It does seem possible to use continuous glucose monitors for this purpose. By way of background, CGMs are used by diabetics, and are only just starting to be used by non-diabetics. You are basically putting a patch with a very small flexible needle onto your arm for two weeks. The needle goes just under your skin. It measures glucose in the interstitial fluid.
I think that at least some pro roadies are using them off the bike. For better or worse, the UCI banned their use in UCI-regulated competition (meaning that this doesn't apply to amateur athletes unless your federation says so). This includes having one attached but not transmitting. I'm not sure how well integrated they are with head unit software, e.g. how many CGM wireless protocols exist, have Wahoo and Garmin implemented the fields in their computers, etc.
The cost relative to the alternatives is the main downside. The patches are single-use, last a couple weeks, and are rather costly. For amateurs, you could simply eat on a schedule. If you pay attention to your body, it is possible for many people to get at least some sense that they may be close to bonking. I should have been more explicit in the other question: you would simply eat and drink on schedule. Many head units can be programmed to send custom alerts on a timer, e.g. here are the Wahoo instructions. Pro road racers have their nutrition schedules printed and taped to their stems. As an amateur, you can aim for 30g per hour and see if that does it for you. I think 30g is sufficient for a lot of group rides, 60g is both achievable and should cover even more use cases. It is possible to hit or exceed 90g per hour with some planning (mainly relying on drinks), but that's probably not necessary for all training or racing scenarios.
In addition, I don't know how much of a learning curve exists for amateurs interpreting CGM data. For example, glucose under 72mg/dl is considered hypoglycemic in the medical setting. Is that the correct threshold in a sports setting to detect impending bonks? Does your own personal threshold vary significantly from the average? Are the data noisy and it's hard to see trends? Basically, too much data can be a curse - you might wind up ignoring the data, or if you have only some idea how to interpret and use it, you might wind up misusing it.