- Compare current/future conditions with weather you experienced the day before
- Understand/compare how conditions change throughout the day
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WeatherSense started out as a hand-coded project: https://github.com/Leftium/weather-sense
- Would you consider this project a good example of how AI can be used to enhance coding?
- Claude helped implement many new features from the backlog, like 60-min precipitation forecasts
- Claude helped add some whimsical features: I only considered adding because AI experimentation is cheap:
* "Calm mode:" truly emphasizes how WeatherSense doesn't need numbers by removing/replacing all numbers from UI
* Dynamic background color based on sun angle (time + location)
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Major inspirations:
- DarkSky
- MerrySky (https://merrysky.net)
Curious though: do users miss the numbers when they need precise decisions?
I just checked, and the responsive layout seems to render correctly on Android Firefox/Chrome and iOS Safari.
You can even save WeatherSense to your home screen as a simple progressive web app.
- You can see the weekly high/low temperature trends by scanning down vertically along the left.
- Redder color means warmer; bluer means cooler.
- The gradient is constant for all data plots, so you can visually compare the temperature across days and hours.
- The gradient block for each day goes from the high to the low temp for that day.
- Even the hourly temperature plot line is calibrated to the same gradient.
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The sky background gradient is slightly superfluous, but it's very subtle and meant to emulate (a more vibrant) version of the actual sky.
For anyone who wants more gradients: there's a setting here: https://weather-sense.leftium.com/wmo-codes
I disabled those by default because they were distracting and didn't serve a purpose.
- You can also tap any unit to toggle.
- But the main point of WeatherSense is to transcend units ^^