Jacket: Personalized Weather

Jacket is a personalized weather app that adapts to how weather actually feels to you – not to what the thermometer says.

Two people standing in the same cold wind don't need the same advice. Jacket starts by asking a few quick questions about how you experience cold, heat, and rain. Then it keeps learning: once a flagged event has passed, give it a thumbs up or down, and Jacket retunes the thresholds behind your forecast. It tells you exactly what changed, in plain English – "Going forward, we'll be slightly less sensitive about rain."

What you get:

- A forecast tuned to you: rain, cold, wind and heat get flagged at your personal thresholds, not generic ones.
- An event timeline: see the rain, snow, wind and cold coming today and tomorrow at a glance, instead of decoding hourly weather tables.
- Plain-English summaries: one line at the top telling you what to wear or bring today – and what tomorrow needs.
- One morning brief: a single notification each morning with the day's weather and what to wear. No alert spam.
- A home-screen widget: your summary and the day's flagged events at a glance, without opening the app.
- Learning you can see: every time Jacket retunes itself, it tells you what it changed.
- Learning that stays on your phone: the tuning runs entirely on your device. No account, no ads, no tracking.

How it works:

1. Set your location, or let Jacket find it.
2. Answer a few quick questions about how cold, heat and rain feel to you.
3. Check your personal forecast each morning to see what's ahead.
4. Rate events once they've passed. Jacket learns and does the rest.

Most weather apps show everyone in your city the same numbers. Jacket turns the weather forecast into personal advice: whether a morning is "chilly" or "freezing" depends on you, so Jacket describes the day in graded words matched to your own sensitivity, with degree numbers optional.

Weather data comes from Open-Meteo. Your ratings never leave your device, and they're cleaned up automatically after 90 days.