Profitable Quit-Smoking App

Acquire.com

A profitable mobile health platform helping people quit smoking with a guided, proven program. Users get step-by-step support, daily tracking, and community accountability across iOS, Android, and a web funnel that acquires users without app store fees. Fully built, growing, and easy to run, it delivers recurring revenue with low customer acquisition costs from TikTok, Instagram, and paid campaigns. Ready to plug into clinics, wellness providers, mental health platforms, and corporate wellbe...

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Actual performance

$3,833/yr

Did not reach leaderboard

Traction signals

Asking price$82,900

Annual revenue$46,000

Revenue multiple1.8x

Launch Intel predictions

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

87%87% 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, users, profitable · Missing: mobile apps, personal, entrepreneurs

77%77% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, profit, profitable · Missing: arr, mrr, saas

75%75% predicted probability of success on Acquire.com, 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: user · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

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