are many tools that do warm-up of your emails and furthermore sequencing tools are building this functionality up inside their products, their layouts might look great, but what’s happening on the backend, are those warm-ups actually work? I know for a fact that lots of other tools are using people farms on the backend and pre-built seed lists that eventually won’t give you any results except of nice numbers of the dashboard. Folderly is different, I know <a href=\"https:\/\/www.producthunt.com\/@belkins\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"belkins\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@belkins<\/a> and <a href=\"https:\/\/www.producthunt.com\/@anastasiia_ivannikov\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"anastasiia_ivannikov\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@anastasiia_ivannikov<\/a> have built huge back-end which is not something you want to highlight as it’s not very markety, but oh my god it works. Kudos to Folderly team! Great product! <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@michael_maximoff\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@michael_maximoff<\/a> Michael, you just said out loud what the whole industry avoids talking about \ud83d\udc4f<\/p>\n<p>Means a lot coming from you. 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>this is actually very relatable. once the number of mailboxes starts growing, things get messy real fast and checking each one manually is just painful. the task prioritization part sounds way more useful than people might think.<\/p>\n<p>curious, what was the biggest thing teams were missing before this rebuild, actual deliverability issues or just not knowing where to look first?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@nayan_surya98\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nayan_surya98<\/a> Both – but the root cause was always not knowing where to look first.<\/p>\n<p>The deliverability issues were there. They just weren’t visible until something broke badly enough to notice. Most teams were reacting, not monitoring. By then, campaigns were already burned.<\/p>\n<p>Task prioritization sounds like a UX feature. It’s actually an ops feature – it’s what stops a 30-mailbox setup from requiring a full-time person to babysit it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Interesting launch, <a href=\"https:\/\/www.producthunt.com\/@belkins\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"belkins\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@belkins<\/a>. The chaos from managing many mailboxes is real.<\/p>\n<p>One thought while checking the homepage. Your PH story explains the pain perfectly: <strong>teams drowning in 30 inbox tabs. <\/strong>But the hero section says “<strong>Email deliverability starts here<\/strong>,” which I think feels broad.<\/p>\n<p>Something like “<strong>Manage 30 Outbound Mailboxes from One Dashboard<\/strong>” might hit the pain faster. Curious if you tested something like that.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@taimur_haider1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@taimur_haider1<\/a> Taimur, appreciate your feedback. Actually that does make a lot of sense, thanks for sharing the perspective <\/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>Promising 99.9% inbox delivery rate tackles the single biggest invisible problem in outbound sales \u2014 teams scale mailboxes and campaigns without realizing a growing percentage of their emails are silently landing in spam, making the entire investment in copy, targeting, and sequencing worthless. The challenge with email deliverability is that it’s a moving target as ESP algorithms constantly evolve; how does Folderly’s approach adapt when providers like Google or Microsoft change their filtering criteria \u2014 is there continuous monitoring that detects deliverability drops in real time, or is it more of a periodic audit 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> Great question!<\/p>\n<p>The changes are continuous, for sure. Folderly monitors deliverability signals in real time across mailboxes, so when Google or Microsoft shifts filtering behavior, we detect the drop before it becomes a pattern. <\/p>\n<\/p>\n<p>Periodic audits tell you what already broke. We flag it while it’s happening.<\/p>\n<\/p>\n<p>The infrastructure underneath is what makes this possible.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n<article class=\"app-card\">\n<div class=\"app-header\">\n<div class=\"rank\">#13<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/V36XVCXLFDYGYF\" class=\"app-title\">Agen<\/a><\/p>\n<div class=\"one-liner\">Fully Autonomous AI Coding Agents<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">111<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>Agen\u662f\u4e00\u6b3e\u5168\u81ea\u4e3bAI\u7f16\u7a0b\u4ee3\u7406\uff0c\u901a\u8fc7\u5728\u4e91\u7aef\u81ea\u52a8\u5904\u7406\u4ece\u4efb\u52a1\u63cf\u8ff0\u5230\u5b8c\u6210\u4ee3\u7801\u7684\u6574\u4e2a\u6d41\u7a0b\uff0c\u89e3\u51b3\u4e86\u5f00\u53d1\u8005\u5728\u591a\u4ed3\u5e93\u534f\u4f5c\u3001\u6301\u7eed\u96c6\u6210\u7ba1\u9053\u4fee\u590d\u53ca\u79fb\u52a8\u529e\u516c\u573a\u666f\u4e0b\u7684\u6548\u7387\u74f6\u9888\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\/d0eae9f8-187c-4ea1-a97a-803a2afc8fa9.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\/f750d7bf-e466-4e25-8b5d-790051ee6461.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\/d287a084-7c7d-4b81-b44a-03a3b44b3fe2.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\/3adee7ee-70db-40a6-ad1a-881a4e56b523.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\/55e16d90-c47e-45bb-80d7-6210c9e04e11.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\/8d3789aa-b441-48bd-ae9b-884f02697978.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\/74ed0cba-273e-43ef-82a9-3845db84a238.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\/95f2d942-72f8-4116-a2c8-50389ec50ba3.jpeg?auto=format\" data-video-url=\"https:\/\/youtu.be\/Gdkvf6sGX1w\"><source src=\"https:\/\/youtu.be\/Gdkvf6sGX1w\" 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\">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\">AI\u7f16\u7a0b\u4ee3\u7406<\/span><br \/>\n <span class=\"tag\">\u4e91\u7aef\u5f00\u53d1<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u7f16\u7a0b<\/span><br \/>\n <span class=\"tag\">\u591a\u4ed3\u5e93\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u81ea\u4e3b\u4fee\u590d<\/span><br \/>\n <span class=\"tag\">\u534f\u4f5c\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u6548\u7387<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7801\u5b89\u5168<\/span><br \/>\n <span class=\"tag\">\u79fb\u52a8\u7f16\u7a0b<\/span><br \/>\n <span class=\"tag\">\u8f6f\u4ef6\u5f00\u53d1<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u4e3b\u8981\u8bc4\u8bba\u6765\u81ea\u521b\u59cb\u4eba\uff0c\u9610\u8ff0\u4e86\u4ea7\u54c1\u8bbe\u8ba1\u7406\u5ff5\u4e0e\u6838\u5fc3\u4f18\u52bf\uff1a\u5168\u81ea\u4e3b\u3001\u4e91\u7aef\u8fd0\u884c\u3001\u81ea\u52a8\u4fee\u590d\u7ba1\u9053\u3001\u591a\u4ed3\u5e93\u652f\u6301\u7b49\u3002\u53e6\u4e00\u6761\u4e3a\u7b80\u77ed\u795d\u8d3a\u3002\u672a\u53d1\u73b0\u6765\u81ea\u771f\u5b9e\u7528\u6237\u7684\u6279\u8bc4\u6216\u5177\u4f53\u529f\u80fd\u5efa\u8bae\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n Agen\u5c06\u5f53\u524d\u4e3b\u6d41\u7684\u201c\u526f\u9a7e\u9a76\u201d\u5f0fAI\u7f16\u7a0b\u5de5\u5177\uff0c\u63a8\u5411\u201c\u81ea\u4e3b\u4ee3\u7406\u201d\u7684\u65b0\u9636\u6bb5\uff0c\u5176\u4ef7\u503c\u6838\u5fc3\u5728\u4e8e\u8bd5\u56fe\u5c06\u4eba\u7c7b\u4ece\u5177\u4f53\u7684\u4ee3\u7801\u5b9e\u65bd\u4e0e\u7ba1\u9053\u7ef4\u62a4\u5faa\u73af\u4e2d\u5265\u79bb\u51fa\u6765\u3002\u4ea7\u54c1\u5f3a\u8c03\u7684\u201c\u4e91\u7aef\u4f18\u5148\u201d\u3001\u201c\u81ea\u4fee\u590d\u7ba1\u9053\u201d\u3001\u201c\u591a\u4ed3\u5e93\u4f1a\u8bdd\u201d\u76f4\u51fb\u73b0\u6709AI\u7f16\u7801\u5de5\u5177\u7684\u4e09\u5927\u8f6f\u808b\uff1a\u5bf9\u672c\u5730\u73af\u5883\u7684\u4f9d\u8d56\u3001\u65e0\u6cd5\u95ed\u73af\u5904\u7406\u96c6\u6210\u9519\u8bef\u3001\u4ee5\u53ca\u4efb\u52a1\u8303\u56f4\u5c40\u9650\u4e8e\u5355\u4ed3\u5e93\u3002\u8fd9\u672c\u8d28\u4e0a\u662f\u5bf9\u8f6f\u4ef6\u5f00\u53d1\u5de5\u4f5c\u6d41\u7684\u4e00\u6b21\u91cd\u6784\u5c1d\u8bd5\uff0c\u8ba9AI\u8d1f\u8d23\u9ad8\u91cd\u590d\u6027\u3001\u9ad8\u786e\u5b9a\u6027\u7684\u5b9e\u65bd\u4e0e\u8fd0\u7ef4\u73af\u8282\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u5ba3\u79f0\u7684\u201c\u5b8c\u5168\u81ea\u4e3b\u201d\u9762\u4e34\u4e25\u5cfb\u8003\u9a8c\u3002\u771f\u6b63\u7684\u74f6\u9888\u5e76\u975e\u6280\u672f\u73af\u5883\uff0c\u800c\u5728\u4e8eAI\u5bf9\u590d\u6742\u3001\u6a21\u7cca\u4e1a\u52a1\u903b\u8f91\u7684\u7406\u89e3\u80fd\u529b\uff0c\u4ee5\u53ca\u8de8\u7cfb\u7edf\u8bbe\u8ba1\u51b3\u7b56\u7684\u53ef\u9760\u6027\u3002\u5728\u590d\u6742\u4efb\u52a1\u4e2d\uff0c\u201c\u6700\u5c0f\u5316\u4eba\u5de5\u6307\u5bfc\u201d\u53ef\u80fd\u8fc5\u901f\u6f14\u53d8\u4e3a\u201c\u9891\u7e41\u7684\u4eba\u5de5\u4fee\u6b63\u4e0e\u4e0a\u4e0b\u6587\u8865\u5145\u201d\u3002\u5f53\u524d\u7684\u9ad8\u8d5e\u8bc4\u8bba\u5b9e\u4e3a\u4ea7\u54c1\u81ea\u8ff0\uff0c\u7f3a\u4e4f\u771f\u5b9e\u7528\u6237\u7684\u9a8c\u8bc1\uff0c\u5176\u5b9e\u9645\u6548\u80fd\u3001\u5728\u590d\u6742\u4f01\u4e1a\u4ee3\u7801\u5e93\u4e2d\u7684\u8868\u73b0\u3001\u4ee5\u53ca\u53ef\u80fd\u5f15\u5165\u7684\u5b89\u5168\u4e0e\u67b6\u6784\u6df7\u4e71\u98ce\u9669\uff0c\u4ecd\u6709\u5f85\u89c2\u5bdf\u3002\u5b83\u66f4\u50cf\u4e00\u4e2a\u9762\u5411\u672a\u6765\u7684\u6fc0\u8fdb\u5ba3\u8a00\uff0c\u5176\u6210\u8d25\u5c06\u53d6\u51b3\u4e8eAI\u5728\u4ee3\u7801\u201c\u610f\u56fe\u7406\u89e3\u201d\u4e0e\u201c\u7cfb\u7edf\u601d\u7ef4\u201d\u4e0a\u80fd\u5426\u53d6\u5f97\u8d28\u53d8\uff0c\u800c\u975e\u4ec5\u4ec5\u63d0\u4f9b\u66f4\u6d41\u7545\u7684\u81ea\u52a8\u5316\u6267\u884c\u73af\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\">Agen<\/span>\n <\/div>\n<div class=\"comment-content\">Autonomous AI coding agents that take software tasks from prompt to finished code. Agents run in the cloud, and work on the tasks autonomously, across multiple repositories.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Finally, a Fully Autonomous AI Coding Agent \ud83d\ude80 .<\/p>\n<p>TLDR:<\/p>\n<ul>\n<li>\n<p>yes, Agen is already building itself at this point \ud83e\udd29<\/p>\n<\/li>\n<li>\n<p>runs in the cloud, doesn\u2019t need local installation<\/p>\n<\/li>\n<li>\n<p>automatically fixes your pipelines<\/p>\n<\/li>\n<li>\n<p>delivers a fully working code!<\/p>\n<\/li>\n<li>\n<p>as a ProductHunt user, you can try Agen for free, and get $20 Credits on sign up<\/p>\n<\/li>\n<\/ul>\n<p>AI already changed a lot the way we code, but it didn\u2019t really change the way we work and think about the code. For the biggest part, we have the same processes and workflows, the biggest difference being the fact that an AI model writes the code for you.