How a TJ Maxx Cashier Built a $200K App With AI

TL;DR

• 1

  One sharp feature beats a bloated app: George says 90% of growth comes from a single "gotcha feature" you can explain in 3 seconds, like Cal AI's food photo calorie count or Wrestle AI's match analysis.

• 2

  Passion and niche focus converted better than bigger reach: His wrestling app made $17K in month one from about 1 million views, while a broader AI dating assistant got 1.8 million views and only $35.

• 3

  Distribution was built on relentless influencer outreach: George says he sent hundreds of DMs a day, got creators on calls fast, and often pitched 50-50 rev share deals before he had capital to pay standard rates.

• 4

  Onboarding should educate, personalize, and create FOMO: He uses question flows, mock analysis screens, and a paywall right after the user feels invested, like showing Wrestle AI "calibrating" a match before revealing the score behind a trial.

• 5

  Instagram was treated as both sales funnel and credibility layer: He set up brand pages with product demos, CTA-heavy bios, and collab posts so users saw proof before downloading and influencers assumed the brand already had traction.

• 6

  Vibe coding only works if you keep pushing past the first draft: George rejects the "AI slop" label and says he spends about 14 days refining apps in Rork with Swift-based AI coding, arguing the problem is underprompting, not the medium.