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Today: 1,008 launches · Niche of the day: specialized calculation tools · See what launched today →

Lemmafit: Make agents prove that their code is correct

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HN · launched Mar 8, 2026 · 7 upvotes (top 59%) · 1 view

Niche: automated code review tools · 204 launches, 7 in the last 7 days ▼ -22% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No Automating formal software verification where AI coding agents produce and prove mathematical lemmas regarding program correctness requires deep research expertise in formal methods and automated theorem provers.

What it would actually take: The system must translate generated code into formal specifications consumable by interactive theorem provers (like Lean, Coq, Isabelle) or SMT solvers (Z3). An agentic feedback loop must iteratively formulate invariant claims, generate proof steps, and interpret solver errors to achieve machine-checked proof certificates. This requires specialized knowledge in formal verification, type theory, and proof assistant tooling.

Discussion

5 comments analyzed.

Competitors mentioned: Dafny (direct alternative for formal verification)

Concerns raised: Proofs can take over 20 minutes to complete, LLM doesn't get proofs right in one shot, requires iteration, Limited analysis on LLM proof correctness without special prompting, Unclear how often proofs succeed without intervention

Feature requests: Worked examples showing simple project derivation with TypeScript and Dafny, Case studies demonstrating real-world usage, Better documentation for users unfamiliar with Dafny

Competitors

Other products that read as similar to this one : 3408 launches clear the similarity bar, closest 8 shown.

Attention rank: #1907 of 3409 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 130 days after the earliest competitor.

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