Built for the professional, not the chart
Sentences first. Numbers when you want them.
A busy professional should read the meaning in seconds. If they ever have to interpret a chart to use the tool, the tool has failed. So the read opens in plain language — and the math waits one click deeper.
- ☀️The day runs flat and low — steady daytime responses, no big swings after meals. A calm baseline to build from.
- 🌙The lowest readings land overnight, in the small hours, on several nights. Worth talking about evening meals and how the nights feel.
- 🌅Mornings start low and pick up slowly. A gentle place to check whether breakfast is doing its job.
Suggested first conversation
The days look settled; the thing to look at together is the nights. A good moment to talk about evening fuelling and sleep.
Behavioral language, not glycemic
We never ask a coach to think in glucose. Same reality, framed as behavior they can reason about.
The sun shows rhythm; the words hold meaning
A neutral picture of when the body was busiest — never “up = good.” Two identical suns can earn very different sentences, because the words carry the meaning.
Deep model, simple surface
Tables and daily graphs still exist — demoted behind a toggle, not deleted. We simplified the report; we didn't throw away the math.
Framed as discovery, not correction
Every observation is something to explore — “a natural first place to start” — never a fault to fix. Change comes from learning something can be better, not from restriction.
Behavior you coach. Biology you refer.
The read stays with the coach — warm, plain, non-medical. When something looks like biology, we don't play doctor: we flag it calmly, name what we saw, never the condition, and refer it to the medical team with Roche's full report. Our reading translates glucose into behavior; Roche's report gives the doctor the biology. Neither tries to be the other.
Plain observations to act on directly. “Eating clusters late.” “Breakfast is skipped.” Most of the screen. Coaching, never diagnosis.
A calm, graded flag when a pattern deserves a clinician's eye. Names the observation and refers it to the medical team, with Roche's full report. A smaller, separate channel.
Where the evidence stands
We built for the use the evidence actually supports.
In people without diabetes, CGM isn't a diagnostic — and we don't pretend otherwise. What the evidence does support is CGM as a behavior-change and engagement tool. That's precisely what we built.
Across 25 RCTs and 2,996 participants, CGM feedback improved time-in-range and shifted diet behavior — with no proven weight effect. Behavior is where CGM earns its keep.
Meta-analysis, Int. J. Behavioral Nutrition & Physical Activity, 2024
Two people, the same standardized meal — very different glucose responses, with genetics explaining only about a third. The individual signature is real, and CGM reveals it.
ZOE PREDICT 1, Nature Medicine, 2020 · n=1,002
On tirzepatide, patients reached 91% time-in-range — roughly six more hours a day in range than on basal insulin. GLP-1 therapy reshapes the very rhythm we read.
SURPASS-3 CGM substudy, Lancet Diabetes & Endocrinology
Some “normoglycemic” people spend up to 15% of the day in prediabetic range — dynamic patterns the standard snapshot tests miss entirely.
Stanford “glucotypes,” Hall et al., PLOS Biology, 2018
ⓘThe honest version: there are no validated diagnostic cut-offs for non-diabetic CGM, and even specialists interpret the same report differently. That's exactly why we don't diagnose with it — we read it for behavior, and refer anything medical to a clinician.