Tiny Guitar reaches 1 million downloads

Hacker News

I'm an indie developer making iOS games. My guitar app, Tiny Guitar, has reached 1 million DLs after about 14 months on the App Store. Check it out here: https://itunes.apple.com/app/id504720445 It reached 128K weekly active users this March, and is currently hovering at around 100K weekly actives. http://i.imgur.com/Z4Zha73.png I'm anxiously waiting for the new Nexus 7 to get released, so I can explore porting some of my apps over to Android. You may have seen me post about my piano app in the past: https://itunes.apple.com/app/id477014214 I'm currently also exploring Tiny Drums, a natural follow up to my two music apps... but I'm not yet sure how I can make it simple yet engaging. Lemme know if you have any questions!

Visit product View on Hacker NewsJul 23, 2013

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

80%80% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, user · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, month · Missing: mobile apps, personal, entrepreneurs

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% 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.

Correct prediction on native model

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