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Detoxify – Kicking out a bad habit? Track it with this

Hacker News

Detoxify – Kicking out a bad habit? Track it with this

Hey HN, I made Detoxify, right now it's just a simple addiction tracker, but I'd like to build it out to focus primarily on another goal: addiction replacement. I was addicted to video games for basically my whole life, and I found that willpower alone is not enough to fully quit - you need to track it and you need to replace it. So in the future I'd like Detoxify to be able to give you something back in a big way - if you spend 8 hours a day on video games, imagine if you could begin a 'detox' and then have the app issue you replacements for those hours. 8 hours of video games becomes 2 hours of Lego sent to your house, plus 2 hours of books, plus 4 hours of kayaking. If that sounds like something you'd like to support the development cycle of, please pick up a trial. https://itunes.apple.com/us/app/detoxify/id1438276133?ls=1&m...

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% 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: video, way · Missing: mobile apps, ios, personal
70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews
60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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