factcircuit
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
A map of wildland fire crews in the US: where they are, who they work for, and what's hiring near them.
DataPython · JavaScriptGitHub @adpmccallOnlineOwner unconfirmed
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Interactive map of US Forest Service wildland fire crews
Translation pending
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
Interactive map of US wildland fire crews — Forest Service, BLM, NPS, tribal,
state, county and local agencies. The map is the landing page:
open the site and you immediately see all crews as dots on a free
OpenStreetMap-tiled Leaflet map, loaded from Supabase. No homepage, no login.
See ARCHITECTURE.md for the full plan and CLAUDE.md for how we work.
2. Set up your Supabase connection (public anon key only):Read the full README ↗Interactive map of US wildland fire crews — Forest Service, BLM, NPS, tribal, state, county and local agencies. The map is the landing page: open the site and you immediately see all crews as dots on a free OpenStreetMap-tiled Leaflet map, loaded from Supabase. No homepage, no login.
See ARCHITECTURE.md for the full plan and CLAUDE.md for how we work.
Install dependencies (first time only):
npm install
Set up your Supabase connection (public anon key only):
cp .env.example .env.local
Then edit .env.local and fill in NEXT_PUBLIC_SUPABASE_URL and
NEXT_PUBLIC_SUPABASE_ANON_KEY from your Supabase project
(Project Settings → API). .env.local is gitignored, so your values are
never committed.
Start the dev server:
npm run dev
Open http://localhost:3000 — the map should load with all crew pins.