Code music in Python

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Write musical patterns in Python that respond to a given song structure and run a simulation that generates a multitrack MIDI file. I built this because I think applying code to music making is a powerful tool, but I find that most music coding software out there is more focused on experimentation rather than conventional songwriting. This is an attempt at creating something that can reference typical constructs from songwriting, such as the underlying chord progression and timeline of a song. I also have a github repo that is a thin wrapper around the api that runs the simulation, for anyone interested in coding locally: https://github.com/vegardkd/pattern-composer-library The website is as bare-bones as possible, designed specifically for showcasing the program. There are also some bugs and inconsistencies in the code being run, but I'm publishing it to see how people react. I'm trying to a find a way that this might appeal to music producers with no coding background by making the syntax as easy to digest as possible. I would greatly appreciate feedback.

Visit product View on Hacker NewsFeb 9, 2024

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

69%69% 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

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.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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