Agenario - Prove your AI-built app is ready to launch.

Agenario is the evidence-first launch review platform for AI-built apps. Scan a GitHub repo, ZIP, or live URL for launch blockers across security, access control, payments, compliance, performance, reliability, and UX. Unlike generic AI code review, Agenario links findings to code, impact, confidence, reproduction steps, and runtime proof when available—then helps you fix and rescan before users find the problem.

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Hey Product Hunt! I built Agenario after seeing a growing problem with vibe coding: it is easier than ever to build and deploy an app, but much harder to know whether it is actually safe and ready for real users. A founder can launch a beautiful app in a weekend, while missing issues such as exposed credentials, broken access control, payment-flow mistakes, missing error handling, mobile failures, or compliance gaps. Agenario is designed to be the review layer before launch. You can submit a GitHub repository, ZIP file, or live URL. It maps the app, checks important launch risks, and turns findings into evidence: affected code, file and line references, impact, confidence, reproduction steps, and fix guidance. For supported flows, it can also run browser-based checks and show runtime proof. The goal is not to overwhelm founders with vague warnings. It is to answer one question clearly: “Can I launch this app with confidence?” I would genuinely love feedback on: 1. Which launch risks worry you most when shipping AI-built apps? 2. Would you prefer a one-time deep launch audit or ongoing monitoring? 3. What evidence would make you trust a tool like this enough to act on its findings? Thanks for checking it out.