Show HN: Meteosource – Hyper-local weather API based on improved ML models

[Sikara]

Hi HN,

I am excited to share the new version of my weather API with you. It offers even more accurate forecasts than before, thanks to updates to our proprietary ML model.

My weather forecast website initially started as a personal project. Later, it became more professional, and recently, we have evolved into an advanced weather API. Our goal from the beginning has been to offer affordable yet superior services.

To achieve high accuracy, we incorporated machine learning into our calculations. Our forecasts pull data from multiple sources and use proprietary numerical weather models. These models also learn from historical data to reduce bias. This applies to hyper-local forecasts as well, where each point is further refined based on surrounding data.

In addition, you will find advanced features like a minute-by-minute forecast for the next hour, updated every ten minutes.

I would be grateful for all your thoughts and any ideas!

[lazerbones]

When is the IOS app coming :) Looks great!

[Sikara]

Hi, thank you! We plan to launch the iOS app by the end of the year or next year.

[FL410]

Cool! Pilots are always looking for better/more accurate weather data.

If you can predict visibility (in statue miles) and ceiling height (in feet AGL), you can predict the flight category (VFR, MVFR, IFR, LIFR) which would be quite useful for aviation.

[Sikara]

Great, thank you for the helpful tip! We can work with the variables you mentioned in our customized endpoints, even though they’re not currently included in the standardized subscriptions. We're considering standardizing aviation parameters in the future. Do you have any other suggestions or features that would be useful for you?

[Sikara]

You can find the documentation at https://www.meteosource.com/documentation

[acc_297]

The weather underground started as a passion project (both weather undergrounds did actually) and it's become one of the most trusted internet sources for weather.

Good luck!

[Sikara]

Thank you!