I build to test my thinking. These are the projects I'm actively working on, exploring, or have recently paused. No inflated outcomes — just honest descriptions of what's being built and why.
A quantitative framework for identifying macro regime shifts across equity, credit, and crypto markets. Combines structural indicators with on-chain data to map transitions between growth, contraction, and dislocation phases.
An open-source collection of mental models, frameworks, and decision tools for thinking about complex adaptive systems. Designed for practitioners, not academics.
Building the infrastructure for this site — a personal publishing system designed for long-form essays, research notes, and evolving idea threads. Optimized for depth over frequency.
A custom dashboard for tracking on-chain metrics that traditional finance ignores: active address trends, exchange flows, whale wallet movements, and protocol-level revenue. Built for personal research, not for show.
A structured system for logging decisions, the reasoning behind them, and their outcomes over time. The goal is to create a personal feedback loop for improving judgment — especially under uncertainty.
A personal knowledge management system for organizing research across markets, technology, and systems thinking. Cross-referencing ideas from books, papers, podcasts, and field observations.
I don't build to ship features. I build to understand problems. The projects listed here exist because each one forced me to engage with a system, a dataset, or a design challenge that sharpened my thinking in ways that reading alone couldn't.
Some of these will become real products. Some will remain tools I use privately. Some will be abandoned when I've extracted the lesson. All of them are honest representations of work in progress — no fake metrics, no inflated scope, no demo-day polish.
If you're building something in a similar space and want to compare notes, I'm always interested in that conversation.