<\/p>\n<p>We built Agen as the coding agent for the future, with the goal to help the teams build faster, better, and importantly, secure code.<\/p>\n<p>Here are the principles that are driving us, and which are the foundations of what we\u2019ve built so far and the many things we plan to build in the future, keep reading to see what this means for you and your company.<\/p>\n<p>\ud83d\ude80 Fully Autonomous AI Coding Agents – our goal is to make sure that the agents are being able to do the work independently, with minimum human guidance. We noticed that the biggest bottleneck are the humans right now, because the agents still need quite a lot of guidance, starting from the environment they run it, and ending with the work they do. Continue reading to see what we\u2019re doing to fix this.<\/p>\n<p>\u2601\ufe0f Cloud-First: this is the first step to have autonomous agents, they need an environment to run in, and right now, if you close your machine, your agent stops working. By making the agents cloud-first, we make sure that they always have a place to run in, and that they\u2019re not blocked by humans when they need to do the work. For you and your company this means that the agents will do meaningful work 24\/7 and help you move faster.<\/p>\n<p>\ud83e\uddd1\u200d\ud83d\udd27 Self-healing pipelines – this is the next step, and something that the agents are blocked by when they make changes to the codebase pretty often. Usually, a developer has to tell the agent that the pipeline failed, why it failed, and ask them to fix it, or they use the MCP (if the version control system they use has one), but it\u2019s still happening manually, on user request. Our agents are monitoring the failed pipelines and fixing them automatically, with zero human involvement. This results in a huge amount of time saved – time that can be spent on more meaningful work.<\/p>\n<\/p>\n<p>\ud83d\udcc6 Scheduled Agents – they’re running on your schedule, and they’re doing autonomous work in the cloud, without human supervision – all you have to do is check and merge the code.<\/p>\n<\/p>\n<p>\ud83e\udebe Multi-repository support – one of the biggest issues with the autonomous coding agents is that they’re tied to a specific repository, and they can’t make changes to multiple repositories for a task, usually you have to start new agents if your task involves making changes to multiple repositories. We built Agen to work flawlessly with multiple repositories, it will automatically choose the right repository to change, and it’s able to make changes and open MRs in multiple repositories within the same session.<\/p>\n<p>\ud83d\udcbb Multi-session environment – one more blocker for real autonomous work, and the only way to have multiple sessions with the current agent is to create multiple copies of your repositories, and run them in different terminals, but that\u2019s time consuming, and not efficient at all, especially when it comes to cleaning them up, creating them again, etc., All our Agents are doing the work within a session, which gets an isolated sandbox, it\u2019s own branch, MR, etc. For you, as a developer, it\u2019s important to be able to run multiple tasks at the same time, the work is not linear, and being able to run multiple sessions is a huge productivity boost.<\/p>\n<p>\ud83d\udcf1 Mobile-friendly – you know that message you\u2019re getting from your boss about a bug when you don\u2019t have the computer with you? It\u2019s happened to all of us, and it\u2019s stressful \ud83d\ude23 . We optimized our web app and made it mobile friendly so that you can make changes wherever you are, and whenever you have to.<\/p>\n<p>\ud83e\uddd1\u200d\ud83d\udcbb\ud83d\udc69\u200d\ud83d\udcbb Built for meaningful collaboration, with per-repository access, and granular permissions, that resemble how the teams usually work. Each person can be given access to specific repositories, and they can have different roles for each repository. This keeps your codebase confidential and secure.<\/p>\n<p>\u2705 See your pipelines & merge straight from the session, without having to switch tabs. You\u2019ll see a green indicator when all the pipelines pass, so that you know that the work is completely finished. The next step is to actually merge the code, and you can do it without leaving Agen, straight from the session page.<\/p>\n<\/p>\n<p>\ud83d\udd10 Security – the Agents are making changes on your codebases in new, secured and protected sandboxes for every session. The sandboxes are destroyed once the Agent has finished the work, together with your code and any traces of it.<\/p>\n<\/p>\n<p>\u23ed\ufe0f What’s coming next: integrations, more autonomy<\/p>\n<p>Your feedback means a lot – please leave a comment and tell us what is the biggest blocker you\u2019re having when using AI tools for coding, and what would you like to improve in your workflows.<\/p>\n<p>Thank you for reading so far!<\/p>\n<p>Daniel, Co-Founder \ud83d\udc4b<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>7<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congratulations Daniel, really excellent product and 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<\/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\/DBAH3CCNOT7LJZ\" class=\"app-title\">ClickSay<\/a><\/p>\n<div class=\"one-liner\">Click any element and ClickSay instantly captures it<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">108<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>\u4e00\u6b3e\u901a\u8fc7\u70b9\u51fb\u7f51\u9875\u5143\u7d20\u81ea\u52a8\u6355\u83b7\u5176\u6280\u672f\u7ec6\u8282\u5e76\u751f\u6210\u7ed3\u6784\u5316\u63d0\u793a\u8bcd\u7684\u5de5\u5177\uff0c\u89e3\u51b3\u4e86\u5f00\u53d1\u8005\u5728\u5411AI\u7f16\u7a0b\u52a9\u624b\u63cf\u8ff0UI\u5143\u7d20\u65f6\u6548\u7387\u4f4e\u4e0b\u3001\u63cf\u8ff0\u4e0d\u51c6\u786e\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\/f9e57a5a-7df4-4486-b28f-1ca776617891.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\/93ff7384-8212-498f-bd12-1c99f9ee3a38.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\/659fa1ab-1759-465d-a04b-3274b7964af2.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\/ac6d3d83-5b3b-4137-b639-13e23a41db23.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\/76b38647-fde2-477b-8022-2b9efc4058ec.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\/dfe27400-8800-402f-93f6-651b70c531a2.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\/6181db21-58ce-4ff7-bbe5-072c5da38bd7.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=tKwnMl-tB20\"><source src=\"https:\/\/www.youtube.com\/watch?v=tKwnMl-tB20\" 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\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Vibe coding<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u7f16\u7a0b\u52a9\u624b<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8005\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u6d4f\u89c8\u5668\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">\u524d\u7aef\u8c03\u8bd5<\/span><br \/>\n <span class=\"tag\">UI\u4fee\u590d<\/span><br \/>\n <span class=\"tag\">\u751f\u4ea7\u529b\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u4eba\u673a\u4ea4\u4e92<\/span><br \/>\n <span class=\"tag\">\u63d0\u793a\u5de5\u7a0b<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7801\u751f\u6210<\/span><br \/>\n <span class=\"tag\">\u7f51\u9875\u5f00\u53d1<\/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\u4e3a\u4ea7\u54c1\u7cbe\u51c6\u89e3\u51b3\u4e86\u5411AI\u63cf\u8ff0UI\u5143\u7d20\u7684\u75db\u70b9\uff0c\u6781\u5927\u63d0\u5347\u4e86\u6548\u7387\u3002\u521b\u59cb\u4eba\u56de\u590d\u8bc1\u5b9e\u5176\u9002\u7528\u4e8e\u4ece\u65b0\u624b\u5230\u8bbe\u8ba1\u5e08\u7684\u5e7f\u6cdb\u7528\u6237\u3002\u6709\u7528\u6237\u8be2\u95ee\u4e3b\u8981\u7528\u6237\u7fa4\u4f53\uff0c\u4ea6\u6709\u7528\u6237\u611f\u53f9\u5176\u5f7b\u5e95\u6539\u53d8\u4e86\u5de5\u4f5c\u4e60\u60ef\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 ClickSay \u8868\u9762\u4e0a\u662f\u4e00\u4e2a\u4e3aAI\u7f16\u7a0b\u52a9\u624b\u63d0\u4f9b\u4e0a\u4e0b\u6587\u7684\u201c\u7ffb\u8bd1\u201d\u5de5\u5177\uff0c\u4f46\u5176\u6df1\u5c42\u4ef7\u503c\u5728\u4e8e\uff0c\u5b83\u6b63\u5728\u8bd5\u56fe\u5f25\u5408\u201c\u76f4\u89c9\u5316\u524d\u7aef\u64cd\u4f5c\u201d\u4e0e\u201c\u7ed3\u6784\u5316\u4ee3\u7801\u4fee\u6539\u201d\u4e4b\u95f4\u6700\u540e\u7684\u8ba4\u77e5\u9e3f\u6c9f\u3002\u4ea7\u54c1\u806a\u660e\u5730\u907f\u5f00\u4e86\u4e0e\u4e3b\u6d41AI\u4ee3\u7801\u5de5\u5177\u5728\u4ee3\u7801\u751f\u6210\u80fd\u529b\u4e0a\u7684\u6b63\u9762\u7ade\u4e89\uff0c\u8f6c\u800c\u805a\u7126\u4e8e\u4e00\u4e2a\u88ab\u5ffd\u89c6\u4f46\u81f3\u5173\u91cd\u8981\u7684\u524d\u7f6e\u73af\u8282\uff1a\u7cbe\u51c6\u7684\u95ee\u9898\u5b9a\u4f4d\u4e0e\u4e0a\u4e0b\u6587\u4f20\u9012\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5176\u771f\u6b63\u7684\u98a0\u8986\u6027\u5728\u4e8e\uff0c\u5b83\u901a\u8fc7\u6280\u672f\u624b\u6bb5\uff08\u6355\u83b7CSS\u9009\u62e9\u5668\u3001\u8ba1\u7b97\u6837\u5f0f\u3001\u7ec4\u4ef6\u540d\uff09\u5c06\u4eba\u7c7b\u6a21\u7cca\u7684\u7a7a\u95f4\u4e0e\u89c6\u89c9\u63cf\u8ff0\uff08\u201c\u90a3\u4e2a\u5706\u89d2\u6309\u94ae\u201d\uff09\u8f6c\u5316\u4e3aAI\u53ef\u7cbe\u51c6\u8bc6\u522b\u7684\u673a\u5668\u8bed\u8a00\u3002\u8fd9\u4e0d\u4ec5\u63d0\u5347\u4e86\u5355\u6b21\u4ea4\u4e92\u7684\u6210\u529f\u7387\uff0c\u66f4\u5173\u952e\u7684\u662f\uff0c\u5b83\u901a\u8fc7\u201cSweep Mode\u201d\u7b49\u529f\u80fd\uff0c\u5c06\u96f6\u6563\u7684UI\u4fee\u6539\u9700\u6c42\u6279\u91cf\u5316\u548c\u7ed3\u6784\u5316\uff0c\u5b9e\u8d28\u4e0a\u662f\u5728\u91cd\u6784\u524d\u7aef\u8c03\u8bd5\u7684\u5de5\u4f5c\u6d41\u3002\u521b\u59cb\u4eba\u58f0\u79f0\u7684\u201c\u808c\u8089\u8bb0\u5fc6\u201d\u548c\u201c\u884c\u4e3a\u6539\u53d8\u201d\uff0c\u6307\u5411\u4e86\u5de5\u5177\u6f14\u5316\u7684\u9ad8\u7ea7\u9636\u6bb5\u2014\u2014\u4ece\u201c\u6709\u7528\u201d\u5230\u201c\u4e0d\u53ef\u6216\u7f3a\u201d\uff0c\u6700\u7ec8\u6210\u4e3a\u7528\u6237\u601d\u7ef4\u6a21\u578b\u7684\u4e00\u90e8\u5206\u3002\n <\/p>\n<p class=\"ai-content\">\n \u98ce\u9669\u4e0e\u6311\u6218\u540c\u6837\u660e\u663e\u3002\u5176\u4ef7\u503c\u9ad8\u5ea6\u4f9d\u9644\u4e8e\u73b0\u6709AI\u4ee3\u7801\u5de5\u5177\u7684\u80fd\u529b\u8fb9\u754c\uff0c\u82e5\u672a\u6765AI\u5728\u89c6\u89c9\u7406\u89e3\u548c\u4e0a\u4e0b\u6587\u63a8\u65ad\u4e0a\u53d6\u5f97\u7a81\u7834\uff0c\u8be5\u5de5\u5177\u7684\u201c\u6865\u6881\u201d\u4f5c\u7528\u53ef\u80fd\u4f1a\u88ab\u524a\u5f31\u3002\u6b64\u5916\uff0c\u5f53\u524d\u5b83\u66f4\u50cf\u662f\u4e00\u4e2a\u9ad8\u6548\u7684\u201c\u4fe1\u606f\u6253\u5305\u5668\u201d\uff0c\u5176\u62a4\u57ce\u6cb3\u5728\u4e8e\u5de5\u4f5c\u6d41\u96c6\u6210\u6df1\u5ea6\u4e0e\u7528\u6237\u4f53\u9a8c\u3002\u80fd\u5426\u4ece\u5355\u70b9\u5de5\u5177\u6269\u5c55\u4e3a\u6db5\u76d6\u8bbe\u8ba1\u7a3f\u5bf9\u63a5\u3001\u7248\u672c\u5bf9\u6bd4\u7b49\u66f4\u5e7f\u573a\u666f\u7684\u201cAI\u534f\u4f5c\u5e73\u53f0\u201d\uff0c\u5c06\u51b3\u5b9a\u5176\u5929\u82b1\u677f\u3002\u603b\u4f53\u800c\u8a00\uff0c\u8fd9\u662f\u4e00\u4e2a\u5728\u6b63\u786e\u65f6\u673a\u5207\u5165\u7ec6\u5206\u75db\u70b9\u7684\u7cbe\u81f4\u89e3\u51b3\u65b9\u6848\uff0c\u5c55\u73b0\u4e86\u5de5\u5177\u7c7b\u4ea7\u54c1\u5728AI\u65f6\u4ee3\u7684\u65b0\u8303\u5f0f\uff1a\u4e0d\u505aAI\u7684\u5927\u8111\uff0c\u800c\u662f\u505a\u589e\u5f3a\u4eba\u7c7b\u4e0eAI\u534f\u540c\u7684\u201c\u795e\u7ecf\u63a5\u53e3\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\">ClickSay<\/span>\n <\/div>\n<div class=\"comment-content\">Click any element on your page and ClickSay instantly captures its CSS selector, computed styles, HTML, screenshot, and React\/Vue\/Svelte component name. Add your fix with voice or text, and a structured prompt hits your clipboard. Paste into Claude Code, Cursor, or any AI tool – it nails the fix first try. No more “the button in the header with the rounded corners…” Sweep Mode lets you click 5 elements and fix them all in one prompt. Free to start. Code PRODUCTHUNT2026 = 3 months Pro free.