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Privacy-first AI code gateway
Build a secure routing layer for coding AI that lets teams choose models without exposing sensitive source code to unintended training or retention. The product would provide provider-level policy enforcement, redaction, audit logs, and selective routing between low-cost and privacy-safe models.
Pourquoi c'est important
You want to use AI coding tools across real repositories, but every request feels like a policy gamble. One pricing tier is cheap because your data may help train future models, another has unclear retention terms, and login-gated tools make you wonder what is being logged behind the scenes. If you work on customer code, internal systems, or regulated data, you cannot casually paste code into whichever model is cheapest that week. What you need is a simple way to keep shipping with AI while enforcing rules about what leaves your environment, which providers are allowed, and what proof exists afterward.
- · Conçu pour Software teams, security-conscious startups, and SMB engineering orgs that want AI coding assistance but need clear control over data retention and provider usage..
- · Monétisation la plus probable : SaaS subscription.
La douleur · Récit
You want to use AI coding tools across real repositories, but every request feels like a policy gamble. One pricing tier is cheap because your data may help train future models, another has unclear retention terms, and login-gated tools make you wonder what is being logged behind the scenes. If you work on customer code, internal systems, or regulated data, you cannot casually paste code into whichever model is cheapest that week. What you need is a simple way to keep shipping with AI while enforcing rules about what leaves your environment, which providers are allowed, and what proof exists afterward.
Détail du score
Signal du marché
Mise sur le marché
Engineering managers at startups with 10-100 developers who already reimburse AI coding tools but lack a formal data policy.
~50K teams globally
Twitter dev community
$99/month
10 paying teams and at least 3 using policy-based routing on active repositories within 30 days
Périmètre MVP · 1–2 semaines
- Build a simple proxy API that forwards prompts to two model providers with request logging
- Add repository-level policy settings for allowed providers and retention preference
- Implement basic secret and PII redaction on prompt payloads
- Create a minimal web dashboard showing request history and provider used
- Ship a CLI wrapper that routes coding prompts through the proxy
- Add rule-based routing by folder, file type, or sensitivity tag
- Integrate one IDE extension surface such as VS Code command palette actions
- Create vendor policy comparison pages inside the dashboard
- Add team accounts, API keys, and Stripe billing
- Run pilots with 5 design partners and collect blocked-request and routed-request metrics
Différenciation
Pourquoi cela pourrait échouer
Auto-contre-argument — le signal de confiance le plus important
- 1Teams may decide that direct use of one enterprise-grade provider is simpler than adopting a gateway.
- 2The product could become a compliance checkbox rather than a daily workflow tool, reducing perceived value.
- 3If vendors offer native zero-retention guarantees and audits broadly, the routing layer may feel unnecessary.
Résumé des preuves
Comment l'IA a synthétisé cet aperçu — pas de citations textuelles
The discussion repeatedly returns to anxiety about prompt inspection, code upload, and low-cost tiers that rely on customer data reuse. Multiple commenters contrasted cheaper plans that permit training with alternatives that avoid retention, showing that privacy is not abstract but a purchasing criterion. Several participants also distrusted login-gated closed systems, which strengthens the case for a neutral control layer.
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
Privacy-first AI code gateway
Sous-titre
Build a secure routing layer for coding AI that lets teams choose models without exposing sensitive source code to unintended training or retention. The product would provide provider-level policy enforcement, redaction, audit logs, and selective routing between low-cost and privacy-safe models.
Pour Qui
Pour Software teams, security-conscious startups, and SMB engineering orgs that want AI coding assistance but need clear control over data retention and provider usage.
Liste des Fonctionnalités
✓ Prompt and code redaction before provider calls ✓ Policy-based model routing by repository or file sensitivity ✓ Audit logs showing where data was sent and under what retention setting ✓ Vendor policy registry comparing training, retention, and region behavior ✓ CLI and IDE plugin for drop-in usage
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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