Case studies

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Featured case study

Frontend Engineer

Iris: High-Performance Social Platform for Scientists

Iris is a full-scale social platform designed for scientists to connect, collaborate, and share research. The platform required a modern, high-performance frontend capable of handling complex data interactions while maintaining a smooth user experience.

40%

Performance Improvement

52 → 89

Lighthouse Score

-35% API Calls

API Efficiency

The problem
The existing platform struggled with performance and scalability issues that directly impacted usability. Pages were slow to load, interactions felt delayed, and the overall experience lacked responsiveness. A major contributing factor was the inefficiency of backend APIs, which were not optimized for frontend consumption. Additionally, the platform had weak SEO foundations, limiting its visibility, and the outdated user interface made it harder for users to navigate and engage effectively.
The solution
A new frontend was developed using Next.js, enabling improved rendering strategies and better performance. The UI was redesigned with a modern approach to enhance clarity and usability across the platform. API integration was carefully optimized to handle inefficient endpoints more effectively, reducing delays and improving data consistency. The application structure was also refined to support better SEO practices, ensuring that content could be indexed and discovered more easily.
Results
The platform experienced a significant improvement in performance, with faster load times and smoother user interactions. The redesigned interface made navigation more intuitive, leading to a better overall user experience. Additionally, the improved structure contributed to stronger search engine visibility, while the new frontend architecture provided a more stable and scalable foundation for future development.
Iris social platform interface showing scientific community interactions

Client

Confidential

Duration

6 weeks

Type

Web Application

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