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Hey Product Hunt! \ud83d\udc4b I’m Fred, and I made ClickSay.<\/p>\n<\/p>\n<p>Here’s why I built it. I’ve been vibe coding for months – building everything with Claude Code (i use it in terminal but this can be done in any AI building tool, OpenAI Codex, Replit, Lovable, you name it…). And I kept running into the same annoying wall. I’d see a UI bug, switch to Claude Code, and spend 30 seconds trying to explain which element I meant. “The button in the header, the one with rounded corners, make the font bigger.” The AI would get the wrong one. I’d try again. Still wrong.<\/p>\n<\/p>\n<p>Turns out the bottleneck was never the AI. It was me trying to describe what I was looking at.<\/p>\n<\/p>\n<p>So I built ClickSay. Press <strong>Cmd+Shift+K <\/strong>(or change it to any shortcut you like), click one or more elements (Use shift key for more than one), say what you want fixed (in any of the 20 supported languages), or changed, or even a large enhancement. It grabs the CSS selector, computed styles, HTML, (lot of options to add in the sidebar like the screenshot with the element highlighted, and even the React\/Vue\/Svelte component name). All of that gets packaged into a structured prompt and lands on your clipboard.<\/p>\n<\/p>\n<p>Paste it into whatever AI tool you use. It gets the full picture and nails the fix first try.<\/p>\n<\/p>\n<p>ClickSay completely changed how I work. It’s the tool I reach for more than anything else now. What used to be a full minute of typing and back-and-forth takes three seconds. I’m shipping UI fixes way faster, and that compounds across a whole build session. Some days I’ll ClickSay 100+ changes without even thinking about it. It’s just muscle memory at this point.<\/p>\n<\/p>\n<p>For the PH community – use code PRODUCTHUNT2026 for 3 months of Pro free.<\/p>\n<\/p>\n<p>I’m really interested in finding out if this changes your daily behavior like it changed mine. One of my beta testers told me the other day he is “hooked on ClickSay”. That’s awesome. Let me know what you guys think! Cheers- Fred<\/p>\n<\/p>\n<p>Here’s a video that shows how I use it with Claude Code (I built this complete website MatchCentral with ClickSay btw):<\/p>\n<\/p>\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=_ijomO9tAX4\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/www.youtube.com\/watch?v=_ijomO9tAX4<\/a><\/p>\n<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>15<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>this is actually pretty smart. half the struggle with ai fixing ui stuff is just explaining what exactly is broken, so pulling the selector, styles, screenshot and component info in one go makes a lot of sense. sweep mode sounds useful too, specially when there are multiple small issues all over the page.<\/p>\n<p>curious, what kind of users are getting the most value from this right now, devs fixing their own ui or designers\/qa folks sending cleaner feedback?<\/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\/@nayan_surya98\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nayan_surya98<\/a> All types honestly. I’ve installed <a href=\"https:\/\/www.producthunt.com\/products\/claude-code\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"claude-code\" target=\"_blank\" rel=\"noopener\">@Claude Code<\/a> + <a href=\"https:\/\/www.producthunt.com\/products\/supabase\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"supabase\" target=\"_blank\" rel=\"noopener\">@Supabase<\/a> + <a href=\"https:\/\/www.producthunt.com\/products\/vercel\" data-node-type=\"mention\" data-mention-type=\"product\" data-mention-id=\"vercel\" target=\"_blank\" rel=\"noopener\">@Vercel<\/a> for first time vibe coders. People with a great sense of product design and need and they absolutely love it. Other users are designers who focus on website design with some functionality. Here’s one. It’s a beautiful website fully coded with CC + ClickSay. Front end and backend. For example when it was done. You can ClickSay something like, “I want to fully localize this whole website in 5 of the top languages for soccer and place the flag drop down here”.<\/p>\n<\/p>\n<p><a href=\"https:\/\/matchcentral.net\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/matchcentral.net\/<\/a><\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>4<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>I can’t believe how in less than 2 weeks, 40 years of how I interact with computers has been completely transformed. I built a chrome extension to better work with Claude Code and now, it is virtually the only tool I use on my computer 16 hours a day. I’d love to know how it also changes your daily behavior.<\/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\/@fredmaker\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fredmaker<\/a> I agree. It’s also changed my behavior. Wild how the human mind can modify an age old habit so quickly!<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">@fredmaker hello I am product hunter<\/div>\n<div class=\"comment-actions\">\n<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><strong>This is such a smart solve<\/strong>, Fred. The “describing what I’m looking at” bottleneck is so real – I’ve wasted so many minutes trying to explain a button’s position to an AI. <\/p>\n<\/p>\n<p>The CSS selector + computed styles + component name approach is clever. That’s basically giving the AI perfect context instead of hoping it guesses from your description.<\/p>\n<\/p>\n<p>Congrats on the launch! <strong>Wishing you a great one!<\/strong><\/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\/@aethorn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@aethorn<\/a> Thank you. Appreciate it. I love the product. Has become the product I use the most now! \ud83d\ude42 Enjoy and let me know how things go with it.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@fredmaker\" data-node-type=\"mention\" data-mention-type=\"user\" data-mention-id=\"fredmaker\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@fredmaker<\/a> Oh man, I feel this one. I spend half my time in Cursor just trying to explain which element ‘m talking<\/p>\n<p>about. “No, the OTHER button. The one with the shadow.” Having the selector and styles auto-captured is a game changer.<\/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\/@maurya_abhiranjan\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@maurya_abhiranjan<\/a> Thank you. I agree. You can’t fully appreciate the value until you start using it. ClickSay has rewired how I 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<\/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\/HOKXONCQZR6HCN\" class=\"app-title\">OpenFlags<\/a><\/p>\n<div class=\"one-liner\">Fast, self-hosted, edge-ready feature flags for modern teams<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">105<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>OpenFlags\u662f\u4e00\u6b3e\u4e3a\u73b0\u4ee3\u5f00\u53d1\u56e2\u961f\u6253\u9020\u7684\u5feb\u901f\u3001\u81ea\u6258\u7ba1\u3001\u8fb9\u7f18\u5c31\u7eea\u7684\u529f\u80fd\u5f00\u5173\u670d\u52a1\uff0c\u4ee5\u8f7b\u91cf\u5316\u548c\u96f6\u5ef6\u8fdf\u672c\u5730\u8bc4\u4f30\u4e3a\u6838\u5fc3\uff0c\u89e3\u51b3\u4e86\u4f01\u4e1a\u5728\u4f7f\u7528\u529f\u80fd\u5f00\u5173\u65f6\u9762\u4e34\u7684\u6210\u672c\u9ad8\u6602\u3001\u67b6\u6784\u590d\u6742\u548c\u6027\u80fd\u635f\u8017\u7b49\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\/ce57b19a-f198-4c71-860a-1e5f33c00c82.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\/3b1062b0-6676-40fb-aad4-36bc61e564f4.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\/380d2251-fa66-48e6-ae7e-6c98d7b93a62.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\/69fcf913-59f9-449d-8dff-c97bb2720043.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\/f79c4988-41da-4b97-a6e7-7c9824e230c3.