I'm building an app to help users find free and paid street parking in Vancouver: https://instaparkr.com/
While apps like Parkopedia and SpotAngels tackle the same problem, their one-size-fits-all approach often results in incomplete, missing, or outdated data.
My approach is different: go deep on one city at a time by combining multiple publicly available datasets. This doesn't scale horizontally since each city has different data sources and formats, but the goal is to become the definitive parking resource for one city, build automation to keep it current, then methodically expand city by city.
If you are based in Vancouver, do give it a go. Your feedback would be awesome!
While apps like Parkopedia and SpotAngels tackle the same problem, their one-size-fits-all approach often results in incomplete, missing, or outdated data. My approach is different: go deep on one city at a time by combining multiple publicly available datasets. This doesn't scale horizontally since each city has different data sources and formats, but the goal is to become the definitive parking resource for one city, build automation to keep it current, then methodically expand city by city.
If you are based in Vancouver, do give it a go. Your feedback would be awesome!