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 查看

发现于 2026年4月30日

得分构成

痛点强度9/10

付费意愿9/10

实现难度（易构建）3/10

可持续性9/10

差异化

现有方案

Dreambase

我们的切入角度

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.

社区原声

直接影响该商机判断的真实 Reddit 评论引用

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

行动计划

在写代码之前，先验证这个商机

推荐下一步

直接做

需求信号强烈。痛点真实、付费意愿明确——启动 MVP 开发。

落地页文案包

基于真实 Reddit 评论整理的即用文案，可直接粘贴到落地页

主标题

RLS-Aware AI Analytics Proxy for Multi-Tenant SaaS

副标题

目标用户

适合：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

用户原声

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

去哪里验证

把落地页链接发布到 r/Product Hunt · analytics——这里就是这些痛点被发现的地方。