The data's public and the tools exist — you just need someone to point them at your question. You don't have to be an expert to get a real answer, and an expert can check it fast, because the code comes back with it.
What becomes open source is the code, not you. We can generalize it so it's not your exact question, and your name and office never get attached.
Real numbers, pulled from public data for this demo. (I built the EHRI HuggingFace repo these come from, and I work with the others professionally.)
Over the last six months VA headcount kept drifting down to 446,735 — about 35,147 below its early-2024 peak. Nurses are roughly flat near 119,500, with hiring just ahead of departures lately.
VA contracting in Minneapolis (Minnesota's 5th) rose $117M → $135M. But zoom out to the state and national networks like Optum ($21.2B) dwarf local vendors — you only know that if you read the query.
One catch, and it's the important one: understand what a number actually measured and what it meansbefore you cite it — not the code itself, but what it did. The whole method's written down, so someone who knows the topic can check it in a few minutes.
And it has to be fast — you need the number before the hearing, not next week.
This is early — I'm testing whether the model works. The near-term goal is small: about five real questions from staffers, enough to see if this helps. If you want to run with itand own it, great. Otherwise I'm looking for people to answer questions, build the site, or help fund it once it's proven — or just bring a public-data question and be an early user.
abigail.haddad@gmail.com