metalean
Verified Lean typechecker
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GITHUB · launched Sep 18, 2026 · 11 upvotes (top 68%) · 0 views
Niche: code and binary analysis tools · 118 launches, 4 in the last 7 days ▼ -56% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- Not AI
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 118 launches in code and binary analysis tools →
Could you build this?
No Writing a formally verified typechecker for the Lean theorem prover requires deep theoretical computer science, type theory, and formal proof verification expertise.
What it would actually take: A verified typechecker is implemented in a proof assistant like Lean or Coq, formally proving sound and terminating type inference and kernel reduction rules against the calculus of inductive constructions. It requires advanced academic expertise in dependent type theory and formal verification techniques that LLMs frequently hallucinate on.
Competitors
Other products that read as similar to this one : 1370 launches clear the similarity bar, closest 8 shown.
Attention rank: #914 of 1371 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 322 days after the earliest competitor.
- ConZF · github · 2026-09-18 · 17 upvotes · similarity 0.61
- Verified Deep Learning with Lean 4 · hn · 2026-04-21 · 6 upvotes · similarity 0.60
- lean-leanfran · github · 2026-11-08 · 19 upvotes · similarity 0.58
- genpark-type-checker-hindley-milner-skill · github · 2026-09-28 · 7 upvotes · similarity 0.57
- Algebruh · hn · 2026-08-08 · 14 upvotes · similarity 0.56
- hermes-nerve · github · 2026-09-18 · 13 upvotes · similarity 0.56
- Viveka: filter LLM output against a Lean-verified Advaita Vedanta model · hn · 2026-06-02 · 7 upvotes · similarity 0.56
- Stacks · github · 2026-11-04 · 127 upvotes · similarity 0.56
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.