AI auditor for leaky Supabase backends
Build an AI-powered security auditor for Supabase and other no-code/BaaS backends that scans a project for missing RLS policies, public storage buckets, and leaked service keys, then auto-generates fixes or PRs. Target vibe-coders and solo founders who ship fast without a security background and don't know their database is exposed until it's too late.
What to build
A one-click security scanner for Supabase projects, built for solo founders and vibe-coders: it connects via the Supabase management API, flags tables with RLS disabled or misconfigured, public storage buckets, and leaked service-role keys, then auto-generates a fix (SQL migration or PR) the builder can apply instantly.
Thousands of fast-shipped Supabase apps are leaking data because their builders never knew RLS existed; a scanner that finds and auto-fixes the exposure turns a silent liability into a five-minute fix.
Demand
Solo founders and AI-assisted builders who ship Supabase backends without security review want this now because they're discovering exposure only after public call-outs or breaches, not before launch.
- r/nocodeCommentary
Reddit thread 'Systemic Data Exposure in Supabase Apps' - commenters with security backgrounds say this is unsurprising, pointing to a recurring, known pattern rather than a one-off incident
- Independent security researchersNews
Multiple writeups documenting live Supabase projects with RLS disabled or misconfigured, exposing user tables and PII to unauthenticated requests
- Developer community forums (Reddit/Hacker News/Twitter-X)Commentary
Indie developers and solo founders posting about discovering exposed Supabase databases or storage buckets post-launch, often via third-party scanning or responsible disclosure
Stack
- Supabase Management API
- Supabase CLI
- Node.js/TypeScript
- GitHub API (for auto-PR fixes)
- Postgres RLS policy templates
- Vercel/Cloudflare Workers for hosting the scan service
Solo + AI difficulty
Easy to MVP: reading RLS status and bucket ACLs via Supabase's API is straightforward, and a CLI script can ship in days. Harder part is generating safe, non-breaking RLS policy fixes across varied schemas; start with detection-only and manual-fix suggestions, add auto-PR generation later.
- Entry threshold
- Low capital barrier, buildable solo in days to a few weeks using Supabase's management API plus an LLM to interpret schema and policy gaps, but it requires real domain knowledge of RLS semantics and enough trust-building to get users to grant read access to their backend.
- Window
- 12-24 months
Where to find first users
- r/nocode
- r/Supabase
- Indie Hackers
- Product Hunt launch
- Supabase Discord
Competitors
- Supabase's own dashboard security linter
Counter-signals & risks
Supabase itself provides built-in RLS tooling, dashboard warnings, and documentation nudging developers toward secure defaults, which may reduce the addressable severity of the problem over time
Generic cloud security posture management vendors could expand into BaaS-specific checks, commoditizing this niche quickly
Target customers (solo founders, vibe-coders) are typically price-sensitive and may not prioritize paying for security tooling until after a breach occurs, limiting willingness-to-pay and go-to-market efficiency
Original title: Systemic Data Exposure in Supabase Apps
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