LaunchGuard is a launch-readiness scanner for AI-built SaaS apps.

The idea is: paste a GitHub repo URL, scan the project, and get a plain-English report of risks before launch.

GitHub repo Live app

Small README#

LaunchGuard checks a project for obvious launch risks and turns those checks into a report a builder can act on.

The scanner looks for things like:

  • secret leaks,
  • weak auth patterns,
  • Supabase setup risks,
  • Stripe webhook issues,
  • AI cost-control problems,
  • missing launch safety checks.

The app can scan public GitHub repositories in the hosted version. Local project-path scanning stays local-only, which is important because a hosted app should not read arbitrary server filesystem paths.

How To Use#

For the hosted version:

  1. Open the live app.
  2. Paste a public GitHub repository URL.
  3. Run the scan.
  4. Read the findings grouped by severity.
  5. Use the copyable prompts or downloadable report to fix the issues.

For local development:

cd web
npm run dev

The repo also has a scanner eval:

cd web
npm run eval:scanner

That eval checks a known-bad fixture app so future scanner changes do not accidentally remove important findings.

What I Learned#

LaunchGuard taught me that useful developer tools do not need to be magical.

They need a tight problem, a clear input, and an output that helps the user take the next action.

The project also taught me an important safety lesson: local scanning and hosted scanning are different products. A localhost scanner can inspect local folders. A hosted scanner should use bounded public repo fetching or a safer sandboxed flow.

Why It Matters#

AI makes it easier to build SaaS apps quickly, but quick apps often miss launch basics.

LaunchGuard is my attempt to turn that messy pre-launch checklist into something a builder can run before shipping.

What happened next#

September 2026 — the hosted site now offers the automated public-repository scan for free and presents a $9 Launch Fix Pack as a small product experiment. The pack is meant to turn scanner signals and blind spots into a fix order, tailored prompts, and verification steps.

The paid offer does not make the scanner a complete security audit, and putting a price on the page is not proof of sales or customer outcomes. The useful test is whether the report helps a builder find and verify at least one real launch risk.