
Charts Prototypes
Concentric Analytics Prototype is a multi-tenant analytics dashboard built as an assignment for Infinite Locus, showcasing modern web development practices with Next.js and TypeScript. It features multi-tenant routing, seamless localization powered by intlayer, static data visualizations, and a polished login page. The project demonstrates a clean, scalable architecture suited for real-world analytics applications.
Concentric Analytics Prototype is a full-featured analytics dashboard components developed as a technical assignment for Infinite Locus. Built with Next.js and TypeScript, the project serves as a proof-of-concept for a scalable, multi-tenant analytics platform — demonstrating how modern web technologies can be combined to deliver a clean, production-ready user experience.
Key Features
- Multi-tenant routing: The application supports isolated routing per tenant, enabling a single deployment to serve multiple organizations with distinct data contexts and URL namespaces.
- Localization with intlayer: Internationalization is handled via intlayer, providing a structured, type-safe approach to managing translations and locale-aware content across the dashboard.
- Static charts: The dashboard includes pre-rendered data visualizations that illustrate key analytics metrics, offering a clear and immediate overview of business performance.
- Login page: A dedicated authentication entry point provides a polished, user-friendly login experience consistent with the overall design language of the application.
Tech Stack
The prototype is built on Next.js, leveraging its App Router for flexible, file-based routing and server-side rendering capabilities. TypeScript is used throughout the codebase to enforce type safety and improve developer experience, while intlayer handles all localization concerns in a structured, maintainable way.
Overall, Concentric Analytics Prototype reflects a commitment to clean architecture, developer ergonomics, and a thoughtful user experience — making it a strong foundation for a production analytics product.
