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Sarvita – AI coach that tracks and reverses your biological age

Sarvita – AI coach that tracks and reverses your biological age

by fodoj·Feb 23, 2026·4 points·0 comments

AI Analysis

●●SolidSolve My ProblemNiche Gem

Bridges Apple Health data gaps with VO2/HRV age tracking and zone-based training.

Strengths
  • Converts inert Apple Health metrics into three specific biological ages with research backing
  • On-device health data processing with ephemeral API calls for coaching privacy
  • Syncs seamlessly with existing iPhone workflows via HealthKit, no manual logging friction
Weaknesses
  • Longevity fitness coaching via AI is crowded (Tempo, Superhuman, Apple Fitness+); unclear differentiation beyond biological age display
  • Requires iPhone with Apple Health; Android users locked out despite identical health metrics being available
Category
Target Audience

iPhone users tracking fitness and longevity metrics

Similar To

Apple Fitness+ · Superhuman · Oura Ring

Post Description

Hi HN,

I built Sarvita because I wanted to answer one question: am I getting biologically younger?

Apple Health already collects VO2 Max estimates, HRV, body composition, workout logs, and sleep data. But it doesn't synthesize this into anything actionable. Sarvita pulls this data and calculates three component ages — VO2 Max Age, HRV Age, and Body Composition Age — using age-percentile reference tables from population studies.

The AI coach then delivers weekly training plans based on the 4 exercise modalities with the strongest mortality-reduction evidence: Zone 2 cardio (mitochondrial biogenesis), strength training (sarcopenia prevention), VO2 Max intervals (the single strongest predictor of all-cause mortality per JAMA 2018), and stability work (fall prevention).

Technical notes: - iOS native, Swift/SwiftUI - Health data stays on-device. The AI coaching queries are processed via API and immediately discarded — no persistence of health data on my servers - Sync through the user's own iCloud account - Meal tracking uses vision AI — photo → macro estimation in seconds - Biological age calculation weights VO2 Max most heavily (~40%), reflecting the research on mortality prediction

The longevity science framework comes primarily from Attia's synthesis in Outlive, but the underlying research (Mandsager 2018, PURE study, Cochrane fall-prevention reviews) is independently solid.

Free to try: https://apps.apple.com/us/app/longevity-tracker-dont-die/id6...

I'm a solo dev. Feedback on the approach, the science, or the product is very welcome.

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