CynCity: unifying wearables, web, and AI health insights

Health data is useless when it stays on the wrist

CynCity connects wearable sensors, mobile apps, and web dashboards so users—and coaches—see fitness, sleep, stress, and recovery in one place.

Full CynCity case study →

Platform surface

| Surface | Tech | |---------|------| | iOS + Apple Watch | SwiftUI, Bluetooth sync, on-wrist telemetry | | Web dashboard | React / Next.js for coaches and power users | | Backend | NestJS, PostgreSQL, real-time ingestion |

AI and analytics layers

Predictive fatigue/stress modeling, sleep efficiency scoring, anomaly detection, personalized wellness plans, breathing exercises, and push notifications—with offline-friendly caching.

Sensor coverage

Heart rate, steps, stress proxies, temperature, sleep stages, workout intensity—synced reliably across wrist, phone, and web.

Build lessons

  1. Ingestion pipelines are the product—UI polish cannot fix dropped packets
  2. Coach-facing web expands TAM beyond consumer-only apps
  3. Predictive alerts must be tunable; false positives erode trust fast

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