There’s a massive gap between having an app idea and actually having a product on the App Store that makes money. In this video, I show the exact AI workflow I use to bridge that gap solo, without getting stuck overthinking the stack or obsessing over design. Right now I’m building a screen time control app (think Opel), and I take you behind the scenes of how I research the niche, validate demand, and sanity-check the revenue potential before I write anything. I start in Astro by dropping in a direct competitor and pulling the keywords they rank for. My sweet spot is popularity over 20 and difficulty below 60—real demand, but not completely monopolized. Then I jump into Sensor Tower to check the ceiling, because I don’t want to compete in a niche where the winner is making $500/month. My rule is simple: if the top apps aren’t doing at least $10k/month, I usually avoid it. For UX and design, I use Mobbin to study real flows and pull competitor screenshots, then I feed those directly into Cursor so the AI has visual context. In Cursor, I run Opus 4.6 Max with plan mode on, and I’m strict with constraints (don’t change file structure, don’t touch styling). Finally, when it’s time to ship, I use AppScreens to create and translate App Store screenshots fast—because limiting yourself to one language is leaving money on the table.