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=idlBZlP13oI\"><source src=\"https:\/\/www.youtube.com\/watch?v=idlBZlP13oI\" 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\">Open Source<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">GitHub<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u529f\u80fd\u5f00\u5173<\/span><br \/>\n <span class=\"tag\">\u81ea\u6258\u7ba1<\/span><br \/>\n <span class=\"tag\">\u8f7b\u91cf\u7ea7\u66ff\u4ee3<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90\u8f6f\u4ef6<\/span><br \/>\n <span class=\"tag\">\u8fb9\u7f18\u8ba1\u7b97<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8fd0\u7ef4<\/span><br \/>\n <span class=\"tag\">\u7279\u6027\u53d1\u5e03<\/span><br \/>\n <span class=\"tag\">LaunchDarkly\u66ff\u4ee3\u54c1<\/span><br \/>\n <span class=\"tag\">Bun\u6846\u67b6<\/span><br \/>\n <span class=\"tag\">SQLite\u6570\u636e\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\u53cd\u9988\u4e3b\u8981\u96c6\u4e2d\u4e8e\u4e24\u70b9\uff1a\u4e00\u662f\u521b\u59cb\u4eba\u8be2\u95ee\u5176\u5546\u4e1a\u6a21\u5f0f\uff0c\u5173\u6ce8\u9879\u76ee\u53ef\u6301\u7eed\u6027\uff1b\u4e8c\u662f\u5efa\u8bae\u4ea7\u54c1\u5e94\u66f4\u660e\u786e\u5730\u5b9a\u4f4d\u4e3aLaunchDarkly\u7684\u66ff\u4ee3\u54c1\uff0c\u4ee5\u66f4\u76f4\u63a5\u5730\u951a\u5b9a\u4ef7\u503c\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u8bc4\u4f30\u3002\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"ai-section\">\n<div class=\"ai-content\" style=\"font-size: large;\"><strong>AI \u9510\u8bc4<\/strong><\/div>\n<p class=\"ai-content\">\n OpenFlags\u7684\u4eae\u76f8\uff0c\u7cbe\u51c6\u5730\u523a\u4e2d\u4e86\u529f\u80fd\u5f00\u5173\u5e02\u573a\u7684\u4e00\u4e2a\u9690\u79d8\u75db\u70b9\uff1a\u8fc7\u5ea6\u5de5\u7a0b\u5316\u3002\u5728LaunchDarkly\u7b49\u5de8\u5934\u5c06\u529f\u80fd\u7ba1\u7406\u5851\u9020\u6210\u4e00\u4e2a\u590d\u6742\u3001\u6602\u8d35\u7684\u4f01\u4e1a\u7ea7\u89e3\u51b3\u65b9\u6848\u65f6\uff0c\u8bb8\u591a\u4e2d\u5c0f\u56e2\u961f\u548c\u8f7b\u91cf\u7ea7\u5e94\u7528\u5b9e\u9645\u4e0a\u53ea\u9700\u8981\u4e00\u4e2a\u201c\u53ef\u9760\u7684\u5f00\u5173\u201d\u3002OpenFlags\u7684\u4ef7\u503c\u4e0d\u5728\u4e8e\u529f\u80fd\u521b\u65b0\uff0c\u800c\u5728\u4e8e\u505a\u51cf\u6cd5\u2014\u2014\u9009\u62e9Bun\u548cSQLite\u8fd9\u5957\u6781\u7b80\u6280\u672f\u6808\uff0c\u4e3b\u6253\u96f6\u5ef6\u8fdf\u672c\u5730\u8bc4\u4f30\u548c\u79d2\u7ea7\u90e8\u7f72\uff0c\u672c\u8d28\u4e0a\u662f\u5728\u5bf9\u81c3\u80bf\u7684SaaS\u6a21\u578b\u8fdb\u884c\u201c\u53bb\u8102\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u9762\u4e34\u7684\u6311\u6218\u540c\u6837\u6e05\u6670\u3002\u9996\u5148\uff0c\u201c\u8f7b\u91cf\u201d\u4e0e\u201c\u53ef\u6301\u7eed\u201d\u4e4b\u95f4\u5b58\u5728\u5929\u7136\u5f20\u529b\u3002\u8bc4\u8bba\u4e2d\u5173\u4e8e\u5546\u4e1a\u6a21\u5f0f\u7684\u7591\u95ee\u76f4\u6307\u6838\u5fc3\uff1a\u4e00\u4e2a100%\u5f00\u6e90\u3001\u81ea\u6258\u7ba1\u3001\u65e0\u201c\u4f01\u4e1a\u7a0e\u201d\u7684\u9879\u76ee\uff0c\u5982\u4f55\u6784\u5efa\u957f\u671f\u5065\u5eb7\u7684\u751f\u6001\u4e0e\u6536\u5165\u6d41\uff1f\u8fd9\u51b3\u5b9a\u4e86\u5b83\u6700\u7ec8\u4f1a\u6210\u4e3a\u4e00\u95ea\u800c\u8fc7\u7684\u6d41\u661f\uff0c\u8fd8\u662f\u80fd\u6301\u7eed\u8fed\u4ee3\u7684\u57fa\u7840\u8bbe\u65bd\u3002\u5176\u6b21\uff0c\u5176\u5e02\u573a\u5b9a\u4f4d\u7565\u663e\u66a7\u6627\u3002\u6b63\u5982\u8bc4\u8bba\u6240\u6307\uff0c\u5b83\u867d\u662f\u5bf9\u6807LaunchDarkly\u7684\u66ff\u4ee3\u54c1\uff0c\u4f46\u5ba3\u4f20\u4e0a\u5e76\u672a\u5f3a\u52bf\u7a81\u51fa\u8fd9\u4e00\u5bf9\u6bd4\u3002\u5728\u6210\u719f\u5e02\u573a\uff0c\u540e\u6765\u8005\u9700\u8981\u66f4\u5c16\u9510\u7684\u5b9a\u4f4d\u6765\u5207\u5f00\u7f3a\u53e3\u3002\u660e\u786e\u558a\u51fa\u201c\u53cd\u5bf9\u590d\u6742\uff0c\u56de\u5f52\u7b80\u5355\u201d\u7684\u65d7\u5e1c\uff0c\u6216\u8bb8\u80fd\u66f4\u5f3a\u70c8\u5730\u5438\u5f15\u90a3\u4e9b\u88ab\u73b0\u6709\u65b9\u6848\u201c\u4f24\u5bb3\u201d\u8fc7\u7684\u5f00\u53d1\u8005\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u4f53\u800c\u8a00\uff0cOpenFlags\u662f\u5f00\u53d1\u8005\u5bf9\u201c\u7b80\u6d01\u5de5\u5177\u201d\u6e34\u671b\u7684\u4ea7\u7269\u3002\u5b83\u672a\u5fc5\u80fd\u98a0\u8986\u5de8\u5934\uff0c\u4f46\u5f88\u53ef\u80fd\u5728\u8ffd\u6c42\u6781\u81f4\u6548\u7387\u3001\u63a7\u5236\u6210\u672c\u4e0e\u6570\u636e\u7684\u7279\u5b9a\u5f00\u53d1\u8005\u7fa4\u4f53\u4e2d\uff0c\u627e\u5230\u4e00\u5757\u575a\u5b9e\u7684\u5229\u57fa\u5e02\u573a\u3002\u5b83\u7684\u6210\u529f\uff0c\u5c06\u53d6\u51b3\u4e8e\u80fd\u5426\u5728\u4fdd\u6301\u201c\u8f7b\u201d\u7684\u7075\u9b42\u7684\u540c\u65f6\uff0c\u627e\u5230\u8ba9\u81ea\u5df1\u201c\u91cd\u201d\u5230\u8db3\u4ee5\u957f\u8fdc\u53d1\u5c55\u7684\u652f\u6491\u70b9\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\">OpenFlags<\/span>\n <\/div>\n<div class=\"comment-content\">Lightweight alternative to LaunchDarkly built with Bun & SQLite. Zero-latency local evaluation, percentage rollouts, and a sleek React dashboard. Deploy in seconds with Docker, Railway, or Zeabur. 100% Open Source. \ud83d\ude80<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hello Product Hunt! \ud83d\udc4b<\/p>\n<p>I started building OpenFlags because I wanted a way to manage features that felt as lightweight as the apps I was building. I missed the simplicity of just having a toggle that doesn’t cost a fortune or slow down my app’s critical paths.<\/p>\n<p>Building this with Bun and SQLite has been a blast. It\u2019s small, it\u2019s fast, and you can host it yourself in about 30 seconds. No marketing fluff, no complicated setup\u2014just a simple dashboard and an SDK that stays out of your way.<\/p>\n<p>I’m sharing this today because I’d love to see other people use it, break it, and tell me how to make it better. If you\u2019ve ever felt like feature flags were too “heavy” for your project, I hope OpenFlags brings a bit of that developer joy back to your workflow.<\/p>\n<p>Try <a href=\"https:\/\/openflags.dev\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/openflags.dev<\/a> and tell me what you think! Really looking forward to your feedback and ideas! \ud83d\ude80<\/div>\n<div class=\"comment-actions\">\n<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\/@huextrat\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@huextrat<\/a> do you have a business model? Or is this community infra?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 <strong>No Enterprise Tax<\/strong> angle. Quick observation while checking the site. The product clearly sits in the LaunchDarkly alternative space. Okay, but the homepage barely calls that out.<\/p>\n<p>For devs evaluating feature flag tools, that comparison might instantly anchor the value.<\/p>\n<p>I’m curious if you tested leaning into that contrast more.<\/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<\/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\/ANU32EHY4FUUWC\" class=\"app-title\">Usercall Triggers<\/a><\/p>\n<div class=\"one-liner\">Talk to users the moment behavior changes<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">101<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>\u4e00\u6b3e\u901a\u8fc7AI\u5b9e\u65f6\u89e6\u53d1\u5e76\u4e3b\u6301\u7b80\u77ed\u8bed\u97f3\u8bbf\u8c08\u7684\u5de5\u5177\uff0c\u5728\u7528\u6237\u9047\u5230\u6469\u64e6\u3001\u6d41\u5931\u6216\u5f03\u7528\u7b49\u884c\u4e3a\u53d8\u5316\u65f6\u523b\u5373\u65f6\u4ecb\u5165\uff0c\u5e2e\u52a9\u4ea7\u54c1\u56e2\u961f\u5feb\u901f\u83b7\u53d6\u884c\u4e3a\u80cc\u540e\u7684\u5b9a\u6027\u6d1e\u5bdf\uff0c\u89e3\u51b3\u4f20\u7edf\u8c03\u7814\u6ede\u540e\u3001\u4e0a\u4e0b\u6587\u4e22\u5931\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\/e63be38b-245a-44a1-9f13-fcb6493b7354.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\/2341be7c-0f7a-4dda-85ff-c5b68849a066.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\/128bbfb2-dadb-411e-a6b6-4e1707dad19c.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\/bcaa1410-ae86-41b7-a820-384825ae71c5.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\/7ce10c2f-e732-4bfc-8f8d-a5394193cf35.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\">User Experience<\/span><br \/>\n <span class=\"tag\">Analytics<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u7528\u6237\u8c03\u7814<\/span><br \/>\n <span class=\"tag\">\u5b9e\u65f6\u53cd\u9988<\/span><br \/>\n <span class=\"tag\">\u884c\u4e3a\u5206\u6790<\/span><br \/>\n <span class=\"tag\">\u4ea7\u54c1\u5206\u6790<\/span><br \/>\n <span class=\"tag\">AI\u4e3b\u6301<\/span><br \/>\n <span class=\"tag\">\u8bed\u97f3\u8bbf\u8c08<\/span><br \/>\n <span class=\"tag\">\u8f6c\u5316\u4f18\u5316<\/span><br \/>\n <span class=\"tag\">\u7528\u6237\u4f53\u9a8c<\/span><br \/>\n <span class=\"tag\">\u5b9a\u6027\u6d1e\u5bdf<\/span><br \/>\n <span class=\"tag\">SaaS<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u80af\u5b9a\u5176\u201c\u5728\u5f53\u4e0b\u201d\u6355\u6349\u539f\u56e0\u7684\u4ef7\u503c\u8fdc\u8d85\u6ede\u540e\u8c03\u7814\uff0c\u4f46\u62c5\u5fe7\u53ef\u80fd\u589e\u52a0\u7528\u6237\u6469\u64e6\u3002\u6838\u5fc3\u95ee\u9898\u5305\u62ec\uff1a\u5982\u4f55\u5e73\u8861\u89e6\u53d1\u65f6\u673a\u4e0e\u7528\u6237\u4f53\u9a8c\u3001\u5b9e\u9645\u53c2\u4e0e\u7387\u3001\u5982\u4f55\u6709\u6548\u7ba1\u7406\u53ca\u4f18\u5148\u5904\u7406\u89e6\u53d1\u4fe1\u53f7\uff0c\u4ee5\u53ca\u5f53\u524d\u7684\u4e3b\u8981\u7528\u6237\u884c\u4e1a\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 Usercall Triggers \u8bd5\u56fe\u7528\u6280\u672f\u86ee\u529b\u649e\u5f00\u4ea7\u54c1\u5f00\u53d1\u4e2d\u6700\u987d\u56fa\u7684\u4e00\u6247\u95e8\uff1a\u4ece\u201c\u662f\u4ec0\u4e48\u201d\u5230\u201c\u4e3a\u4ec0\u4e48\u201d\u7684\u9e3f\u6c9f\u3002\u5176\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u201cAI\u4e3b\u6301\u201d\uff0c\u800c\u5728\u4e8e\u6784\u5efa\u4e86\u4e00\u4e2a\u201c\u884c\u4e3a-\u89e6\u53d1-\u53cd\u9988\u201d\u7684\u5b9e\u65f6\u95ed\u73af\u7cfb\u7edf\uff0c\u5c06\u7528\u6237\u8c03\u7814\u4ece\u4e3b\u52a8\u7684\u3001\u8ba1\u5212\u6027\u7684\u5962\u4f88\u884c\u4e3a\uff0c\u8f6c\u53d8\u4e3a\u88ab\u52a8\u7684\u3001\u57fa\u4e8e\u4e8b\u4ef6\u7684\u57fa\u7840\u8bbe\u65bd\u3002\u8fd9\u98a0\u8986\u4e86\u4f20\u7edf\u7528\u6237\u7814\u7a76\u7684\u8303\u5f0f\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u5ba3\u79f0\u7684\u4ef7\u503c\u80cc\u540e\u6f5c\u85cf\u7740\u53cc\u91cd\u98ce\u9669\u3002\u5176\u4e00\uff0c\u7528\u6237\u4f53\u9a8c\u98ce\u9669\uff1a\u5728\u7528\u6237\u53d7\u632b\u65f6\u5f39\u51fa\u8bbf\u8c08\u9080\u8bf7\uff0c\u672c\u8d28\u662f\u5728\u4f24\u53e3\u4e0a\u63d0\u95ee\uff0c\u6781\u6613\u88ab\u611f\u77e5\u4e3a\u9a9a\u6270\uff0c\u52a0\u5267\u6d41\u5931\u3002\u5c3d\u7ba1\u56e2\u961f\u5f3a\u8c03\u7b80\u77ed\uff0c\u4f46\u201c\u6469\u64e6\u65f6\u523b\u201d\u7684\u7528\u6237\u5bb9\u5fcd\u5ea6\u6781\u4f4e\u3002\u5176\u4e8c\uff0c\u6570\u636e\u6548\u7528\u98ce\u9669\uff1a\u4ea7\u54c1\u5c06\u5b9d\u62bc\u5728\u201c\u5f53\u4e0b\u201d\u7684\u53d9\u4e8b\u65b0\u9c9c\u5ea6\u4e0a\uff0c\u4f46\u60c5\u7eea\u5316\u7684\u5373\u65f6\u53cd\u9988\u4e0e\u7ecf\u8fc7\u6c89\u6dc0\u7684\u7406\u6027\u5f52\u56e0\uff0c\u5b70\u4f18\u5b70\u52a3\u5c1a\u65e0\u5b9a\u8bba\u3002\u5c11\u91cf2\u5206\u949f\u8bed\u97f3\u7684\u201c\u6df1\u5ea6\u201d\u53ef\u80fd\u53ea\u662f\u4e00\u79cd\u9519\u89c9\uff0c\u5176\u4fe1\u606f\u5bc6\u5ea6\u4e0e\u53ef\u5206\u6790\u6027\uff0c\u672a\u5fc5\u4f18\u4e8e\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u5f02\u6b65\u95ee\u5377\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5b83\u7684\u6210\u529f\u4e0d\u53d6\u51b3\u4e8e\u6280\u672f\uff0c\u800c\u53d6\u51b3\u4e8e\u8fd1\u4e4e\u827a\u672f\u822c\u7684\u89e6\u53d1\u7b56\u7565\u6821\u51c6\u2014\u2014\u5fc5\u987b\u5728\u7528\u6237\u613f\u610f\u503e\u8bc9\u7684\u201c\u9ec4\u91d1\u65f6\u523b\u201d\u7cbe\u51c6\u4ecb\u5165\u3002\u8fd9\u8981\u6c42\u4ea7\u54c1\u56e2\u961f\u5bf9\u81ea\u8eab\u7528\u6237\u5fc3\u7406\u548c\u65c5\u7a0b\u6709\u8d85\u4e4e\u5bfb\u5e38\u7684\u7406\u89e3\uff0c\u5426\u5219\u5de5\u5177\u672c\u8eab\u5c31\u4f1a\u6210\u4e3a\u566a\u97f3\u548c\u6469\u64e6\u7684\u6e90\u5934\u3002\u5b83\u53ef\u80fd\u6210\u4e3a\u9876\u7ea7\u4ea7\u54c1\u56e2\u961f\u7684\u6d1e\u5bdf\u5229\u5668\uff0c\u4f46\u5bf9\u591a\u6570\u56e2\u961f\u800c\u8a00\uff0c\u66f4\u53ef\u80fd\u6ca6\u4e3a\u53e6\u4e00\u4e2a\u4ea7\u751f\u5b9a\u6027\u6570\u636e\u788e\u7247\u7684\u6602\u8d35\u73a9\u5177\u3002\u5176\u957f\u671f\u6311\u6218\u5728\u4e8e\uff0c\u5982\u4f55\u8bc1\u660e\u81ea\u5df1\u4e0d\u662f\u95ee\u9898\u7684\u7ec8\u7ed3\u8005\uff0c\u800c\u662f\u9ad8\u8d28\u91cf\u3001\u53ef\u884c\u52a8\u6d1e\u5bdf\u7684\u53ef\u9760\u8d77\u70b9\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\">Usercall Triggers<\/span>\n <\/div>\n<div class=\"comment-content\">Analytics shows what users do. Usercall shows why. Trigger short AI-moderated interviews when users drop off, churn, or hit friction\u2014and get real insights in hours, not weeks<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Analytics shows what happened. Usercall Triggers helps you understand why by talking to users the moment behavior changes<\/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>Triggering AI-moderated interviews at the exact moment a user drops off, churns, or hits friction is a massive improvement over the traditional approach of sending survey links days later when the context is already lost \u2014 capturing the “why” while the experience is still fresh should produce fundamentally richer qualitative data. The bridge between analytics (what happened) and user research (why it happened) is exactly the gap most product teams struggle with; how do you handle the user experience of being prompted for an interview mid-flow \u2014 is there a risk of adding friction to an already frustrated user, or do you see it actually improving retention by making users feel heard?