learned_index_lab
High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
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GITHUB · launched Oct 15, 2026 · 147 upvotes (top 9%)
- Horizontal
- Data infrastructure
- Developer
- AI feature
- Hobby / open-source project
Similar launches
See all 2113 similar launches →Could you build this?
Partial The PGM learned index is a published algorithm, so a correct implementation in Rust is feasible with AI help. However, achieving high performance and robust epsilon-bounded behavior across real workloads needs systems and database expertise.
What it would actually take: The core is the PGM-index construction (optimal piecewise linear segmentation with an epsilon bound) plus a multi-level search structure, which can be followed from the published paper. Getting it production-grade requires benchmarking on realistic key distributions, cache-aware memory layout, and fuzz and property testing of the error guarantees. That work needs database internals and performance engineering experience.
Competitors
Other products that read as similar to this one : 2113 launches clear the similarity bar, closest 8 shown.
Attention rank: #194 of 2114 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 351 days after the earliest competitor.
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- kividb · github · 2026-10-16 · 316 upvotes · similarity 0.59
- Mnemo · hn · 2026-06-03 · 60 upvotes · similarity 0.58
- GitHub · hn · 2026-01-16 · 6 upvotes · similarity 0.58
- Cargo-rail: graph-aware monorepo tooling for Rust; 11 deps · hn · 2025-12-10 · 61 upvotes · similarity 0.57
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More details
- External ID
- 1421433699
- Company
- n/a
- Product
- learned_index_lab
- Website domain
- github.com
- Cohort
- n/a
- Upvotes percentile
- 0.91
- All tags
- n/a
- AI summary
- pgm learned index implementation in rust for developers
- Manually corrected
- No