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Proof Bug Minimizer
Build a developer tool that reduces large proof artifacts to minimal reproductions when a verifier accepts an invalid statement or crashes. This targets maintainers of theorem provers, type checkers, and proof-heavy developer tools who need faster incident triage and clearer bug reports.
Why this matters
When a soundness issue appears, the first challenge is often not fixing it but shrinking the reproducer into something maintainers can reason about. Flashy examples, AI-generated noise, and huge tactic traces all waste time during the most trust-sensitive part of the incident. You may know a bug exists, but turning that into a minimal failing case can still take hours or days of expert effort. Existing reducers are often general-purpose and not proof-aware, so they miss semantic opportunities to simplify aggressively. A specialized minimizer would help maintainers move from alarming headline to root cause much faster.
- · Built for Maintainers of theorem provers, typed language compilers, and advanced proof automation tooling who investigate soundness issues and regression reports..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
When a soundness issue appears, the first challenge is often not fixing it but shrinking the reproducer into something maintainers can reason about. Flashy examples, AI-generated noise, and huge tactic traces all waste time during the most trust-sensitive part of the incident. You may know a bug exists, but turning that into a minimal failing case can still take hours or days of expert effort. Existing reducers are often general-purpose and not proof-aware, so they miss semantic opportunities to simplify aggressively. A specialized minimizer would help maintainers move from alarming headline to root cause much faster.
Score Breakdown
Market Signal
Go-to-Market
Core maintainers of theorem provers and typed compiler teams that regularly triage bug reports involving accepted invalid programs or proofs.
Likely only a few thousand serious users worldwide
cold outbound
$49/month
Secure 3 maintainers willing to use the tool on real bug reports within 30 days
MVP Scope · 1–2 weeks
- Implement a reducer loop that removes proof fragments while preserving the target failure condition
- Support one initial theorem prover format and one typed language testcase format
- Build a command-line interface with reproducibility snapshots
- Store reduction steps and output sizes for comparison
- Test on 10 historical public bug artifacts
- Add semantic-aware reduction heuristics specific to the first supported prover
- Generate a maintainer-friendly HTML report with minimized artifact and environment details
- Integrate with GitHub issues for one-click report creation
- Add version bisect support to identify when the bug was introduced
- Interview maintainers and refine reduction speed versus minimality tradeoffs
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The need is intense but infrequent, making recurring revenue harder to sustain.
- 2Proof systems differ enough that expansion beyond one ecosystem may be slow and costly.
- 3Maintainers of open-source infrastructure may expect such tooling to be free.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
The thread explicitly highlighted a preference for small proofs of contradiction rather than noisy demonstrations tied to headline-worthy claims. Comments also framed the bug as a contained oversight in a compact kernel, reinforcing that faster localization and reproduction matter operationally. This suggests a real but narrower tooling opportunity around reduction and incident triage.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Validate
Promising signals, but needs confirmation. Create a landing page, collect email sign-ups, then decide.
Landing Page Copy Kit
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Headline
Proof Bug Minimizer
Sub-headline
Build a developer tool that reduces large proof artifacts to minimal reproductions when a verifier accepts an invalid statement or crashes. This targets maintainers of theorem provers, type checkers, and proof-heavy developer tools who need faster incident triage and clearer bug reports.
Who It's For
For Maintainers of theorem provers, typed language compilers, and advanced proof automation tooling who investigate soundness issues and regression reports.
Feature List
✓ Automated testcase reduction for proof artifacts ✓ Root-cause clustering across versions and configurations ✓ One-click bug report bundles for maintainers
Where to Validate
Share your landing page in r/HN · front_page — that's exactly where these pain points were discovered.
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