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Recovery app helping users quit explicit content addiction and rebuild focus with daily tools

Acquire.com

A science-backed recovery app designed to help users manage porn addiction, rebuild focus, and stay accountable through structured daily tools. The app includes streak tracking, smart progress monitoring, daily challenges, rewards, educational content, and an interactive support system to help users manage urges and work toward recovery goals.

A science-backed recovery app designed to help users manage porn addiction, rebuild focus, and stay accountable through structured daily tools. The app includes streak tracking, smart progress monitoring, daily challenges, rewards, educational content, and an interactive support system to help users manage urges and work toward recovery goals. With access to a supportive community, 24/7 customer support, and real-life recovery stories, the platform provides encouragement, accountability, and ...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$75,600

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% 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: users, education · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
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
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
17%17% 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: active · Missing: arr, mrr, revenue
13%13% 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 · Strong signals: reward, smart · Missing: web3, chat, crypto
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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