Foodzy Pro

TrustMRR

Foodzy Pro is a next-generation platform that automates nutrition plan creation and client monitoring without compromising scientific rigor. It brings everything together in one place: a powerful backoffice for health professionals, plus native iOS, Android and Web apps so clients can easily follow their personalized nutrition plans anytime, anywhere. Can be used as a standalone product for your own practice or resold as a turnkey, white-label solution unlocking multiple revenue streams.

Visit product View on TrustMRRJul 9, 2025Health & Fitness Software B2C

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Actual performance

1customers

$11MRR/mo

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

73%73% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: plus, platform · Missing: intuitive, reviews, host

66%66% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

54%54% 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: io · Missing: https docs, excited, just released

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

27%27% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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