Unlust
TrustMRRUnlust is a **** addiction recovery app, helping 50,000+ users quit **** and rewire their brain with daily lessons, urge-busting mini-games, a personalized AI recovery plan, and a growing recovery-tre
Unlust is a **** addiction recovery app, helping 50,000+ users quit **** and rewire their brain with daily lessons, urge-busting mini-games, a personalized AI recovery plan, and a growing recovery-tree streak tracker.
Share cardActual performance
582customers
$1,673MRR/mo
Made the leaderboard
Traction signals
MRR growth 30d-13.1%
Launch Intel predictions
Analyze your own launch →TrustMRRFits verified-revenue profile · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released47%47% 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, crypto42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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