Hey HN. We’re the team behind Exploratory Policy—a causal-AI sandbox where policymakers, researchers, and curious citizens can test ideas before they ever hit the statute books.

What’s the problem? Traditional policy making is reactive. By the time lawmakers regulate a new tech wave, second- and third-order effects have already locked in. We end up with brittle rules that chase yesterday’s risks.

Live demos

- Causal Graph Analysis – tweak an edge weight and see the entire system re-equilibrate.

- Chain Reaction Simulator

- AI Policy Assistant – natural-language back-and-forth with citations to the underlying model

Looking for feedback:

- Which policy domains should we add next? (We’re eyeing housing, economic impact preparedness, and open-source AI).

- Any go-to datasets we should onboard quickly?

- How can we make the uncertainty bands more intuitive for non-quants?