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  3. Glucose (CGM or finger-prick) Tracker

This tracker covers a sensitive category. Unhide is pattern-insight for self-improvement — never diagnosis, treatment, or medical advice. You'll be asked to confirm you understand this before your first entry.

Glucose (CGM or finger-prick) Tracker
Health

What's actually moving your glucose — and what isn't?

Log your readings, meals, and context. AI finds the patterns between your numbers and everything else happening.

2 minutes per readingAI insight at 30 daysFree to start

Updated 26 June 2026

Your glucose (cgm or finger-prick)
7.2/ 10 avg
Last 30 days
W1W2W3W4
+0.4 vs last month
This week
M
T
W
T
F
S
S
Your streak
9days
AI insight preview

Over 12 readings, your glucose averaged 7.2 mmol/L after porridge versus 5.8 mmol/L after eggs with toast — both at similar carb counts but different meal times…

Based on 31 entries · free at 30 days · only you see this
Only you see your data
No one else — not even the team — can read your entries
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Why track this

Glucose readings on their own are just numbers. What makes them useful is knowing what was happening around them — the meal, the timing, the activity, the sleep, the stress. This tracker captures all of that in one place, so AI can start to show you which specific inputs tend to move your readings up, down, or keep them steady. It's the tracker that started Unhide, built originally for one person managing diabetes, now available to anyone who wants to understand their own glucose patterns.

What it tracks

6 fields. Done in 2 minutes per reading.

Fast enough to fit into any routine, specific enough to generate real patterns after 30 days.

Glucose reading (mmol/L)
number
Glucose reading (mg/dL) — only if you use US units
number
Time of reading
time
How was this measured?
single select
Fasting state when measured
single select
What did you last eat or drink?
short text
How it works

Log, build, learn.

01

Log your reading and context

Record your glucose, what you ate, when, what you did after, and anything else relevant — in under two minutes.

02

Build a dataset over days and weeks

Each entry adds detail, and over time AI has enough data to start spotting correlations you wouldn't see on your own.

03

Get your first pattern insight

AI surfaces connections — like how certain meals, sleep hours, or post-meal walks show up in your numbers differently than others.

Benefits

Why people stick with it.

See which specific foods and meal timings coincide with your steadiest readings
Understand how walks, stress, sleep, and alcohol show up in your glucose an hour or two later
Spot patterns across days of the week or times of day you wouldn't notice from readings alone
Have more specific, grounded conversations with your care team using your own data
Stop guessing — let your own logged patterns show you what's actually happening
What you'll learn

4 things Glucose (CGM or finger-prick) reveals about you.

  • Which specific meals send your glucose higher or keep it steadier than others
  • How walking after eating (or not) shows up in your readings an hour later
  • Whether your numbers differ on 6 hours' sleep versus 8
  • What your glucose pattern looks like across a week — and which variables actually correlate
Sample AI insight

Here's what arrives at 30 days.

Illustrative — your analysis uses your own data.

What AI analysis reveals
Your glucose (cgm or finger-prick) pattern

AI looks across your logged readings, meal descriptions, carb estimates, activity, sleep, stress, and timing to surface correlations. For example, it might show that your glucose tends to be lower after meals where you walked within 30 minutes, or that readings logged after 7+ hours of sleep average differently than those after 5 hours. These are illustrative examples of the kind of pattern AI analysis can reveal — the actual insights will be specific to your own data, not generic advice.

Your averages
7.2/10
vs 8.4 on your best days

Over 12 readings, your glucose averaged 7.2 mmol/L after porridge versus 5.8 mmol/L after eggs with toast — both at simi

Your best runs
May 4–6 · avg 8.4
Consistent routine · early start
May 13–16 · avg 8.1
Low stress · good preparation
May 23–25 · avg 7.9
Same pattern · 3 times
Pattern confirmed
Who's tracking Glucose (CGM or finger-prick)

People watching their own patterns.

This tracker is for anyone managing their glucose who wants to understand which specific foods, timings, sleep patterns, or lifestyle factors are actually driving their readings.

FAQs

Common questions

Do I need to log every single reading?

No. Log what's realistic for you. Even a few readings a week will start to build a dataset AI can work with — the more you log, the clearer the patterns become.

I use a CGM. Should I still log manually?

Yes, because Unhide captures what was happening around each reading — the meal, the walk, the sleep, the stress. That context is what lets AI connect your glucose to real-world inputs.

What if I don't know exact carb counts?

Estimate. The field is there to help you see patterns over time, not to be clinically precise. You can also upload a photo of your meal and describe it in plain language.

Will AI tell me what to eat?

No. AI shows you correlations in your own data — like which meals tend to coincide with steadier readings, or how a walk after lunch shows up in your numbers. What you do with that is always your call.

Is this a medical device or diagnostic tool?

No. Unhide is a personal tracker. It doesn't diagnose, treat, or replace medical advice. It's built to help you spot patterns in your own data and have better conversations with your care team.

Can I track in mg/dL instead of mmol/L?

Yes. The tracker has fields for both units — use whichever your device or care team prefers.

Free forever · Plus £7.99/mo · Pro £17.99/mo

AI analysis at 30 entries · free

Your glucose (cgm or finger-prick) patterns are in your data.

2 minutes per reading. Thirty days to your first real insight. Free.

Start tracking free