I built something I've been thinking about for a while — wanted to share it with you.

So this is my first try at being a GIT user. The idea is that this is the start of an idea, not a finished product. It's been sitting on my desktop for a bit, and I just need to throw it out into the universe.

It's inspired by Information Architecture by Richard Saul Wurman (LATCH) and the desire to be able to 'tune' data to find harmonic correlations. So behold...

Signal Harmonics is a cross-domain correlation instrument. You pick signals — GDP, inflation, S&P 500, violent crime, temperature anomaly, social mood, whatever combination — and it shows you how they move together across 2019–2024. Hit "Read the Signals" and Claude gives you an AI interpretation plus a historical parallel from another era that matches the same pattern.

The idea: most tools show you one domain at a time. This one asks what happens when you put economy, markets, society, environment, and crime in the same room and listen for the harmony.

It's live here: ajpaschka.github.io/signal-harmonics

The code is fully open source on GitHub under MIT. I built it intentionally minimal so it's easy to branch. Good starting points if you want to dig in: swap in live API data, add new signal categories, build a different visualization layer, or just run your own version on your own domain. The README walks through the full deploy in about four steps.

GitHub: github.com/ajpaschka/signal-harmonics

Fork it, build on it, break it. If you make something interesting with it, I'd love to see it. Break it down. Make it better.

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