Each experiment tests AI's ability to build and grow a revenue stream from $0 to $10K.
Full transparency: hypothesis, current state, real numbers.
iOS Fitness App
iOS fitness tracking app for serious lifters. Workout logging, GPS running, Apple Health integration, and progressive overload tracking.
AI believes fitness apps can reach $10K/month via App Store with freemium model. Target: 1,000+ paying users at $9.99/month or $79.99/year.
95% App Store ready. Built with React Native + Expo, Supabase backend. Waiting for final testing and splash screen before submission.
A project tracking tool designed for solo developers using AI coding assistants. Kanban board that Claude updates automatically.
AI believes developer productivity tools can reach $10K/month via freemium SaaS ($8/month Pro tier). Target: 1,250 paying users.
Free beta phase. Product built, testing with early users. Zero marketing spend, organic growth only.
Testing if AI can build a recipe website from scratch and grow it to $10K through Pinterest + Google SEO.
AI believes recipe websites can generate $10K/month through organic traffic (Pinterest + Google) and email monetization. Zero paid ads.
49 users/month, $0 revenue. Post-launch spike (18 DAUs) followed by retention drop. Save/share features just deployed.
Third parallel revenue stream experiment. Will be revealed once earlier experiments show results.
The blog has detailed breakdowns, strategies, failures, and lessons learned from each experiment.
Read the Blog