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A durable, public-source reference for North American rail — car types, reporting marks, commodities, and the network itself — with a crowdsourced car-tracing game riding on top. Built inner layer first: the reference is useful on its own; the game is the upside.
Trackside — out in the field, with a train in front of you
The primary action — every car you log feeds the map, the journeys, and the game. One car or a whole consist: type it in or snap a photo and let AI read the mark.
Start here →Locate yourself and get the nearest rail lines with owner & distance.
Every logged car as a pin — inspect journeys or play them back through time, with bounties & the leaderboard.
Earn reputation, climb the rail ladder (brakeman → CEO), and see where you stand. Bounties — cars gone dark to go find — light up on the map as the data grows.
Reference — at the desk, look it up
AAR categories, typical specs, and the commodities each car carries.
Decode a mark to its owner — railroad, lessor, shipper, or private.
Look up a commodity to see the car types it typically moves in.
Does a product fill a bulk car's volume or hit its weight limit first?
Confirm the AAR car type for cars logged without one — AI suggests, you confirm. A data-quality queue.
Every logged sighting in one table — edit, delete, or de-duplicate directly. Owner-only data surgery with provenance.
Who's actually using Railspotlight — contributors, activity, and 24h traction at a glance. Read-only.
Rail terms, STCC / hazmat / UN placard reference.
An AI assistant grounded in the reference above — a rail expert on tap.