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Lovable app rescue
Lovable gets you from idea to a clickable product in days. What it hands you is a React and Vite frontend talking straight to a Supabase database, and that direct connection is where most of the risk sits. If the database rules are wrong, the app's own screens look fine while anyone with your public key can read the tables behind them.
Short answer: Start with the fixed-price Production Audit. I read your GitHub-synced Lovable repo and your Supabase setup, check every table's row-level security against who should really see what, and send a written report in 3 working days with a fixed quote for each fix. The $1,200 fee is credited if you go ahead, and refunded in full if the audit finds no real issues. See a sample report.
Async and in writing, no calls. 5.0 from 107 Fiverr reviews.
React, Vite, TypeScript, Tailwind and shadcn/ui on the frontend, Supabase (directly or through Lovable Cloud) for database, auth, storage and edge functions, synced to a GitHub repo you own.
None of this means the tool is bad. It builds what you ask for, and nobody asks for these.
The frontend queries Supabase directly with the public anon key, so the only thing stopping one user reading another's rows is the RLS policy. Tables created mid-conversation often have RLS off, or a policy like "authenticated users can read all" that looks safe and isn't. This is the class of bug behind CVE-2025-48757.
Prices, plan limits and admin checks get written into React components. Anyone can change them in the browser's dev tools. Anything that decides money or access needs to move into an edge function or a database function.
Third-party API keys pasted into prompts end up in frontend code or committed to the repo. Once a key has been in a public bundle, rotating it is the only fix.
Large regenerations change files you didn't ask about. Without tests, the first sign of a regression is a customer email.
Changes go straight to the live database. Schema changes made through chat are hard to roll back, and few founders have ever tried restoring a backup.
Each item ends up in the written report with a risk level and a fixed price to fix.
If the report does not find at least one issue ranked medium risk or higher, I refund the whole fee and you keep the report. Medium risk means something that could leak data, lose you money or break a feature for users if left alone. Style preferences and small tidy-ups do not count.
See a sample audit reportYou don't have to leave Lovable to be safe. Most fixes live in Supabase policies and functions, and the repo stays in sync so you can keep prompting. If you outgrow it, the GitHub repo is a standard Vite app that deploys to Vercel, Netlify or your own server, and the Supabase project can move to an account you control. The audit report spells out what moving would involve before you decide.
All in writing, so every finding, decision and price is on record.
Send a short brief on what the app does and who uses it. I reply by email with an invoice for the fixed fee, and the 3 days start once it is paid and I have read-only repo access.
No calls. You write, I read.
Every issue I find, ranked by how much damage it could do, with a plain-English explanation and a fixed price to fix it.
Yours to keep, even if you hire someone else.
Pick the fixes you want. The audit fee comes off the rescue quote, so the audit is free if we keep working together.
Nothing starts until you approve it in writing.
Critical issues first, then the rest. Every change goes through review and a staging link before it touches production.
You own all code and accounts throughout.
It's a good first pass and worth running. It can flag a table with RLS switched off. It can't know that your sales team shouldn't see each other's leads, or that a coupon should only work once. Those rules come from your business, so someone has to read the policies against how the product is meant to work.
Yes. I work in the same GitHub repo Lovable syncs with, keep the structure Lovable expects, and leave notes on which files and policies to be careful with. Fixes in Supabase policies and functions are untouched by later prompts unless you ask Lovable to change them.
Yes. Lovable Cloud runs on Supabase, so the same checks apply. I'll ask for read access to the repo and the database settings, and the report notes anything that is easier to fix after connecting your own Supabase account.
A quick self-check: open the Supabase dashboard, go to each table and confirm RLS is on and the policies mention the logged-in user's id. If any table holding customer data has no policy or a policy that is simply "true", treat it as exposed and fix that first.
A written report in 3 working days, a fixed quote for every fix, and a straight answer on whether to rescue or rebuild.
Full refund if the audit finds nothing ranked medium risk or higher · See a sample report