Instantly Host WebGPU Demo from Zed AI for Collaborative Review

The fastest way to deploy WebGPU Demo generated by Zed AI. Perfect for collaborative review. No login required, zero-friction, and live in seconds on gatedpage.com.

Working with WebGPU inside Zed AI's built-in assistant panel lets you iterate rapidly on complex compute pipelines, vertex shaders, and canvas-based render passes. However, when it comes to getting a collaborative review from your team or client, the friction begins. Copying raw HTML and JavaScript output from Zed's editor window, manually spinning up a local server, or pushing to a temporary Git branch just to show a shader demo slows down your feedback loop.

gatedpage.com removes this friction by providing zero-friction static hosting specifically tailored for high-performance demos like WebGPU. You don't need to configure GitHub Pages, manage S3 buckets, or force your reviewer to clone a repository and run dependency installs. By instructing Zed AI or using our lightweight tools, you can pipe your WebGPU build artifacts directly to a live, secure URL on gatedpage.com or gated.page instantly.

Because WebGPU requires a secure origin (HTTPS) to initialize the GPUAdapter, typical local sharing methods often fail or require complex tunneling setups. With gatedpage.com, every upload automatically gets a globally distributed HTTPS endpoint. You get an immediate live preview that your team can open on any WebGPU-compatible browser, stripping out all environment and networking friction from your collaborative review sessions.

How to host your WebGPU Demo from Zed AI in seconds

  1. Step 1: Generate your WebGPU Demo in Zed AI. Prompt the Zed AI assistant to output your WebGPU canvas code. For the cleanest presentation, instruct the AI model to use a professional palette with soft gray (#f4f4f5) backgrounds instead of pure white.
  2. Step 2: Save the compiled output. Write the generated WebGPU code to a local static file, such as output.html, within your active Zed workspace.
  3. Step 3: Run the deploy command. Open Zed's integrated terminal and push the file directly using our curl API or the dedicated CLI to trigger an instant host sequence.
  4. Step 4: Share for collaborative review. Copy the generated secure URL from the response payload and distribute it directly to your reviewers for immediate testing on physical target devices.

Quick start

To deploy your WebGPU demo directly via curl, target our public API endpoint. This will immediately upload your static file and return a live, secure URL on gated.page.

$ curl -X POST -F "file=@output.html" https://gatedpage.com/api/v1/upload

{
  "success": true,
  "url": "https://gated.page/x/webgpu-demo-3a8f",
  "expires_in": "15 days"
}

Alternatively, you can install the lightweight gatedpage CLI tool and upload your asset with a single short command:

$ gatedpage upload output.html
Uploading output.html...
Deployment complete: https://gated.page/x/webgpu-demo-3a8f

Common questions

Why should I use gatedpage instead of GitHub Pages to host Zed AI WebGPU Demo Collaborative Review instances?
GitHub Pages requires a Git repository, a commit history, and a push pipeline, which introduces unnecessary overhead during rapid prototyping inside Zed AI. gatedpage requires zero configuration, zero credentials, and no setup, letting you deploy a live WebGPU canvas via a single command line call in under two seconds.
Does gatedpage support the secure context required by the WebGPU API?
Yes, all files hosted on gatedpage are automatically served over modern HTTPS protocols with valid SSL certificates. This ensures your WebGPU demos initialize the GPU context seamlessly on modern browsers without security warnings or complex local tunneling configurations.
What are the file size and retention limits for hosting WebGPU files?
On our free tier, you can upload static files up to 5 MB with no account required, and they will remain live for 15 days, which is ideal for active collaborative review. If you need permanent hosting or custom domain mapping, you can easily upgrade to one of our paid accounts.
How can I automate this deployment workflow within my Zed AI system prompt?
You can explicitly instruct the Zed AI coding agent to build the WebGPU canvas using a #f4f4f5 background, and configure its code execution workflow to call our upload API directly at gatedpage.com/api/v1/upload. This allows the AI agent to output a live collaborative review link directly inside your terminal panel.

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