How Scoring AI Built Real-Time Sports Updates Using WebSockets and DynamoDB Streams

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Two developers built Scoring AI, a voice-enabled sports scoring app that syncs scoreboards across courtside tablets, phones, and wall displays in real time. The system uses DynamoDB for live match state with optimistic locking to handle high-frequency score updates, while PostgreSQL manages user profiles, payments, and match archives. DynamoDB Streams connect the two databases, triggering Lambda functions that broadcast score changes to spectators via WebSockets and archive completed matches to PostgreSQL. To eliminate UI lag, the scoring logic runs entirely on the frontend as a TypeScript module, calculating new state locally without any API calls. The architecture supports multiple sports formats including tennis, pickleball, rally, and sideout scoring.

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