GLP Daily

TrustMRR

GLP Daily is the simplest way to stay on top of your GLP journey. Log your shots, weight, side effects, and progress photos in seconds, then watch your trends come together in a clean, beautiful timel

GLP Daily is the simplest way to stay on top of your GLP journey. Log your shots, weight, side effects, and progress photos in seconds, then watch your trends come together in a clean, beautiful timeline built to keep you consistent. Whether you're just starting or months in, GLP Daily helps you stay organized, spot patterns, and show up for yourself every day.

Visit product View on TrustMRRJun 24, 2026Health & Fitness Mobile App B2C

Actual performance

1customers

$5MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-100.0%

Launch Intel predictions

Analyze your own launch →

TrustMRRFits verified-revenue profile · Strong signals: month, way · Missing: mobile apps, ios, personal

75%75% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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