<\/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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> agree more data is needed to assess friction, but we think a few 2-min voice conversations will be far more valuable than dozens of shallow survey responses<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> Totally agree, Sviatoslav. Capturing the <strong>WHY<\/strong> in the moment while the user experience is still fresh seems like it could produce far richer insights. I\u2019m curious how you\u2019d balance prompting users without adding friction… Do you see it as actually improving retention by making users feel heard, or is there a trade-off to manage?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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 and the product! <\/p>\n<\/p>\n<p>What is the most popular niche or industry that’s currently using UserCall?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">this is smart. reacting to user behavior in real time is powerful, but it can get noisy fast. how are you helping teams manage and prioritize those triggers effectively<\/div>\n<div class=\"comment-actions\">\n<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\/@henry_kojo_owusu\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@henry_kojo_owusu<\/a> You can set custom filters and parameters to pinpoint exactly who you want to invite to quick interviews at which time. If you already have custom specific events in your existing product analytics stack (posthog, mixpanel..etc) you can use those. Or you can add custom events or additional filters from the trigger setup<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The gap between “users dropped off here” and “why did they drop off” is where most product decisions go wrong. An AI voice interview triggered at the moment of friction is way more likely to get real answers. How long are these interviews typically? Whats the avg % of users who actually answer? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@ben_gend\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@ben_gend<\/a> interviews are short ~2min but users often talk longer. Conversion varies but just a few conversations can reveal big insights<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\/NZTNWF6HC6Q5H5\" class=\"app-title\">Parallax<\/a><\/p>\n<div class=\"one-liner\">Local-first AI orchestrator for software development tasks.<\/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>Parallax\u662f\u4e00\u6b3e\u672c\u5730\u4f18\u5148\u7684AI\u5f00\u53d1\u6d41\u7a0b\u7f16\u6392\u5668\uff0c\u5728\u8f6f\u4ef6\u65e5\u5e38\u5f00\u53d1\u573a\u666f\u4e2d\uff0c\u901a\u8fc7\u62c9\u53d6\u4efb\u52a1\u3001\u751f\u6210\u8ba1\u5212\u3001\u9694\u79bb\u6267\u884c\u5e76\u63d0\u4ea4PR\u7684\u81ea\u52a8\u5316\u6d41\u7a0b\uff0c\u89e3\u51b3\u4e86AI\u7f16\u7801\u52a9\u624b\u4e0e\u73b0\u6709\u5f00\u53d1\u6d41\u7a0b\u8131\u8282\u3001\u5f00\u53d1\u8005\u63a7\u5236\u6743\u7f3a\u5931\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\/4ea3cb38-ef15-4181-9b85-84d43991da34.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\/b3407f01-af8a-4698-bd1c-d4aff1a96041.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\/6505ed05-7f92-4e23-82f2-8dfdd9ed7cd8.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Open Source<\/span><br \/>\n <span class=\"tag\">Software Engineering<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">AI\u7f16\u7a0b\u52a9\u624b<\/span><br \/>\n <span class=\"tag\">\u672c\u5730\u4f18\u5148<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u6d41\u7a0b\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">\u4efb\u52a1\u7f16\u6392<\/span><br \/>\n <span class=\"tag\">\u4ee3\u7801\u751f\u6210<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90<\/span><br \/>\n <span class=\"tag\">GitHub\u96c6\u6210<\/span><br \/>\n <span class=\"tag\">Linear\u96c6\u6210<\/span><br \/>\n <span class=\"tag\">\u8ba1\u5212\u5ba1\u6279<\/span><br \/>\n <span class=\"tag\">\u5f00\u53d1\u8fd0\u7ef4<\/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\u201c\u5148\u8ba1\u5212\u540e\u6267\u884c\u201d\u7684\u4fe1\u4efb\u6a21\u578b\u548c\u672c\u5730\u5316\u4f18\u52bf\u3002\u4e3b\u8981\u7591\u95ee\u96c6\u4e2d\u5728\uff1a1. \u521d\u59cb\u8bbe\u7f6e\u590d\u6742\u5ea6\uff1b2. \u662f\u5426\u652f\u6301\u8de8\u4ed3\u5e93\/\u591a\u670d\u52a1\u4efb\u52a1\u534f\u8c03\uff08\u76ee\u524d\u4ec5\u9650\u5355\u4ed3\u5e93\uff09\uff1b3. \u9700\u8981\u5916\u90e8API\u8c03\u7528\u7684\u4efb\u52a1\u5982\u4f55\u5904\u7406\uff08\u89c6\u4e3a\u666e\u901aHTTP\u8c03\u7528\uff0c\u5931\u8d25\u53ef\u91cd\u8bd5\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 Parallax\u7684\u53d1\u5e03\uff0c\u4e0e\u5176\u8bf4\u662f\u53c8\u4e00\u4e2aAI\u7f16\u7801\u5de5\u5177\uff0c\u4e0d\u5982\u8bf4\u662f\u4e00\u6b21\u5bf9\u5f53\u524dAI\u5f00\u53d1\u4ee3\u7406\u4e3b\u6d41\u8303\u5f0f\u7684\u201c\u77eb\u6b63\u5c1d\u8bd5\u201d\u3002\u5176\u6838\u5fc3\u4ef7\u503c\u4e0d\u5728\u4e8e\u751f\u6210\u4ee3\u7801\u7684\u201c\u80fd\u529b\u201d\uff0c\u800c\u5728\u4e8e\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u201c\u6d41\u7a0b\u63a7\u5236\u201d\u4e0e\u201c\u6743\u9650\u8fb9\u754c\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u5c06\u201c\u672c\u5730\u4f18\u5148\u201d\u4f5c\u4e3a\u57fa\u77f3\uff0c\u8fd9\u76f4\u51fb\u4e86\u4f01\u4e1a\u7ea7\u5e94\u7528\u5bf9\u6570\u636e\u5b89\u5168\u548c\u5ef6\u8fdf\u654f\u611f\u7684\u547d\u95e8\uff0c\u4e0e\u4f17\u591a\u4e91\u7aef\u9ed1\u76d2\u4ee3\u7406\u5f62\u6210\u9c9c\u660e\u5bf9\u7acb\u3002\u66f4\u5173\u952e\u7684\u662f\u5176\u201c\u8ba1\u5212-\u6279\u51c6-\u6267\u884c\u201d\u7684\u521a\u6027\u5de5\u4f5c\u6d41\uff0c\u8fd9\u5e76\u975e\u6280\u672f\u70ab\u6280\uff0c\u800c\u662f\u6df1\u523b\u7406\u89e3\u4e86\u5f53\u4e0b\u5f00\u53d1\u56e2\u961f\u5bf9AI\u7684\u6df1\u5c42\u7126\u8651\uff1a\u5931\u63a7\u3002\u5b83\u5c06AI\u4ece\u53ef\u80fd\u968f\u610f\u63d0\u4ea4\u4ee3\u7801\u7684\u201c\u5192\u5931\u9b3c\u201d\uff0c\u964d\u7ea7\u4e3a\u4e00\u4e2a\u9700\u8981\u5c42\u5c42\u62a5\u5907\u7684\u201c\u5b9e\u4e60\u751f\u201d\uff0c\u6240\u6709\u4ea7\u51fa\u90fd\u88ab\u7ea6\u675f\u5728\u9694\u79bb\u7684\u5de5\u4f5c\u6811\u548c\u53ef\u5ba1\u67e5\u7684PR\u5185\uff0c\u5b8c\u7f8e\u5d4c\u5165\u73b0\u6709Git\u6d41\u7a0b\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u8bbe\u8ba1\u54f2\u5b66\u4e5f\u5e26\u6765\u4e86\u660e\u663e\u7684\u5c40\u9650\u3002\u5c06\u4efb\u52a1\u4e25\u683c\u9650\u5b9a\u5728\u5355\u4ed3\u5e93\u5185\uff0c\u867d\u4fdd\u8bc1\u4e86\u53ef\u9884\u6d4b\u6027\uff0c\u5374\u4e5f\u66b4\u9732\u4e86\u5176\u672c\u8d28\u662f\u4e00\u4e2a\u201c\u9ad8\u7ea7\u81ea\u52a8\u5316\u811a\u672c\u201d\uff0c\u800c\u975e\u771f\u6b63\u80fd\u7406\u89e3\u590d\u6742\u7cfb\u7edf\u4e0a\u4e0b\u6587\u3001\u8fdb\u884c\u8de8\u670d\u52a1\u534f\u8c03\u7684\u201c\u667a\u80fd\u4f53\u201d\u3002\u8fd9\u53cd\u6620\u4e86\u5f53\u524dAI\u5728\u8f6f\u4ef6\u5de5\u7a0b\u4e2d\u5e94\u7528\u7684\u73b0\u5b9e\uff1a\u5728\u6709\u9650\u3001\u5b9a\u4e49\u660e\u786e\u7684\u4e0a\u4e0b\u6587\u4e2d\u8868\u73b0\u53ef\u9760\uff0c\u4e00\u65e6\u6d89\u53ca\u7cfb\u7edf\u7ea7\u67b6\u6784\u51b3\u7b56\uff0c\u4ecd\u529b\u6709\u4e0d\u902e\u3002\n <\/p>\n<p class=\"ai-content\">\n \u603b\u4f53\u800c\u8a00\uff0cParallax\u7684\u4ef7\u503c\u5728\u4e8e\u4e3aAI\u8fdb\u5165\u4e25\u8083\u8f6f\u4ef6\u5f00\u53d1\u63d0\u4f9b\u4e86\u4e00\u5957\u201c\u5b89\u5168\u7f30\u7ef3\u201d\u3002\u5b83\u4e0d\u8ffd\u6c42\u5168\u81ea\u52a8\u5316\u7684\u865a\u5e7b\u627f\u8bfa\uff0c\u800c\u662f\u805a\u7126\u4e8e\u4eba\u673a\u534f\u4f5c\u4e2d\u53ef\u63a7\u3001\u53ef\u5ba1\u67e5\u3001\u53ef\u9006\u8f6c\u7684\u201c\u589e\u5f3a\u201d\u73af\u8282\u3002\u5176\u5f00\u6e90\u9009\u62e9\u8fdb\u4e00\u6b65\u653e\u5927\u4e86\u8fd9\u4e00\u610f\u56fe\uff0c\u9080\u8bf7\u793e\u533a\u5171\u540c\u5b9a\u4e49\u8fd9\u4e00\u534f\u4f5c\u8fb9\u754c\u3002\u5b83\u7684\u6210\u529f\u4e0e\u5426\uff0c\u5c06\u4e0d\u53d6\u51b3\u4e8e\u5176AI\u6709\u591a\u806a\u660e\uff0c\u800c\u53d6\u51b3\u4e8e\u8fd9\u5957\u7ea6\u675f\u6846\u67b6\u662f\u5426\u8db3\u591f\u4f18\u96c5\u548c\u7075\u6d3b\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\">Parallax<\/span>\n <\/div>\n<div class=\"comment-content\">Parallax is a local-first AI orchestrator for software development tasks. It pulls work from Linear or GitHub Issues, creates isolated worktrees, generates a plan first, waits for approval, then executes changes and opens or updates the related branch and PR while keeping control on your machine.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Looks great but Im curious how complex the setup is. Tools like this can sometimes be tough to onboard.<\/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\/@alfred_simon\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@alfred_simon<\/a> That’s a fair assumption, and it does require some extra effort. I added a “parallax preflight” command that runs before the service starts and provides details about what may be missing.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\ude80 <strong>Big News: Parallax is Now Open Source!<\/strong><\/p>\n<p>I’m excited to share that <strong>Parallax<\/strong>, it\u2019s officially <a href=\"https:\/\/github.com\/maxigimenez\/parallax-cli\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong>open source<\/strong><\/a>.