Alternatives
Products that do what Provide LLMs markdown documentation of libraries and frameworks does
Hey HN! We realised that LLMs are great at generating code for super popular libraries like React. But they kinda suck at using less popular/newly released libraries, forcing us to stick to established tools and hindering innovation. There is already a standard for creating documentation for LLMs (llmstxt.org), but in my experience the implementations have not been great so far. `llms.txt` works as a good index of the available pages, but in many cases they link to HTML pages. This is a waste for LLMs to parse through (For example, Hono's [best…
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Hi HN, I'm new to Rust and, after half of `The Rust Programming Language` I decided to delve into a project I would actually use: a markdown to html compiler that actually serves my micro-blog (I started just right after publishing the project hehe). The project is intentionally small and one-file contained: I wanted to have the full picture in mind. I'm open to comments, suggestions and PRs. If you asked me more convincing arguments to "why did you do it?" rather than "to learn Rust" I would respond with: LLMs are effectively a new type of web users today and will be more and more present…
Jul 2026 · andreadimatteo.com
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2012 · beautifuldocs.com
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Have been getting tired of having wrong version api docs for building anything with LLMs, just wanted to curate all latest api docs in a single place and also let it be discoverable for others. It is integrated with firecrawl to pull any website data and make it available as md(markdown) file, yet to add bells and whistles or even guardrails to it. But hope you folks find it useful. I had previously built https://github.com/Amal-David/gitbook-downloader but whenever i tried to extend to other docs format, had to write a lot of code so just went with firecrawl for now.…
2024 · docingest.com
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I built a tool that converts GitBook docs into LLM-friendly markdown files. Perfect for feeding technical documentation into ChatGPT, Claude, or custom LLaMA models. GitHub: https://github.com/Amal-David/gitbook-downloader Key features: Downloads complete GitBook documentation sites Converts to clean markdown format Web interface for easy URL input Works with ChatGPT, Claude, and other LLMs Preserves document structure and internal links [Still some bugs here, need to fix it] Will publish a hosted version if there is enough interest. Ideal for: Training custom LLMs with…
2024 · github.com
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We built a browser extension (Chrome + Firefox) that captures the runtime DOM and exports it as JSON. Not the pre-render source (HTML/CSS/JS, templates, bundles) and not a screenshot — but the live, post-render state the browser is actually displaying: - visibility/hidden, disabled/required - current input values and validation/validationMessage - dataset attributes - trimmed text - stable selector paths Why: LLMs often miss or guess UI state. Screenshots are too opaque, pre-render source is too noisy. A structured snapshot gives reproducible context for debugging…
2025
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This app is demonstrating how to support rich-text (markdown) in LLM responses (OpenAI in this case). It's a Nextjs app, with Vercel AI, and remark for handling the formatting.
2023 · llm-markdown.vercel.app
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I wrote my own lightweight markup language, similar to Markdown, that compiles to both HTML5 and LaTeX, supports LaTeX equations (through svgtex, i.e. serverside MathJax), references, captioned figures with semantically correct tag in html, syntax highlighted code blocks, and so on. http://www.dllu.net/programming/dllup/ See the text file written in dllup markup language: http://www.dllu.net/programming/dllup/index.dllu and the PDF and LaTeX versions: http://www.dllu.net/programming/dllup/index.pdf…
2015
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Hey HN! I built Experiment to solve a common frustration in LLM development: the lack of proper tools for prompt engineering experimentation. Here's what makes it different: Key Features: - Load and edit chat completion logs from CSV files - Fork and modify specific conversation entries - Run inference via Anthropic, Mistral, and OpenAI - Define custom tools using JSONSchema format - Visual tool usage analysis with collapsible, sorted key-value pairs - Full mobile support and available as installable PWA Technical Highlights: - Built with React using custom isomorphic architecture -…
2025 · github.com
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I've been working in the couple of months on an experiment, trying to make GPT-4 much more useful for web development / React, writing production code that is relevant to any repository without copy pasta from ChatGPT or having small snippets of auto-complete from Copilot that are not in your context. The agent is taking a user story text and generating and composing multiple react components to generate the relevant screens, based on atomic design principles, with Typescript, TailwindCSS and RadixUI. Is is still experimental but very interesting results, I would like to get your…
2023 · github.com
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I've seen a lot of comments about how complex frameworks like LangChain can be. Over the holidays, I wanted to see how minimal an LLM framework could get if we stripped away everything non-essential. The result is an LLM framework in just 100 lines of code. These 100 lines capture what I see as the core abstraction of most LLM frameworks: a nested directed graph that breaks down tasks into multiple LLM steps, with branching and recursion to enable agent-like decision-making. From there, you can layer on more advanced features like agents, RAG, task decomposition, and more. I’ve intentionally…
2025 · github.com
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I've been using LLMs for long discovery and research chats (papers, repos, best practices), then distilling that into phased markdown (build plan + tests), then handing those phases to Codex/Claude to implement and test phase by phase. The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs. There are other…
Feb 2026 · github.com
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Pre-covid, I was traveling full time to teach ReactJS to corporate clients. My students (mostly developers at banks and insurance companies) would ask me 'What's a good React book?' and I would struggle to recommend something, knowing that all the books sucked or were really out of date. When all my face-to-face training work dried up and I really didn't want to do online training, I magically got a contract to write a book. I started by reading all of the best-selling books on React, and, yeah, they were all really out of date, incomplete, or just wrong. As I started writing what I hoped…
2022
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I built a small guided tour library for React because I couldn’t find a free one that works cleanly with React 19+. It’s lightweight, uses modern React APIs, and is free. Let me know what you think: https://github.com/Aladinbensassi/react-guided-tour
Jan 2026 · github.com
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For the past few months I've been building a lot of things with LLMs (GPT-3, Codex, etc.) as I've been trying to push them to their limits (especially towards applying them to the tabular data domain) When working on this, I've found there are some common patterns for solving problems (templating, chaining, functional-programming style operations, etc.) As I've iterated, I've come to believe that a functional style interface is likely going to power a new wave of systems I'm calling "prompt-machines"(systems where the core new unit of work is a "named" LLM prompt, extending the "function"…
2022 · github.com
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Hi, I’ve been exploring Claude 3.5 code generation abilities for a while and it looks like it can generate more consistent code than other models. However it would still be unmaintainable if you ask it to write a lot of code and it still sucks at system design. So, I’ve been playing around the idea of using the code repository with a template for directory layout and infrastructure, then adding the repository information to Claude and asking it to generate code. It seems that it works, if I pass the structure of some OpenAPI based backend it can update the API definition and implementation…
2024 · github.com
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I built this because I often need clean Markdown from PDFs for writing, documentation, and LLM workflows. Most existing tools either flatten everything into text or rely purely on OCR. I wanted something that preserves structure and is actually usable in Markdown. Feedback welcome.
Jan 2026 · pdftomarkdown.pro
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Hey, folks here is a peek into Jujutsu. We at Poozle are working with hundreds of APIs and it has been always frustrating to 1. Search the API in the documentation or ask ChatGPT 2. Then copy it to the postman and understand/test the API 3. Generate code to integrate into the codebase We thought how about having all of this at one place. We currently fine-tuned LLM on public REST APIs to reduce hallucination and then combined it with ChatGPT and Postman. I look forward to feedback, feature requests and discussions!
2023 · loom.com
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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
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