Me

Meteosource Weather API: current, forecast and historical data using ML

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Meteosource Weather API: current, forecast and historical data using ML

As Dark Sky's API will stop working soon I thought I'd suggest a possible replacement. It is well known that most weather APIs just download data from NOAA and "repackage" them to JSON format. This means you will get data only for the nearest grid point which might be a few kilometers away and at a different altitude than your actual location. Meteosource combines more models (GFS, ECMW, UKMO, GEM,...). It compares individual models' performance to historical data and uses machine learning to create a single output. This approach minimises inaccuracies of individual models and feeds a proprietary hyper-local model that computes weather exactly for the specified location. The historical data API is based on actual measurements (not forecasts as usual) and there is a free developer plan available. I greatly appreciate any feedback and thoughts!

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, models · Missing: agents, macos, agent
79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
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Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
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AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
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Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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