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AI Sports Analytics MVP Hits 12K Users in 3 Weeks

AI Sports Analytics MVP Hits 12K Users in 3 Weeks

SpeedMVPs built a Next.js web platform backed by a FastAPI ingestion service that consumed live SportRadar feeds via WebSocket, normalised raw event streams into a PostgreSQL + TimescaleDB schema, and served sub-200ms queries to the frontend. A fine-tuned GPT-4o layer generated plain-English tactical summaries and halftime predictions, with pgvector enabling semantic search across 3 seasons of historical match data. The entire stack was deployed on Vercel (frontend) and Railway (API + DB) with a configurable white-label embed for broadcast partners.

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Sports / Media
Industry
3 Weeks
Timeline
Key results: AI Sports Analytics MVP Hits 12K Users in 3 Weeks

Project Overview

1

What We Built

  • SpeedMVPs built a Next.js web platform backed by a FastAPI ingestion service that consumed live SportRadar feeds via WebSocket, normalised raw event streams into a PostgreSQL + TimescaleDB schema, and served sub-200ms queries to the frontend. A fine-tuned GPT-4o layer generated plain-English tactical summaries and halftime predictions, with pgvector enabling semantic search across 3 seasons of historical match data. The entire stack was deployed on Vercel (frontend) and Railway (API + DB) with a configurable white-label embed for broadcast partners.
2

The Challenge

  • StatEdge Media had secured broadcast partnerships for the upcoming football season but lacked a working data product to fulfil them. Their internal team had spent four months prototyping a stats dashboard that still couldn't ingest live feeds reliably, and their launch window was six weeks away. They needed real-time player tracking data, AI-generated match insights, and predictive win-probability models, all in a single embeddable platform, without blowing their Series A runway.
3

Our Solution

  • Real-time WebSocket ingestion from SportRadar with auto-reconnect and event deduplication
  • AI match-insight engine generating plain-English tactical summaries every 5 minutes of play
  • Win-probability model (logistic regression + GPT-4o narrative) updating on every key event
  • Semantic historical search across 3 seasons using pgvector embeddings, 'find matches like this one'
  • White-label embed SDK allowing broadcast partners to drop the dashboard into their own sites in under 30 minutes

Ready to Build Your MVP?

Schedule a complimentary strategy session. Transform your concept into a market-ready MVP within 2-3 weeks. Partner with us to accelerate your product launch and scale your startup globally.

The call is 30 minutes with Diyanshu Patel, our CEO and co-founder. Afterwards you get a written proposal with timeline, pricing and development plan.

Calendar not loading? Open the booking page or email diyanshu@speedmvps.com.