Groundwork
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Groundwork

The daily work behind 100.1 β†’ 50

– kg

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Days weighed in a row
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Lost so far

Progress

Start weight
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Goal weight ✎ Edit
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Fat mass
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Muscle mass
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Days tracked
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Your approach

Low-carb diet β€” keeps blood sugar and insulin levels steadier through the day, which tends to reduce hunger and cravings and makes it easier to stay in a deficit without feeling like you're fighting your appetite.
Calorie deficit β€” eating fewer calories than your body uses. This is the part that actually drives fat loss; the other two make it more sustainable to stick to.
15-hour intermittent fast β€” extends your overnight fasting window, giving insulin levels longer to stay low and naturally limiting the hours you're eating, without needing to count anything extra.

Log today

Advanced logMeasurements, habits, mood & notes
Body measurements
Daily habits
How you feel
Mood
Energy
Hunger

Timeline

Calendar

● weight logged   ● period day

Weekly plan

● already reached   ● next target   ● further out

swipe to see all columns β†’
Week ofTargetSizeAchievedProjected (your pace)

Sizes in the plan are a rough guide from weight only β€” roughly 5–8kg per size on average, and size can lag behind the scale.

Your size now

From your latest bust, waist and hip measurements, using the standard Australian women's dress size chart. Log them in the Advanced log to keep this up to date. Most people fit their largest measurement.

Trend

Start
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Current
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Change
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Body composition breakdown

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Total lost
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From fat
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Muscle change
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Glucose baseline (28-day CGM)

27 Jul – 24 Aug 2026 Β· Sibionics sensor, ~8,000 readings. A reference from your last CGM run β€” not live data.

Average
5.8 mmol/L
Time in range
98.6%
Range
2.9–9.4

Nutrition Γ— glucose

102 logged meals matched to a CGM reading right before eating and the peak glucose in the 2 hours after, from your Lose It β†’ Google Fit sync overlapping your CGM period (27 Jul – 24 Aug). Average rise across all 102: +0.70 mmol/L (median +0.60).

Carb content only weakly predicted the size of the glucose rise (r β‰ˆ 0.34 across 102 meals) β€” some low-carb meals still produced a rise, and some higher-carb ones didn't.

Fried/crumbed vs. everything else

Meals containing fried, crumbed, tempura or battered items (nuggets, schnitzel, parmigiana, etc.) averaged a noticeably bigger rise than meals without them β€” this predicted the rise better than carb count alone did.

Fried/crumbed (n=33)
+0.94 avg
Everything else (n=69)
+0.59 avg

Rise by time of day

Small afternoon snacks (3–6pm) showed the biggest average rise β€” likely because they're smaller, faster-absorbed portions on their own rather than part of a bigger, protein-heavy meal.

TimeMealsAvg rise
Snack (3–6pm)13+1.15
Lunch (11am–3pm)39+0.69
Dinner (6pm+)33+0.60
Breakfast (5–11am)17+0.60

The contrast that matters

Lowest-carb meals still moved glucose slightly β€” plain boiled eggs, green tea, and diet soda all produced small rises (+0.4–0.6), just from normal digestion/stress response, not sugar.

Some of your biggest-carb meals barely moved it at all β€” a 52g-carb meal of coleslaw, avocado and tofu produced only a +0.3 rise, and a 52g-carb meal with cheese and onion only +0.7. Compare that to the 58–60g-carb tempura nugget and dumpling meals, which produced +2.1 rises each β€” similar carb totals, very different outcomes.

The common thread in the low-rise, high-carb meals: whole vegetables, tofu, cheese β€” slower-digesting or fibre-heavy carbs. The high-rise meals shared fried coatings or steamed dumpling wrappers (refined, fast-digesting starch). This is a more useful pattern to watch than the carb gram count alone.

Meal-by-meal detail

WhenCarbsRiseMeal

Daily steps (Google Fit)

Combines the original export with anything you've imported since. Matches your weight data source, confirming syncs are consistent.

Sleep (Google Fit)

Resting heart rate (Google Fit)

Combines the original export with anything you've imported since β€” daily average.

Backup & restore

Your data syncs to your Google account while you're signed in. A backup file is an extra copy you keep yourself β€” handy before big changes.

Restore from a previously downloaded backup file. This replaces everything currently in the app with what's in the file.

Import Google Fit data

Upload the whole Google Takeout .zip exactly as you downloaded it β€” no need to unzip it or hunt for a file. The app picks out what it needs:

  • Weight, steps, heart rate and period days
  • Body fat (turned into fat mass using that day's weight)
  • Sleep, from your sleep stages
  • Water logged in Google Fit

It's read on your device and only fills in days you're missing β€” nothing you've logged yourself is overwritten. (The single "Daily activity metrics.csv" file still works too.)

This can't run automatically β€” Google doesn't let a plain web page like this sign in and pull live data on its own, so it's a manual export-and-upload each time you want to catch up.

History

No entries yet β€” log today's numbers above to start.

Weight, waist and hip move at different paces for everyone β€” the trend across weeks tells you more than any single reading.

Rewards

Set what you're working toward at each milestone β€” tap a reward to edit it. Unlocks automatically as your logged weight reaches each target.

Reward photo