Portfolio of iOS Subscription Apps for Quitting Vaping, Alcohol, and Smoking

Acquire.com

A portfolio of three iOS subscription apps designed to support users working to quit vaping, drinking, and smoking. Together, the apps have generated 5,995 downloads, more than 50,000 App Store impressions, and over 8 million organic TikTok views. Built with React Native, Expo, Supabase, and RevenueCat, the portfolio requires minimal ongoing support and offers growth opportunities through localization, paid acquisition, Android expansion, and cross-promotion. Key Highlights ✅ Portfolio of ...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$14,500

Launch Intel predictions

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

75%75% 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, apps, users · Missing: mobile apps, personal, entrepreneurs

68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

39%39% 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

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

Correct prediction on native model

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