App developers want to thoroughly test the happy path and exceptions in the product experience before shipping to customers. Developers need a way to mock user movement to test their live location features before releasing the app. This involves mocking user location and movement that is as close to real world behavior as possible. Both Android OS & iOS provide APIs and tools to simulate such location data but these tools are insufficient. They provide a stream of locations (latlongs) but do not provide varying activity data, location confidence, and other sensor data that power the awesome features of HyperTrack.
Ever struggled with users mocking locations in your Android app? Mock location apps have gained popularity amongst app users on the back of Pokemon GO and an increasing number of location-aware apps. A large number of users have discovered the power of mock location apps in order to fake their locations and game the system. Ironically, mock location apps were created by developers as a tool to test location features. What started off as a solution for app developers has now become a widespread problem for them. We ended up creating a monster!
Expanding the ways in which developers can interact with our APIs is important for us and something we take seriously. When we began discussing with the EU’s GSA about our inclusion in the Galileo Hackathon, we knew that a new feature needed to be added to our API: raw location values.
Hackathons are a great opportunity for creative juices to run wild and for the next innovation to be born. Over a short period of time, usually 24-28 hours, participants are tasked with using a variety of technology and services, and fueled by pizza, energy drinks, and excitement, to create something amazing.