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well, it s a game that we re never going to really solve you sound like a meteorologist now. i think we re getting closer. but basically what we do is take a bunch of people s contributions, decide if they corroborate. if they all match up in a certain small area, we update the forecast and we ll send you a notification to say, all our things are pointing to the fact that it s going to rain on you in the next five minutes. what are you finding in terms of how your app matches traditional weather forecasting apps? are they pretty much in line we re getting much better accuracy. there s a reason why we re focusing on the east coast because most of the weather comes off the land across from the west coast. this kind of app and predicting weather across the west coast is much tougher because it comes over the water. so we are in a much better position here because we have people all along and the weather travels from west to east. justin re, it s called the minutely app. ....
It snows a lot every year there. they re going to get between 6 and 10 inches of snow. new york expected to get between 4 and 8 inches of snow. and those estimates are better than the estimates we got earlier this week. we all know the weather is very hard to predict. but what if you could make it more accurate by sharing what the weather is like just by looking outside your window? it s today today s big idea. a mobile weather app not only gives you the forecast but allows you to make that forecast accurate. it s got this cool crowd sourcing feature giving people the opportunity to report the weather as they see it. if enough users report data that contradicts the app s weather models, the weather report changes. justin is the creator of the app. that s pretty cool. thanks, thanks. how did you come up with it? actually, it was a co-founder that came up with it, running from meeting to meeting in new york. he said, if i would have waited ....