Learn piano without sheet music

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I always found sheet music way too hard to read - and I literally spent a year at a company building a sheet music rendering engine. I wanted an app that would display music like the tutorials on YouTube, but not be focused on upselling lessons etc. like most current apps, and also would let me import my own files This works on MIDI files. If it’s a valid midi it probably plays. Since releasing, I did add a subscription for classical music - on a theory that most normal users don’t know what a midi file is. It changed about a month ago from an up front price to in app purchases and/or a subscription - which has absolutely tanked revenue so far - but maybe it will pick up Would love to hear your thoughts and if you have any suggestions!

Visit product View on Hacker NewsSep 22, 2023

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

91%91% 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.

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

74%74% 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 HuntOn track for Day 1 leaderboard · Strong signals: apps, user · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% 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.

Correct prediction on native model

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