Calley Means

Yeah, effort outcome mismatch. Yeah, that's a good way to talk about it. Right.

And that is where I think tools that can empower people with information to actually make choices that actually impact the physiology that leads to chronic disease and weight gain is really going to shape and change the future of health care and really create this patient empowered, more decentralized form of health care.

And that is where I think tools that can empower people with information to actually make choices that actually impact the physiology that leads to chronic disease and weight gain is really going to shape and change the future of health care and really create this patient empowered, more decentralized form of health care.

And that is where I think tools that can empower people with information to actually make choices that actually impact the physiology that leads to chronic disease and weight gain is really going to shape and change the future of health care and really create this patient empowered, more decentralized form of health care.

where we don't just outsource our judgment to other people, to the food companies, to healthcare systems that give very generic recommendations to anyone. We actually are able to have the judgment about our bodies for ourselves. And I think that's pretty cool.

where we don't just outsource our judgment to other people, to the food companies, to healthcare systems that give very generic recommendations to anyone. We actually are able to have the judgment about our bodies for ourselves. And I think that's pretty cool.

where we don't just outsource our judgment to other people, to the food companies, to healthcare systems that give very generic recommendations to anyone. We actually are able to have the judgment about our bodies for ourselves. And I think that's pretty cool.

It has been so incredible to start to see some trends emerge from this huge, anonymized, aggregated data set, really the first of its kind in the world. Like you mentioned, we have 51 million glucose data points, and this is just amongst our closed beta program, 16,000 people who have gone through our closed beta program.

It has been so incredible to start to see some trends emerge from this huge, anonymized, aggregated data set, really the first of its kind in the world. Like you mentioned, we have 51 million glucose data points, and this is just amongst our closed beta program, 16,000 people who have gone through our closed beta program.

It has been so incredible to start to see some trends emerge from this huge, anonymized, aggregated data set, really the first of its kind in the world. Like you mentioned, we have 51 million glucose data points, and this is just amongst our closed beta program, 16,000 people who have gone through our closed beta program.

We have almost 200,000 people on our wait list, so you can imagine that 51 million is data points is going to get a lot larger when we start opening to more people. We have those 51 million glucose data points paired with 1.3 million food logs. We can start to see for the first time ever how specific foods across a population

We have almost 200,000 people on our wait list, so you can imagine that 51 million is data points is going to get a lot larger when we start opening to more people. We have those 51 million glucose data points paired with 1.3 million food logs. We can start to see for the first time ever how specific foods across a population

We have almost 200,000 people on our wait list, so you can imagine that 51 million is data points is going to get a lot larger when we start opening to more people. We have those 51 million glucose data points paired with 1.3 million food logs. We can start to see for the first time ever how specific foods across a population

are affecting, uh, glucose and, and creating this population data of a closed loop biofeedback. Um, you mentioned the individualized aspect of this. That is so true. And that paper that you referenced, um, personalized nutrition by prediction of glycemic responses that was done about five years ago in Israel showed how variable it is person to person.

are affecting, uh, glucose and, and creating this population data of a closed loop biofeedback. Um, you mentioned the individualized aspect of this. That is so true. And that paper that you referenced, um, personalized nutrition by prediction of glycemic responses that was done about five years ago in Israel showed how variable it is person to person.

are affecting, uh, glucose and, and creating this population data of a closed loop biofeedback. Um, you mentioned the individualized aspect of this. That is so true. And that paper that you referenced, um, personalized nutrition by prediction of glycemic responses that was done about five years ago in Israel showed how variable it is person to person.

Uh, we could both of course, eat the exact same cookie and you and I could have a very different glucose response based on several factors like our microbiome, our underlying insulin resistance, et cetera. That's a really important aspect is for the individual, what kind of data they can get to really truly personalize their own data based on glucose response because of course,

Uh, we could both of course, eat the exact same cookie and you and I could have a very different glucose response based on several factors like our microbiome, our underlying insulin resistance, et cetera. That's a really important aspect is for the individual, what kind of data they can get to really truly personalize their own data based on glucose response because of course,

Uh, we could both of course, eat the exact same cookie and you and I could have a very different glucose response based on several factors like our microbiome, our underlying insulin resistance, et cetera. That's a really important aspect is for the individual, what kind of data they can get to really truly personalize their own data based on glucose response because of course,

we talked about this a lot in our last episode a more stable glucose level with more gentle rolling hills after meals avoiding the huge spikes and valleys that we see after eating large amounts of carbohydrates and sugar that's what we want we want the gentle rolling hills the low glucose response so you can start to see that in yourself and shape your diet very quickly on the population level