After many months of refining the user experience, the app is finally ready for open beta. I’ve had to make some hard decisions during this time. There are many interesting problems to solve in this space, and I want so much to publish the path finding features. The unfortunate reality of small teams is limited … More Announcing Open Beta Program! #CityHikerBeta
In my last post, I described in detail the challenges of optimizing geospatial data APIs. From the beginning, one of the features I wanted to support was the idea of pathfinding. If you want to avoid a hill, one way to do that is with a top-down view of steep roads around you. This gives … More Pathfinding
CityHiker uses a TON of data. To give some perspective, the city of San Francisco contains a little over 50k street intersections. If we assume they are on an even square grid (they’re not), that means roughly 225 x 225. According to Wolfram, a grid graph Gmn has 2*mn-m-n edges. For a square grid, m = … More Map Search Optimization
This is the excerpt for a featured content post. … More App Coming Soon!