Alternatives
Products that do what ZeroJitter does
Stream LLM tokens without layout jitter. Canvas + Web Worker
- 1IB
I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…
2024 · github.com
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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
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RAG-ready web scraping that cuts your LLM token costs
Apr 2026 · geekflare.com
- 5BH
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
- 6LT
2023 · github.com
- 7IB
We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com
- 8RL
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
- 9ΜA
I built µJS because I wanted AJAX navigation without the verbosity of HTMX or the overhead of Turbo. It intercepts links and form submissions, fetches pages via AJAX, and swaps fragments of the DOM. Single tag, one call to `mu.init()`. No build step, no dependencies. Key features: patch mode (update multiple fragments in one request), SSE support, DOM morphing via idiomorph, View Transitions, prefetch on hover, polling, and full HTTP verb support on any element. At ~5KB gzipped, it's smaller than HTMX (16KB) and Turbo (25KB), and works with any backend: PHP, Python, Go, Ruby, whatever.…
Mar 2026 · mujs.org
- 10BR
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
- 11IB
Hey HN -- I'm a solo dev. Built this because I got tired of AI crawlers reading my HTML in plain text while robots.txt did nothing. The core trick: shuffle characters and words in your HTML using a seed, then use CSS (flexbox order, direction: rtl, unicode-bidi) to put them back visually. Browser renders perfectly. textContent returns garbage. On top of that: email/phone RTL obfuscation with decoy characters, AI honeypots that inject prompt instructions into LLM scrapers, clipboard interception, canvas-based image rendering (no img src in DOM), robots.txt blocking 30+ AI crawlers, and…
Mar 2026 · obscrd.dev
- 12ZD
2024 · github.com
- 13KA
Jun 2026 · kyushu.dev
- 14AR
Hey HN, I wanted to share a UI toolkit project I’ve been working on recently, born out of how difficult I found it to build a great UX on top of LLMs, and keep application state in sync. I’ve built: - A React/JS front-end library for conversational interfaces, which makes it super easy to bootstrap AI assistants and ChatGPT style UX: https://github.com/nlkitai/nlux - A set of adapters that simplify integration with AI backends such as LangServe and HuggingFace The library is highly configurable, easy to theme, supports markdown streaming (that was tough to get…
2024 · github.com
- 15PR
Hi HN, While building RAG agents, I noticed a lot of token budget was wasted on formatting overhead (HTML tags, JSON structure, whitespace). Existing solutions felt too heavy (often requiring torch/transformers), so I wrote this lightweight, zero-dependency library to solve it. It includes strategies for context packing, PII redaction, and tool output compression. Benchmarks show it can save ~15% of tokens with negligible latency overhead (<0.5ms). Happy to answer any questions!
Dec 2025 · github.com
- 16SW
Chrome now includes a native on-device LLM (Gemini Nano) starting in version 138. I've been building with it since it was in origin trials, it's powerful but the official Prompt API is still a bit awkward: - Enforces sessions even for basic usage - Requires user-triggered downloads - Lacks type safety or structured error handling So I open-sourced a small TypeScript wrapper I originally built for other projects to smooth over the rough edges: github: https://github.com/kstonekuan/simple-chromium-ai npm: https://www.npmjs.com/package/simple-chromium-ai…
2025 · github.com
- 17LS
2023 · rsc-llm-on-the-edge.vercel.app
- 18IB
After fine-tuning GPT for a personal project, I realized how tedious it is to write plain text in a massive JSON file. That's why I built this app for my own use, and I want to see if others could benefit from a tool like this as well ;)
2024 · finetuna-ui.com
- 19ZD
Hey HN! We just released a new library for building LLM-powered applications: @axflow/models. It is part of a larger suite of libraries we're developing for TypeScript developers working with generative AI. This library provides the simplest APIs for 1) invoking the most popular LLM and embedding models (openai, anthropic, cohere, huggingface, etc.) 2) streaming LLM responses to clients, including augmenting the streams with additional arbitrary data and 3) building client-side applications with React hooks. @axflow/models has zero dependencies and is built using only the…
2023 · docs.axflow.dev
- 20SF
Hi everyone! I'm one of the co-founders of Wonder Interactive, the company behind the SimplyStream platform. We've spent the last several years building out a browser-based platform for developers to deploy their native applications to the web, and today we're showcasing demos of our integration with Unreal Engine. Here are a few highlights: SimplyStream File System for seamless asset streaming Tiny WASM core, full engine power Multi-threaded WebGPU for native-like performance Please see our website for more information such as additional features, pricing, etc.
2024 · simplystream.com
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- 23TP
Hi HN! We launched Codebuff last week, and it gave us a fun idea to try: Twitch plays Codebuff. We rigged up Twitch chat to control an old laptop of ours by sending Codebuff commands. Any chat message prefixed with ‘>’ is interpreted as a command for Codebuff. We’re starting with a blank web app running on localhost. So if you say “> Make the header spin”, then Codebuff will modify the css to make it happen. Codebuff can also run any terminal command (I hope you don’t brick our laptop haha). Yesterday we tested this out with our community and they successfully got Codebuff to add a map of…
2024 · twitch.tv
- 24IB
Hey HN, I built a tiny zero DOM layout engine for vector graphics and custom renderers to resolves nested rows/cols/grids into exact `{x, y, w, h}` boxes, with text measurement, overflow signals, and collision separation. This is to help make SVG, PDF, Canvas responsive. Feedback welcome from anyone building canvas/SVG diagrams, dashboards, node editors, or diagram tools.
Jul 2026 · github.com
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