forBET

To minimize the server load in chat, we used GraphQL technology. It also helped us reduce the amount of data transmitted between the app and a server.

Frequent usage of shimmer animations allowed us to reduce the amount of downloaded data. We only send the information that the user is supposed to see at the moment. For example, all the information about the offer takes up over 2MB of text data. By adjusting data transfer in the right way, we reduced this quantity by 20 times without noticeable loss for users.

To give users a possibility to quickly find the info they’re interested in, we’ve added a filtering option, so they could search the events by date, country, and sports discipline at once. This way forBET became the first sports betting app in Poland with such functionality.

This solution speeds up the performance of the app and reduces the server load during the games. In-depth API analysis enabled us to identify strategical end-points and also state data lifetime precisely. This way we could reduce the number of requests which directly speeds up the performance.

We wanted users to check the current scores any time they want. That’s the reason why we’ve decided to use the Statscore database. It enabled us to show the information in real-time, so users can always be up to date.

We’ve implemented advanced analytic tools. Collected data made it possible to accurately define key product values. This helped us create solutions that directly increase sales records.

Long-term maintenance forced us to try out many out-of-the-box solutions. For example, for the global code refactoring, we’ve created scripts that use syntax analysis of the Kotlin language (AST generator).

During the pandemic, forBET has decided to support e-sports, so we’ve added a new option to the app – live streaming of the selected events. To make this possible, it was essential to integrate the app with Twitch and YouTube platforms.