JazzKeys.fyi – Tutorials for jazz and funk keyboard players

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Web developer and jazz piano player here. I’ve just launched JazzKeys.fyi ( https://JazzKeys.fyi ), a website of tutorials covering bebop, modern jazz, blues and funk. It’s more or less a brain dump of some of what I’ve learned over the course of playing and studying jazz for ~25 years. I would likely have found it useful back when I started, and I created it in the hope that it might be helpful to others. The main audience for the site is people who already have some facility in playing a keyboard instrument (in any genre), and who want to learn jazz or improve their jazz playing. It assumes a basic understanding of how scales and chords work. Building the animated keyboard that accompanies each musical example was quite a rewarding technical challenge. For anyone interested in the details, there is a blog post about it at https://www.jamieonkeys.dev/posts/piano-keyboard-javascript/ . I hope folk find the site to be a helpful resource. Feedback and bug reports welcome!

Visit product View on Hacker NewsMar 10, 2023

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

88%88% 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 · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

72%72% 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 · Missing: mobile apps, ios, personal

43%43% 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

32%32% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: reward · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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