As @AJS914 picks up on and what I was trying to get to is that non-diabetic people (I hesitate to use the word healthy as you can still be healthy with diabetes T1) don’t need Supersapiens. @Eddy_Twerckx And diabetic people don’t need any Supersapiens diabetes offering either as existing CGM pumps already provide the data and have the apps needed to keep performance comparable to a person without type 1. I.e. keep your blood sugar above 3.9mmol/l and performance will reflect your fitness and muscular energy availability - not that a blood sugar reading of 7mmol/l is better than a blood sugar reading of 4mmol/l. If you bonk as a healthy person, there is probably no risk to life other than feeling rough. Low blood sugar in a diabetic person risks unconsciousness and death.
So, I think I heard on a podcast that it is yet to be fully understood the link between energy availability and blood sugar level. When it gets mentioned on podcasts, I get the impression that podcast hosts either don’t quite understand the physiology of diabetes or there are a lack of scientific papers to dig into in depth and have a meaningful conversation.
It’s an n=1 or perhaps n=2 sample size with my son and I. Since I know his blood sugar level, so long as within range, doesn’t improve his ability to perform on a session. And also having checked my own blood sugar (as a non-diabetic) with a finger pricker on admittedly random occasions in and around exercise and eating, it seems to linger in the 4.5 - 5 range. That could be whether I’m exercising hard, have just exercised or have recently eaten something carb heavy like a sandwich. So in my case it feels like I could be trying to ram my blood sugar up high for a session and the body will just increase insulin delivery to keep blood sugar in normal range. Or at the point when I’m exercising and insulin isn’t needed to process sugar, then the body still regulates my blood sugar level. So personally I’d be better focussing on decent fuelling before and during, to current established science of what the body (gut) can uptake (e.g. 60 -120g carbs or whatever they keep pushing the boundaries as) rather than looking to see my blood sugar sky rocket. It really feels like it would be more useful to know what the glycogen levels in the muscles are, and the technology to have this information available in real time is perhaps some way off.
Try the Supersapiens by all means, I’m slightly intrigued too (ever in search of some game changing information 
even though I don’t think it will tell me anything of great benefit. But marketing a diabetic product/off shoot, I just don’t think for a T1 diabetic, that it will tell them anything they don’t already know from their existing technology and management of their condition
But the link at the start of this post takes you to “Supersapiens diabetes” so I was seeing this as marketing to diabetics.
I’ll wait until they prove it’s usefulness for non-diabetics and then I’ll be all over it like the sucker I am 
This is a common misconception, and I can certainly understand why - having more sugar in your blood means you have more energy right? It does seem logical, but unfortunately this is not the case.
If your blood sugar is running high (hyperglycemia) that means the sugar is not getting into your cells efficiently for use. In the case of a Type 1 Diabetic, insulin is the “key” to unlocking the muscle cell door to allow sugar into the muscle cell and enable its use for energy. High blood sugar simply means the sugar is concentrated in your blood – but not necessarily your muscle cells. If your blood sugar is too high for too long, your blood will begin to become acidic (a deadly complication for Type 1’s).
I can understand the interest in CGMs for athletes; monitoring your response to different foods before/during/after exercise could potentially help you refine your fueling strategy. However, users of any CGM should keep in mind that the blood sugar is actually being measured via interstitial fluid, and not blood (unless your are pricking your finger, like one of the previous posters mentioned). It takes about 15-20 minutes for a CGM to register changes in interstitial fluid, and only 5-ish for blood. So if you are monitoring your blood sugar during exercise and suck down a gel, keep in mind that there is an inherent difference in timeliness when measuring via interstitial fluid (CGMs) and blood (finger pricks).
Anyone interested in really dialing in their fueling might also consider looking at the glycemic index of foods they are consuming. There are big differences in how your body responds to some of the most common foods.
Team Novo Nordisk (where all of the riders have Type 1) released a documentary not too long ago about how they manage their blood sugar during training and races: https://youtu.be/9M6SSY2GDjc?si=ETxLwghwKmBqUlYP
My concern with this, is that with no proven sporting performance benefit, people start wearing them without the knowledge / training to make sense of the data, wake up 7 times, eat the same amount every time, and you will end up with 7 different measurements, with different graphs and directions, and start altering diets and stop fueling correcly, thinking that going out of range is bad when it’s just how the body works, and people who under fuel are likely to get obsessional about it as pointed out in the video from 35:13 - 38:00
Wasn’t really directing that at you - I’ve heard this a bunch of times before from many different people. Thus, from my shoes it’s a misconception I hear frequently. I hope that makes sense, and certainly didn’t mean to jump to any conclusions about your intent. I don’t have any studies to point to, but I get your question. Wouldn’t be surprised if some good research has been done, however!
My son is Type 1 and has been for years. The literature I’ve read describes exercise as making the body more sensitive to insulin - but not bypassing it. Your body needs insulin to survive…bad things happen without it. I’ve certainly seen this in my son when he’s had an insulin pump site failure (i.e., no insulin going in) and he’s tried to bring his BG down with exercise alone. Never works…just continues to go up until the insulin kicks in. Keep in mind that your body always has some amount of insulin flowing through it, 24/7 (providing you have a properly functioning pancreas, that is!). You just get an extra shot of it when you eat food that contains carbs.
You get used to it, and for a T1 you just learn to finger-prick if you’re out of range to get a more accurate number when needed. The FDA considers CGMs accurate within a certain range, so it’s not terribly uncommon for a CGM to be off by some percentage and still be considered “accurate” (especially if it is going up or down quickly). Not usually a big deal unless you are hypo/hyper.
