Comment by cookingmyserver

Honestly, none of those sound like blockers for the use case I and many other diabetics would like - monitoring for general blood sugar responses (rough curve) after eating. Sure, you wouldn't be able to use the measurements to dose insulin or even measure your actual (numeric) glucose level, but measuring my A1C every three months is good enough to do that in mine and many other cases. I've had my blood sugar controlled through diet and metformin with it being in the range of 5.9 - 6.2. I could do so much better if I had a better understanding of how my body, specifically, reacts to certain foods, mealtimes, routines (exercise after eating), etc.

It would be super helpful to know (relative to other foods) how my body reacts to claimed low-carb foods. Is there a large spike (don't need to know the number) or is it a much more flat curve? How long in general does it take for the line to return to pre-meal levels? What does that trend look like over many months? Heck, I could even run a rudimentary and simple test to do comparative insulin response to a known amount of carbs to see if my insulin response is improving over time (using the period of the curve). I would love to get an alert that hey, we think your glucose level shot up a lot (don't care how much) so that I can remediate it through exercise then and there and avoid that food or timing going forward.

Really hoping the people in Medtech don't make perfect the enemy of good in this case. Although maybe what you listed would still be blockers for even getting general glucose curves. I've been planning on getting a CGM for at least a few months to achieve all of this, but it would be great to just have it in a watch or other simple wearable.