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Antigravity × Multi-Tenant SaaS Complete Implementation Guide: Supabase RLS × Stripe Metered Billing × RBAC

A production-grade guide to building multi-tenant SaaS with Antigravity IDE. Learn tenant isolation with Supabase Row Level Security, usage-based billing with Stripe Metered Billing, and fine-grained access control with RBAC — with full implementation code.

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Premium Article

Setup and context: Why Multi-Tenant Architecture Is Hard to Get Right

When launching a SaaS product as an indie developer, multi-tenant architecture is often the first real technical wall you hit. A "tenant" is the unit of organization or company that uses your SaaS — each tenant needs an isolated data space while sharing the same underlying infrastructure.

Get tenant isolation wrong and you risk serious security incidents: data from one tenant leaking into another. Build fully isolated infrastructure per tenant and costs balloon out of control.

This guide covers how to build production-grade multi-tenant SaaS using Antigravity IDE, built on three pillars:

  • Supabase RLS — tenant isolation at the database layer
  • Stripe Metered Billing — usage-based pricing tied to API consumption
  • RBAC — role-based access control within organizations

This article targets developers who already understand Next.js and Supabase fundamentals and are ready to ship a real SaaS product.


Three Patterns for Multi-Tenant Architecture

Before writing a single line of code, it's worth understanding the three main patterns for multi-tenancy.

Pattern 1: Shared Database, Shared Schema (used in this guide)

All tenants share the same tables, differentiated by a tenant_id column. This is the most cost-effective approach and works beautifully with Supabase's Row Level Security. The vast majority of SaaS products don't need anything more than this.

Pattern 2: Shared Database, Separate Schemas

Each tenant gets its own PostgreSQL schema. Provides stronger data isolation but makes migrations significantly more complex.

Pattern 3: Separate Databases

Each tenant has a fully independent database. Offers the highest security guarantees but comes with substantial cost and operational overhead.

In this guide, we use Pattern 1 and achieve complete tenant isolation through RLS policies.


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What follows includes implementation code, benchmarks, and practical content we hope you'll find useful. This site runs without ads — server and development costs are supported entirely by members like you. If it's been helpful, we'd be truly grateful for your support.

WHAT YOU'LL LEARN
A production-ready design pattern that unifies tenant isolation, usage-based billing, and RBAC in a single schema
The RLS `auth.uid()` re-evaluation trap, and how wrapping it in a subquery cut a query from 470ms to 8ms
An idempotency-key design that stops Stripe metered double-counting, and why monthly resets should key off the billing period, not the invoice
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