LLMFeeder – Browser extension to extract clean content for LLM context

In plain words

LLMFeeder is a browser extension that extracts clean article content from websites and converts it to markdown for use with AI coding assistants. It strips away ads, popups, and navigation elements using Mozilla's Readability technology, then copies the formatted text to the clipboard with a keyboard shortcut. Available for Chrome and Firefox, it processes all content locally without sending data elsewhere, and offers configurable formatting options. The extension is open source and designed for developers who frequently feed documentation into tools like Cursor, ChatGPT, or Windsurf.

written from the facts on this page · September 2026

From the sources

Browser extension to convert web pages to clean Markdown and copy to clipboard so you can feed it to your favorite LLM model as context with just 1 click! - jatinkrmalik/LLMFeeder

In the maker’s words, at launch

I built this browser extension to solve a daily frustration: copying documentation from websites to feed into AI coding assistants like Cursor, Windsurf, or ChatGPT, only to get a mess of ads, popups, and navigation junk mixed in with the actual content. LLMFeeder uses Mozilla's Readability.js (same tech as Firefox…

• 
  Copy as Markdown2025 · copyasmarkdown.com · ▲302

  Convert text to markdown for LLMs like ChatGPT

• 
  I wrote an open-source browser alternative for Computer Use for any LLM2024 · github.com · ▲180

  Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…

• 
  Browser Harness – Gives LLM freedom to complete any browser taskApr 2026 · github.com · ▲134

  Hey HN, We got tired of browser frameworks restricting the LLM, so we removed the framework and gave the LLM maximum freedom to do whatever it's trained on. We gave the harness the ability to self correct and add new tools if the LLM wants (is pre-trained on) that. Our Browser Use library is tens of thousands of lines of deterministic heuristics wrapping Chrome (CDP websocket). Element extractors, click helpers, target managemenet (SUPER painful), watchdogs (crash handling, file downloads, alerts), cross origin iframes (if you want to click on an element you have to switch the target first,…

• 
  Robust LLM extractor for websites in TypeScriptMar 2026 · github.com · ▲72

  We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…

• 
  LLMS.txt Explorer2025 · marketplace.visualstudio.com · ▲20

  A VSCode extension for browsing and searching LLMS.txt files

• WE
  WebGPU enables local LLM in the browser – demo site with AI chat2025 · andreinwald.github.io · ▲145

  Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your OPENAI_API_KEY - its local model that runs on your device - No network requests to any API - No need to install any program - No need to download files on your device (model is cached in browser) - Site will ask before downloading large files (llm model) to browser cache - Hosted on Github…

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 18d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 18d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 20d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 21d ago · stillwet.art

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 30d ago · world.pixverse.video

• 
  Beam.win▲378

  Run AI agents on one Mac and use its windows on another

  AI · 4d ago · beam.win

• IM
  I'm an airline pilot – I built interactive graphs/globes of my flights▲1,539

  Hey HN! Pilots everywhere are required to keep a logbook of all their flying hours, aircraft, airports, and so on. Since I track everything digitally (some people still just use paper logbooks!), I put together some data visualizations and a few 3D globes to show my flying history. This globe is probably my favourite so far: https://jameshard.ing/pilot/globes/all If you’ve got ideas for other graphs or ways to show this kind of data, I’d love to hear them!

  Life & fun · 2025 · jameshard.ing

• 
  Chronicle: Cursor for Slides▲1,212

  Stunning presentations with AI. No design skills required.

  AI · 2025 · chroniclehq.com

• 
  Bubble for native mobile apps (beta)▲1,026

  Build native mobile apps for iOS and Android without code.

  Dev tools · 2025 · bble.io

• 
  Twenty▲989

  Build your Enterprise CRM with an AI-friendly SDK

  Dev tools · 2025 · twenty.com

• 
  Pally - AI Relationship Management▲949

  All your connections, across all your socials.

  AI · 2025 · pally.com

• 
  Workout.cool – Open-source fitness coaching platform▲827

  I was the main contributor to workout.lol, an open-source fitness app to easily build a workout routine. The project had traction (1.4k GitHub stars, 95 forks, ~20K visits/month), but was eventually sold due to video licensing hurdles. The new owner stopped maintaining it, and the repo went abandoned. Over the next 9 months, I sent 15 emails to try to save it : no replies. Feature requests & issues were ignored. The community was left with a "broken" tool let's say. I couldn't just let it die So I built the new version from scratch with the same open-source spirit, but a better…

  Dev tools · 2025 · github.com