How Blake Anderson built three AI iPhone apps earning $10M

Executive overview

Blake Anderson taught himself to code using ChatGPT and launched his first app within two months. Three apps — Riz GPT, UMax, and CalAI — now generate close to $20M per year combined.

Two forces make this possible now: AI has collapsed the cost and complexity of building intelligent apps, and TikTok/Instagram algorithms actively reward new accounts, making distribution learnable.

The real unlock is treating distribution as the product — content marketing wins B2C apps, not the app itself.

Why apps are a strong business right now

  • LLMs make it possible to build AI-powered tools that were technically impossible two years ago
  • Social algorithms are in competition and now push more views to new accounts than before
  • Influencer and UGC strategies can funnel millions of users at predictable cost
  • Subscription monetisation creates recurring revenue from day one

Finding and validating ideas

  • Look for niches already monetised with physical products — software can solve the same problem cheaper
  • Identify fragmented AI tools and roll them into a single branded platform
  • Validate by living inside the niche on social media: consume the content, become the target user, then build what you want
  • Riz GPT came from observing a real social problem; UMax came from spotting a gap in a heavily monetised beauty niche

Building from scratch as a beginner

  • Figma for design — use reference apps with similar functionality to inform your layouts
  • React Native with the Expo framework for cross-platform mobile development
  • Cursor as your IDE (AI-assisted coding)
  • CapCut for creating video content in-house
  • Hire five to ten contractors on Upwork for short tasks, then keep the best one

Marketing strategy

  • Two primary channels: influencer marketing and internal UGC (user-generated content posted to branded accounts)
  • In-house organic content yields 50–80% profit margins; influencer deals yield 25–70%; paid ads yield 0–30%
  • Finding the right creators requires creative persistence — Discord, DMs, even contacting family members
  • Iterate ruthlessly: as soon as a strategy produces profitable returns, double down until it stops working
  • Validate the idea through content before building — see if the market responds

Monetisation and costs

  • Subscriptions are the dominant model for high-revenue apps
  • Lower price points increase word-of-mouth and social sentiment; sustainable for long-term growth
  • Use Superwall to split-test price points, billing periods, and paywall placement — can lift revenue per download by 1.5–2x
  • Apple takes roughly 20% up to $1M in earnings, then roughly 33% above that
  • AI backend costs are under 3% unless using image generation or advanced voice
  • Bulk of expenses: marketing and staff

Mindset and biggest lessons

  • Urgency drives output — Blake's best work came when the stakes were highest (no income, something to prove)
  • Think from first principles; ignore social media consensus on what to build or how to market
  • Naval Ravikant: "If you want to make the wrong decision, ask everybody"
  • Content marketing is not optional for B2C — founders who win are already thinking about TikToks before they write a line of code

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