Ex-Apple team launches Acme Weather, a new take on weather forecasting
The team recently announced the launch of their new app, Acme Weather, which they claim offers a better and more reliable forecast than the one they had at Dark Sky. The app will also offer a range of unique weather notifications, including fun ones like alerts about rainbows and beautiful sunsets.
“Forecasts are often wrong — it’s the weather, right?
It’s one of the hardest things to predict,” Grossman told TechCrunch via a telephone interview.
” Having an understanding of the alternatives helps people plan for big events, he noted.
“Being able to just see that right there on the timeline just gives you this intuitive sense of whether, do all the models agree, and you’re getting snow? Or do half of them say snow and half of them say rain?” he says.
At Dark Sky, the team had offered its weather API to developers for a fee.
Instead, Acme Weather is a $25-per-year consumer app, with a two-week free trial.
This helps to cover the costs involved with pulling in the different weather models and resources, which can be expensive.
“Most of our time has been spent on building our own forecast — our own data provider, in a way.
And this lets us do things like build multiple forecasts … [and] create any map we want, rather than having to rely on a third-party map provider,” Grossman noted. At launch, the app offers a range of maps, like radar, lightning, rain and snow totals, as well as wind, temperature, humidity, cloud cover, and hurricane tracks. Another feature, Community Reports, lets users share information about their current conditions to improve the app’s real-time weather reporting.
The app includes built-in notifications for typical things, like rain, nearby lightning, community reports, government-issued severe weather alerts, and more. It’s also going to experiment with alerts like rainbow predictions or when you might see a beautiful sunset.
Users will also be able to customize their notifications to focus on weather events they care about, like wind or UV index, or the possibility of rain over the next 24 hours.
If you have a billion users, mistakes are costly,” he tells TechCrunch.
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