Apple Rejected My App for Using Google Sign-In

I created an app named Sightings which is a companion app for Pokemon go where users can report sightings of monsters and those nearby would be able to see them or get notifications if the app is running in the background.I submitted an update which was rejected by Apple because I used Google Sign-In. I thought it was the obvious choice for authentication methods since all Pokemon GO users will have one and it didn’t violate an app guidelines so I responded using the resolution center.

I got a call today from Apple and try as I might I could not convince them that my using Google Sign-In does not link to Niantic or the Pokemon Company and you don’t need to use the same account you use for Pokemon GO or even have a Pokemon GO account to use my app. They said if I switch to Facebook login or created my own that would fix the problem.

The token I get from Google when a user signs-in does not allow me to connect to Niantic’s API even if I wanted to but this was lost on the app reviewer.

I submitted an appeal to the review board and will post an update once its complete.

Turn Your AMP Up To 11: Everything You Need To Know About Google’s Accelerated Mobile Pages

Will other search engines direct mobile traffic to AMP articles? (Perhaps not search engines that want to do business with Apple.) Will social networking apps preload AMP documents when users post links to articles, in order to make rendering nearly instantaneous? (Probably not Facebook.) Will mobile browsers start looking for link tags with amphtmlrelationships? (Chrome, maybe, but probably not mobile Safari.) And will aggregators and news readers out there build specifically for lightning-fast AMP content? (Time to resurrect Google Reader!)

TensorFlow is an Open Source Software Library for Machine Intelligence

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.