nowfound

AI · January 10, 2026

I used Claude Code to discover connections between 100 books

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…

I used Claude Code to discover connections between 100 books launched on January 10, 2026 with 524 votes, #17 of 14,584 launches that month and more than 99% of that year's launches.

Visit trails.pieterma.es ↗Alternativestop 1% of January 2026

In plain words

A system that uses Claude Code to analyze connections across 100 non-fiction books and surface thematic links between them. The tool is designed for readers seeking deeper engagement with texts rather than summaries. It works by giving Claude Code access to a command-line interface to explore the library, discovering unexpected patterns and relationships between ideas across different works.

written from the facts on this page · September 2026

From the sources

Thematic links across books, automatically discovered by Claude.

In the maker’s words, at launch

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…

Does a similar job

all alternatives →
  • 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.

  • Use Claude Code to Query 600 GB Indexes over Hacker News, ArXiv, etc.Dec 2025 · exopriors.com · ▲397

    Paste in my prompt to Claude Code with an embedded API key for accessing my public readonly SQL+vector database, and you have a state-of-the-art research tool over Hacker News, arXiv, LessWrong, and dozens of other high-quality public commons sites. Claude whips up the monster SQL queries that safely run on my machine, to answer your most nuanced questions. There's also an Alerts functionality, where you can just ask Claude to submit a SQL query as an alert, and you'll be emailed when the ultra nuanced criteria is met (and the output changes). Like I want to know when somebody posts about…

  • Bench for Claude CodeMar 2026 · bench.silverstream.ai · ▲412

    Store, review, and share your Claude Code sessions

  • CodeRLM – Tree-sitter-backed code indexing for LLM agentsFeb 2026 · github.com · ▲81

    I've been building a tool that changes how LLM coding agents explore codebases, and I wanted to share it along with some early observations. Typically claude code globs directories, greps for patterns, and reads files with minimal guidance. It works in kind of the same way you'd learn to navigate a city by walking every street. You'll eventually build a mental map, but claude never does - at least not any that persists across different contexts. The Recursive Language Models paper from Zhang, Kraska, and Khattab at MIT CSAIL introduced a cleaner framing. Instead of cramming everything into…

  • KG
    Knowledge graph of restaurants and chefs, built using LLMs2025 · theophilecantelob.re · ▲201

    Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…

  • CodeBurn – Analyze Claude Code token usage by taskApr 2026 · github.com · ▲112

    Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 18d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 18d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 20d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 21d ago · stillwet.art

  • Beam.win▲378

    Run AI agents on one Mac and use its windows on another

    AI · 5d ago · beam.win

  • Route requests to the right LLM for cost, latency & quality

    AI · 23d ago · fastrouter.ai

Source: Show HN post ↗ · launch text quoted in part

Launched alongside, January 2026

the whole month →
  • IN

    Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc

    AI · Jan 2026 · cannoneyed.com

  • Cowork▲1,088

    Turn Claude into your digital coworker

    AI · Jan 2026 · claude.com

  • DataFast▲867

    Revenue-first analytics

    Growth · Jan 2026 · datafa.st

  • OpenClaw▲836

    The AI that actually does things

    AI · Jan 2026 · openclaw.ai

  • Automatic AI-powered code reviews the moment you open a PR

    Dev tools · Jan 2026 · kilo.ai

  • AI Content Maker, for Social Media Publishing

    AI · Jan 2026 · postsyncer.com