Jarwex: AI Sports Analytics

Jarwex is a subscription-based SaaS platform that turns sports data into insight with artificial intelligence. It brings live match data, AI-powered predictions and detailed statistics dashboards together in a single interface. Built with Next.js, Python FastAPI and PostgreSQL, the platform today serves more than 1000 active users.

About the Project

Sports analytics is the work of turning raw scores and statistics into information people can act on. Jarwex meets this need in three layers: live data streaming in from matches, an AI prediction engine that processes that data, and statistics dashboards that make the results readable. Users can follow the course of a match in real time, view the predictions generated by the AI, and examine past performance through detailed tables.

The platform runs on a subscription model. This gives users uninterrupted access to regularly updated data and predictions, while establishing a sustainable structure that funds the continuous development of the product. As a multi-user SaaS product, Jarwex is designed to carry concurrent data streams and heavy query loads reliably for more than 1000 active users.

Key Features

• Live match data: Data from ongoing matches is delivered to the platform in real time. Users follow scores and in-match developments as they happen and can analyze a match without waiting for the final result.
• AI predictions: AI models process match data to generate predictions for matches. The predictions give users a perspective grounded in data rather than intuition, and can be evaluated alongside the live match data.
• Detailed statistics dashboards: Match and performance statistics are presented in dashboards that make comparison easy. Users reach the metrics they care about quickly and read trends visually.
• Subscription model: The platform operates on a subscription-based revenue model. For the duration of their subscription, users have uninterrupted access to current data, predictions and statistics dashboards.
• Scalable SaaS infrastructure: Serving more than 1000 active users, the platform is built to grow with its user base and data volume.

Technology & Architecture

Jarwex is built on a modern web architecture with a clear separation between frontend and backend responsibilities. Each layer was chosen to carry its own load independently.

• Frontend (Next.js): The user interface is built with Next.js. Server-side rendering and a component-based structure let statistics dashboards load quickly, keep live data updating smoothly, and keep pages accessible to search engines.
• Backend (Python FastAPI): Data processing, prediction generation and the API layer are written in Python FastAPI. FastAPI’s asynchronous design is well suited to handling concurrent live-data requests with low latency, and the Python ecosystem makes it straightforward to run AI models inside the same service.
• Database (PostgreSQL): Data such as match records, statistics and user accounts is stored in PostgreSQL. The relational structure reliably supports complex statistical queries and historical data analysis.
• SaaS architecture: The platform runs as a multi-user SaaS product with subscription-based access. Because the frontend, API and database layers are separate, each can be scaled independently as the number of users grows.

Screenshots

Website: jarwex.com