HydraIQ
A personal performance and insights tool I’m building to help people make better decisions with their data.
Summary
HydraIQ is an experimental personal analytics app that brings together data from daily life—sleep, training, work, and reflection—and turns it into simple, actionable insights. The goal is to give users a clear picture of how their habits stack up over time and which levers actually move their performance. I’m using HydraIQ as a playground for ideas at the intersection of finance-style analytics, sports performance, and health tech.
- Daily scoring system for key habits and behaviors
- Trend charts to visualize consistency over time
- Simple dashboards inspired by WHOOP and other wearables
Science & Research
HydraIQ pulls from research on habit formation and behavior change—ideas like implementation intentions, habit stacking, and feedback loops. It takes cues from sports science and wearables, where consistent tracking of sleep, training load, and recovery can guide better decision-making. It also follows the quantified-self principle: simple, understandable metrics plus regular reflection drive better long-term choices.
- Behavior change frameworks and feedback loops
- Sports science monitoring for performance and recovery
- Quantified-self mindset: track, reflect, adjust
Tech Stack
- Next.js and React for the frontend
- TypeScript for type safety
- Vercel for hosting and deployment
- (Data layer and integrations placeholders)
What I Learned
- Small, consistent metrics beat complex dashboards.
- Clear copy and simple visuals help users act on data.
- Designing for reflection improves adherence and outcomes.
- Scope control is essential when exploring new integrations.