- How long does a launch audit take?
- 3–5 days from when you share access to the code. Most of that time is reading the code and testing the parts that handle logins, data and money.
- How much does it cost to fix a Lovable app?
- Start with a launch audit: $2,500 over 3–5 days, so you know exactly what's wrong before paying for fixes. Most fixes fit in a 2-week fix sprint from $8,000, and the launch audit fee comes off it. Bigger rebuilds are quoted after the launch audit, before any work starts.
- Which tools do you check apps from?
- Apps built with Lovable, Bolt, Cursor, Windsurf, Replit, Base44, v0 and similar tools, or with code from ChatGPT or Claude, often on Supabase or Firebase. What matters is the code and the services it runs on, not which tool wrote it.
- Can you help my app scale?
- Yes. The launch audit shows where the app will slow down or get expensive as users arrive. Scaling work after that is quoted on your app and how far you want to grow.
- How do I keep my app's running costs down as it grows?
- Most of the bill comes from a few places: AI calls, database reads and file storage. The usual savings are caching answers instead of asking the AI again, using a smaller model where it's good enough, limits per user, and loading only the data a page needs. The launch audit shows where your costs will grow and what to change first.
- Do you need access to my code?
- Yes, read-only access to the code and, if you have one, a test version of the app. We don't need access to your live customer data.
- Will you tell me to rebuild everything?
- Only if the foundations won't hold. Most apps need a short list of fixes, and the report says which parts to keep as they are.
- Isn't a $100 fix enough?
- A quick fix solves the bug you can see. The launch audit looks at the whole app, including the problems that don't show until real users arrive, and gives you a written verdict. If all you need is one small fix, we'll say so on the discovery call.
- The AI says it fixed the problem. How do I know it did?
- Test it the way a real user would, not by asking the AI again. That's what the launch audit does: we sign in as different kinds of users and try what they could try, so the report reflects what the app actually does.
- What if nothing serious turns up?
- Then the report says so, and you launch knowing the risky parts have been checked.