SveZna: Social Network
Case Study
The founder and investor of SveZna startup came to us with a need for a partner that will help him with RnD from scratch. We had to discover the market, research and find needed business and technology solutions and develop the web and native applications.
Our Client
SveZna is a startup with a vision of creating a social network where people will help each other by giving advice in fields they are specialised in, and get benefits in return.
What Does It Look Like?
Together with our partners at Hominid Studio, we designed a sleek, modern UI that works seamlessly on any device. It’s simple, user-friendly, and provides all the insights the user needs.
The Tech Stack
Frontend
The frontend is powered by Next.js, ensuring a fast, scalable, and SEO-friendly user experience. We also implemented Progressive Web App (PWA) technology, making the application easily accessible and highly performant on mobile devices, even in low-connectivity environments.
Backend
The backend is developed using .NET, providing a reliable and scalable foundation for handling server-side logic. We utilized Sockets to enable real-time communication for chat and notifications, ensuring instant updates and engagement for users.
Database
For data management, we used PostgreSQL, a powerful and flexible relational database that ensures secure and efficient storage of data for the application.
Hosting & Infrastructure
The application is hosted on Hetzner's dedicated servers, providing high performance and reliability. We use Docker for containerization, ensuring consistency across environments, and GitLab CI/CD for streamlined deployment and continuous integration, improving development efficiency and reducing the time between code changes and production.
Problem
Researching the market and creating a model that will work and which will give most benefit to its users. Requirements, set after having all the needed information, were to create an app that will work on the web but also as native on IOS and Android.
Solution
We built a web application that allows users to ask for advice from an advisor of their choice or from all advisors in a given category, like auction. Users can grow their reputation by being rated by other users, and earn Tokens they can spend in-app shop. Our goal was a system where every user is encouraged to become an advisor and help other users as well.
Conclusion
We managed to do RnD inside clients’ budget and helped a lot with making a product-market fit.
