.env.example missingMissing environment example
Your app needs hidden settings to run in production, but there is no safe template for them.
Pre-launch validation for AI-built apps
MakerToLaunch scans your GitHub repo, finds launch blockers, and gives you copy-ready prompts to fix issues before real users see them.
Read-only scan · No code changes · No credit card
Launch Readiness Score
my-ai-saas-app
3 launch blockers · 1 looking good
58
Needs work
Launch blockers
DEBUG=True in production settings
CriticalMissing .env.example
WarningAPI URL still points to localhost
WarningCopy-ready fix prompt
Review DEBUG settings and create a safe .env.example with placeholders only.
Paste into Cursor or your AI coding tool
Example from a MakerToLaunch pre-launch check
What might break
AI tools help you build fast, but they do not always prepare your app for real users. MakerToLaunch checks common launch blockers in your GitHub repo and explains them in plain language.
.env.example missingYour app needs hidden settings to run in production, but there is no safe template for them.
localhost API URLFrontend or backend URLs that work on your machine will break when real users visit.
DEBUG=TrueDebug settings that help while building can expose details you do not want in production.
No deploy configMissing build commands, output folders, or hosting config make going live guesswork.
Frontend ≠ backendSeparate app parts need their own env vars, hosts, and connection settings to work together.
Secrets in codeAPI keys and passwords that live in source files are a common pre-launch risk.
MakerToLaunch turns each blocker into a clear next step — and, when helpful, a prompt you can paste into your AI coding tool.
Pre-launch validation
We review the common areas that trip up first-time launches — then explain findings in plain language so you know what to fix next.
Spot risky patterns around secrets, API keys, debug mode, and files that should not be committed.
Check for missing .env.example files, placeholder guidance, and production settings that are easy to overlook.
Review build commands, output folders, hosting configs, and other gaps that block going live.
Catch localhost API URLs, missing production env vars, and connection setup problems between app parts.
Flag common database setup gaps that show up when an app moves from local to hosted.
Turn each issue into a prompt you can paste into Cursor or your AI coding tool.
Learn more: what we check · example report · AI app pre-launch checklist
How it works
A guided path designed for first-time launchers — not a wall of DevOps jargon.
Step 1
Link the repository that holds your AI-built app. We only read what we need to scan.
Step 2
Get a Launch Readiness Score and a clear list of common launch blockers.
Step 3
Copy a ready-made prompt into your AI coding tool and decide what to change.
Step 4
Confirm progress, close remaining gaps, and launch with more confidence.
Product highlight
Your Launch Readiness Score shows how close your app is to going live. Green means you're good, yellow means pay attention, and red means fix this before launching.
Launch Readiness Score
my-ai-saas-app
58
Needs work
Built for how AI makers work
MakerToLaunch turns each launch blocker into a clear, safe prompt for your AI coding tool — with project context, constraints, and verification steps.
We scan your app and explain what's stopping it from going live.
Get a specific prompt based on your project structure, stack, and scan results.
Use the prompt in Cursor or any AI coding tool you already work with.
Come back and check if your app is safer and closer to launch.
Example from a paid report
Prompt for your AI coding tool
Review this existing project and create a safe .env.example file with placeholder values only. Requirements: - Do not include real secrets, passwords, API keys, or tokens. - If this project has frontend and backend folders, create separate example env files where needed. - Add comments explaining what each variable is for. - Update the README with setup instructions. - Summarize the files changed.
Paste this into Cursor, Claude, ChatGPT, Bolt, Lovable, or any AI builder.
Launch Pack includes contextual prompts like this for env vars, deployment, security, and more — generated from your scan.
Pricing
Start with a free pre-launch check. Unlock the full fix workflow when you are ready.
Find out what's blocking launch.
Normally $19
one-time / per project
Unlock the full fix workflow for one app.
Works with Cursor, Claude, ChatGPT, Bolt, Lovable, Replit, and similar tools.
For makers launching multiple apps.
Launch Pack unlocks after your free scan and is tied to one project. Launch price: $10, normally $19. No subscription required.
Launch Pack gives you guidance and prompts. You choose what to change.
FAQ
Built for AI makers who want guidance — not a wall of DevOps jargon.
Ready when you are
Run a free pre-launch check first. When you're ready to fix what's blocking launch, unlock the full report, AI assistant, and copy-ready prompts for your project.
Read-only scan · No code changes · No credit card