Developer shares key engineering lessons from building a football data API

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A developer building PredictIQ Pro, a football data and prediction platform, has shared insights from the experience of creating a production-ready sports API. The project revealed that the core challenges lie not in writing endpoints but in designing fast, reliable, and scalable systems. Key lessons included the importance of separating data into distinct entities, implementing caching and indexing for speed, and using WebSockets for real-time match updates instead of traditional REST polling. The developer also emphasized that clear documentation is critical, as it shapes how other developers perceive and adopt an API. Future plans for the platform include public SDKs for JavaScript and Python, real-time WebSocket feeds, and self-hosted PostgreSQL infrastructure.

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