N=1 experiment tracker for supplement stackers

What to build

A cross-platform (iOS + Android) self-experimentation tracker for supplement users and biohackers with large stacks: log supplements, meds, and habits daily, then correlate them against outputs like energy, sleep, mood, and focus, with confidence levels that scale with sample size.

Supplement stackers and biohackers currently track intake and outcomes in memory, notes, or spreadsheets with no way to see which inputs actually move the needle; a founder is already live-testing an iOS-only version, signaling the gap is real but the cross-platform, multi-variable version is still unbuilt.

Demand

Biohackers and heavy supplement users (often 10+ items in a daily stack) want to know what's actually working, and are recruiting their own beta testers right now because no existing tool lets them correlate multi-variable inputs against subjective health outputs.

• Reddit - r/SideProjectRecruitment post

  Founder's post: "Looking for 40 iPhone testers with large supplement stacks to try and break my tracker app. I started building Thryever becau[se]..." — active recruitment for a beta of a supplement/outcome tracking app.

• Signal titleRecruitment post

  Founder publicly asking for 40 iPhone testers with large supplement stacks to try to break their tracker app, indicating an active beta-testing recruitment phase.

• Signal opportunity descriptionAnalysis

  Described gap: supplement/biohacker users currently rely on memory, notes, or spreadsheets to correlate inputs (supplements, meds, habits) with outputs (energy, sleep, mood, focus); existing apps lack Android support, limited health data sync (sleep-only), and no multi-variable experiment design.

Stack

• React Native + Expo
• Supabase
• Apple HealthKit
• Android Health Connect
• Victory Native / Recharts for correlation charts
• Expo Notifications for daily logging reminders

Solo + AI difficulty

Daily logging UI, streaks, and basic charts are easy to scaffold with AI codegen; the hard parts are wiring HealthKit and Health Connect reliably across both platforms and building a correlation/confidence engine that doesn't overstate certainty from small-N self-reported data. Rough time-to-MVP for one person with AI assistance: 4-6 weeks for a cross-platform logging + basic-correlation version, longer if deep health-data sync is in scope.

Entry threshold

Buildable solo with AI in weeks: a mobile app with manual check-ins, barcode/OCR bottle scanning, basic correlation stats and a health-data integration; no licences or capital needed, but the correlation-tracking niche already has a few established players.

Window

6-12 months

Where to find first users

• r/QuantifiedSelf
• r/Biohackers
• r/Nootropics
• Product Hunt launch
• r/SideProject (where the original founder is already recruiting testers)

Competitors

• Bearable
• Exist.io

Counter-signals & risks

• iOS-only beta testing pool may not validate demand or usability for the broader (and likely larger) Android user base, delaying a key differentiator.

• Self-reported correlation data from supplement stacking has weak scientific rigor (confounding variables, placebo effects, small N), limiting the credibility of 'confidence level' outputs.

• Niche biohacker/quantified-self market may be too small to sustain a standalone app business versus becoming a feature of larger health platforms (Apple Health, Oura, Whoop).