Would be really useful to have a "Crime" filter as well. So you know where not to stay :)
Happens in SF a lot where a hotel 1 street over has a really good price, but turns out it's in a bad area (since it can go from good to bad here in 1 block).
@mscccc yes! I have a horror story of a colleague (based in SF) booking me on a bad block in soma. Never again!
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If you included photography spots, pulled from 500px, flickr, Instagram, Google as well as Facebook if they expose that in the API, I would love you long time. This would be a huge photography scouting tool, with the ability to plan where to stay to be close to those areas at the same time. Ping me if you want to chat about it.
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Really love this!
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I tried it, instantly got super meaningful results, even in my home town. I will definitely use it to plan my next city trip. Great Job, this is a great example how data points can be combined to create a more meaningful experience! Improvement: The clusters you build are named oddly, even as a local I don't know what they are referring to. Maybe make these clusters more meaningful by describing the "best street" inside the cluster, or by naming the cluster by what you can do best out of your selected preferences (e.g. awesome for bars).
Doing some hotel bookings now, and I'm going back to check if the hotels I'm about to book fall within the "hot zones" 😊 I will use this rather than a combo of TripAdvisor/Hipmunk/Hilton/SPG sites to figure this out after looking at Google Trips...phew!
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That's Really Cool!!! I would group the different categories of point of interests in different layers, so that one of the layer would be hotels giving the user the choose the best hotel close to what he is looking for.
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