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SatoriDB

Query 1B vectors on a laptop (SQLite for embeddings, Rust)

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HN · launched Dec 30, 2025 · 5 upvotes (top 90%) · 0 views

Niche: database management systems and engines · 162 launches, 5 in the last 7 days ▼ -17% · 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 Executing billion-scale vector similarity search on consumer hardware requires deep systems engineering, advanced low-level vector quantization algorithms, and cache-friendly SIMD Rust programming.

What it would actually take: Requires an embedded database architecture in Rust using advanced quantization (Product Quantization, RaBitQ, or Scalar Quantization) to compress high-dimensional vectors to fit in memory or SSD. It demands custom disk-backed approximate nearest neighbor (ANN) graph indices (like DiskANN), manual SIMD intrinsics (AVX-512/NEON), memory-mapped I/O, and fine-grained concurrency controls.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one : 1961 launches clear the similarity bar, closest 8 shown.

Attention rank: #1779 of 1962 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 62 days after the earliest competitor.

  • kividb · github · 2026-10-16 · 316 upvotes · similarity 0.65
  • KiviDB · ph · 2026-11-04 · 2 upvotes · similarity 0.59
  • LaminarDB · hn · 2026-02-18 · 6 upvotes · similarity 0.59
  • Mnemo · hn · 2026-06-03 · 60 upvotes · similarity 0.58
  • Aion a Rust Database · hn · 2026-05-14 · 6 upvotes · similarity 0.57
  • AnamDB · hn · 2026-05-08 · 11 upvotes · similarity 0.56
  • IndexFlow · hn · 2026-08-28 · 22 upvotes · similarity 0.56
  • Liteparser · hn · 2026-03-11 · 5 upvotes · similarity 0.56

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