CVJ-1 VJ Deck / VISUALZ audio-reactive VJ software

Hacker News

Hey HN — I’ve been building real-time audio-reactive graphics software for the past 7 years. It started as a side project while working full-time as a software engineer, and slowly evolved into VISUALZ — a GPU-accelerated VJ engine focused on low-latency audio analysis, and reactive visuals. Two years ago I decided to take it further and prototype dedicated hardware: the CVJ-1. It’s essentially a compact, touch-screen VJ deck designed mainly for live performance. We're hoping to get some pre-orders. To get the next phase of manufacturing moving forward.

Visit product View on Hacker NewsFeb 26, 2026

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

75%75% 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 · Strong signals: visual · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

69%69% 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

38%38% 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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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