Demo: https://stfurkan.github.io/bitgpu/examples/chat.html

Repo: https://github.com/stfurkan/bitgpu

bitgpu is a zero-dependency WebGPU runtime for 1-bit (binary-weight) LLMs. The models are PrismML's Bonsai family (1.7B/4B/8B, plus the 27B which is a Qwen3.5-style hybrid with linear attention), I built the runtime, not the models. Weights stream from Hugging Face once, then everything runs on your GPU. Nothing leaves the machine.

Happy to get your feedback. Also, if you can share your setup and tok/s for the model you selected, I appreciate. I am developing this on my machine but it'll be good to hear if it's working as expected on other systems.

I've been building reze-design, a web-native MMD scene composer. The part this sub might like: every material is a Blender-style node graph that's validated, compiled to WGSL, and hot-swapped onto the WebGPU render pipeline.

Editor is built on React Flow, the graph->WGSL compiler and the render engine is Reze Engine.

I've been playing with spawning particles in Text or Image shape, which can yield some nice effects.

Link to DEMO

We're the team behind **ImmerShare**—**a tool built for 3D XR developers who need to share their work with clients or reviewers without the usual friction.**

**The problem we kept hearing:** 3D XR developers either send a huge zip file, pay for cloud GPU time, or ask clients to install something. None of these are great.

**What ImmerShare does:** you run your packaged build on your own PC, and it streams live to a browser link. The viewer just clicks — no install, no account needed on their end.

**Here's a video demo showing how Process Sharing works with a UE packaged build:** [**https://youtu.be/xg1EOxqO\\_Vo\*\*\](https://youtu.be/xg1EOxqO_Vo)

Free plan available. Happy to answer any questions about how it works technically.

(Disclosure: we're the ImmerShare team.)