We Vibecoded an $80M App in 60 Minutes (With No Code)
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Intro
Today, we're going to build a mobile app, 100% with AI. This mobile app is going to be a full clone of an iPhone app that did $7 million worth of revenue last month. This app literally does $80 million worth of revenue per year. And we are going to build it for iPhone and for iPad in one sitting. And then we're going to send it to the App Store. On this channel, we don't waste any time. Let's just dive in.
Rest of video
- Muhammad explains the target app: a phone storage cleaner that feels like Tinder for photos, with swipe-to-delete and categories.
- The first prompt asks the AI to research Cleanup-style apps, understand the value proposition, and recreate the product for iPhone and iPad.
- They use VibeCode to generate the native mobile app, then show how the same project syncs between iPhone and iPad.
- The early build can import photos and show categories, but the delete behavior and UI refresh are not responsive enough.
- Multiple prompts focus on fixing swipe gestures, deletion state, animation errors, image sizing, aspect ratio handling, and stack behavior.
- They change the product approach from immediate deletion to a trash-bin flow so swiped photos can be reviewed and deleted in bulk.
- The app gets more polished with duplicate/blurry categories, folder switching, auto refresh, a custom name, and a generated monkey-style icon.
- The final section prepares the app for TestFlight/App Store submission, including icon files, plist permissions, Apple login, and native build steps.
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