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!
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Hi HN! I'm Greg and I've been working on Yaak for just over a year. I usually describe it as a Postman alternative since most developers are familiar with that, but it's targeted more toward users
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