How I Farm Money On The App Store Using AI (you can too)

How I Farm Money On The App Store Using AI (you can too)

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This All About AI video documents a real, repeatable workflow for using Claude Code to research, design, and ship iOS apps to the App Store in one to two hours per app. The creator shares their actual results — 319 units sold across two apps, generating $789 in revenue and trending toward $60 per day — and works backward to explain the research and build process that produced those numbers.

The research phase relies on Google Trends (filtered by category and time window) and Subrift, a tool that surfaces fast-growing Reddit communities, to identify trending topics with low app-market saturation. The creator shows the live process of picking a topic (non-toxic product awareness), pulling community posts as source material, and feeding them into Claude Code with a structured prompt asking for a research package. Claude Code then spawns sub-agents to analyze the material and produce a brief ready for the build phase.

The build itself moves to a Mac with an automated Claude Code setup the creator has used in prior videos, where the research package is handed off as context and the app is generated with minimal manual coding. The video is candid about the hit-and-miss nature of this approach — the creator explicitly warns against over-investing in any single app — and frames it as a volume and trend-timing game rather than a get-rich shortcut. Useful for developers and indie creators exploring AI-assisted app generation as a side income stream.


📺 Source: All About AI · Published May 19, 2026
🏷️ Format: Workflow Case Study

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