Terry Threatt · software engineer & tech lead

Your AI built the app. I make sure it won't leak data — or lose money.

Fixed-price launch audits for apps built with Lovable, Bolt, Replit, Cursor, or Claude Code. I've shipped and sold products on the exact stack your AI used. I verify the two things it can't check about itself: is it secure, and will it actually get paid.

  • Fixed price
  • No sales call
  • Report in days
  • Written for founders, not engineers
Featured
Career Karma
1000 Hires

Your app works. That's not the same as ready.

Lovable, Bolt, Replit, and Cursor are incredible at making things work. They are consistently bad at the same handful of things — and those things only surface when real users (or attackers, or failed credit cards) show up:

Database rules that don't isolate users.

One missing row-level security policy and Customer A can read Customer B's data. This is the #1 finding in AI-built apps.

API keys sitting in your frontend code.

Your Stripe, OpenAI, or Supabase admin keys, visible to anyone who opens dev tools. Attackers find these in seconds.

Billing that silently fails.

No webhook verification means anyone can fake a “payment succeeded.” Unhandled cancellations mean churned users keep full access forever. You don't get hacked — you just quietly don't get paid.

Zero visibility.

No error tracking, no monitoring. When something breaks at 2am, your users know before you do.

You can't ask the AI to grade its own homework. You need a human who's shipped on this stack before.

Terry Threatt

Hi, I'm Terry.

I'm a software engineer and tech lead who has spent years shipping real products — App Store, Google Play, Chrome Web Store — on Supabase, Stripe, RevenueCat, and Next.js. I've handled production payments, webhook failures, subscription churn, and security reviews on my own apps, with my own revenue on the line. Two of those products were acquired.

I'm not an anonymous audit team, and I'm not a $20K security firm. I'm the senior engineer you'd want looking over your shoulder before you press launch — at a price you can see right now, with a report you can actually read.

See what I've shipped

What a finding actually looks like

sample finding — what a report entry looks likecritical

Any user can read every customer's data

Your invoices table has row-level security disabled. A logged-in user can query other customers' invoices directly through the API — no hacking required, just curiosity.

Business impact

Total customer-data exposure; a breach-disclosure event before you've even launched.

Fix prompt — paste into your AI tool

Enable RLS on the invoices table and add policies restricting SELECT/INSERT/UPDATE/DELETE to rows where user_id = auth.uid(). Then write a test that confirms user A cannot read user B's invoices.

Verify

Log in as a second account and attempt the same query.

Follow the build

Teardowns of AI-built apps, the security and billing bugs I find, and what it's like building this service in public. Nothing sent that isn't worth reading.

The newsletter is warming up — say hi and I'll add you to the first send.