N=Me: Self-Tracking Insights

N=Me: Self-Tracking Insights

Mood, sleep & health patterns

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About

Some days you feel off: tired, anxious, not yourself. And you blame yourself for it. But your body often knew first. N=Me is a private, local-first tool for understanding your own patterns. You track how you feel; it connects that to what your body is actually doing (sleep, HRV, resting heart rate, recovery) and surfaces the connections that hold true for you, not for some population average. WHAT YOU CAN DO • Track anything that matters: mood, anxiety, energy, caffeine, sleep, habits, your way • Auto-import 25+ metrics from Apple Health, plus weather and environment • Spot trends and correlations across everything you log • Run your own experiments in Lab: test whether a habit actually changes how you feel, with real effect sizes and evidence strength BUILT TO RESPECT YOU • Your data stays on your device. No account required. • Optional iCloud sync, fully under your control. • No scores against strangers. No telling you how you feel. You name your states, and N=Me just helps you see the patterns. Recognize yourself. Terms of Use: https://nora-unfound.github.io/nme-legal/terms.html Privacy Policy: https://nora-unfound.github.io/nme-legal/privacy.html
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What's New in N=Me

1.1.3

July 12, 2026

- Improved correlation analysis for boolean data with Phi φ, Yes/No axes, and contingency matrix views. - Added clearer reasons when correlations cannot be calculated, such as insufficient data, low overlap, or no value variation. - Added clearer localized error messages for Health and environment data imports. - Improved weather, air quality, and location import reliability with timeouts and better permission/network error handling. - Refined boolean records in test data so sample experiments and correlation results are more complete.

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N=Me Premium Monthly

Unlock correlation analysis, Lab investigations.

$4.991 Month
7 Days trial
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