#1. Option Screener - option-screener.com

I will start with the one I had in my head for years: Option Screener.

This is the natural next step after The Wheel Screener and LEAPS Screener. The goal is broader coverage and faster insight: real-time options analytics, strategy screeners, flow tracking, put/call context, and momentum-style filters in one place.

Out of everything I shipped in January, this is the product that feels most like the long-game foundation.

#2. PriceArb - pricearb.com

At number two is PriceArb, my prediction-market analytics platform.

PriceArb is built around one idea: markets can overreact in live event contracts. The app compares live prices against historical probabilities, then surfaces potential edge setups across dashboards and tools. It currently leans heavily into NFL use cases, with more sports support in the pipeline.

This one was especially fun from a systems perspective. I used Claude plus terminal MCP workflows to move quickly from concept to production features. I also published a deep NFL stats post as part of that launch.

Commercially, this launch did not gain traction yet. I still like the product, but I am parking it for now while I focus on products with stronger pull.

#3. Hindsight Data - hindsightapi.com

Hindsight Data is a historical market-context API for traders and quants.

You can query economic releases, Fed speakers, and other market-moving context by date range, then use that context in backtests or trading research. Typical questions it answers quickly:

• "Which dates had FOMC events?"
• "When was CPI released, and what were the actual vs forecast values?"

It is already useful in my own stack (including AMT JOY), and it is also a testbed for the API-first direction I want across my other products.

#4. Semanticprint - semanticprint.com

Semanticprint is still early, but the core concept is one I use every day: turn a repo into high-quality LLM context in seconds.

You pass a GitHub repo URL, and the system analyzes structure, dependencies, and code patterns, then generates outputs like semantic fingerprints and AI-ready context files. It is more exploratory right now than revenue-focused, but I think the timing is good as agent workflows keep accelerating.

Building is Outpacing Launching!

My main takeaway is simple: I am building faster than I can launch and market.

February will still be a shipping month (especially on API work), but I need a tighter operating loop: double down on what is already working, and stop spreading attention across too many active bets at once.

Thanks!

As always, thanks for stopping by. Looking forward to a fantastic 2026.

Best wishes,

-Chris