
Case Studies
Poker Analytics SaaS: A Full-Stack Case Study
How one developer built a 67K-line poker analytics SaaS with 43 API endpoints, Monte Carlo simulations, and Paddle billing — from zero to production.
Mar 27, 2026•9 min read
Engineering insights, business perspectives, and lessons from 9+ years of building products.

How one developer built a 67K-line poker analytics SaaS with 43 API endpoints, Monte Carlo simulations, and Paddle billing — from zero to production.

After 9 years of building OTT apps for WebOS, Tizen, and Roku — spatial navigation, ancient browsers, 512 MB memory limits, and the TV remote UX problem.

After a year of using Claude, Copilot, and Cursor on real client projects — where AI saves hours, where it wastes time, and the actual productivity numbers.

Real cost numbers ($30-80/hr vs. $60-150/hr), the bus factor truth, communication overhead, and clear advice on when each option makes sense.