Agree!
We found it to be really insightful. Having watched a bunch of docs about other teams, it’s a fascinating comparison of what TNN does to perform at the level they do. It definitely helped our son feel like he wasn’t alone, which was also nice.
Please understand I’m not trying to pick a fight with you or argue about any points. Just offering my insight as a parent of a T1 and years of dealing with carbs, blood sugar and CGMs. Happy to share anything that might be of interest to you.
Best.
It’s interesting you mention team novo nordisk. The founder of supersapiens is a type 1 who also happens to be the founder and ceo of novo nordisk.
I hear ya. I’ll admit I’ve been tempted to try one of my son’s CGMs, but the darn things are so expensive and insurance is an absolute pain about them.
Appreciate the conversation!
Yup, Phil Southerland started Team Type 1 a while back, and Novo Nordisk started sponsoring them a few years ago. TNN is loosely associated with Team Type 1 on Zwift, and from time to time a couple of their pros will host a ride for us mortals on Zwift.
Yeap, but this thread s about Supersapiends, you said you saw no downsides, I raised mine and you dismissed it, with whataboutism, cool
I hope I never think like that, as a T1 diabetic, my battles are my own, and I hope that anybody I beat, I beat them fairly, and their heath is good
Why are you talking about MyFitnessPal now, the rest of this thread is about Supersapiens
My opinion on Supersapiens is that the only thing worse than no data, is bad data, and there is no evidence that for the normal person in the street this is good data (to many vairables to understand, overload with a miss understand of how the human body work) and will lead to
… extended, without understanding what those graphs, how the human body works, it’s as good as miss information
Like i said earlier
And then you started talking about myfitnesspal
So where is the study that this is good data ? The only thing worse than no data is making decisions based on bad data
Apologies, I read this more whataboutism, again apologies for my responding to quickly without comprehending, but I don’t think that analogy works for Supersapiends, when it comes to caloric counting, we have evidence that calories in < calories expended = weight loss, now for some people, yes that will lead to obsessive behavior. and that is part of human nature, for me the problem with Supersapiends is that we have no x < y = z, we don’t know of there is a output, we can’t control x, and trying to do so will drive a negative feedback loop, with people adjusting diet and not eating to control x (when it’s harder to control than just diet) when we aren’t sure what y is or if there is a Z, there is no up side at the moment (IMO), and chasing these things can lead to obsessive behavior with no proven gain, unlike caloric counting which will lead to weight loss (healthy or not)
Anyway, enough damage done here, time to change my dexcom
Define “normally healthy”. Define “typical”. What constitutes a training ride wrt blood glucose? What conclusions should we draw from your n=1 study indicating one self reported bonk in 5 years?
Crux of the matter - used properly, a CGM is as useful as a power meter, HR monitor, cadence sensor, or speedometer. It provides information related to performance. If a rider uses that data appropriately, they can learn how their body responds to various inputs and types of effort and craft an informed fueling strategy.
Of course, just like the other sensors referenced, data can be used improperly as well. We have all ready posts from riders who misused their power data or HR, or assumed their cadence had to be exceptionally high or low, etc. That dodn’t mean those sensors weren’t useful tools.
This is an excellent analogy. It is possible to use MFP for a few days, draw all sorts of wrong conclusions, and develop terrible habits or strategies. It is also entirely possible to use it as a tool to improve your nutrition and achieve desired results (It worked for me - reversed diabetes and lost 160+ lbs). My experience certainly isn’t typical, and may not be a realistic goal for anyone else. But the availability of detailed data over time was what helped me formulate strategies that worked for me.
The tool itself is neutral. What you do with it determines its value.
The only proper documented use of a CGM is for a diabetic to help control their blood sugar and insulin levels. Healthy athletes using a CGM to control fueling on training rides is just a marketing campaign of a medical device so far.
(Speedometer? )
Aside from the obvious question from How to Tame Your Dragon ("What are you going to do about it?), there’s no real mystery as to how things like carbohydrate intake, exercise, training, and their combination impact plasma glucose levels. Data from a CGM have a higher temporal resolution, but aren’t going to lead to any significant revalations.
If you’re going to disagree with me, please do me the courtesy of citing my argument in context, What I wrote was: “Crux of the matter - used properly, a CGM is as useful as a power meter, HR monitor, cadence sensor, or speedometer. It provides information related to performance. If a rider uses that data appropriately, they can learn how their body responds to various inputs and types of effort and craft an informed fueling strategy.”
Gosh thanks for the wiki response. That might have been appropriate had my argument stopped where you stopped quoting.
Let me offer https://lucidphilosophy.com/7-cherry-picking/
You could have even followed to my caveat: “Of course, just like the other sensors referenced, data can be used improperly as well. We have all read posts from riders who misused their power data or HR, or assumed their cadence had to be exceptionally high or low, etc. That didn’t mean those sensors weren’t useful tools.”
If you want to jump to the chase, see paragraph 1 in Potential Limitations with CGM Use in Sport:
First and foremost, theoretical caveats relate to the as yet untested hypothesis that glucose data derived from CGMs can provide information on the success of various sports nutrition strategies implemented to optimize performance outcomes. In the case of the application of CGMs to guide fueling practices, there is currently no evidence that CGM-derived data can identify glucose values that denote optimal CHO availability or differentiate optimal and suboptimal CHO intake practices. Indeed, as previously noted, rather than measuring BG, CGM devices measure interstitial glucose concentrations, which lag behind BG values and are unable to identify rates of appearance and disappearance of blood-borne substrates.