Keep building in Lovable Run it on AWS you own.
Your AI tool built the app. ScaleBop takes the next step: it checks your code for common mistakes, then puts the app into your own AWS account, on your own domain. You keep building exactly as you do now, and the whole setup is saved in your repo for you to keep.
Your first check is free. The check only reads your code. ScaleBop changes nothing unless you choose to deploy, and then only through a pull request you approve.
Keep your tool
Lovable, Bolt and v0 keep working through GitHub sync
It's yours
Your AWS account, your repo, your domain
First launch
Free, through to a healthy app on your own domain
Watch an AI-built app go live on AWS you own.
Follow a Lovable app from its GitHub repo, through the AWS plan and rough monthly cost, to a healthy app running in its owner's AWS account. Shown sped up.
Your app, your AWS account, your code.
ScaleBop sets your app up in an AWS account you own. The setup is saved as code in your own repository, and deploys run from your own GitHub. Nothing about your app lives on a platform you'd have to untangle later.
Your AWS account
Your app runs in an AWS account you own. AWS bills you directly, and ScaleBop adds no markup.
Your repository
The setup is saved as readable code in your own GitHub repository, so any developer you hire will recognise it.
No lock-in
Stop using ScaleBop and your app keeps running. The setup stays in your repo for you to keep.
Your AI tool built it. Here's the next step.
Lovable, Bolt and v0 are brilliant at building apps. Running one on your own AWS is a different job: permissions, hosting, certificates, DNS and a deploy pipeline, usually learned the slow way. Once real customers, investors or partners depend on your app, those questions can't wait. ScaleBop answers them without changing how you build.
When it gets real
Where does my app run, and do I actually own it?
When it gets real
Is my code making any of the common mistakes AI-built apps make?
When it gets real
Can it run on my own domain, with HTTPS?
When it gets real
Will a developer I hire later understand the setup?
When it gets real
Can I keep building in my AI tool afterwards?
Everything your app needs to run on AWS, built from the code you already have.
You approve the AWS setup and every change to your repository.
A check of your code
ScaleBop scans your code for common risks, such as secret keys left in the code, and explains what it finds in plain language.
An AWS plan
Your app is matched to a suitable AWS setup, with a rough monthly cost range before you deploy anything.
Your setup, saved as code
The AWS setup is written as code (AWS CDK) in your repository, so it's versioned, readable and yours.
Deploys from your GitHub
GitHub Actions in your own repository builds and deploys the app, using a one-time approval in your AWS account instead of long-lived keys.
See what your AI tool missed, before your customers do.
AI tools write working code fast, but they repeat the same few security mistakes. ScaleBop reads your code, explains each finding in plain language, and gives you a prompt to paste into your AI tool to fix it.
If a new change leaks a key, ScaleBop holds it back from production until you decide.
What it looks for
- Supabase tables without Row Level Security, so anyone can read every user's data
- The Supabase service role key in browser code
- API keys for OpenAI, Stripe and others in VITE_ or NEXT_PUBLIC_ variables, which ship to every visitor
- Stripe webhooks that don't verify Stripe's signature
- Public storage buckets and .env files committed to the repo
From your repo to a live app on your own AWS.
Connect your repo
Connect GitHub and pick the repository your AI tool syncs to.
Check your code
ScaleBop works out how your app is built, checks whether it can deploy it, and scans for common risks.
Review the plan
See the AWS setup ScaleBop recommends and a rough monthly cost, then approve a one-time setup in your AWS account.
Go live
ScaleBop adds the setup to your repo, deploys the app and confirms it's healthy. Then add your own domain.
Example setup
Lovable app (React + Vite)
Fast static hosting on AWS with S3 and CloudFront. If the app uses Supabase, Supabase stays exactly where it is.
Rough AWS cost: About $1–25 a month at low traffic.
Check your Lovable app →
Example setup
v0 app (Next.js)
Static hosting with S3 and CloudFront when the app can be exported, or a container on ECS Fargate when it needs a server.
Rough AWS cost: About $1–25 a month as a static site, or from about $30 a month with a server.
Check your v0 app →
Example setup
Bolt app (Node.js)
Your app runs in a container on ECS Fargate behind a load balancer. An existing hosted database stays where it is.
Rough AWS cost: From about $30 a month, mostly the always-on container and load balancer.
Check your Bolt app →
Your AI app deserves a real home.
Check your app for free. If it's ready, put it on your own AWS with your own domain. Your first launch is free too.
Public repo? Check it now without signing up.