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Developer ToolsDeveloper ToolsSecurityPostgresAuthorizationSupabase

Row-Level Security Policy Generator for Developers Who Skip Authorization Until It's Too Late

Most developers add authentication but forget authorization, any logged-in user can access any data. An AI-powered row-level security policy generator that analyzes your database schema and automatically generates Postgres RLS policies based on common patterns (user-owns-data, team-scoped, role-based) would add proper authorization in minutes instead of days.

70
Overall

Problem Statement

A developer builds a multi-tenant SaaS with Supabase. Authentication works: users log in. But any user can query any row in any table because there are no RLS policies. They know they need row-level security but writing policies requires understanding Postgres security model, which takes 2-3 days. They ship without it, planning to 'add it later' — and a security incident happens first.

The Idea

An AI RLS policy generator that analyzes database schemas and auto-generates Postgres row-level security policies for common authorization patterns, user-owns-data, team-scoped, admin-override, so developers ship secure apps without becoming security experts.

Why Now

Supabase popularized RLS but writing policies is still error-prone. 60% of Supabase projects have no RLS policies. AI can now analyze table relationships and infer the correct authorization model. The gap between 'auth is easy' and 'authz is hard' is the biggest security risk in modern app development.

Target User

Full-stack developers building multi-tenant applications with Supabase or Postgres

Target Market

Developers using Supabase, Prisma, or direct Postgres for multi-tenant applications

The full brief is free to read

Create a free account to unlock the complete build-ready brief for “Row-Level Security Policy Generator for Developers Who Skip Authorization Until It's Too Late”, including:

  • MVP scope & feature boundaries
  • Step-by-step validation plan
  • Score rationale across 11 dimensions
  • Monetization model & pricing angle
  • Competitors with links
  • Acquisition channels & go-to-market
  • Risks & counter-evidence

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