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85score
HN · front_page
SaaS subscription
Build

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.

En hausse +200%5 canauxTendance des mentions sur 30 jours: latest 1, peak 14, 30-day series
Voir sur Reddit
Découvert 21 juin 2026

Pourquoi c'est important

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.

  • · Conçu pour Security-conscious engineering teams maintaining C or kernel-adjacent codebases in infrastructure, embedded software, databases, networking, and performance-critical products..
  • · Monétisation la plus probable : SaaS subscription.

La douleur · Récit

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.

Détail du score

Intensité du problème9/10
Volonté de payer8/10
Facilité de réalisation5/10
Durabilité8/10

Signal du marché

Tendance des mentions sur 30 joursPic : 14
Sparkline: latest 1, peak 14, 30-day series
Canaux couverts
front_pagewebdevselfhostedNousResearch/hermes-agentCopilotKit/CopilotKit

Mise sur le marché

Utilisateur cible exact

Security leads and staff engineers responsible for mature C codebases with active pull-request workflows.

Nombre d'utilisateurs estimé

~50K high-value teams globally

Canal d'acquisition principal

SEO long-tail

Ancre de prix

$99/month

Premier jalon

10 paying repositories and at least 100 weekly scans within 30 days

Périmètre MVP · 1–2 semaines

Semaine 1
  • 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
Semaine 2
  • 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
Fonctions MVP: 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

Différenciation

Solutions existantes
RustZigC++ optional-based approaches
Notre angle
There is a clear opening for tooling that improves safety and modernization inside existing C workflows instead of requiring full language migration.

Pourquoi cela pourrait échouer

Auto-contre-argument — le signal de confiance le plus important

  1. 1Existing static analysis products may already satisfy enterprise buyers, making it hard to stand out without significantly better signal quality.
  2. 2Repository-specific macro usage and custom build steps may reduce analysis accuracy and create onboarding friction.
  3. 3Smaller teams may view security scanning as a nice-to-have unless tied to a recent incident or compliance requirement.

Résumé des preuves

Comment l'IA a synthétisé cet aperçu — pas de citations textuelles

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.

1 1 publication analysée5 5 canauxAI · Synthétisé par IA · pas de citations

Plan d'Action

Validez cette opportunité avant d'écrire du code

Prochaine Étape Recommandée

Construire

Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.

Kit de Textes pour Landing Page

Textes prêts à coller, basés sur le langage réel de la communauté Reddit

Titre Principal

C Memory Safety Scanner for CI

Sous-titre

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.

Pour Qui

Pour Security-conscious engineering teams maintaining C or kernel-adjacent codebases in infrastructure, embedded software, databases, networking, and performance-critical products.

Liste des Fonctionnalités

✓ 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

Où Valider

Partagez votre landing page sur r/HN · front_page — c'est exactement là que ces points de douleur ont été découverts.

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Report & PRDBUSINESS

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Questions fréquentes

Qui rencontre ce problème ?
Security-conscious engineering teams maintaining C or kernel-adjacent codebases in infrastructure, embedded software, databases, networking, and performance-critical products.
Est-ce une réelle opportunité ?
Cette opportunité obtient un score de 85/100 selon la métrique composite de Pain Spotter (intensité du problème, propension à payer, faisabilité technique et viabilité). Validez-la davantage avant d'y consacrer du temps de développement.
Comment dois-je la valider ?
Menez 5 entretiens de découverte client avec le public cible, publiez une landing page avec une liste d'attente, et vérifiez l'activité récente sur le post source lié avant de commencer le développement.