Independent research projects powered by AI — exploring public data, asking tough questions, and sharing insights that go beyond the surface. It's never been easier to look deeper than what's handed to us.
We live in an era where information flows faster than anyone can process it. Media narratives get shaped, data gets cherry-picked, and important context gets buried. But we also live in an era where the tools to dig deeper have never been more accessible.
These projects use AI to do what would have taken teams of analysts — pulling public data, finding patterns, asking the questions that don't get asked, and presenting what we find. Some projects are for learning. Some are for sharing insights. All of them are about looking past what's handed to us.
AI is too powerful not to use for this.
Quantifying where FEMA flood maps have fallen behind reality — 79.4M daily precipitation observations, 1,099 county map dates, and a lag index that scores where outdated maps meet worsening rainfall.
Comprehensive market analysis across 26,297 ZIP codes using data from Zillow, Redfin, Census, FRED, and BLS. 13 research entries covering affordability, investment opportunities, price trends, and market dynamics.
A data-driven look at the structure of the US banking system — 4,408 FDIC-insured banks, $25.5 trillion in assets, and the striking concentration of financial power in a handful of institutions.
Joining CMS Open Payments (every pharma payment to a physician >$10) with Medicare Part D prescribing data to quantify the dose-response relationship between payments received and drugs prescribed.
A graph-first analysis of US capital: where money sits, where it flows, and which entities exert disproportionate control over money they don't technically own.