MomentClip
Hey HN, I wanted a way to search across multiple YouTube videos at once, find every time someone discusses a topic, compare how different creators explain the same concept, or pull all mentions of a keyword across a channel's archive. The interesting part: it uses Gemini's multimodal capabilities to search visually, not just transcripts. So you can find "the whiteboard diagram" or "when he shows the demo", things transcript-based tools completely miss. Stack: Next.js, Convex, Clerk, Gemini 3 Flash Would love feedback from anyone who works with video content. https://momentclip.com
MomentClip launched on January 6, 2026 with 7 votes, #1,609 of 14,584 launches that month and more than 90% of that year's launches.
What it does
Stop scrubbing through hours of video. Paste any YouTube URL, describe the moment you need: "the product demo," "when they get emotional," "every mention of AI" and get timestamped clips. Works for research, video essays, or social media clips. Our multimodal AI searches visuals too, not just transcripts. Your videos, finally searchable.
Find the exact moment in any YouTube video instantly. Search by topic, dialogue, or visual. AI-powered clip discovery for video essayists, researchers, and creators.
Search YouTube videos with natural language to find any moment - by topic, dialogue or visual. MomentClip is Ctrl+F for YouTube videos. Describe any moment in natural language - by topic, dialogue, or visual content - and AI finds it instantly. No more scrubbing through hours of footage. Searches both audio and visuals. Finds charts, demos, reactions - not just transcript keywords. Ask for "when they discuss pricing" or "the whiteboard explanation" - no boolean operators needed. Fine-tune boundaries with +/- 2 second controls. Download 1080p full-quality clips. Search across multiple videos at once. Research a creator's library or compare sources. Every analyzed video becomes instantly…from momentclip.com
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Gemini can now natively embed video, so I built sub-second video searchMar 2026 · github.com · ▲438Gemini Embedding 2 can project raw video directly into a 768-dimensional vector space alongside text. No transcription, no frame captioning, no intermediate text. A query like "green car cutting me off" is directly comparable to a 30-second video clip at the vector level. I used this to build a CLI that indexes hours of footage into ChromaDB, then searches it with natural language and auto-trims the matching clip. Demo video on the GitHub README. Indexing costs ~$2.50/hr of footage. Still-frame detection skips idle chunks, so security camera / sentry mode footage is much cheaper.
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Hi there! When Supabase announced their recent hackathon, I thought it was a good time to build something to learn more about so many of the new AI models and tech out there. From the different techniques of embedding documents to the future RAG. With the rise of short form content with TikTok and Youtube. A lot more knowledge is in videos than ever before. Finding specific answers within millions of videos can be difficult for any one person to go through. So the question is if there is Google that indexes text on website making it easier to find based on the context of on your question,…
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