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Vecstore

Smart search API for your data

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Vecstore is a search API for images and text. Users can search by uploading a photo or describing what they want, like "green velvet armchair with wooden legs", even when nothing was tagged. Hybrid ranking keeps exact matches on top. Queries take 3ms on 10M records.

PH · launched Oct 26, 2026 · 2 upvotes (top 22%) · 0 views

Niche: niche search tools and widgets · 85 launches, 3 in the last 7 days ▼ -70% · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • Developer
  • AI-native
  • Commercial product
  • API
  • User Experience
  • Artificial Intelligence

Visit website ↗ Source listing ↗

Could you build this?

Partial A search API wrapping existing embedding models and a vector database is standard, but hybrid ranking with 3ms latency on 10M records requires serious indexing and infrastructure work.

What it would actually take: Use an off-the-shelf multimodal embedding model (e.g., CLIP-style) with a vector store like Qdrant, Milvus, or pgvector, plus a keyword index for hybrid ranking. A basic version is quick to build. Matching the latency and scale claims means tuning ANN indexes, sharding, caching, and running reliable multi-tenant infrastructure, which is the hard part.

Competitors

Other products that read as similar to this one : 38 launches clear the similarity bar, closest 8 shown.

Attention rank: #3 of 39 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 270 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.