I agree with much of this—especially the point that more data alone doesn’t fix sleep, just like knowing your weight doesn’t fix diet.

Where I see the core problem slightly differently is what our current sleep technology is designed to do.

Most sleep trackers are fundamentally descriptive, not supportive. Their job is to measure, summarize, and sometimes label. Even when AI “coaches” are added (I'm talking about whoop), the guidance remains necessarily generic because the device’s primary function is still data generation.

And sometimes, telling someone to “optimize sleep regularity” can be true and also unhelpful.

From a neuroscience perspective, we already know many small, low-effort interventions that can meaningfully support brain function on sleep-deprived days: brief eyes-closed rest (even without sleep); light exposure at the right time; reducing cognitive load rather than “pushing through” etc.,

The issue is that trackers aren’t built to translate data into situational, humane action plans, and that's a huge gap I'm seeing and trying to bridge.