Music Visualizer|New MilkDrop engine and various types of reactive art

Hacker News

This is my take on what a modern music visualizer looks like. Five engines, one HDR pipe, with 12 pass post chain. (LUT, God Rays, Bloom) Images, video, .milk, glsl, webgpu, three.js,, and more. Span, Mirror, Wallpaper, Logos, OBS, Spout (in/out), Ableton, NDI, capture, games, workshop... It's pretty, it's different, and was built by one person with dog by side. It's free with DLC's, be one of the first to try it. The audio path is the most innovative part, and you won't even know it's there.

Visit product View on Hacker NewsAug 27, 2026

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Actual performance

4points

1comments

Did not reach leaderboard

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, visual · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Strong signals: audio · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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