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Five/Three/One – A workout app for 5/3/1 – is now available on Android

Hacker News

Five/Three/One – A workout app for 5/3/1 – is now available on Android

A lot of people asked when Five/Three/One would be on Android when it made the front page a couple of weeks ago. That day has arrived! I've already made $70 from IAP in the two initial weeks, which is more than I expected. My goal for now is to make a grand total of a grand, like I did with the iOS app (which is now making >$500/mo [0]). Anyways, this is not the end of the journey. I'm starting work on another tiny project for now, but will work on an Apple Watch companion for Five/Three/One after that. Hope you enjoy and get stronger! [0] https://news.ycombinator.com/item?id=31508009

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1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
83%83% 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, way · Missing: mobile apps, personal, entrepreneurs
69%69% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple, new, tiny · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
28%28% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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