<\/p>\n<p>Parallax started as an idea to make working AI workflows simpler and more transparent. <\/p>\n<p>By making Parallax open source, anyone can:<br \/>\u2728 Explore how it works<br \/>\ud83d\udd27 Contribute improvements<br \/>\ud83d\ude80 Build new ideas on top of it<\/p>\n<p>I\u2019m really excited to see what the community builds, and I\u2019d love your feedback, contributions, and ideas.<\/p>\n<p>If you find Parallax interesting, I\u2019d really appreciate your support on Product Hunt today \ud83d\ude4c<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>The plan-first-then-execute workflow with explicit approval gates is exactly the right trust model for AI coding agents \u2014 pulling issues directly from Linear or GitHub, creating isolated worktrees, and opening reviewable PRs means Parallax slots into an existing dev process rather than requiring teams to adopt a new one. Running everything locally with full control on your machine is a strong differentiator from cloud-based coding agents; how does Parallax handle issues that require changes across multiple repos or services \u2014 can it coordinate work across different worktrees, or is it scoped to single-repo tasks?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@svyat_dvoretski\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@svyat_dvoretski<\/a> Great question, and thanks for calling out the workflow design.<\/p>\n<p>Right now Parallax is intentionally scoped to <strong>one repository per task<\/strong> (a 1:1 relationship between a task and a repo). That constraint is mostly about keeping execution predictable and reviewable, the agent plans, creates an isolated worktree, and opens a PR in the same repo the task came from.<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">Hey Product Hunt! <\/p>\n<p>I\u2019m excited to share Parallax with you.<\/p>\n<p>I built it because I wanted an AI coding agent that fits into a real dev workflow, not one that disappears into a black box. Parallax runs locally, turns Linear or GitHub issues into tasks, creates a plan first, waits for approval, then works in isolated branches and opens a reviewable PR.<\/p>\n<p>The big idea is simple: let AI help with real software work while you stay in control of planning, execution, and review.<\/p>\n<p>If that sounds useful, I\u2019d love for you to check it out and tell me what feels promising, confusing, or missing. I\u2019ll be around all day and would really appreciate the feedback.<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Local-first AI orchestration is an underrated design choice \u2014 no latency spikes, no data leaving the machine. How does it handle tasks that need external API calls while staying local?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<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\/@abhinavramesh\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@abhinavramesh<\/a> It’s handled as a normal HTTP call. If it fails for any reason, the response is processed, and the task is canceled. In this case, the error is logged and displayed on the UI dashboard or when running “parallax status.” The user can retry the task at any 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<\/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\/SNQM7FMBBJ3WSI\" class=\"app-title\">Xeder<\/a><\/p>\n<div class=\"one-liner\">Your X.com feed as a podcast<\/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>Xeder\u662f\u4e00\u6b3eChrome\u6269\u5c55\uff0c\u901a\u8fc7\u81ea\u7136\u8bed\u97f3\u5c06\u7528\u6237\u7684X\/Twitter\u65f6\u95f4\u7ebf\u8f6c\u6362\u4e3a\u97f3\u9891\uff0c\u8ba9\u7528\u6237\u5728\u901a\u52e4\u3001\u5bb6\u52a1\u6216\u5de5\u4f5c\u65f6\u80fd\u201c\u542c\u201d\u63a8\u6587\uff0c\u89e3\u51b3\u4e86\u7528\u6237\u6c89\u8ff7\u5237\u5c4f\u4e0e\u65f6\u95f4\u788e\u7247\u5316\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 <video class=\"media-content\" poster=\"https:\/\/ph-files.imgix.net\/b4b0fd10-0d88-45b7-af7d-fe356b14c617.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=0IAdt40CJkg\"><source src=\"https:\/\/www.youtube.com\/watch?v=0IAdt40CJkg\" 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\/e83092c5-2d8b-482f-aeca-989a1b95ddb4.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\/50a7e091-ed65-4923-b554-7eb29b23e335.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\">Twitter<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u6d4f\u89c8\u5668\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">\u6587\u672c\u8f6c\u8bed\u97f3<\/span><br \/>\n <span class=\"tag\">\u4fe1\u606f\u6d88\u8d39<\/span><br \/>\n <span class=\"tag\">\u751f\u4ea7\u529b\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u97f3\u9891\u5316<\/span><br \/>\n <span class=\"tag\">\u9632\u6c89\u8ff7<\/span><br \/>\n <span class=\"tag\">\u4e00\u6b21\u6027\u4ed8\u8d39<\/span><br \/>\n <span class=\"tag\">AI\u8f85\u52a9\u5f00\u53d1<\/span><br \/>\n <span class=\"tag\">\u793e\u4ea4\u5a92\u4f53<\/span><br \/>\n <span class=\"tag\">\u542c\u89c9\u4f53\u9a8c<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u53cd\u9988\u96c6\u4e2d\u4e8e\u529f\u80fd\u7ec6\u5316\u5efa\u8bae\uff0c\u5982\u8be2\u95ee\u662f\u5426\u6bcf\u6761\u63a8\u6587\u6709\u72ec\u7acb\u97f3\u6548\u3001\u80fd\u5426\u9009\u62e9\u7279\u5b9a\u5217\u8868\u6216\u63a8\u6587\u8fdb\u884c\u6536\u542c\u3002\u521b\u59cb\u4eba\u56de\u5e94\u4e86\u5f00\u53d1\u8fc7\u7a0b\uff0c\u4e00\u6b21\u6027\u4ed8\u8d39\u6a21\u5f0f\u83b7\u5f97\u8ba4\u53ef\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 Xeder\u7684\u6838\u5fc3\u7406\u5ff5\u662f\u201c\u542c\u89c9\u5316\u4fe1\u606f\u6d41\u201d\uff0c\u5176\u771f\u6b63\u4ef7\u503c\u4e0d\u5728\u4e8e\u6280\u672f\u7a81\u7834\uff0c\u800c\u5728\u4e8e\u5bf9\u793e\u4ea4\u5a92\u4f53\u6d88\u8d39\u573a\u666f\u7684\u7cbe\u51c6\u89e3\u6784\u3002\u5b83\u5c06Twitter\u201c\u6587\u672c\u4f18\u5148\u201d\u7684\u7279\u6027\u8f6c\u5316\u4e3a\u4ea7\u54c1\u4f18\u52bf\uff0c\u8bd5\u56fe\u5c06\u7528\u6237\u4ece\u89c6\u89c9\u7ed1\u67b6\u4e2d\u89e3\u653e\u51fa\u6765\uff0c\u690d\u5165\u97f3\u9891\u4f34\u968f\u573a\u666f\u3002\u8fd9\u672c\u8d28\u4e0a\u662f\u4e00\u6b21\u5bf9\u201c\u6ce8\u610f\u529b\u7ecf\u6d4e\u201d\u7684\u6e29\u548c\u53cd\u6297\u2014\u2014\u7528\u88ab\u52a8\u6536\u542c\u66ff\u4ee3\u4e3b\u52a8\u5237\u5c4f\uff0c\u4f46\u5176\u5546\u4e1a\u6a21\u5f0f\uff08\u4e00\u6b21\u6027\u4ed8\u8d394.99\u7f8e\u5143\uff09\u4e0e\u53ef\u6301\u7eed\u6027\u5b58\u7591\uff1a\u8bed\u97f3\u5408\u6210API\u7684\u6301\u7eed\u8c03\u7528\u6210\u672c\u53ef\u80fd\u4fb5\u8680\u5229\u6da6\uff0c\u4e14\u529f\u80fd\u5355\u4e00\u7684\u6d4f\u89c8\u5668\u6269\u5c55\u7528\u6237\u7c98\u6027\u6709\u9650\u3002\n <\/p>\n<p class=\"ai-content\">\n \u4ea7\u54c1\u7531UX\u8bbe\u8ba1\u5e08\u501fAI\u4e4b\u529b\u5feb\u901f\u6784\u5efa\uff0c\u8fd9\u5c55\u73b0\u4e86\u539f\u578b\u9a8c\u8bc1\u7684\u65b0\u8303\u5f0f\uff0c\u4f46\u4e5f\u66b4\u9732\u4e86\u5176\u201c\u529f\u80fd\u73a9\u5177\u201d\u800c\u975e\u201c\u9700\u6c42\u521a\u9700\u201d\u7684\u98ce\u9669\u3002\u7528\u6237\u8bc4\u8bba\u4e2d\u5173\u4e8e\u201c\u7cbe\u9009\u5217\u8868\u201d\u3001\u201c\u63a8\u6587\u7b5b\u9009\u201d\u7684\u5efa\u8bae\uff0c\u6070\u6070\u63ed\u793a\u4e86\u5f53\u524d\u673a\u68b0\u6717\u8bfb\u6574\u4e2a\u65f6\u95f4\u7ebf\u7684\u7c97\u7cd9\u6027\u3002\u771f\u6b63\u7684\u75db\u70b9\u6216\u8bb8\u5e76\u975e\u201c\u542c\u6240\u6709\u63a8\u6587\u201d\uff0c\u800c\u662f\u201c\u9ad8\u6548\u83b7\u53d6\u9ad8\u4ef7\u503c\u4fe1\u606f\u201d\u3002\u82e5\u65e0\u6cd5\u89e3\u51b3\u4fe1\u606f\u8fc7\u6ee4\u4e0e\u667a\u80fd\u6458\u8981\uff0c\u8be5\u4ea7\u54c1\u5f88\u53ef\u80fd\u6ca6\u4e3a\u65b0\u9c9c\u611f\u9a71\u52a8\u7684\u4e00\u6b21\u6027\u6d88\u8d39\uff0c\u96be\u4ee5\u5f62\u6210\u7a33\u5b9a\u4e60\u60ef\u3002\u5176\u524d\u666f\u53d6\u51b3\u4e8e\u80fd\u5426\u4ece\u201c\u6717\u8bfb\u5de5\u5177\u201d\u8fdb\u5316\u6210\u201c\u542c\u89c9\u4fe1\u606f\u7b5b\u9009\u5f15\u64ce\u201d\uff0c\u5426\u5219\u6050\u5c06\u6b62\u6b65\u4e8e\u4e00\u4e2a\u7cbe\u5de7\u5374\u8106\u5f31\u7684\u6280\u672f\u6f14\u793a\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\">Xeder<\/span>\n <\/div>\n<div class=\"comment-content\">Xeder is a Chrome extension that reads your X\/Twitter timeline aloud using natural text-to-speech. Open X, press play, and your feed becomes audio. Listen while working, cooking, or commuting. Tweets are short, standalone, text-first. They work perfectly as audio. Like bite-sized podcast episodes from people you actually follow. Natural voices, playback controls, speed adjustment, automatic ad filtering, and scroll sync. Built by a UX designer using AI. $4.99 one-time.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Product Hunt! I’m Som, a UX designer who built Xeder to solve my own doomscrolling problem.<\/p>\n<p>The idea is simple: X\/Twitter is text-first, so unlike other social platforms, the content actually works as audio. I wanted to stay caught up with tech twitter but kept losing time to scrolling. So I built a thing that reads my feed to me while I do other stuff.<\/p>\n<p>I designed the full product (UX flows, UI, specs, architecture) and used Claude to write all the code. I’m not a developer, but I know how to design and spec a product well enough that AI can build it. The whole thing took about 2 weeks of evenings and weekends to go from idea to published on the Chrome Web Store.<\/p>\n<p>It’s $4.99 one-time because subscriptions for a simple utility feel wrong. You pay once, it’s yours.<\/p>\n<p>Would love any feedback on the product or the approach. Happy to answer questions about the build process too (:<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Congrats on the product and the launch! <\/p>\n<\/p>\n<p>Does it have an intro and an outro for each tweet? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Instead of a feed, can we have a curated list of people whose feeds we want to listen to as a podcast? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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>Can user select tweets that will be “read”? <\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>Love this, fellow maker here, also built JobsUncle with Claude. The one-time pricing model resonates, subscriptions for simple utilities do feel wrong. Great 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<\/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\/VJ2ZM74MLEDMTY\" class=\"app-title\">discli<\/a><\/p>\n<div class=\"one-liner\">Discord CLI for AI agents and humans<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">96<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>\u4e00\u6b3e\u4e3aAI\u667a\u80fd\u4f53\u548c\u4eba\u7c7b\u63d0\u4f9b\u7684Discord\u547d\u4ee4\u884c\u5de5\u5177\uff0c\u901a\u8fc7\u5728\u7ec8\u7aef\u76f4\u63a5\u64cd\u4f5c\uff0c\u89e3\u51b3\u4e86\u4f20\u7edfDiscord\u673a\u5668\u4eba\u6846\u67b6\u50f5\u786c\u3001\u5f00\u53d1\u7e41\u7410\u7684\u75db\u70b9\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u81ea\u52a8\u5316\u793e\u533a\u7ba1\u7406\u548c\u81ea\u4e3bAI\u5de5\u4f5c\u6d41\u573a\u666f\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\/4e34ef4f-bbb7-45fc-af9b-9dd9ee36bf54.