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Glitter Protocol
Glitter Protocol

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PinMe: Why We Simply Focus on Deployment in the AI Coding Era

AI has made building demos dramatically faster. What has not improved at the same pace is publishing those demos for others to access.

The Problem We Solve

Most friction now happens after the code is generated:
• A project runs locally, but there is no public link to share.
• Traditional deployment requires setup work that is disproportionate to short-lived demos.
• Many deployment platforms require accounts, projects, and platform specific configuration.

This gap is the “last mile” of AI coding: turning a local build into something publicly accessible.

Why Deployment Matters Now

AI driven development increases the number of prototypes, experiments, and temporary projects. These projects need:
• fast publish and share
• minimal setup
• low operational overhead
• independence from any single AI tool or ecosystem

Deployment becomes the delivery step, not an infrastructure project.

Our Approach

PinMe focuses on one outcome: publish a static build artifact.
• input: build output (for example, a dist folder)
• output: a public URL

PinMe does not require changes to source code or framework conventions. If your project can build locally, it can be deployed.

Default to No Login

PinMe treats no login as the default path.

You can deploy and get a public link without creating an account. Publishing is a standalone action, not an identity bound workflow.

Automation Support

For teams or repeat workflows, PinMe supports CI automation, including GitHub Actions, to publish on each push.

Positioning

PinMe is deployment focused by design.
• it is not an AI coding tool
• it is not tied to any model or editor
• it is a neutral endpoint for publishing build outputs

Summary

AI reduced the cost of writing code. PinMe reduces the cost of delivering it.

We focus on deployment because delivery is the step that turns work into something usable, shareable, and real.

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