u/qalpi

Hi folks, I created Subway.fyi, the site that uses machine learning to predict & detect problems on the subway before they become service alerts.

I've turned that into a free app, and I would love some beta testers before I launch it for real, especially from people willing to give me feedback!

https://testflight.apple.com/join/B5rkC7Ms

It has a trip planner, an around me feature, but primarily I want people to test the "Delay Radar" function. Pin your work and home stations, and see if it pushes you any useful alerts before an outage.

Edit: Thanks for all the super feedback by email and through Testflight. The main issue around bot protection has been resolved, so everything should be loading now. Please let me know how it goes during your commute tomorrow.

(Posted with permissions of the mods)

You probably heard that last week the Mayor released a whole bunch of recently re-discovered records about air quality, asbestos testing, draft and changing government guidance etc. Their portal to explore the data was not the best -- see the last screenshot, so I built something better at https://911records.nyc

You can read the story about how it came about here: https://www.thecityreporter.nyc/2026/09/17/september-11-documents-website-henry-williams-health/

We lost someone in my family to WTC-related illness and really struggled to get certified because of the lack of documentation. I'm working to get this into the hands of as many survivors as possible.

It's available both as a website, where you can explore the map of lower Manhattan, entities like testings companies, and ask questions like "What kind of tests were done on Pearl Street?". As you find documentation that might help your case, your can save it into a new case file and export it all at once.

It's also available as an MCP server for ChatGPT and Claude, so you can research more deeply. It's awaiting publishing in their stores, but for now you can access it by adding https://911records.nyc/mcp -- there is no authentication required.

I'm hoping that this project will help others get the compensation they deserve.

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!