Satlas is a real-time 3D orbit tracker for 31,000+ objects, satellites, and debris, queryable in plain English via an AI agent. Ask "when does the ISS pass over Melbourne?" and it runs actual orbital mechanics, tells you the time, max elevation, and whether the sky will be dark enough to see it. Click any country to see every satellite overhead right now. Features: pass visibility scoring, category filters, country mode, and a public REST API at satlas.app/docs. No auth. Fully open source.
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Maker
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Hey PH! I'm Premaansh, a CS student in Melbourne. I built Satlas as a portfolio project, and it turned into something I'm genuinely proud of.
The thing that drove the whole build: most space tracking tools are either enterprise systems or fragmented hobby sites. There's no single place a curious person can open, see everything in orbit, and just ask a question in plain English.
What I wanted to prove technically: an AI agent that actually orchestrates real scientific computation, not one that just wraps an LLM around some text. When you ask about a pass, the agent calls a skyfield backend that propagates the satellite's orbit with SGP4, computes the sun's position using the Meeus algorithm, checks if the satellite is in Earth's shadow, and scores the pass quality, the AI never guesses any of that.
A few things that were fun to figure out:
ā Satellite dots rendered as billboard quads with a circle shader (2 triangles per object vs 72 for a sphere ā same look, fraction of the GPU cost across 31k instances)
ā Country fill polygons on a sphere need edge subdivision to ā¤4° or the flat triangles dip below the Earth's surface and disappear
ā The /api/catalog endpoint silently got blocked by uBlock Origin (the word "catalog" matched ad-tracker filter rules) ā aliased it to /api/tles
Would love your feedback. If you're into space, orbital mechanics, or AI
agent architecture, happy to go deep on any of it in the comments.
https://satlas.app | https://github.com/PremaanshVyas...