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skytold starts with trusted forecast and environmental data, normalizes it into day-by-day conditions, then uses proprietary heuristics and recommendation logic to translate those conditions into practical advice for clothes, commute, pets, garden, home, meals and the week ahead.
skytold currently uses forecast data from The Weather Company for the core meteorological layer: temperature, precipitation timing, wind, humidity, pressure trends and short-range conditions. Air quality enrichment may draw from Open-Meteo, and pollen context may draw from Google Pollen where local coverage is available.
None of these sources endorse skytold; we just use their data. We are always evaluating and triangulating the best available sources to make forecast guidance more accurate and more useful, and the source mix can change as better data becomes available in a region.
For official warnings and severe weather, the authoritative source remains the National Weather Service in the US and your local equivalent elsewhere. For US air quality context outside skytold, AirNow from the EPA is a good reference.
Forecast numbers alone are not enough. A 30% chance of rain at 4pm only matters if it changes whether you take the dog out at 3:30 or wait for the dry stretch at 5. skytold runs the forecast through a layer of proprietary heuristics and condition-mapping algorithms that turn raw signals into specific recommendations.
A few examples of the mappings:
City forecast pages update as the underlying forecast data changes, so the page you open is in sync with the latest provider data we have. Active city pages are warmed and refreshed through skytold's forecast systems so a popular city is ready when someone loads it, not generated cold.
Newsletter editions are prepared around the send cadence so the advice in your inbox reflects the forecast at send time, not whatever was true two days ago.
None of that requires you to think about it. It just means the forecast you see is the most useful version we can give you that day.
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