Case Study · SaaS Product
I built an AI discipline coach. Then I used it to trade better.
Daat Money is a production SaaS platform I designed, built, and run end to end. It solves a specific problem: traders with a good strategy who lose money because they break their own rules. The platform enforces discipline, tracks every decision, and scores execution — not just P&L.
The problem
Retail traders lose money breaking their own rules, not because their strategy is wrong.
The build
Flask dashboard, Python Discord bot, Whop billing, Pine Script indicators, Google Sheets data pipeline. Solo-built, production-deployed.
The model
Whop membership and billing. Live at daat.money. Actively used by real traders.
Daily Prep · risk calculator · checklist
Start every session knowing your exact risk
The Daily Prep screen calculates your exact position size, max contracts, max loss, and R:R before you touch a trade. It checks your drawdown tier, locks sizing to your account balance, and runs an 11-item pre-market checklist tied directly to the rules. You cannot skip prep and claim you followed the process.
Trade Journal · discipline scoring
Scored on execution, not just profit
The Trade Journal scores every session across six dimensions: prep discipline, rule adherence, risk sizing, stop adherence, loss control, and non-interference. A radar chart visualises where discipline is breaking down. The overall score is what goes on the leaderboard — because a profitable trade taken the wrong way is still a violation.
Leaderboard · community accountability
Ranked by discipline, not by profit
The community leaderboard ranks members by their discipline score, not their P&L. This is the core differentiator: Daat Money does not reward lucky trades. It rewards following the process. Members compete on execution quality, which is the only edge that compounds.
Built solo. Deployed to production. Running live.
This is not a mockup or a side project. It is a complete, monetised product running on infrastructure I own and maintain.
Flask + Python
Full-stack Flask dashboard deployed on Railway. Python Discord bot for real-time trade alerts and rule enforcement.
Whop billing
Membership and billing handled through Whop. Subscription management, access control, and payment processing without building it from scratch.
Market data pipeline
Automated Alpha Vantage and yfinance data pipeline to Google Sheets. Custom TradingView Pine Script indicators for the platform’s rules framework.
Security by default
Authentication, session management, and data handling built to CISSP standards from day one. Not bolted on after.
Want something like this built for your business?
Daat Money is what happens when I build for myself. Bring me your problem and we scope it together.