Innovating social networking: Union's real-life connection platform
social tech
About this project
We helped develop Union infrastructure, including a React app for staff, an Android app for members, and a flexible API. A key challenge was optimizing the system to quickly and accurately assess social connections using AI/NLP models.
Region
United States of America
scope
Region
United States of America
Project team
7 Developers
1 QA Tester
1 Project Manager
Tech stack
AWS
HTML5
React
iOS
JavaScript
Android
About Union Member House
Union is a developing startup based in Durham, NC, with a mission to harness computer technology to foster meaningful real-life connections among people. They have launched a couple of members-only clubs that encapsulate this vision. Known as “the social network that is really social,” Union member clubs deliver an unparalleled experience to their members, driven by innovative technology.
The challenge
“Montrose made a great addition to our team with a robust skillset, demonstrated experience and a communication style that made them feel tightly integrated. I would work with them again in a heartbeat.”
Said by Sam Broe, the founder ★5 review.
He delivered the Union mobile app with our team. How can we help you?
Development process
Infrastructure and app development
The development process for Union's platform began with establishing a robust infrastructure to support their technology-driven social clubs. We initially created a React app for staff to manage member connections, ensuring it aligned with Union's vision. Simultaneously, we developed an intuitive Android app for members to handle all club interactions, focusing on user experience and reliability.
API and backend development
In collaboration with Union's backend architect, we developed a scalable API using Node.js, deploying it as serverless Lambdas to create a flexible microservice infrastructure. This backend development emphasized scalability and performance to support dynamic user interactions and data processing.
Iterative improvement and optimization
Over nearly two years, we iteratively added new features, improved existing functionalities, and performed maintenance. A key focus was optimizing the AI-driven engine for real-time social connection evaluations, employing innovative data processing strategies to ensure scalability and responsiveness.
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