Alternatives
Products that do what ChartHN – Hacker News' daily top 10, but in diagrams does
For those who are interested in ChartHN's tech stack, here's a brief list: - HTML to markdown: Jina AI Reader - Markdown to Graphviz DOT: LLMs - Graphviz DOT to SVG: Viz.js - Data Storage: TSV files - Document updating: GitHub Actions - Frontend: HTML + CSS + Vanilla JS There are also side tools linked at the bottom of the ChartHN page: - a web tool to convert any page to a diagram - a visual benchmark to compare the performance of LLMs in generating Graphviz DOT data To fit Graphviz DOT data within a TSV file and reduce file size, I have also developed dot-minify…
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Many JS libraries exist to build graphs on the web (Vega, chartJS, Plotly...). They allow to make charts quickly. But you lose flexibility: you're limited by the options they offer. I just created a gallery with hundreds of graphs made with d3.js and React. - Examples are split by graph types - They all come with explanation and code sandboxes - Gradual complexity to ease the learning curve It took me ages to create this project! Feedback welcome!
2023 · react-graph-gallery.com
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2020 · rbitr.github.io
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Inspired by the design and UI/UX of apps like Notion, and utility of open-source apps like StackEdit, I decided to create a minimalistic, local-only WYSIWYG Markdown editor. Some features worth highlighting: - Monaco editor and Prettier integration for code snippets - Tables (apparently the holy grail of WYSIWYG editing) - Embeds (for CodePen, CodeSandbox and YouTube, most useful for HTML or JSON exports) - Accepts Markdown paste-in, and "exports"/generates HTML, Markdown and JSON outputs - Collaboration (with real-time awareness and initial commenting system, available only when…
2023 · editor.vrite.io
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Hey HN! I originally built “html-to-markdown” back in 2018 (while still in high school) to handle complex HTML conversions where other libraries struggled. Now, I’ve released v2 — a complete rewrite designed to handle even more edge cases. It supports entire websites with a high accuracy. Example use: I’ve used it in my RSS reader to strip HTML down to clean Markdown, similar to the "Reader Mode" in your Browser. It can be used as a Golang package or as an CLI. Give it a try & tell me what edge cases you encounter!
2024 · github.com
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RAG-ready web scraping that cuts your LLM token costs
Apr 2026 · geekflare.com
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Ferrite: Fast Markdown/Text/Code editor in Rust with native Mermaid diagrams Built a Markdown editor using Rust + egui. v0.2.1 just dropped with major Mermaid improvements: → Native Mermaid diagrams - Flowcharts, sequence, state, ER, git graphs - pure Rust, no JS → Split view - Raw + rendered side-by-side with sync scrolling → Syntax highlighting - 40+ languages with large file optimization → JSON/YAML/TOML tree viewer - Structured editing with expand/collapse → Git integration - File tree shows modified/staged/untracked status Also: minimap, zen mode,…
Jan 2026 · github.com
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2024 · github.com
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MD+HTML Reader▲117Review AI-generated Markdown and HTML in a focused workspace
Jun 2026 · mdhtmlreader.com
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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
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In the past I've used declarative diagram generation tools like Mermaid.js a lot for quickly drawing up things but for presentations or deliverables I find that I have to then move the generated diagrams over to a tool like Lucidchart which allows full control of the organization and customization. Therefore I am now working on this to combine the benefits of both into just one tool which can do both functions. The project is certainly in the early stages but if you find yourself making architecture diagrams I'd love to hear your thoughts on the idea or even a Github issue for a feature…
Oct 2025 · github.com
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2022 · github.com
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2024 · columns.ai
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Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app
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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
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Using wasm-bindgen, and the tween-rs crate
2024 · rustween.mtassoumt.uk
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Convert your vector embeddings into a set of questions and their ideal responses. Use this dataset to test your LLM and catch failures caused by prompt or RAG updates. Get started in 3 lines of code: ``` pip3 install fiddlecube ``` ``` from fiddlecube import FiddleCube fc = FiddleCube(api_key="") dataset = fc.generate( [ "The cat did not want to be petted.", "The cat was not happy with the owner's behavior.", ], 10, ) dataset ``` Generate your API key: https://dashboard.fiddlecube.ai/api-key # Ideal QnA datasets for testing, eval and training LLMs Testing, evaluation or…
2024 · github.com
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2024 · github.com
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