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Gemini can now natively embed video, so I built sub-second video search

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Gemini 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.

HN · launched Mar 24, 2026 · 438 upvotes (top 1%) · 0 views

Niche: multimedia and records search engines · 74 launches, 4 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes It acts as a thin CLI wrapper around Google's Gemini Embedding 2 API and a vector store like LanceDB, SQLite-vec, or Qdrant to enable vector similarity search on video clips.

Discussion

20 comments analyzed.

Competitors mentioned: sentinelsearch (local alternative), Anime similarity search tools

Concerns raised: 768 dimensional space insufficiency for video comparison, Privacy implications of automatic facial recognition, Thresholding challenges at scale, Cost structure concerns despite affordability

Feature requests: Local model support/integration, Thresholding improvements for scalability

Competitors

Other products that read as similar to this one : 346 launches clear the similarity bar, closest 8 shown.

Attention rank: #7 of 347 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 146 days after the earliest competitor.

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