HydraIQ
A hydration app that turns daily intake into a score and actionable recommendations - with WHOOP data to personalize targets.
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Summary
HydraIQ focuses on one thing: better hydration. Log drinks throughout the day, see your progress toward a personalized target, and get clear prompts that make it easy to stay on track. Your daily score reflects how consistently you hydrate over the day, not just whether you hit a single total.
- Daily Hydration Score that rewards steady intake
- Fast intake log with common sizes and quick-add buttons
- Insights feed that suggests what to do next (e.g., "Drink 12 oz now")
- Trends and streaks to reinforce consistency
Data & Integrations
HydraIQ integrates WHOOP metrics (sleep, strain, recovery) to adjust daily hydration targets. On harder training days or short sleep, HydraIQ nudges the target up. On light days, it dials it back - keeping guidance practical instead of one-size-fits-all.
- WHOOP: sleep duration/consistency and strain inform target adjustments
- Target changes are smoothed so they don't swing too much day-to-day
- Privacy-first: only the minimum metrics are fetched and stored
Problem -> Insight -> Action
- Problem: Wearable data is rich but overwhelming and hard to translate into daily decisions.
- Insight: Hydration, recovery, and training load interact in non-linear ways; small changes compound.
- Action: HydraIQ simplifies these signals into a daily target, score, and next-step recommendations.
WHOOP alignment
Designed with WHOOP-style recovery, strain, and behavioral data in mind. HydraIQ does not try to replace WHOOP; it complements the model by translating those metrics into clear hydration decisions and lightweight trends.
How it works
- Set a baseline target (or use the suggested one)
- WHOOP data adjusts that target for today
- Log drinks; the score rewards steady intake across the day
- Insights recommend the next small step to stay on track
Tech stack
- Next.js + React + TypeScript
- Vercel for hosting
- WHOOP API integration
What I'd build next
- Correlation analysis between hydration, recovery, and strain
- Athlete-specific vs general population views
- Longitudinal trend detection vs daily noise