Show HN: Groundhog AI Spring API (groundhog-day.com)
For anyone building weather-related AI apps, I am releasing an exciting iteration on last year’s model.
My Groundhog API is trained on 130 years of data and makes use of 82 separate data sources. Similar to DeepSeek, it is completely open source and free to use.
The primary use case is to make inferences about whether spring will come early or not, using a Mixture of Exports (MoE) approach, but surely others can be found if you are creative.
Other use cases: - All predicting groundhogs - Where they all live - Whether they are “real” groundhogs or imposters
Excited to see what people do with it!
19 comments
[ 3.2 ms ] story [ 74.2 ms ] threadBut you are right, SOC2 is the next step for sure.
Articles like "Grading the groundhogs" are only possible with clean datasets: https://www.noaa.gov/heritage/stories/grading-groundhogs
I've found "T/F" vals are not always portable between languages ("True" in Python vs "true" in JS) whereas integer comparisons are always interpreted correctly.
What? Booleans are booleans, they are converted to/from the language's boolean type when you encode/decode to JSON.
This is actually a great, approachable service to teach my teen child about APIs and data services.
I hope your child builds the next unicorn startup using this API!
Do you develop a rack-mounted standalone appliance in case we need an Air GaaP solution?