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\/fe6f2cf9-3bd2-4420-84dd-21bcb10a0878.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\/7f46490a-fc7f-450c-911d-0d124a48a1e4.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\/43735015-8b5f-4388-9373-c09aa327e3d3.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\/f5304870-df98-4859-97bd-23fe538fd1c4.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\/1651d20a-b912-4117-ac1d-7b9a68b71c7c.png?auto=format\" class=\"media-content\" alt=\"\u4ea7\u54c1\u56fe\u7247\">\n <\/div>\n<\/p><\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Open Source<\/span><br \/>\n <span class=\"tag\">Developer Tools<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span><br \/>\n <span class=\"tag\">GitHub<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">Discord\u81ea\u52a8\u5316<\/span><br \/>\n <span class=\"tag\">AI\u667a\u80fd\u4f53\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u547d\u4ee4\u884c\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u5f00\u6e90\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u793e\u533a\u8fd0\u8425<\/span><br \/>\n <span class=\"tag\">\u673a\u5668\u4eba\u6846\u67b6\u66ff\u4ee3<\/span><br \/>\n <span class=\"tag\">\u6743\u9650\u7ba1\u7406<\/span><br \/>\n <span class=\"tag\">\u7ec8\u7aef\u5e94\u7528<\/span><br \/>\n <span class=\"tag\">\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316<\/span>\n <\/div>\n<div class=\"reviews-section\">\n<div class=\"review-item\">\n<div class=\"review-bubble\">\n <strong>\u7528\u6237\u8bc4\u8bba\u6458\u8981\uff1a<\/strong>\u7528\u6237\u8ba4\u53ef\u5176\u521b\u65b0\u6027\uff0c\u8ba4\u4e3a\u5b83\u907f\u5f00\u4e86\u91cd\u590d\u9020\u8f6e\u5b50\uff0c\u901a\u8fc7\u6743\u9650\u914d\u7f6e\u548c\u5ba1\u8ba1\u65e5\u5fd7\u89e3\u51b3\u4e86\u5b89\u5168\u62c5\u5fe7\u3002\u4e3b\u8981\u5173\u6ce8\u5176\u5b9e\u7528\u573a\u666f\uff0c\u8be2\u95ee\u662f\u7528\u4e8e\u7b80\u5355\u793e\u533a\u8fd0\u8425\u8fd8\u662f\u5b8c\u6574AI\u5de5\u4f5c\u6d41\u3002\u5f00\u53d1\u8005\u56de\u590d\u5df2\u96c6\u6210\u81f3\u5176AI\u9879\u76eePocketPaw\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 discli\u7684\u672c\u8d28\uff0c\u5e76\u975e\u53c8\u4e00\u4e2aDiscord\u673a\u5668\u4eba\u5305\u88c5\u5e93\uff0c\u800c\u662f\u4e00\u6b21\u5bf9AI\u667a\u80fd\u4f53\u4e0e\u73b0\u6709\u793e\u4ea4\u5e73\u53f0\u4ea4\u4e92\u8303\u5f0f\u7684\u201c\u964d\u7ef4\u91cd\u6784\u201d\u3002\u5b83\u654f\u9510\u5730\u6233\u4e2d\u4e86\u5f53\u524dAI Agent\u751f\u6001\u7684\u4e00\u4e2a\u5c34\u5c2c\u73b0\u5b9e\uff1a\u5f3a\u5927\u7684\u6a21\u578b\u80fd\u529b\u88ab\u7981\u9522\u5728\u7b28\u91cd\u3001\u88ab\u52a8\u7684\u201c\u4e8b\u4ef6-\u54cd\u5e94\u201d\u5f0f\u673a\u5668\u4eba\u6846\u67b6\u4e2d\u3002discli\u901a\u8fc7\u63d0\u4f9b\u4e00\u5957\u547d\u4ee4\u884c\u63a5\u53e3\uff0c\u5c06Discord\u7684\u64cd\u4f5c\u62bd\u8c61\u4e3a\u539f\u5b50\u5316\u7684\u7ec8\u7aef\u6307\u4ee4\uff0c\u8fd9\u5b9e\u9645\u4e0a\u662f\u4e3aAI\u667a\u80fd\u4f53\u521b\u9020\u4e86\u4e00\u4e2a\u201c\u53ef\u6267\u884c\u73af\u5883\u201d\u3002\n <\/p>\n<p class=\"ai-content\">\n \u5176\u771f\u6b63\u7684\u4ef7\u503c\u5728\u4e8e\u201c\u89e3\u8026\u201d\u4e0e\u201c\u8d4b\u80fd\u201d\u3002\u89e3\u8026\u7684\u662fAI\u903b\u8f91\u4e0e\u5e73\u53f0API\u7684\u5f3a\u7ed1\u5b9a\uff0c\u8ba9\u667a\u80fd\u4f53\u7684\u201c\u5927\u8111\u201d\u53ef\u4ee5\u8131\u79bb\u7e41\u7410\u7684\u5e95\u5c42\u4ea4\u4e92\u4ee3\u7801\uff1b\u8d4b\u80fd\u7684\u662f\u5c06Discord\u8fd9\u4e2a\u5e9e\u5927\u7684\u793e\u4ea4\u56fe\u8c31\u548c\u5b9e\u65f6\u901a\u4fe1\u7cfb\u7edf\uff0c\u76f4\u63a5\u53d8\u6210\u4e86AI\u7684\u201c\u624b\u811a\u201d\u548c\u201c\u611f\u77e5\u5668\u5b98\u201d\u3002\u5f00\u53d1\u8005\u5f3a\u8c03\u7684\u6743\u9650\u7ba1\u63a7\u3001\u5ba1\u8ba1\u65e5\u5fd7\u548c\u901f\u7387\u9650\u5236\uff0c\u5e76\u975e\u7b80\u5355\u7684\u529f\u80fd\u5806\u780c\uff0c\u800c\u662f\u4e3aAI\u667a\u80fd\u4f53\u5b89\u5168\u3001\u53ef\u63a7\u5730\u878d\u5165\u4eba\u7c7b\u793e\u7fa4\u6240\u8bbe\u8ba1\u7684\u5fc5\u8981\u201c\u793e\u4f1a\u89c4\u8303\u201d\u3002\u8fd9\u53cd\u6620\u51fa\u4ea7\u54c1\u601d\u7ef4\u5df2\u8d85\u8d8a\u6280\u672f\u5b9e\u73b0\uff0c\u89e6\u53ca\u4e86\u4eba\u673a\u534f\u4f5c\u7684\u4fe1\u4efb\u4e0e\u5b89\u5168\u6838\u5fc3\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u6311\u6218\u540c\u6837\u660e\u663e\u3002\u5c06\u9ad8\u7ea7\u522b\u7684AI\u51b3\u7b56\u4e0e\u4f4e\u7ea7\u522b\u7684CLI\u6307\u4ee4\u5bf9\u63a5\uff0c\u53ef\u80fd\u5f15\u5165\u65b0\u7684\u590d\u6742\u5c42\u3002\u5bf9\u4e8e\u4eba\u7c7b\u7528\u6237\u800c\u8a00\uff0c\u5728\u7ec8\u7aef\u7ba1\u7406Discord\u867d\u663e\u6781\u5ba2\uff0c\u4f46GUI\u7684\u76f4\u89c2\u6027\u727a\u7272\u662f\u5426\u503c\u5f97\uff0c\u4ecd\u9700\u5e02\u573a\u68c0\u9a8c\u3002\u5f53\u524d\u5b83\u66f4\u50cf\u662f\u4e00\u5757\u4e3aAI Agent\u5f00\u53d1\u8005\u51c6\u5907\u7684\u4e13\u4e1a\u79ef\u6728\uff0c\u800c\u975e\u9762\u5411\u5927\u4f17\u7684\u6d88\u8d39\u7ea7\u5de5\u5177\u3002\u5b83\u7684\u672a\u6765\uff0c\u53d6\u51b3\u4e8e\u80fd\u5426\u4ece\u201c\u8ba9AI\u7528Discord\u201d\u7684\u5de5\u5177\uff0c\u8fdb\u5316\u6210\u4e3a\u201c\u8ba9AI\u5728Discord\u4e2d\u81ea\u4e3b\u534f\u4f5c\u201d\u7684\u751f\u6001\u57fa\u77f3\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\">discli<\/span>\n <\/div>\n<div class=\"comment-content\">Give your AI agent a Discord account. discli lets agents send messages, react, manage threads, moderate \u2014 all from the terminal. Built with permission profiles, audit logging, and rate limiting so agents can’t go rogue. Works just as well for humans who want to script and automate Discord without a GUI.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">\n<p>this is actually a cool take. i like that you are not trying to make \u201canother discord bot framework\u201d and instead giving agents a cleaner way to interact with discord directly. the permission profiles and audit logs part also makes it feel way more practical, because that\u2019s exactly the kind of thing people would worry about first.<\/p>\n<p>curious, what are people using it for first in real life, simple community ops stuff or full blown agent 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<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@nayan_surya98\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@nayan_surya98<\/a> Thanks for the words, <\/p>\n<p>it is now integrated in pocketpaw <a href=\"https:\/\/github.com\/pocketpaw\/pocketpaw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/github.com\/pocketpaw\/pocketpaw<\/a><br \/>where you just need to add your discord api token, then just start teh channel and get your own agent working in discord <\/p>\n<p>it can be integrated in any ai agent<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>0<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Product Hunt!<\/p>\n<p>I built discli because I was frustrated with how Discord bots work.<\/p>\n<p>I work on PocketPaw (<a href=\"https:\/\/github.com\/pocketpaw\/pocketpaw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/github.com\/pocketpaw\/poc…<\/a>), a self-hosted AI agent that runs on your machine with support for Discord, Slack, Telegram, and more. When I was working on the Discord channel, I hit a wall. Every Discord bot library forces you into if-else chains. “If message contains X, reply Y.” That’s not how an AI agent should work. An agent should think and act on its own. Send messages, react, create threads, moderate, without being hardcoded for every scenario.<\/p>\n<p>So I pulled the Discord layer out into its own tool: discli.<\/p>\n<p>It’s a CLI that gives any AI agent (or human) full access to Discord from the terminal. Your agent just runs commands. No bot framework, no event handler boilerplate.<\/p>\n<p>What makes it different:<\/p>\n<p>– Works with any AI agent. Claude, GPT, LangChain, or a bash script. If it can run a command, it can use Discord.<br \/>\n– Security built in. Permission profiles (readonly\/chat\/full), audit logging, rate limiting, and confirmation prompts for destructive actions. Your agent can’t accidentally ban your entire server.<br \/>\n– discli serve mode. Persistent bidirectional JSONL connection for building full bots with streaming responses, slash commands, and real-time events.<br \/>\n– Human-friendly too. Manage your Discord server entirely from the terminal. No GUI needed.<\/p>\n<p>Open source, pip install discord-cli-agent, works on macOS, Linux, and Windows.<\/p>\n<p>Would love your feedback. What would you build with it?<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@rohitk06\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@rohitk06<\/a> I hope that it could save so much time for managing servers and bots. Best wishes <\/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\">#20<\/div>\n<div class=\"title-group\">\n <a href=\"https:\/\/www.producthunt.com\/r\/7AHFZSLFRJ6ZVB\" class=\"app-title\">AgreeGuard<\/a><\/p>\n<div class=\"one-liner\">AI reads the fine print before you click “I Agree”<\/div>\n<\/p><\/div>\n<div class=\"vote-btn\">\n<div class=\"vote-arrow\">\u25b2<\/div>\n<div class=\"vote-count\">89<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"one-liner\"><strong>\u4e00\u53e5\u8bdd\u4ecb\u7ecd\uff1a<\/strong>\u4e00\u6b3e\u514d\u8d39\u7684Chrome\u6269\u5c55\uff0c\u5229\u7528AI\u5728\u7528\u6237\u70b9\u51fb\u201c\u540c\u610f\u201d\u524d\uff0c\u5feb\u901f\u5206\u6790\u5e76\u9ad8\u4eae\u63d0\u793a\u670d\u52a1\u6761\u6b3e\u4e2d\u7684\u5173\u952e\u98ce\u9669\u70b9\uff0c\u89e3\u51b3\u4e86\u4eba\u4eec\u5728\u7f51\u7edc\u6ce8\u518c\u65f6\u56e0\u6761\u6b3e\u5197\u957f\u590d\u6742\u800c\u88ab\u8feb\u201c\u76f2\u7b7e\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\/ecd7c93d-d52c-49dd-abe0-2d01312f2d74.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\/0b2e4099-c2a2-44ed-b012-397b6dc9eadc.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\/b4ff2d9e-4b78-466d-a939-27670d8fe896.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\/4bd408a7-0fe6-4a5b-aaa5-0cc13fdb9784.