● Food Intelligence · Beverage
Across 14,249 single-item latte logs, Signos members averaged a +28.1 mg/dL glucose peak — with 41.5% of responses staying under +20 mg/dL. A plain whole-milk latte tracked +30 mg/dL across 23,396 builder logs; pour in pumpkin-spice or vanilla syrup and the average climbs to +38 and +34 mg/dL.
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Modestly — across 14,249 single-item logs where members drank a latte alone, the average glucose peak was +28.1 mg/dL, with 41.5% of responses staying under +20 mg/dL. In our single-item cohort of 14,249 latte logs, the median peak was +24 mg/dL and the IQR ran from +14 to +38 mg/dL. The dominant lever isn't the milk — it's added sugar and what's on the plate alongside. A plain whole-milk latte tracked +30 mg/dL across 23,396 builder logs; vanilla pushed that to +34 mg/dL (n=1,962), and pumpkin-spice / seasonal flavored variants ran +38 mg/dL (n=391). Pair the latte with a pastry and the average jumps to +45.5 mg/dL (n=1,117) — a +15 mg/dL penalty over the alone baseline. These are observational findings, not causal.
Some members spike +27.9 mg/dL. Others spike +46.1. The only way to know how you'll spike is to measure with a Signos CGM.
A plain latte is roughly a glass of whole milk plus a shot of espresso — so its glucose profile mirrors whole milk's. Across 14,249 single-item logs, the average peak was +28.1 mg/dL, with 41.5% of responses landing under +20 mg/dL. Lactose (~12g per cup of whole milk) drives most of that response; espresso contributes essentially zero carbs. The two biggest amplifiers in the broader 32,083-log cohort are added sugar and total carb load: high-sugar meals (≥20g sugar, n=10,238) spiked 70% above the low-sugar baseline (CI: +15.9 to +16.95 mg/dL, p<0.001), and high-carb meals (≥60g, n=3,798) spiked 58.7% higher (p<0.001). Flavored syrups are how those amplifiers enter the cup; pastries on the side are how they enter the meal. All modifier effects are observational, not causal.
This page draws on Signos production CGM data logged between March 2025 and April 2026, covering 32,083 meals containing a latte across 6,373 unique members (broader cohort), with a single-item sub-cohort of 14,249 meals (3,964 unique members) where a latte was logged without other foods. Statistical comparisons use Welch's t-test on matched pairs; all modifier effects cited carry p<0.001 unless noted otherwise. Cohort filtering restricts to meals with a measured glucose rise between 0 and 100 mg/dL (ppgr_case='regular'). We report mean peak glucose rise; the distribution is right-skewed, and the single-item median is +24 mg/dL versus a mean of +28.1 mg/dL. Latte logs were identified by regex on member-logged food names, excluding chai, matcha, and turmeric latte variants (which are tea-based and tracked separately). A minimum group threshold of 30 matched meals is required for any modifier to appear in the calculator; high-confidence threshold is ≥500 logs.