Tensly 1.4 makes daily monitoring more reliable and transparent. • Builds a usable baseline from available HealthKit history and keeps adapting over time • Avoids showing a confident state when recent wearable evidence is insufficient • Improves stress-load scoring, recovery detection, and background HealthKit refreshes • Restores monitoring more smoothly for people updating from an earlier version • Adds clearer Health permission recovery and optional HRV-building reminders • Refines the breathing experience, dashboard layout, and iPhone and Apple Watch visuals • Improves notification, subscription, and local-data recovery reliability

Fix the bugs

Bug fixes and general improvements

A significant update to how Tensly looks, feels, and works. NEW DESIGN The dashboard is completely redesigned. Cleaner, calmer, more focused. Your state — Good, Busy, Stressed, or Overwhelmed — is now the first thing you see. Everything else is one tap away in a detail sheet below. A new living visual at the center of the screen changes color and moves organically with your nervous system state. No numbers. No rings. Just something you can feel. GUIDED BREATHING SESSION When you're stressed, a full-screen breathing session opens with a choice of technique matched to your current state. The session plays ambient music, guides your breath with a visual pacer, and ends only when your HRV actually improves — confirmed by your Apple Watch, not a timer. Completed sessions are saved to Apple Health as Mindful Minutes. SLEEP CONTEXT Your sleep from last night now appears alongside your current state, so you can understand why your system is where it is today. NEW STATE NAMES Your nervous system state is now described in plain language: Good, Busy, Stressed, Overwhelmed. No clinical terms. No jargon. DETAIL SHEET Tap "More info" to see your full picture — recovery and pulse direction, today's state timeline, sleep stages, weekly pattern, your personal HRV baseline range, and Apple Watch connection status. PERFORMANCE Improved background processing, more accurate state detection, and better handling of activity and sleep data.