Build a production AI video generation app from scratch
A poster used Manus to build a full-stack AI video generation app from zero to production-ready in a few weeks.
Done withManus
- What they did
- The poster used Manus 1.6 Max to build a React Native app with TypeScript and Tailwind plus a backend for auth, database, file storage, webhooks, job tracking, and billing. They say Manus researched video APIs, set up service-account auth, built the generation pipeline, schema, and tests, then iterated on additions like image-to-video while the person reviewed code, checked logs when tests failed, and did device testing.
- How it went
- They report reaching an MVP in about 3 weeks with 55 passing tests, zero TypeScript errors, and features including text-to-video, image-to-video, auth, credits, history, and real-time tracking. It fell short on debugging without user context, and the app was still in beta testing when asked for a link in comments.
- Worth knowing
- Their stated Manus spend was about $198 over 2 intensive days, but they still recommend planning the data model earlier and testing on real iOS and Android devices sooner.
Try it yourself with Manus
Build a full-stack web app that lets users [generate videos from text, images, or scripts] using [video generation API or model]. Include user sign-up, a prompt form, a job queue with progress status, and a gallery of finished videos. Work in stages and show me a working preview after each one, and stop when the app is deployable and you have listed the environment variables and costs I need to set up. Pause and ask me before any step that spends money or publishes the app.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Undated
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