Wearables measure strain, recovery, and sleep to tell you what's happening in your body. InnerHue measures mood, language, and behavior to tell you what's happening in your mind.
Journaling is the input mechanism, not the point. Every entry you write becomes a data point. Over time, those data points become metrics, and those metrics become a picture of your own mind that is far more precise than memory alone.
InnerHue is built around logging moments as they happen, not sitting down at the end of the day trying to reconstruct it from memory. Opening the app and speaking or typing a quick entry takes about ten seconds, so it's realistic to log multiple times a day as your mood shifts, rather than once. The value compounds from there: the system accumulates enough data to surface trends a single entry never could. This is the same principle behind any longitudinal tracking system: one data point tells you almost nothing. Fifty data points, logged in the moment rather than reconstructed later, tell you who you actually are.
A traditional journal is unstructured, and it usually only gets written once a day, if that. It captures what happened, but not what it means in aggregate, and it relies on memory holding up until you sit down to write. InnerHue is built the other way around: every entry, however small, is structured data from the moment it's logged, mood, tags, and text, so that the system can compute trends automatically instead of leaving pattern recognition entirely to memory.
InnerHue is not a diagnostic or medical tool. It does not replace a clinician, and it does not claim clinical accuracy. It is a personal tracking system, built for people who want a more precise, more honest picture of their own patterns over time. See our Terms of Service for the full scope of what the Service does and does not do.
InnerHue is in early deployment. Core tracking, mood history, reflections, natal chart, and Huey are all live. The Learn tab hosts a reading series — verified ideas from psychology, neuroscience, and behaviour science, each one filtered through the InnerHue lens. Additional features are in development, along with expanded controls for reviewing and exporting your own data.