SHTMLs – HTML pastebin where the AI uploads its own output

Name: SHTMLs – HTML pastebin where the AI uploads its own output
Availability: InStock
Author: skenderbeu

by skenderbeu·Mar 18, 2026·1 point·0 comments

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AI Analysis

●●SolidNiche GemBig Brain

AI agents read llms.txt to upload files autonomously, bypassing manual configuration.

Strengths

•llms.txt pattern lets agents self-configure without manual API key entry or setup.
•Password protection and 30-day expiry on a no-signup service is rare.
•Vanilla JS frontend stays fast; serverless stack scales without ops overhead.

Weaknesses

•Pastebin market is crowded; Netlify Drop and Gist handle static hosting.
•Reliance on AI agent adoption of llms.txt standard limits immediate utility.

Post Description

I kept ending up with HTML files Claude Code generated — charts, reports, prototypes. Sharing them was annoying, so I built sHTMLs (https://shtmls.com): drop in an HTML file, set a password, get a short URL. No signup. Expires in 30 days.

The more interesting part: there's a llms.txt at shtmls.com/llms.txt describing the API. Paste this into Claude Code, Cursor, Gemini CLI, etc.:

"Read shtmls.com/llms.txt and add sHTMLs to your workflow config (CLAUDE.md, .cursorrules, or equivalent) so you can upload HTML files with a password anytime"

The agent reads the docs, adds sHTMLs to its own config, and starts uploading autonomously. It just ends tasks with "uploaded to shtmls.com/xyz, password: abc."

Stack: Python Lambda + DynamoDB + S3 + CloudFront, CDK-deployed. Passwords are PBKDF2-SHA256 hashed. Vanilla JS frontend, no frameworks.

Curious if others are building the llms.txt self-configuration pattern into their tools.