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iOS Social Networking App

Optimizes UI operations through parallel threads, employs an ML-driven activity stream


iOS social networking app


Media and Entertainment

Engagement model

Fixed Price



  • Xamarin Developers
  • Back-end Developers
  • Front-end Developer
  • Business Analyst
  • QA Lead
  • QA Engineer
  • Project Manager


Case Highlights

  • Optimizes UI operations through parallel threads
  • Employs an ML-driven activity stream
  • Integrated with Facebook for user authentication

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Margarita Account Manager


The client came to Softeq with an idea of a service, which started as a playful social experiment.

Each member of the experiment would have their own "IOU currency", which they could exchange and redeem for favors within the community. The client required a mobile app to keep track and manage each memberโ€™s personal currency.


Solution Features

Softeq delivered an iOS app, admin panel with a backend, and a landing page. The solution has the following features:

  • Posting and accepting favors
  • Following friends to view, like, share and comment on their favors
  • Creating a personal currency and using it as a digital IOU for favors
  • Tracking the collected currencies from completed favors
  • Viewing and comparing currency performance
  • Cashing out currencies in a virtual wallet for future use in the network
  • Using the Admin Panel the system administrator can block inappropriate or abusive users and view transactions statistics

Technological Facilitators

To make the UI smooth and responsive, the team employed Texture, an iOS framework built on top of UIKit. The framework does moving image decoding, text sizing, rendering, and other functions, off the main thread. This keeps the thread available to respond to user interaction. Ultimately, this helps optimize the time for executing the entire layout and drawing code.

The app also relies on GetStream.io, an API for building an engaging activity stream, which loads fast, facilitates content discovery, and ensures that users see relevant and current content. The APIโ€™s personalization technology leverages machine learning to improve the feed, based on user engagement.


The app is integrated with Facebook and employs the platform enabled user authentication mechanism.


Project Outcomes

The resulting solution, consisting of an iOS app, admin panel, and a landing page, was delivered on budget and on time. The customer decided to extend the app with an Android version.