PatternRank

Hey Indie Hackers 👋

I’ve been working on a project called PatternRank — a financial data & analytics SaaS where I run real, production ML models on historical market data and surface quantitative stock rankings.

The motivation was simple: most market tools either oversimplify everything into “tips” or hide behind black-box signals. I wanted to build something research-first — where models actually run continuously, break sometimes, get fixed, and improve over time.

What I’ve learned so far:

• Getting ML into production is way harder than training models

• Data quality and edge cases matter more than algorithms

• Compliance and payments took more time than model tuning 😅

The product is intentionally not a trading platform:

• no trade execution

• no bots

• no personalized advice

It’s built for developers, analysts, and serious market learners who want to explore patterns, rankings, and historical performance as research.

I’m now at the stage where I’m looking for:

• feedback on positioning

• thoughts from other builders who’ve shipped data-heavy products

• lessons from anyone who’s monetized analytics tools successfully

Happy to answer questions about the tech, the models, or the business side.
Would love honest feedback — even if it’s “this is confusing” or “this won’t work.”

I’ve added a free trial, and for Indie Hackers I’m offering 50% off the first month with code IH50 (valid until March 1, 2026).