Analyze Garmin data for meal planning and health patterns

The poster exports Garmin data into a Claude project and meal planner, where Claude spotted a link between eating more on one day and reduced medication efficacy.

What They Did

One commenter said they keep separate meal-planner and health projects and manually enter data from a Hume band, body-composition scales, and their medication use. In back-and-forth conversations, Claude helped them spot that they consistently ate much more on one day of the week and linked it to reduced Mounjaro effect a set number of days after injection; the person then used that finding to update the meal planner.

How It Went

The result was meals for that day being redesigned so they could eat a lot more without side effects. The thread gives no hard metrics, and other commenters warned that LLMs can overread anomalies unless you provide enough context.

Worth Knowing

Their practical shortcut was not exporting everything: they said they usually just type a few app data points by hand, which only takes a few minutes.