Zw

Zwin – open-source XR windowing system for Linux and Meta Quest

Hacker News

Zwin – open-source XR windowing system for Linux and Meta Quest

Hi, I and my team just released the first beta of Zwin, a windowing system for XR. It can display multiple 3D apps simultaneously, as well as regular 2D Linux apps. It's fully open-sourced and currently supports Ubuntu/Arch Linux + Meta Quest 2/Pro. ...it's hard to describe VR systems with just a text. Here's a video demo: https://www.youtube.com/shorts/aPeacvIrVMo (short one) https://www.youtube.com/watch?v=uZEDEfEZB1w (full demo) In a nutshell, Zwin has following features. - Displaying existing 2D Linux (Wayland) apps and placing it freely inside VR - Opening multiple 3D windows simultaneously, which is not possible in existing VR systems - Instant switch between VR headsets & regular 2D screen This enables use cases such as: viewing 3D models (STL files) directly inside VR, using Blender on Wayland to edit them, and watching tutorial videos on YouTube inside Chrome at the same time, all without leaving VR. It also supports 2D screens, so you can put off the headset and continue working if you got tired. It's still in early beta, so there should be lots of bugs and problems. But it's open source so you can participate the development, or make your own 3D apps for Zwin if you're interested. I'm really glad if you check it out and tell us what you think!

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, apps, models · Missing: mac, agents, macos
87%87% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: just released, exist, open source · Missing: https docs, excited, lua
74%74% 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: apps, video, 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
31%31% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · 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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