Software playing music sheets

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Hi everyone! I wrote a software a while ago that would play a music sheet generated by lilypond (a music sheet engraver). It shows the music sheet and follows it with a cursor. I made a video to demo the end-result. You can watch it at https://s-d-m.github.io/lilydumper/intro_assets/lilyplayer-d... The soft is mainly based on the event listener. If you are interested in knowing how I extracted pieces of information from lilypond to know e.g. where on the music sheet the cursor is and at which time, you can read the documentation at https://s-d-m.github.io/lilydumper/ If you have any question, feel free to ask! Cheers

Visit product View on Hacker NewsJul 27, 2018

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

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

51%51% 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

43%43% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

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