Oleks

Klimly - Weather from many sources, one truth

Klimly cross-checks several weather providers to give you the most accurate forecast. AI analyzes the data to tell you what to wear, when to go outside, and how weather affects your health — sleep, allergies, mood, energy. Free, private, no account needed.

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Oleks
Hey Product Hunt! I built Klimly because I was tired of checking 3 different weather apps and getting 3 different answers. One says rain at 2 PM, another says clear skies, the third says "partly cloudy" (thanks for nothing). So I thought: what if instead of picking one source and hoping for the best, we just... used all of them? Klimly pulls data from several independent weather providers and calculates a weighted consensus. Providers that have been more accurate over time get more influence. It's like having many meteorologists vote, but the ones with better track records get louder voices. But here's what I'm most excited about: the AI layer. Raw weather data is useless if you don't know what to do with it. "Pressure: 1013 hPa" means nothing to most people. But "Pressure is dropping — if you get migraines, take precautions this afternoon" — that's useful. Klimly's AI reads the full weather picture — temperature trends, hourly precipitation timing, UV peaks, air quality, pollen counts — and translates it into: - What to wear (with specific reasons: "Sunglasses — UV index 6", not just "it's sunny") - When to go outside (activity-specific: "Run before 14:00, rain starts at 15:00") - How weather affects your body (sleep, allergies, hydration, joint pain, mood, energy) A few things I'm proud of: 1. No account needed. Just open the site. That's it. 2. Privacy-first. Your location is rounded, cached for 15 min, never stored permanently. No tracking pixels, no analytics cookies. 3. Transparent accuracy. You can see exactly which providers are being used, their individual forecasts, and how they compare. No black box. 4. It's free. No premium tier, no "unlock advanced features for $4.99/month." The ensemble approach is inspired by how meteorological agencies actually work — ECMWF, GFS, and other models are routinely compared and blended. I just made it accessible to everyone. I'd love your feedback. What features would make this more useful for your daily routine? What's missing? Try it: https://klimly.com