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Profitable iOS subscription app helping people quit sugar and build healthier habits.

Acquire.com

This iOS subscription app helps people reduce sugar consumption and build healthier habits through guided programs, daily support, progress tracking, personalized insights, food scanning, and structured challenges. It addresses a common health goal through a simple user experience designed to encourage repeat engagement.

This iOS subscription app helps people reduce sugar consumption and build healthier habits through guided programs, daily support, progress tracking, personalized insights, food scanning, and structured challenges. It addresses a common health goal through a simple user experience designed to encourage repeat engagement. The business is profitable and lean, with recurring revenue from Apple and Stripe, low ongoing costs, and predominantly organic App Store acquisition. It provides a buyer wi...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$34,900

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
81%81% 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, profitable · Missing: mobile apps, entrepreneurs, apps
74%74% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, user, stripe · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
36%36% 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, profit, profitable · Missing: arr, mrr, saas
36%36% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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