Alternatives
Products that do what LLMFeeder – Browser extension to extract clean content for LLM context does
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 Reader Mode) to extract just the main article content, converts it to clean markdown with Turndown.js, and copies it to your clipboard with a single keyboard shortcut (Alt+Shift+M or ⌥ ⇧ M). No clicking through popups, no selecting around ads, no fighting with modern web clutter.…
- 1
- 2IW
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…
2024 · github.com
- 3BH
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,…
Apr 2026 · github.com
- 4RL
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…
Mar 2026 · github.com
- 5
- 6
RAG-ready web scraping that cuts your LLM token costs
Apr 2026 · geekflare.com
- 7LS
2024 · github.com
- 8CH
2024 · github.com
- 9WE
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…
2025 · andreinwald.github.io
- 10BY
Hi Hacker News, I developed an open source browser extension for summarizing Hacker News articles with OpenAI and Anthropic LLMs. It currently supports Chrome [1] and Firefox [2] (desktop). The extension adds the summarize buttons to the HN front page and article pages. It is bring-your-own-key, i.e. there's no back end behind it and the usage is free, you insert your API key and pay only for tokens to your LLM provider. [1] https://chromewebstore.google.com/detail/hacker-news-tldr/oo... [2]…
2024 · github.com
- 11RL
While working with LLMs for structured web data extraction, we saw issues with invalid JSON and broken links in the output. This led me to build a library focused on robust extraction and enrichment: - Clean HTML conversion: transforms HTML into LLM-friendly markdown with an option to extract just the main content - LLM structured output: Uses Gemini 2.5 flash or GPT-4o mini to balance accuracy and cost. Can also also use custom prompt - JSON sanitization: If the LLM structured output fails or doesn't fully match your schema, a sanitization process attempts to recover and fix the data,…
2025 · github.com
- 12
- 13LA
Lumos is an LLM co-pilot for browsing the web, powered by local LLMs (Ollama). - Summarize long threads on issue tracking sites, forums, and social media sites - Summarize news articles - Ask questions about reviews on business and product pages - Ask questions about long, technical documentation - What else?
2024 · github.com
- 14IJ
Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com
- 15
- 16
- 17BR
Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface
2025 · github.com
- 18LL
Hey HN, I just built an experimental VSCode extension called LLM Debugger. It’s a proof-of-concept that lets a large language model take charge of debugging. Instead of only looking at the static code, the LLM also gets to see the live runtime state—actual variable values, function calls, branch decisions, and more. The idea is to give it enough context to help diagnose issues faster and even generate synthetic data from running programs. Here’s what it does: * Active Debugging: It integrates with Node.js debug sessions to gather runtime info (like variable states and stack traces). *…
2025 · github.com
- 19FO
hi friends! i'm pretty tired of engagement bait and all the political nonsense on my x/twitter feed. i was curious if i could use an llm to filter out these type of content, so i prototyped a quick chrome extension. it uses LLama 3.3 to analyze the tweet through https://groq.com/ (because they are super-super fast). the extension is available in the chrome store, also there is a link to the repo. - you can tweak the system prompt for the filtering - but you need your own API key from Groq (you can get one for free)
2025 · unbaited.danielpetho.com
- 20
- 21LL
What it is A single 45 MB Windows .exe that embeds llama.cpp and a minimal Tk UI. Copy it (plus any .gguf model) to a flash drive, double-click on any Windows PC, and you’re chatting with an LLM—no admin rights, Cloud, or network. Why I built it Existing “local LLM” GUIs assume you can pip install, pass long CLI flags, or download GBs of extras. I wanted something my less-technical colleagues could run during a client visit by literally plugging in a USB drive. How it works PyInstaller one-file build → bundles Python runtime, llama_cpp_python, and the UI into a single PE. On first launch, it…
2025 · github.com
- 22CC
TL;DR: I built a Chrome extension that copies webpage content or YouTube subtitles as clean, clutter-free Markdown with one click (or a shortcut). It even shows the token count, making it super handy for LLM prompts! Hi, HN! I often copy information from the web into my notes (Obsidian) or to feed context to LLMs for summaries/translations. So I built cpdown, a browser extension for this. cpdown lets you convert any webpage/youtube subtitle into clean Markdown and copy it to your clipboard with a single click (or a keyboard shortcut). Here are the key features: * Intelligent…
2025 · github.com
- 23BA
Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…
Jun 2026 · github.com
- 24CC
TL;DR: I built a Chrome extension that copies webpage content or YouTube subtitles as clean, clutter-free Markdown with one click (or a shortcut). It even shows the token count, making it super handy for LLM prompts! Hi, HN! I often copy information from the web into my notes (Obsidian) or to feed context to LLMs for summaries/translations. So I built cpdown, a browser extension for this. cpdown lets you convert any webpage/youtube subtitle into clean Markdown and copy it to your clipboard with a single click (or a keyboard shortcut). Here are the key features: * Intelligent…
2025 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →