u/qalpi

I'm the creator of subway.fyi, that uses historical data to forecast outages (sometimes 30 minutes ahead of the MTA), and allows replays of every incident in the system.

I keep hearing about the 15-minute city, and I wanted to see how far you could get in the city in 15, 30, or 60 minutes during a morning rush hour. This was the result!

1. Times Square.
2. Coney Island
3. Jamaica

Feedback welcome of course.

Tools: Python, NumPy, SciPy, Matplotlib, TimescaleDB. Data: MTA GTFS-Realtime, captured myself. More data at subway.fyi.

Try the new interactive version here: https://subway.fyi/60minutes?at=-73.91578,40.76028

Accidentally stripped the head of one of these black bolts from the chain cover (is there a better name for that part?!). Does anyone know the screw dimensions off the top of their head?

https://millionairesrownyc.com/

https://buses.fyi/awfulness

I created an "awfulness" score for every stop in the city that updates in real time. It's a combination of average ridership on the route, wait time and bunching.

Every stop is ranked and you can see the how each line and stop has ranked over the last week. The idea is to answer the question: is it just me or is the route really that bad.

This is the sister site to my subway.fyi tracker (which proved to be very popular with city council members).

Feedback is *absolutely* welcome.

UPDATE 7/14: I've made this as a standalone app that's MUCH easier to use and integrates directly with the Bosch sign in process. You can download it here: https://github.com/digitalhen/bosch-bar/releases/tag/v1.3-build4 (no tech skills required!)

Hello! I wanted a way to monitor my bike without using the Flow app. This borrows your own app's token to get the data, and then runs a service to grab the data every 5 minutes (so you'll need to be slightly technically minded to use this): https://github.com/digitalhen/bosch-flow. You get a notification on your Mac when your bike is fully charged. There's also a dashboard so you can explore all the trips you've taken on your bike, and to download the GPX files.

Example use case: automatically turning off the socket your bike is charging from when it's fully charged (the code supports webhooks for events)

All open source, nothing nefarious. Requires a Flow+ subscription. This was inspired by Phil-Barker/hass-bosch-ebike's code. I used AI to interrogate Bosch's end points to figure out what was available.

Happy to hear any feedback!