video1.0<iframe src="https://www.loom.com/embed/6bd563ab9ac54b7a86fc7d82ba513f97" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/6bd563ab9ac54b7a86fc7d82ba513f97-1b6873836d7e59cb.gif300.214This Loom presents an open source election intelligence project called OS Selection Ent. The author collects open elections data, FEC bulk data, and US Census data, ingests it into MongoDB via Supabase, and builds a React and MapLibre GL front end. In the demo, users can select races and states, hover to see incumbents and candidates, and click to view funding from filing records. The interface also shows how election results shift over time from blue to red, with additional views for US House at the county and district level and notes about some missing or buggy data. The author also plans to incorporate news data to track narrative changes over time, referencing 2026 race dots.