cali

TrustMRR

Cali is a modern, intuitive calorie tracker designed to make healthy eating effortless. Scan barcodes, log meals in seconds, and track your daily nutrition with a beautifully clean interface. With personalized insights, progress widgets, and Apple Health integration, Cali helps you hit your weight goals and build sustainable habits. Join a supportive community and take control of your health journey today.

Visit product View on TrustMRRJun 1, 2026Health & Fitness Mobile App B2C

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Actual performance

12customers

$129MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d+36.8%

Launch Intel predictions

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

70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, interface · Missing: plus, platform, reviews

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% predicted probability of success on Indie Hackers, 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

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

21%21% 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

17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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