Claude MIDI Twister – An agent visualizer for a DJ MIDI controller

Hacker News

I was inspired by the release of the Codex Micro controller ( https://worklouder.cc/codex-micro ) and repurposed a DJ TechTools Midi Fighter Twister I had laying around into a hardware visualizer for my Claude Code sessions. This is a little daemon that listens for CC webhook events and updates the MIDI controller in response. I haven't seen very many hardware visualizers for agentic workflows, and I've grown accustomed to having my agents reflected in the MIDI controller propped up under my monitor. If one needs my attention it starts flashing red and I can click on it to go to that session.

Visit product View on Hacker NewsJul 31, 2026

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

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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