Submit your website, app preview, public GitHub repo, or project files and get an AI-assisted launch-readiness snapshot. Pair the scan with the product launch checklist below to review the pre-launch basics most AI-built products skip before a SaaS product launch.
Built for founders using Lovable, Cursor, Replit, Bolt.new, Bubble, Claude, v0, and other AI-assisted tools.
Run an AI-assisted launch scan before you send traffic, customers, or investors to your product.
The scan highlights visible strengths, possible launch concerns, friction points, and next steps.
AI tools made it easier to create screens, flows, dashboards, and working demos. But a working demo is not always ready for real users.
Launch pressure starts when people try to understand the offer, click through the product, sign up, onboard, pay, share, and return.
The Launchieve scan gives founders an early AI-assisted view before those gaps become expensive.
This launch readiness checklist is a practical pre launch checklist for founders who built with AI tools and need a second look before traffic arrives. Use it as a self-audit, then run the free scan for an AI-assisted snapshot of visible GTM and technical signals.
Learning how to launch a SaaS product is less about posting a Ship date and more about sequencing proof: clear offer, stable core loop, trustworthy checkout, and channels that match your buyer. The checklist above covers the basics. The scan highlights visible gaps. Human audits are for founders who need prioritized decisions under real launch pressure.
Choose the type of risk you want to check first.
Best for founders asking whether users will understand, trust, and act.
Best for founders asking whether the product can handle real users.
Your scan is designed to give you a useful first read on what the submitted source appears to show. The scan is AI-assisted and based on accessible information.
Launch Readiness Signal: Your product appears functional, but visible signals suggest users may experience friction before they fully understand, trust, or complete the main action.
Suggested direction: A deeper GTM or Technical Audit may help confirm what matters most.
Use a website URL, app preview, public GitHub repo, or project file upload.
Pick GTM Scan or Technical Scan depending on what you want to check first.
Add your details so your snapshot can be saved and shown when ready.
See AI-assisted signals based on what the scanner can access.
If possible risk areas appear, Launchieve can help review them properly.
The product looks polished. Ads start running. Users arrive. Then messaging, onboarding, mobile, CTA, and trust problems begin to show.
They notice onboarding friction, weak trust signals, unclear value communication, visible UX concerns, and possible technical gaps before launch pressure grows.
The scanner is useful for early signals. Human review is useful when you need confidence before launch, paid traffic, investor demos, or customer onboarding.
For messaging, positioning, onboarding, CTAs, trust signals, conversion readiness, and launch direction.
For UX, performance, product readiness, technical structure, code quality, and risk review.
For founders whose AI-built product is unstable, unfinished, or difficult to clean up.
You already built the product. Now get an early view of what may need attention before launch.
AI-assisted surface scan • No credit card required
No. This is an AI-assisted surface scan designed to review accessible signals and highlight possible areas worth reviewing before launch.
No. You can start with a website or app URL. If you want the scan to review more than the visible product experience, you can submit a public GitHub repo or upload project files.
Yes. The scanner is designed for AI-assisted founders and early-stage digital products.
The scan can only review what is accessible or submitted. If important areas are gated or private, the snapshot may recommend deeper review instead of making assumptions.
The GTM Scan reviews messaging, positioning, trust, CTAs, onboarding, and conversion readiness. The Technical Scan reviews UX, performance, product readiness, technical consistency, and areas that may need developer review.
