How a 23-year-old built three AI consumer apps to $5M revenue

Executive overview

Blake Anderson built three AI-powered consumer mobile apps in under two years, generating roughly $5M in revenue with no prior software development experience. Each app followed the same core playbook: identify a trend, use ChatGPT to build fast, and find distribution through targeted influencer promos before competitors notice the opportunity.

The edge is not the product — it is speed, distribution, and the willingness to ship something imperfect before the market fills up.

RizGPT: the first app

• Spotted a viral TikTok niche — guys showing off their dating-app "rizz" — and built an app to generate responses from screenshots
• Used OCR to extract message text, passed it to the ChatGPT API with engineered prompts, returned reply options with an adjustable "spice meter"
• Two $50 influencer promos generated ~200,000 downloads in under a week and $80K MRR immediately
• Creators with 50–100K followers but millions of views per video outperformed accounts with larger but less engaged audiences
• Built entirely in SwiftUI with ChatGPT as the coding tutor; no backend, no user auth, API key exposed — shipped anyway
• Now rebranded as Plug AI; a competitor existed but had invisible distribution, so it effectively didn't exist

UMax: scaling the playbook

• Identified the "looksmaxxing" trend on Reddit and TikTok as the gym niche's replacement — faster path to male attractiveness
• GPT Vision API had just launched, enabling image analysis for under a cent per call — previously would have required a $50–100K custom ML model
• Co-founded with a looksmaxxing influencer (Sam Zia) for built-in community distribution and a technical co-founder
• App rates facial traits (jawline, skin, grooming) via classification — not direct scoring — and sets a "potential score" based on malleable characteristics
• Focused exclusively on actionable traits: skincare, hairstyling, grooming, weight — not fixed features like bone structure
• Hit $100K revenue in month one, $500K/month after going viral; now at ~$3M total
• Reached a local product ceiling; chose not to invest passion into pushing further

Cal AI and the studio model

• Handed the calorie-tracking app concept and playbook to two 17-year-old technical co-founders (Zach and Henry), taking an equal equity split
• Provided capital, design direction, marketing infrastructure, and mentorship; founders built and ran it
• Cal AI reached $300K+ in a single month and ~$3M ARR
• Studio model: dedicated engineer per app idea, shared design and social media infrastructure, parallel distribution testing across paid ads, influencer deals, and UGC

Distribution principles

• Followers are a vanity metric; views and engagement per video determine conversion
• Split-test messaging strategy for creator outreach the same way you A/B test ad copy
• For tight-knit niches (looksmaxxing), equity partnerships with leading creators make sense; for mass-market niches (calorie tracking), no single influencer can carry market penetration
• When a creator is high-value, go beyond the standard DM — join their Discord, message family, do whatever it takes
• Attribution is messy in mobile apps; flat-fee promos are simpler than affiliate codes

On building without technical experience

• SwiftUI chosen arbitrarily; Xcode opened; ChatGPT used as a real-time coding tutor for every individual feature
• Debugging loop: paste error back into ChatGPT, implement fix, repeat
• Action over analysis — starting with imperfect infrastructure is better than paralysis; technical debt can be fixed later
• Consumer utility apps are more forgiving of early bugs than consumer social apps, where first impressions drive permanent churn

Apex: the long-term vision

• Mission: self-actualization content brand and free app ecosystem — positioned against both extreme biohacking content and get-rich-quick influencer culture
• Structure modelled on FaZe Clan for gaming: a house of creators (Apex Blake, Apex Jesse, etc.) each expressing the same core philosophy differently
• Intends to file as a B Corp to avoid shareholder-value-maximisation obligations
• Free apps (holistic fitness planning, custom nutrition, skill-building tools) as a public good, not a monetisation funnel
• Majority of app revenue (~$2M+) being invested into Apex; personal and family support take the remainder
• Key lesson from FaZe Clan's decline: build the business model first, not last