RLS-Aware AI Analytics Proxy for Multi-Tenant SaaS

A middleware API that allows SaaS founders to offer AI analytics to their end-users safely. It intercepts AI-generated SQL queries and strictly enforces Supabase/Postgres Row Level Security (RLS) policies before execution, ensuring users only see their own data.

在 Reddit 檢視

發現於 2026年4月30日

得分構成

痛點強度9/10

付費意願9/10

實現難度（易建構）3/10

永續性9/10

差異化

現有方案

Dreambase

我們的切入角度

There is a critical gap for AI data agents that natively respect multi-tenant security policies (like Supabase RLS) and can intelligently map messy, non-standard legacy databases without assuming clean SaaS conventions.

社群原聲

直接影響該商機判斷的真實 Reddit 評論引用

“Does the auto-scan onboarding handle Supabase RLS policies, or does it only look at the schema?”

行動計畫

在寫程式之前，先驗證這個商機

建議下一步

直接做

需求訊號強烈。痛點真實、付費意願明確——啟動 MVP 開發。

落地頁文案包

基於真實 Reddit 評論整理的即用文案，可直接貼到落地頁

主標題

RLS-Aware AI Analytics Proxy for Multi-Tenant SaaS

副標題

目標使用者

適合：B2B SaaS founders and developers using Supabase or Postgres who want to embed AI analytics into their products securely.

功能列表

✓ Postgres proxy that injects user JWTs/session variables into AI queries ✓ Query validation to prevent destructive operations (Drop, Delete) ✓ Audit logs of all AI-generated queries and their execution status

使用者原聲

“Does the auto-scan onboarding handle Supabase RLS policies, or does it only look at the schema?”— Reddit 使用者，r/Product Hunt · analytics

去哪裡驗證

把落地頁連結發布到 r/Product Hunt · analytics——這裡就是這些痛點被發現的地方。