Fitness Dashboard: Real-Time Health Analytics

The Challenge

WHOOP exposes rich biometric streams, but turning that raw telemetry into actionable insights requires resilient ingestion, smart caching, and compelling visualization. I wanted a single pane of glass that captured training load, recovery, and workout patterns in one experience.

Technical Architecture

• WHOOP API ingestion via authenticated collectors pushing to TimescaleDB with automatic backfills.
• Strava webhooks keep activities synchronized without polling and trigger enrichment jobs.
• PostgreSQL + TimescaleDB for hypertables, retention policies, and downsampled materialized views.
• Next.js 14 Server Components streaming analytics to interactive charts with ISR refresh every 6 hours.

Key Challenges Solved

Built adaptive rate limiting to respect WHOOP quotas, created reconciliation jobs for data drift, and designed a correlation pipeline mapping previous-day strain to recovery. The result is a dashboard that stays fresh without manual refreshes and highlights the metrics that actually move training decisions.