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\/151ebb0d-bf8d-4b04-be23-fd37cb6a3edf.jpeg?auto=format\" data-video-url=\"https:\/\/www.youtube.com\/watch?v=o6ncyT2Y0JQ\"><source src=\"https:\/\/www.youtube.com\/watch?v=o6ncyT2Y0JQ\" 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\">Privacy<\/span><br \/>\n <span class=\"tag\">Artificial Intelligence<\/span>\n <\/div>\n<div class=\"tags-container\">\n<p> <span class=\"tag\">\u6d4f\u89c8\u5668\u6269\u5c55<\/span><br \/>\n <span class=\"tag\">AI\u5206\u6790<\/span><br \/>\n <span class=\"tag\">\u670d\u52a1\u6761\u6b3e\u89e3\u8bfb<\/span><br \/>\n <span class=\"tag\">\u9690\u79c1\u4fdd\u62a4<\/span><br \/>\n <span class=\"tag\">\u98ce\u9669\u63d0\u793a<\/span><br \/>\n <span class=\"tag\">\u6d88\u8d39\u8005\u6743\u76ca<\/span><br \/>\n <span class=\"tag\">\u81ea\u52a8\u5316\u5de5\u5177<\/span><br \/>\n <span class=\"tag\">\u6cd5\u5f8b\u79d1\u6280<\/span><br \/>\n <span class=\"tag\">\u900f\u660e\u5ea6\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\u6838\u5fc3\u4ef7\u503c\uff0c\u8ba4\u4e3a\u9700\u6c42\u771f\u5b9e\u3002\u4e3b\u8981\u95ee\u9898\u805a\u7126\u4e8e\uff1a\u5206\u6790\u8986\u76d6\u573a\u666f\uff08\u662f\u5426\u652f\u6301\u5f39\u7a97\u6761\u6b3e\uff09\u3001\u5386\u53f2\u534f\u8bae\u56de\u6eaf\u5206\u6790\u53ef\u884c\u6027\u3001AI\u8bc6\u522b\u7684\u51c6\u786e\u6027\u4e0e\u6df1\u5ea6\uff08\u80fd\u5426\u53d1\u73b0\u9690\u853d\u6761\u6b3e\uff09\uff0c\u4ee5\u53ca\u8f93\u51fa\u662f\u5177\u4f53\u6761\u6b3e\u8fd8\u662f\u98ce\u9669\u8bc4\u5206\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 AgreeGuard \u7784\u51c6\u4e86\u4e00\u4e2a\u5e7f\u6cdb\u5b58\u5728\u7684\u201c\u8ba4\u77e5\u61d2\u60f0\u201d\u4e0e\u201c\u6743\u529b\u4e0d\u5bf9\u7b49\u201d\u7684\u771f\u7a7a\u5730\u5e26\u3002\u5176\u771f\u6b63\u4ef7\u503c\u5e76\u975e\u63d0\u4f9b\u4e00\u4efd\u6ef4\u6c34\u4e0d\u6f0f\u7684\u6cd5\u5f8b\u610f\u89c1\u2014\u2014\u5b83\u660e\u786e\u58f0\u660e\u4e0d\u66ff\u4ee3\u9605\u8bfb\u2014\u2014\u800c\u5728\u4e8e\u5145\u5f53\u4e00\u4e2a\u201c\u6570\u5b57\u60ca\u9192\u5668\u201d\u3002\u4ea7\u54c1\u806a\u660e\u5730\u5c06\u201c\u603b\u7ed3\u5168\u6587\u201d\u8fd9\u4e00AI\u4e0d\u64c5\u957f\u7684\u590d\u6742\u4efb\u52a1\uff0c\u964d\u7ef4\u6210\u201c\u6807\u8bb0\u5df2\u77e5\u98ce\u9669\u6a21\u5f0f\u201d\uff0c\u5982\u81ea\u52a8\u7eed\u8d39\u3001\u6570\u636e\u8f6c\u552e\u3001\u653e\u5f03\u6cd5\u5f8b\u6743\u5229\u7b49\u3002\u8fd9\u4e00\u5b9a\u4f4d\u4f7f\u5176\u5728\u5b9e\u7528\u6027\u4e0e\u6cd5\u5f8b\u98ce\u9669\u95f4\u53d6\u5f97\u4e86\u5e73\u8861\u3002\n <\/p>\n<p class=\"ai-content\">\n \u7136\u800c\uff0c\u5176\u6df1\u5c42\u6311\u6218\u5728\u4e8e\u201c\u4fe1\u4efb\u4ee3\u7406\u201d\u89d2\u8272\u7684\u53ef\u6301\u7eed\u6027\u3002\u9996\u5148\uff0cAI\u7684\u201c\u51c6\u786e\u6027\u201d\u9ed1\u7bb1\u4e0e\u6cd5\u5f8b\u6761\u6b3e\u7684\u201c\u89e3\u91ca\u6743\u201d\u7070\u7bb1\u53e0\u52a0\uff0c\u53ef\u80fd\u4ea7\u751f\u8bef\u5bfc\u6027\u5b89\u5168\u9519\u89c9\u3002\u5176\u6b21\uff0c\u5176\u5546\u4e1a\u6a21\u5f0f\u9690\u542b\u77db\u76fe\uff1a\u4f5c\u4e3a\u514d\u8d39\u5de5\u5177\uff0c\u5b83\u63ed\u9732\u4f01\u4e1a\u5229\u7528\u590d\u6742\u6761\u6b3e\u8bbe\u7f6e\u7684\u5546\u4e1a\u201c\u9677\u9631\u201d\uff1b\u4f46\u82e5\u672a\u6765\u5411\u4f01\u4e1a\u7aef\u6536\u8d39\u8f6c\u578b\u4e3a\u201c\u5408\u89c4\u8ba4\u8bc1\u201d\u5de5\u5177\uff0c\u5176\u4e2d\u7acb\u6027\u5c06\u9762\u4e34\u8003\u9a8c\u3002\u6700\u540e\uff0c\u5b83\u7684\u6210\u529f\u53ef\u80fd\u4fc3\u4f7f\u670d\u52a1\u6761\u6b3e\u64b0\u5199\u8005\u53d1\u5c55\u51fa\u66f4\u9690\u853d\u7684\u201c\u53cdAI\u8bc6\u522b\u201d\u8bdd\u672f\uff0c\u9677\u5165\u653b\u9632\u6218\u3002\n <\/p>\n<p class=\"ai-content\">\n \u672c\u8d28\u4e0a\uff0c\u5b83\u662f\u4e00\u6b3e\u201c\u75c7\u72b6\u7f13\u89e3\u5242\u201d\u800c\u975e\u201c\u95ee\u9898\u89e3\u51b3\u5242\u201d\u3002\u5b83\u63ed\u793a\u4e86\u7f51\u7edc\u65f6\u4ee3\u683c\u5f0f\u5408\u540c\u5df2\u6ca6\u4e3a\u5355\u65b9\u58f0\u660e\uff0c\u800c\u975e\u53cc\u65b9\u5408\u610f\u7684\u672c\u8d28\u3002\u5b83\u7684\u6d41\u884c\u662f\u5bf9\u5f53\u524d\u5546\u4e1a\u5b9e\u8df5\u7684\u4e00\u79cd\u5c16\u9510\u8bbd\u523a\uff0c\u4e5f\u662f\u6280\u672f\u5bf9\u5236\u5ea6\u5931\u7075\u7684\u4e00\u79cd\u8fc2\u56de\u8865\u6551\u3002\u5176\u957f\u671f\u751f\u5b58\u4e0d\u4ec5\u53d6\u51b3\u4e8e\u6280\u672f\u7cbe\u5ea6\uff0c\u66f4\u53d6\u51b3\u4e8e\u80fd\u5426\u5728\u6d88\u8d39\u8005\u89c9\u9192\u4e0e\u5546\u4e1a\u4f26\u7406\u4e4b\u95f4\uff0c\u627e\u5230\u4e00\u4e2a\u4e0d\u81ea\u6211\u74e6\u89e3\u7684\u652f\u70b9\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\">AgreeGuard<\/span>\n <\/div>\n<div class=\"comment-content\">91% of people accept terms and conditions without reading them. AgreeGuard is a free Chrome extension that reads the fine print for you. One click, and in under 15 seconds you get a plain-English summary with red flags highlighted auto-renewals, data selling, hidden fees, waived legal rights, and privacy concerns. Works on any website. No account needed.<\/div>\n<\/p><\/div>\n<p> <!-- \u8bc4\u8bba\u5217\u8868 --><\/p>\n<div class=\"comment-item\">\n<div class=\"comment-content\">Hey Product Hunt! we are Assad & Arefin, the developers of AgreeGuard.<\/p>\n<p>We built this because we were tired of blindly clicking “I Agree” on every website. The average Terms of Service is 4,000+ words of dense legal jargon \u2014 longer than most short stories. And buried in there are clauses about auto-renewals, data sharing with third parties, binding arbitration, and more.<\/p>\n<p>We asked ourselves: what if AI could read the fine print for you?<\/p>\n<p>That’s AgreeGuard. One click, and in under 10-15 seconds you get a clear summary with red flags highlighted. It’s already helped users catch $500 auto-renewal traps and hidden data-sharing clauses.<\/p>\n<p>The free tier gives you 5 days of unlimited exploratory experience & 2 analyses\/day after 5 days trial ends \u2014 enough to check the sites you sign up for daily. No credit card needed.<\/p>\n<p>Would love your feedback \u2014 what features would make this more useful for you?<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>3<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@aethorn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@aethorn<\/a> This is actually a really clever idea. Most people definitely just click \u201cI Agree\u201d without reading anything.<\/p>\n<\/p>\n<p>Highlighting red flags like auto renewals and data sharing could save people a lot of headaches.<\/p>\n<\/p>\n<p>Curious – does AgreeGuard work only when the ToS page is opened, or can it also analyze the popup consent forms many websites show during signup?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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\">Highlighting data selling and hidden fees in plain English is exactly the kind of transparency most companies hope you’ll skip past. The “red flags” framing is smart because it filters for what actually matters instead of summarizing the whole document.<\/p>\n<p>Does it work retroactively on services you’ve already agreed to? Would be interesting to run it against apps you’re already paying for and see what you actually signed up for.<\/p><\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-vote\">\n <span>\u25b2<\/span><br \/>\n <span>1<\/span>\n <\/div>\n<p> <span>\u56de\u590d<\/span>\n <\/div>\n<div class=\"comment-replies\">\n<div class=\"reply-item\">\n<div class=\"reply-content\">\n<p><a href=\"https:\/\/www.producthunt.com\/@krisba95\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@krisba95<\/a> Thanks Christian! You nailed exactly why we built it that way \u2014 nobody wants to read a 4,000-word summary. They want to know “what should I actually worry about?”<\/p>\n<\/p>\n<p>Great question on retroactive use \u2014 yes, it works! Just visit any sign in\/signup page page (like <a href=\"http:\/\/claude.ai\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">claude.ai<\/a> or <a href=\"http:\/\/x.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">x.com<\/a>) and AgreeGuard will analyze it on the spot. It will work if you are about to sign in or sign up – both. Because it detects the auth buttons and guards it – so when you click on them – boom AgreeGuard initialize its analysis. Here you can check the video: <a href=\"https:\/\/youtu.be\/o6ncyT2Y0JQ\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/youtu.be\/o6ncyT2Y0JQ<\/a><\/p>\n<\/p>\n<p>So you can absolutely audit services you’re already paying for. Actually, that’s one of the more eye-opening use cases – people run it on apps they’ve used for years and are surprised by what they agreed to without knowing.<\/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\">@aethorn definitly will try! thanks for detailed response<\/div>\n<div class=\"comment-actions\">\n<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 have clicked “I Agree” thousands of times without reading a single line. The idea of getting a 15-second summary with red flags sounds almost too convenient. How accurate is it with longer or more complex terms \u2014 does it catch the subtle stuff buried deep in the text, or mostly the obvious patterns?<\/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\/@klara_minarikova\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@klara_minarikova<\/a> Great question!<\/p>\n<\/p>\n<p>It\u2019s actually quite good at catching subtle things like subtle stuff, sneaky auto-renewals, or vague data-sharing permissions.<\/p>\n<\/p>\n<p>That said, we\u2019re transparent about it: every result is labeled as an AI-generated summary. For most everyday terms (SaaS, social media, e-commerce), it reliably surfaces what people usually miss. For highly complex legal docs, we still recommend checking the full text\u2014which is why we include a \u201cRead Full Terms\u201d option.<\/p>\n<\/p>\n<p>The goal isn\u2019t to replace reading, but to make sure you spot the red flags before hitting \u201cI Agree.\u201d That alone is a big step up from how most of us use terms today \ud83d\ude04<\/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>Nobody actually reads those walls of text. This is one of those tools where the use case sells itself. Does it flag specific clauses or just give an overall risk score?<\/p>\n<\/div>\n<div class=\"comment-actions\">\n<div class=\"comment-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<\/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 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target.className.includes('control')) {\n isControlClick = true;\n break;\n }\n target = target.parentElement;\n }<\/p>\n<p> if (!isControlClick) {\n e.preventDefault();\n const videoUrl = this.getAttribute('data-video-url') || this.querySelector('source').src;\n window.open(videoUrl, '_blank');\n }\n }, { passive: false });\n }\n });<\/p>\n<p> \/\/ \u4e3a\u89c6\u9891\u906e\u7f69\u6dfb\u52a0\u70b9\u51fb\u4e8b\u4ef6\uff0c\u786e\u4fdd\u70b9\u51fb\u906e\u7f69\u4e5f\u80fd\u8df3\u8f6c\n const videoOverlays = document.querySelectorAll('.video-overlay');\n videoOverlays.forEach(overlay => {\n overlay.onclick = function(e) {\n \/\/ \u963b\u6b62\u4e8b\u4ef6\u5192\u6ce1\u5230\u89c6\u9891\u5143\u7d20\n e.stopPropagation();\n const video = this.parentElement.querySelector('video.media-content');\n if (video) {\n const videoUrl = video.getAttribute('data-video-url') || video.querySelector('source').src;\n window.open(videoUrl, '_blank');\n }\n }<\/p>\n<p> \/\/ 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