u/kardolus

¡Hola a todos!

Estuve trabajando en una página para explorar la actividad de las estaciones de Ecobici en la Ciudad de México:

https://ecobici.kardol.us/

La página guarda datos de las estaciones a lo largo del tiempo, así que no solo muestra cómo está la red en este momento. También permite ver patrones históricos de disponibilidad de bicicletas y anclajes, explorar por colonia y analizar el comportamiento de estaciones individuales.

Vista general de la ciudad

Además de ver el estado actual, puedes identificar qué estaciones suelen quedarse sin bicicletas, cuáles casi siempre están llenas y cómo cambia la actividad durante la semana.

Detalle de una estación o colonia

Me encantaría recibir comentarios.

• ¿Hay alguna estadística o visualización que les gustaría ver?
• ¿Alguna colonia o estación que valga la pena analizar?
• Si encuentran algún error o tienen ideas para mejorar la página, ¡bienvenidas!

Hi everyone!

I’ve been working on a website that continuously tracks Divvy station activity across Chicago:

https://divvy.kardol.us/

Instead of only showing the current state of the network, it stores historical snapshots so you can explore how stations behave over time. You can browse the city as a whole, drill down into neighborhoods, and compare how different parts of the city use the system.

City overview

You can also inspect individual stations to see bike availability, dock availability, and weekly usage patterns, making it easier to spot stations that are consistently busy or empty.

Station patterns

I’d love to hear your feedback!

• Are there statistics or visualizations you’d like to see?
• Any stations or neighborhoods worth highlighting?
• Found a bug or have an idea for an improvement? Let me know!

Hi everyone!

About two years ago I posted an analysis of the Citi Bike parking crisis in Red Hook. The response was awesome, and a lot of people asked whether I could keep tracking the data over time.

But I was lazy… and busy with work. 😅 Until this week.

I’ve built a small website that continuously tracks Citi Bike station activity and lets you explore how stations behave throughout Brooklyn:

https://citi.kardol.us/

Drill down into Red Hook patterns

The original post focused on one question: why is it so hard to find an empty dock in Red Hook? Since then I’ve expanded the project from a one-off analysis into a live dashboard covering the entire borough. You can drill down by neighborhood and inspect individual stations, dock occupancy, bike availability, and weekly usage patterns.

Original Reddit post:
https://www.reddit.com/r/NYCbike/comments/17deqqt/dock_blocked_the_citi_bike_parking_crisis_in_red/

Borough wide overview

Behind the scenes I’m storing snapshots over time in my own time-series database. Brooklyn alone already generates around 8 GB of data every 90 days, so scaling this to all five boroughs is becoming an interesting engineering challenge (I probably need to get smarter about compression before expanding citywide!).

I’d love any feedback:

• Are there statistics or visualizations you’d like to see?
• Any neighborhoods that would be interesting to compare?
• Any bugs or ideas for improvements?

Solo dev clearing the 14-day Google production-access requirement. Looking for reciprocal swaps — I install your beta and keep it installed 14+ days, you do the same for mine.

What mine is: tiny map app — drop pins, organize with emoji categories, share your map as one link that works on web, iOS, and Android. No accounts, no tracking, all on-device.

Please DM (don't reply publicly). We'll exchange Google account emails + opt-in URLs in DMs, add each other to our tester lists, both install. 14-day commitment both ways.

I’ve been bouncing between cities for a while and I keep running into the same problem:

Someone tells me about a great cafe in Lisbon. I save it somewhere.
A few months later a friend asks “send me your Tokyo spots?” and I realize half of them are gone or scattered across random places.

Some are in Google Maps lists.
Some are screenshots.
Some are buried in old chats.

Then I open the map later and see a bunch of identical stars and have no idea why I saved half of them.

I end up rebuilding the same lists over and over.

I tried using Google Maps lists more seriously, but once you’re dealing with multiple cities and sharing them with people, it starts to break down. Notion worked for a bit, but it felt like I was managing a database instead of saving places.

So I built a small iOS app for myself to just keep places on a map and share a clean view with friends.

The only thing I really cared about was that sharing works in a browser. I didn’t want to send someone a link and have it turn into “download this app first.”

Still figuring out a few things:

• How people actually organize across cities (one big map vs per city vs per trip)
• Whether shared maps are useful or just messy
• How to deal with people who already have huge Google Maps lists

Curious how people here handle this.

Are you sticking with Google Maps lists? Something else? Or just accepting the chaos?

(For context, the little app I built is called Nemo.)