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C Memory Safety Scanner for CI
Build a developer security tool that detects unsafe string, null, and sentinel patterns in C code before merge. The product should focus on actionable findings with low-noise fixes for legacy repositories where full language migration is unrealistic.
Why this matters
You maintain a mature C codebase where one small string mistake can become a production incident or a security advisory. Every merge carries anxiety because dangerous patterns are easy to miss in review, especially when they look normal to experienced engineers. Rewriting in a safer language is politically and technically unrealistic, so you keep relying on conventions, warnings, and careful reviewers. Those defenses break down when deadlines are tight or when code volume grows. What you want is a CI-native tool that flags the exact unsafe pattern, explains why it is risky in context, and proposes a fix your team can apply without pausing delivery.
- · Built for Security-conscious engineering teams maintaining C or kernel-adjacent codebases in infrastructure, embedded software, databases, networking, and performance-critical products..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
You maintain a mature C codebase where one small string mistake can become a production incident or a security advisory. Every merge carries anxiety because dangerous patterns are easy to miss in review, especially when they look normal to experienced engineers. Rewriting in a safer language is politically and technically unrealistic, so you keep relying on conventions, warnings, and careful reviewers. Those defenses break down when deadlines are tight or when code volume grows. What you want is a CI-native tool that flags the exact unsafe pattern, explains why it is risky in context, and proposes a fix your team can apply without pausing delivery.
Score Breakdown
Market Signal
Go-to-Market
Security leads and staff engineers responsible for mature C codebases with active pull-request workflows.
~50K high-value teams globally
SEO long-tail
$99/month
10 paying repositories and at least 100 weekly scans within 30 days
MVP Scope · 1–2 weeks
- Implement a parser pipeline using Clang or Tree-sitter for C files
- Ship 10 initial rules covering unsafe string copy, missing terminators, and null misuse
- Build a CLI that scans a repository and outputs severity-ranked JSON
- Create sample remediation guidance for each rule
- Set up a landing page with waitlist and demo screenshots
- Wrap the CLI as a GitHub Action for pull-request comments
- Add a simple web dashboard for scan history and issue counts
- Implement rule suppressions and baseline mode for legacy repos
- Pilot on 3 open-source C repositories to tune false positives
- Launch outreach to maintainers and security-focused newsletters
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1Existing static analysis products may already satisfy enterprise buyers, making it hard to stand out without significantly better signal quality.
- 2Repository-specific macro usage and custom build steps may reduce analysis accuracy and create onboarding friction.
- 3Smaller teams may view security scanning as a nice-to-have unless tied to a recent incident or compliance requirement.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
The discussion repeatedly returned to memory corruption, unsafe string termination, and the long tail of low-level security defects. Multiple commenters described these issues as persistent, expensive, and hard to eliminate through discipline alone. Several also contrasted modern type-safe approaches with the reality that many production systems still depend on C, which supports a focused safety tool that works inside current workflows.
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
C Memory Safety Scanner for CI
Sub-headline
Build a developer security tool that detects unsafe string, null, and sentinel patterns in C code before merge. The product should focus on actionable findings with low-noise fixes for legacy repositories where full language migration is unrealistic.
Who It's For
For Security-conscious engineering teams maintaining C or kernel-adjacent codebases in infrastructure, embedded software, databases, networking, and performance-critical products.
Feature List
✓ Pull-request scanning for unsafe string and null handling ✓ Risk-ranked findings with concrete code fix suggestions ✓ Repository trend dashboard showing debt and remediation progress
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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