Musikalia, an iOS Music Player for Kids

Hacker News

Hi HN! Yesterday I finally released Musikalia, an iOS music player I built for my son, so he could be in charge of the music. It is my first SwiftUI project, and I have been (very) slowly building it since December '21. It aims to be fun and easy to use for small children, while not being another addictive app. We are using it almost daily, and in our (n=1) experience, it achieves just that: my 3-year-old loves to listen to music using Musikalia, but at the same time it never feels like he has problems leaving it again. I've also written a bit on the back-story on my blog: https://harry.vangberg.name/posts/musikalia/ I hope this may be useful for other families! - Harry

Visit product View on Hacker NewsMar 16, 2023

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2points

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

53%53% 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

49%49% 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

16%16% 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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