I'm one of the creators. This was built in 40 hours at Hackzurich 2015 (www.hackzurich.com) and combines the following:<p><pre><code> * The largest rent database of Switzerland
* A model of the train system of Switzerland
* A simple recommender system
* Google maps for name -> geolocation
* OpenStreetMap for the map
</code></pre>
There are some heavy calculations behind each query, so it takes about 15 sec to load. Furthermore, you need to like at least 3 apartments and dislike at least 3, before the system starts recommending.
We have worked also in a similar application for a few American cities, like Seattle: <a href="https://my.teleport.org/cities/c23nb/Seattle/neighborhoods" rel="nofollow">https://my.teleport.org/cities/c23nb/Seattle/neighborhoods</a> (also SF, NY and LA)
You might want to switch off DEBUG mode on your backend app...<p><pre><code> File "/home/django/django_project/wonsch/views.py" in get_data
35. homegate_result = requests.get('https://api-**CENSORED**.apicast.io:443/rs/real-estates',headers={'auth':'**CENSORED**'},params=homegate_params).json()</code></pre>
A bit off-topic: I lived in Munich for 20 years, now I live in Zurich and can't be any happier. Switzerland is a great place to work in IT. "HackZurich" is only one of the things that makes this city into what it is. Check out my post "Eight reasons why I moved to Switzerland" and shoot me a mail if you are interested in coming here. <a href="https://medium.com/@iwaninzurich/eight-reasons-why-i-moved-to-switzerland-to-work-in-it-c7ac18af4f90" rel="nofollow">https://medium.com/@iwaninzurich/eight-reasons-why-i-moved-t...</a>
Cool stuff. There's something similar for London too: <a href="http://property.mapumental.com/" rel="nofollow">http://property.mapumental.com/</a>
<a href="https://www.stay22.com/" rel="nofollow">https://www.stay22.com/</a>
Similar too, but for Hotels and Airbnb in case you are travelling to visit someone else's workplace (searchable by their company name or address)
I started a company called locatable (www.locatable.com) with a couple of mates some years back. The search engine did the same thing in the UK. The site is now offline, but there's some screenshots here <a href="https://data.gov.uk/apps/locatable-0" rel="nofollow">https://data.gov.uk/apps/locatable-0</a><p>By far the most time consuming aspect of running the algorithm was computing the polygons to plot on the gmap. The actual search is fairly straightforward, even when using roads instead of the relatively simple public transit graph to compute the isochrones.
I'd love to have similar things for super-markets (food/goods shops), for those without cars and buying lots of stuff. It might be more efficient to get onto a metro/subway and travel to a distant shop that is very close to the stop than to walk to a - physically - more proximate shop that requires you to walk and carry both ways.
Trulia does this in the U.S. for a number of cities. Here's New York: <a href="http://www.trulia.com/local/new-york-ny/driving:1|transit:0|position:40.681953;-73.959595|time:60_commute" rel="nofollow">http://www.trulia.com/local/new-york-ny/driving:1|transit:0|...</a>
I can't access the OP due to a firewall, is this similar to Zoopla's "time-travel" search?<p><a href="http://www.zoopla.co.uk/travel-time/" rel="nofollow">http://www.zoopla.co.uk/travel-time/</a>
I used something similar (<a href="http://www.triptropnyc.com/" rel="nofollow">http://www.triptropnyc.com/</a>) when I was choosing where to move to in NYC for the first time.