I visualized the entire history of Citi Bike in the browser
Each moving arrow represents one real bike ride out of 291 million, and if you've ever taken a Citi Bike before, you are included in this massive visualization! You can search for your ride using Cmd + K and your Citi Bike receipt, which should give you the time of your ride and start/end station. Everything is open source: https://github.com/freemanjiang/bikemap Some technical details: - No backend! Processed data is stored in parquet files on a Cloudflare CDN, and queried directly by DuckDB WASM - deck.gl w/ Mapbox for GPU-accelerated rendering of thousands of…
In plain words
This visualization displays all 291 million Citi Bike rides as animated arrows moving across a map in the browser. Users can search for their own rides using their Citi Bike receipt to locate their trip among the dataset. Built with no backend infrastructure, it uses DuckDB WASM to query parquet files stored on Cloudflare's CDN, with GPU-accelerated rendering through deck.gl and Mapbox to animate thousands of concurrent bike routes. The project is open source and designed for anyone interested in exploring New York City's bike-sharing data and patterns.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Each moving arrow represents one real bike ride out of 291 million, and if you've ever taken a Citi Bike before, you are included in this massive visualization! You can search for your ride using Cmd + K and your Citi Bike receipt, which should give you the time of your ride and start/end station. Everything is open source: https://github.com/freemanjiang/bikemap Some technical details: - No backend! Processed data is stored in parquet files on a Cloudflare CDN, and queried directly by DuckDB WASM - deck.gl w/ Mapbox for GPU-accelerated rendering of thousands of concurrent animated bikes - Web Workers decode polyline routes and do as much precomputation as possible off the main thread - Since only (start, end) station pairs are provided, routes are generated by querying OSRM for the shortest path between all 2,400+ station pairs
Does the same job
all alternatives →- BNbikemap.nyc – visualization of the entire history of Citi BikeJan 2026 · github.com · ▲8
-- Please refer to the main url: https://news.ycombinator.com/item?id=46530832
- ABADS-B visualizer2024 · adsb.exposed · ▲339
I've created a web app for querying and visualization of ADS-B datasets: https://adsb.exposed/ Source code: https://github.com/ClickHouse/adsb.exposed/ The results significantly exceeded my expectations because the pictures are insanely beautiful, and the data is a treasure trove. It proves many statements that were not certain: - it is feasible to generate tiles by aggregation on a pixel level (instead of hexagons or rectangular grid); - it does not require JPG/PNG tiles - we can transfer raw bitmap data with zstd compression; - it is possible to…
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- BRBike route planner that follows almost only official bike trails2024 · trailimap.com · ▲279
Hey guys, I built a route planner that is mostly focused on bike touring and using existing bike infrastructure. For each request you're shown what bike tracks/trails your route uses and can further explore them by showing them on map or going to the official trail route. The main idea for the app is to have a friendly and easy to use planner that would make heavy use of official bike trails data (mainly from OpenStreetMap) and make it easy to plan a longer trip using the best possible bike routes out there. Currently the app only works for the Euro region but I'm planning to add North…
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Launched alongside, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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Automatic AI-powered code reviews the moment you open a PR
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