1,910 karma · joined January 8, 2014
snip.ly a startup that is building a link shortner with a call to action built-in gets rejected by YC for not being the "next Google" (example shortlink: http://snip.ly/as6)
Google is much better when it comes to both places and addresses, but OpenStreetMap is improving rapidly and you can get great coverage in most big cities. Also in theory you could source the POI data from some other place and overlay that on top of OSM street data.
Google used to be much better in terms of ease of use, but with players like MapBox that has changed dramatically. Its so pleasant these days to use OSM to make a mapping product -- try out cartodb.com or mapbox.com just for kicks.
And the big plus of OSM of course is that you can pick and choose what data you want to render, what you want to do with it (my fav new example is this scooter routing engine that takes into account the hills in SF while routing --> https://www.mapbox.com/blog/launching-smart-directions/)
As for "hard data" -- here are a couple of studies that compare OSM with private map providers
- http://eprints.nuim.ie/2476/ - http://www.spatial-accuracy.org/system/files/img-X07133419_0...
What would a version of TeX reimagined by Jony Ive look like?
In it, the Aereo CEO admits to being "anxious" because the $100 million on the company is essentially down the drain depending on what the Supreme Court decides. He says, this is mainly due to the 110-odd people who work at the firm. Fair-nuff -- seems like a reasonable sort-a guy.
You will probably not save any money following Kayak’s price prediction algorithm and instead buying tickets two weeks ahead of your scheduled departure is a reasonable strategy. You should use prediction algorithms anyway, because they wont lose you money either and help you gain "piece of mind".
see: http://www.theatlantic.com/technology/archive/2012/07/mit-ec...
1. what are the immediate applications of having such a dataset? either for the mouse or the brain?
2. once we have the map, will we also have the technology to identify precisely what neurons are lighting up and how information is travelling during certain actions / responses? in short how far are we from a green / yellow / red Google Maps style traffic map for the brain?
This is the best example for the impact of policy-driven legislation.
PS: not affiliated with mapbox in any way.
- multi user support - ability to extract raw data - android support and web dashboard