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The Challenge of Using the Data to Surface Personalized Insights
Right now, we've got roughly just around five thousand weekly active users. From those weekly active users dots only, we'll say anywhere from 55, 56 to 58 % of people are logging food. So the challenge becomes, we can see if there is a gluco spike like that, a data point we've got, but then we don't have something to correlate it against. And so then we can surface an insight that says, hey, you had a glucco spike of this, and it lasted for this long. But being able to par it back, we can say, avoid the thing you ate. But that's not as helpful as being able to say, oh