Lean canvas
1. Problem
- I struggle maintaining fitness, nutrition, and weight — they're all connected to life stresses.
- History shows a repeating cycle: stress → less fitness → poor nutrition → weight gain.
- Current apps don't predict or prevent these cycles; they just track after the fact.
- Need a personal coach that knows me intimately and provides proactive support.
2. Customer segments
- People who struggle with fitness cycles — recognise stress patterns derailing health.
- Runners seeking personal coaching — want adaptive support, not just data tracking.
- Self-hosting enthusiasts — want control over personal health algorithms.
- Long-term health thinkers — willing to collect 10+ years data for prediction.
3. Unique value proposition (UVP)
"A deeply personal fitness coach that predicts your cycles and speaks in your own voice."
- Proactive intervention before negative cycles start, not reactive tracking after problems occur.
- Transparent cost structure (host it yourself, avoid recurring subs).
- Flexible to grow into nutrition, recovery, and wearables integration.
4. Solution
- Stage 1: Sync running activities (Strava + TrainingPeaks history). Production-ready foundation with splits, thumbnails, CSV export.
- Stage 2: iOS app integrating Apple HealthKit.
- Stage 3: Replace secondary apps (HealthFit, Athlytic, WaterMinder, MyWeight).
- Stage 4: Food tracking for key metrics (calories, sugar).
- Stage 5: Apple Watch app for runs + music capture.
5. Channels
- YouTube dev series (“Too Many Fitness Apps?”).
- GitHub / GitLab repo with full code and logs.
- LinkedIn updates to professional/fitness audiences.
- Word-of-mouth from runners and devs experimenting.
6. Revenue streams
- Primary: None (personal project, free + open source for now).
- Potential: Support services, premium hosting templates, or sponsorship.
7. Cost structure
- See costs & time for ongoing tracking.
8. Key metrics
- Number of activities synced (accuracy + reliability).
- Latency of new activity sync (<30s via webhook).
- DB performance (API <50ms, minimal requests).
- User metrics: daily/weekly active (for later stages).
9. Unfair advantage
- Deep hands-on experience with Kubernetes, GitOps, and AI-assisted coding.
- Personal frustration gives strong founder-market fit.
- Blend of coaching mindset + tech expertise allows unique framing (helping others learn from mistakes).