Upwork Proposal Generator for Web Developers

The trap with a Lovable-to-Supabase migration isn't the migration itself, it's that Lovable scaffolds with a single-tenant mindset by default. If tenant isolation isn't baked into the schema and enforced with Supabase RLS from day one, you end up retrofitting row-level policies onto tables that were never designed for it, and that's where SaaS builds either leak data across accounts or grind to a halt under the first real customer load.

I've built exactly this stack on real client work.

RealTalkReferee (app.realtalkreferee.ai): live SaaS on React, Supabase, and Stripe handling sensitive user data with paying customers, the same auth-plus-billing-plus-RLS backbone your project needs.

PerfectMatchSchools (perfectmatchschool.com): multi-tenant matching platform on React, TypeScript, and Supabase, shipped solo across sprints. First tenant-isolated version went live in under three weeks because the schema was designed for separation before a single feature got built, which is what kept it fast instead of a rewrite later.

How I'd approach yours:
1. Audit the current Lovable schema and flag every table that assumes one tenant, before touching Supabase.
2. Move to GitHub with proper branching, then wire Supabase with RLS-enforced tenant boundaries and role-based permissions.
3. Layer Stripe subscriptions so plan tier drives access, then automate onboarding to provision a clean tenant per signup.
4. Set up CI/CD so deploys are boring and repeatable.

One question: is your tenancy model going to be one org per customer, or will a single customer need multiple sub-accounts under one billing seat? That decision reshapes the entire schema.