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I embedded 10M StreetView images

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HN · launched Dec 25, 2025 · 14 upvotes (top 41%) · 0 views

Niche: computer vision software and models · 225 launches, 11 in the last 7 days ▼ -45% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • AI feature
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Scraping, processing, and generating embeddings for 10 million Street View images requires substantial compute infrastructure, high API/proxy costs, and specialized vector indexing at scale.

What it would actually take: Requires a distributed data ingestion pipeline to query or scrape 10M panoramic images, a large GPU cluster running vision embedding models (e.g., CLIP or SigLIP), and a high-performance vector index (HNSW/Faiss/ScaNN). The browser UI requires custom WebGL/Three.js point cloud rendering with spatial level-of-detail (LOD) tiling to display millions of coordinates smoothly. Needs substantial cloud infrastructure funding, distributed data processing, and large-scale 3D graphics expertise.

Discussion

5 comments analyzed.

Competitors mentioned: Thinking Machines' Tinker API

Concerns raised: Error is quite high, often in the tens of thousands of km, Some images are upside-down, Model prone to overfitting

Feature requests: Ability to win at geoguesser, Distill expert knowledge (like Rainbolt's approach) into model

Competitors

Other products that read as similar to this one : 662 launches clear the similarity bar, closest 8 shown.

Attention rank: #232 of 663 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 54 days after the earliest competitor.

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