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Proof Trust Monitor for CI
Build a SaaS layer that continuously revalidates formal proof artifacts across verifier versions and independent checkers, then reports trust status in CI. The buyer is any team using theorem provers in research, compilers, cryptography, or safety-critical software that wants early warning when a soundness bug invalidates prior confidence.
Why this matters
You ship or rely on formally checked results because the whole point is stronger assurance than ordinary testing. Then a kernel soundness incident lands, and suddenly the question is no longer whether your proof passed once, but whether it still deserves trust today. You can manually rerun checks, compare outputs across implementations, and hope your team stays current on all the moving parts, but that process is tedious and easy to miss. The pain is worst when proofs are large, tactic-heavy, or AI-assisted, because reading them directly is not a realistic fallback. What you need is not another prover, but a live trust layer that tells you when confidence drops and why.
- · Built for Research engineering teams, formal methods groups, cryptography teams, and advanced OSS maintainers who depend on machine-checked proofs and need ongoing assurance rather than one-time verification..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
You ship or rely on formally checked results because the whole point is stronger assurance than ordinary testing. Then a kernel soundness incident lands, and suddenly the question is no longer whether your proof passed once, but whether it still deserves trust today. You can manually rerun checks, compare outputs across implementations, and hope your team stays current on all the moving parts, but that process is tedious and easy to miss. The pain is worst when proofs are large, tactic-heavy, or AI-assisted, because reading them directly is not a realistic fallback. What you need is not another prover, but a live trust layer that tells you when confidence drops and why.
Score Breakdown
Market Signal
Go-to-Market
Teams already running theorem prover checks in GitHub Actions for compilers, cryptography libraries, or research-grade verification projects.
~10K-30K serious global users, with a few thousand team-level buyers
Hacker News launch
$99/month
10 teams install the GitHub App and 3 convert to paid within 30 days
MVP Scope · 1–2 weeks
- Build a CLI that ingests proof artifacts and records verifier version metadata
- Add Dockerized runners for two independent checker implementations where available
- Create a basic result schema for pass, fail, and disagreement states
- Implement GitHub Action output with commit status reporting
- Set up a minimal dashboard showing project trust history over time
- Add automatic reruns when a watched verifier version changes
- Implement a trust score based on single-check, multi-check, and stale-version status
- Generate human-readable failure summaries with likely cause categories
- Add email and webhook alerts for newly invalidated proofs
- Run pilots with 3 design-partner repositories and refine noisy alerts
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The number of teams using formal proofs in production may be too small to support a venture-scale SaaS.
- 2Deep compatibility work across theorem provers could consume engineering effort faster than revenue grows.
- 3Sophisticated users may build comparable CI scripts internally and resist paying for hosted assurance.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
The discussion repeatedly returned to one theme: proof validity depends on verifier trust, and confidence improves when artifacts are checked by separate implementations on current versions. Roughly a dozen comments focused on conditional trust, independent kernels, and the practical need to stay updated. That combination signals a concrete workflow problem rather than abstract philosophy, making CI-based trust monitoring the strongest commercial angle.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Proof Trust Monitor for CI
Sub-headline
Build a SaaS layer that continuously revalidates formal proof artifacts across verifier versions and independent checkers, then reports trust status in CI. The buyer is any team using theorem provers in research, compilers, cryptography, or safety-critical software that wants early warning when a soundness bug invalidates prior confidence.
Who It's For
For Research engineering teams, formal methods groups, cryptography teams, and advanced OSS maintainers who depend on machine-checked proofs and need ongoing assurance rather than one-time verification.
Feature List
✓ Automated rechecking of proof artifacts on every dependency or verifier version change ✓ Cross-kernel validation with trust score and failure diff reports ✓ CI/CD integration with blocking policies and audit history
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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