The daily work behind 100.1 β 50
β weight logged β period day
β already reached β next target β further out
| Week of | Target | Size | Achieved | Projected (your pace) |
|---|
Sizes in the plan are a rough guide from weight only β roughly 5β8kg per size on average, and size can lag behind the scale.
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.
β
27 Jul β 24 Aug 2026 Β· Sibionics sensor, ~8,000 readings. A reference from your last CGM run β not live data.
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 β 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 0.34 across 102 meals) β some low-carb meals still produced a rise, and some higher-carb ones didn't.
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.
Small afternoon snacks (3β6pm) 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.
| Time | Meals | Avg rise |
|---|---|---|
| Snack (3β6pm) | 13 | +1.15 |
| Lunch (11amβ3pm) | 39 | +0.69 |
| Dinner (6pm+) | 33 | +0.60 |
| Breakfast (5β11am) | 17 | +0.60 |
Lowest-carb meals still moved glucose slightly β plain boiled eggs, green tea, and diet soda all produced small rises (+0.4β0.6), 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 58β60g-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.
| When | Carbs | Rise | Meal |
|---|
Combines the original export with anything you've imported since. Matches your weight data source, confirming syncs are consistent.
Combines the original export with anything you've imported since β daily average.
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.
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:
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.
Weight, waist and hip move at different paces for everyone β the trend across weeks tells you more than any single reading.
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.