Show HN: SF Microclimates
Posted by weisser 3 days ago
Comments
Comment by meatmanek 3 days ago
There are thousands of sensors around the city. You can get a sense of shade-vs-sun temperatures by the spread of numbers you see (on cloudy days, the reported temperatures will be much closer together, while on sunny days, sensors in the sun will report elevated temperatures.)
You do need to make sure to disable indoor sensors, and keep in mind that some sensors are faulty. (I've seen some that have been reporting a constant temperature for years.)
Comment by why_at 3 days ago
I don't understand why it includes indoor sensors at all let alone by default. Why would I want to know the temperature inside some random building?
Comment by weisser 3 days ago
Add location_type=0 to only get outdoor sensors
Comment by fragmede 3 days ago
Comment by roughly 2 days ago
Comment by 650REDHAIR 3 days ago
Mr. Chilly is one of those niche apps that sparks joy and reminds me of the early app days.
Comment by weisser 3 days ago
It's an excellent iOS app: https://mr-chilly.com/
My goal was to do something similar as a Claude Code skill
Comment by jonpurdy 2 days ago
Only suggestion: separate Inner and Outer Sunset since there can be a massive difference between near Ocean Beach and near Irving/9th Ave in autumn (ie. SF's hottest season).
Edit: nevermind, just saw both inner_sunset and outer_sunset in /neighborhoods. I'd assumed it was merged based on the human readable list on the landing page. Thanks for the fun API!
Comment by weisser 2 days ago
Comment by why_at 3 days ago
Usually what I want the weather for is to choose what to wear, not to put in a bash script or an LLM or something.
Comment by weisser 3 days ago
Comment by weisser 2 days ago
Comment by aurareturn 3 days ago
Made it in about 5 minutes with v0.
Comment by trehans 2 days ago
Comment by aurareturn 3 days ago
https://v0-weather-app-one-coral.vercel.app/
Surprisingly, Lands End is the highest temp right now.
Comment by jluxenberg 2 days ago
Kinda neat!
Comment by forthwall 3 days ago
Comment by brdd 2 days ago
(Thank you to those who maintain public sensors!)
I do notice that in my neighborhood (Noe Valley) a lot of the sensors are very incorrect or often offline. I've resorted to taking the median and throwing outliers away, but even this often doesn't work. This is the challenge of relying on crowdsourced data I suppose...
Comment by lubujackson 2 days ago
Comment by weisser 2 days ago
note that I also have a system where if the temperature seems outlier compared to direct neighbors it averages the 3 nearest neighbors. this usually occurs in neighborhoods with a single sensor that can skew the results heavily at certain times of the day, etc.
Comment by NathanFlurry 2 days ago
Hacked together an SF parks ranking system based on current weather
Comment by ____tom____ 3 days ago
Is that the source of the data?
Comment by weisser 3 days ago
Comment by lukevp 3 days ago
Comment by weisser 3 days ago
Comment by x3n0ph3n3 3 days ago
Comment by weisser 3 days ago
Comment by spicycorncheese 3 days ago
Comment by weisser 3 days ago
You should use Purple Air if you want to make it more focused https://www2.purpleair.com/