GLP AI

GLP AI· Glp-1 tracker app

GLP-1 tracker with meal scores and an AI coach

Health & Fitness·AI & Machine Learning

What is GLP AI?

GLP AI is a glp-1 tracker app.

GLP AI is an all-in-one GLP-1 tracker for doses, injection sites, symptoms, weight, meals, protein and water. Snap a meal for a 0–100 GLP-1 Meal Score, with feedback on protein, fiber and nutrition quality. Set dose reminders, follow your progress and ask the AI coach about nutrition and everyday habits. Available on iOS and Android, with free tracking and a limited try of Meal Score and AI coaching. Premium unlocks full access.

X/Twitter@glp_ai
PricingFreemium
LaunchedNov 2, 2026

Publisher

Joined Sep 20261 launch

Comments

1
  • user-0504ba
    user-0504baMaker· 3h ago

    Hi Better Launch! We're the team behind GLP AI. GLP AI is an all-in-one tracker built for life on a GLP-1. Keep doses, injection sites, symptoms, weight, meals, protein and water together, with reminders for your next dose and a clear view of your progress. A feature we're especially excited to highlight is the GLP-1 Meal Score. Snap a meal for a 0–100 score, with feedback on protein, fiber and nutrition quality. The AI coach is there for questions about nutrition, logged meals and everyday habits. Available on iOS and Android. Tracking is free, with a limited try of Meal Score and the AI coach; Premium unlocks full access. Photo estimates are approximate. GLP AI is for tracking and education and does not replace your clinician. We'd love to hear what would make your GLP-1 routine easier to manage.

Ready to launch?

Submit your product and get discovered by builders and creators worldwide.

Launch Now

FounderPlaybooks.

What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Product
no more spending time trying to manage embeddings and providing context from these embeddings we spend a ton of time building this in house now everything is about to become a simple parameter in an API call we can delete a lot of our custom code

Platform feature drops often help you — they delete your custom code

When the underlying platform ships the feature you were duct-taping together, panic is the default reaction — but Banua at SciSpace welcomed OpenAI shipping native embeddings/retrieval because it deleted months of custom infrastructure his team was maintaining. Reframe platform releases: each one collapses a layer of your engineering cost, freeing you to invest that capacity in features the platform will never build.

Product
the number one thing which allowed me to do that was having kind of a third party payable platform allowed me to being autonomous and and iterate fast and and really kind of shorten the cycle of actually like coming up with experiment developing it launching it from yeah months or weeks to to essentially days

A paywall platform compresses experiment cycles from weeks to days

Using a third-party paywall platform let Michal run experiments without engineering dependency, cutting the cycle from months or weeks down to days. This autonomy was the enabling factor behind the 60% ARPU increase: without it, the same experiments would have taken far too long to compound in five months. Experiment velocity is a growth asset; if your paywall requires a sprint to change, your testing cadence is artificially capped.

There's a play for whatever you're stuck on.

Read all 2722 playbooks