Millions are starting GLP-1 medications like Ozempic, Wegovy, Mounjaro, and Zepbound — but they're flying blind between doses, unsure how medication levels, hunger, and side effects change over time.
JellyPal is the smart companion that helps GLP-1 users visualize medication levels, track food noise, and monitor progress — turning a confusing journey into a clear one.
Every dose, every dip, every milestone in one place — so users know where they are in the cycle instead of guessing.
Visualize estimated medication levels between injections so you understand where you are in each cycle.
Track hunger (“food noise”) and side effects over time to see what's working and what isn't.
Log weight, muscle, and milestones to keep your whole journey in one clear place.
GLP-1 medications do not hold a steady level between injections — they peak and taper. Most people feel that curve without ever seeing it, which makes a hard week feel random instead of expected. JellyPal plots the estimated level so the pattern becomes legible: where you are in the cycle today, and when the next dose is due.
Food noise — the constant background chatter about eating that these drugs quieten — gets tracked alongside it, together with side effects and weight. Logged over weeks, those series line up against the medication curve, so a change in appetite or a rough patch can be read against where you actually were in the cycle rather than guessed at.
JellyPal supports the four GLP-1 medications people are actually prescribed: Ozempic, Wegovy, Mounjaro and Zepbound, including dose changes as prescriptions are titrated up.
Who it's for: anyone early in a GLP-1 course who wants to understand what is happening rather than just endure it, and long-term users tracking progress across months. JellyPal is live on the iOS App Store.
“GLP-1 adoption is a fast-growing, durable consumer health trend with strong daily-habit retention. A companion users open every day — and keep through their entire journey — is exactly the kind of recurring, capital-efficient product we build around.”
Why it fits the model
