Omran Jamal

When hooked up to Machine Learning models built in python, Puppeteer allows us to automate any off the shelf, cheap router to become smart and provide safety for our hosts.

We chose Laravel and PHP over any other stack on our API backend simply because of how productive we can be with the Laravel framework compared to any other.

One thing we often overlook while evaluating PHP is how resilient it is to faults in our programming, and how easily scalable it is horizontally out of the box with almost no forethough.

On our backend we found that typesafety in a language goes a long way to catch many of the common bugs before they happen. It has also made all of us overall better JavaScript developers.

We actually did use Java to build our client app for a very long time, until one of us decided to try out Kotlin and was blown away by how elegant and productive the Kotlin language is.

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

While Redux may be the industry defacto, our team's OO driven minds find it comfortable to reason about in MobX (mobx-state-tree to be exact). It's a much more magical and painless experience compared to Redux.

We actually initially wrote a lot of networking code in Kotlin but the complexities involved prompted us to try and compile NodeJS for Android and port over all the networking logic to Node and communicate with node over the Java Native Interface.

This turned out to be a great decision considering our battery usage fell by 40% and rate of development increased by a factor of 2.

The Geospatial features are the easiest to get up and running and easiest to scale beyond single servers. On top of that NoSQL allows us to iterate features at the speed of light. MongoDB

Large swaths of resources built for python to achieve natural language processing. (We are in the process of deprecating the services written in python and porting them over to Javascript and node) Python

We, our team can sleep comfortable at night know "x is undefined" will not occur in production. It's also really helpful as IDE help in code completion when they know types. TypeScript