[ Removed by Reddit ]
[ Removed by Reddit on account of violating the content policy. ]
[ Removed by Reddit on account of violating the content policy. ]
[ Removed by Reddit on account of violating the content policy. ]
Something I keep running into with wearables: I've got years of heart rate, HRV, and sleep data sitting in an app — and yet every morning it greets me like a stranger.
A score, a color, maybe a signal that "you slept poorly." But it doesn't remember the week I was sick, the stretch where work was brutal, or that I always run hot before a stressful day.
It tracks what happened. It never builds a model for me.
That gap feels like the next real problem to solve.
Most smart ring today is still basically a one-shot tool: you wonder know something → it answers → it forgets.
But the data a ring collects isn't a single prompt. It's a continuous stream: physiology, behavior, environment, routine. In theory that's enough to build something closer to a personal world model — a picture of you that evolves over time and gets the context right without you having to explain yourself.
Genuinely curious where people land on this: If your wearable device could learn one thing about you over time, what should it learn first? Your habit of drinking coffee before work? The time slot that you usually go out for exercise? Or something else...
Interested in how this community thinks about it.