Beautiful interactive explainers generated with Claude Code

In plain words

This tool uses Claude Code to generate interactive visual explainers on complex topics like Fourier transforms, cellular automata, and scaling laws in biology. Created for people wanting to understand difficult concepts through animated, illustrated web pages, it produces polished explainers with minimal prompting. The system stress-tests frontier AI models to create explanation pages nearly from scratch, with built-in verification and testing through headless browser automation to catch errors in animations and logic.

written from the facts on this page · September 2026

From the sources

Generating interactive explainers on interesting topics using AI, inspired by the beautiful explainers.blog . Because you don't really understand something until you can play with it. Thermodynamic computing, p-bits, and the race to build AI hardware that wastes less power moving bits around. The 20-watt computer in your skull runs on a handful of design principles. Explore the economics of brains and why evolution shaped neurons the way it did. How random projections tame the chaos of high dimensions. Explore the Johnson–Lindenstrauss Lemma and why squashing data with pure noise actually works. Can the whole really control its parts? Explore top-down causation — how…from paraschopra.github.io

In the maker’s words, at launch

Hello HN, Recently an amazingly beautiful explainer was shared on HN: https://explainers.blog/posts/why-is-the-sky-blue/ I loved it so much that I wished more topics were explained that way. So, I decided to stress-test today's frontier models (Opus 4.6 in Claude Code) to generate similar…

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  Claude Code and Claude 3.7 Sonnet 2025 · anthropic.com · ▲875

  Claude Opus 4.7 is Anthropic's most capable generally available model, released April 16, 2026. It outperforms Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on key benchmarks including agentic coding, multidisciplinary reasoning, scaled tool use, and agentic computer use. It is benchmarked below Claude Mythos Preview — which remains restricted to Project Glasswing partners. https://vucense.com/ai-intelligence/ai-tools/claude-opus-4-7...

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  The load-bearing vocabulary of ClaudeAug 2026 · louisabraham.github.io · ▲710
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  1CodeJan 2026 · github.com · ▲569

  Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…

• HL
  How LLMs Work – Interactive visual guide based on Karpathy's lectureApr 2026 · ynarwal.github.io · ▲245

  All content is based on Andrej Karpathy's "Intro to Large Language Models" lecture (youtube.com/watch?v=7xTGNNLPyMI). I downloaded the transcript and used Claude Code to generate the entire interactive site from it — single HTML file. I find it useful to revisit this content time to time.

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  I used Claude Code to discover connections between 100 booksJan 2026 · trails.pieterma.es · ▲524

  I think LLMs are overused to summarise and underused to help us read deeper. I built a system for Claude Code to browse 100 non-fiction books and find interesting connections between them. I started out with a pipeline in stages, chaining together LLM calls to build up a context of the library. I was mainly getting back the insight that I was baking into the prompts, and the results weren't particularly surprising. On a whim, I gave CC access to my debug CLI tools and found that it wiped the floor with that approach. It gave actually interesting results and required very little orchestration…

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  Imagine with Claude2025 · claude.ai · ▲210

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