ExDetox

TrustMRR

ExDetox is a subscription-based iOS app designed to help users move on from breakups using structured no-contact tracking, emotional journaling, and AI-powered support. The app combines psychology-driven onboarding, habit tracking, and personalized insights to keep users engaged and reduce relapse. Monetized via in-app subscriptions with strong onboarding conversion and organic user acquisition through social content.

Visit product View on TrustMRRDec 12, 2025Health & Fitness Other B2C

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Actual performance

23customers

$94MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-37.8%

Launch Intel predictions

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

74%74% 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, users · Missing: mobile apps, entrepreneurs, apps

62%62% 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: user, using · Missing: mac, agents, macos

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

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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Acquire.com, 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

16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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