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How I Built a Second Brain with Karpathy's LLM Wiki: 153 Reports to Living Knowledge Graph When Andrej Karpathy published his LLM Wiki pattern on GitHub Gist in early April 2026, it hit like a revelation. I had already been building a second brain with Obsidian and Claude Code. But something was missing--a systematic way to extract structured knowledge from raw sources. Karpathy's pattern was exactly that missing piece. I took 153 research and sensing reports sitting idle in Obsidian, ran them through the LLM Wiki pipeline, and ended up with 146 source summaries, 48 entity pages, and 29 concept pages--all cross-linked into a living knowledge graph. Here is exactly how I did it, what worked, and what still needs fixing. Karpathy's LLM Wiki GitHub Gist--the blueprint for compile-time knowledge processing. Source: llm-wiki What Is Karpathy's LLM Wiki and Why It Matters LLM Wiki is a knowledge management pattern where an LLM reads raw source documents, extracts ent...

Have you ever had this experience with note-taking apps? You start off really enthusiastic, collecting and organizing information like crazy, but then it gets more and more complicated over time until you eventually just... stop using it? You wanted to create this brilliant second brain, but somewhere along the way it just became a digital trash can for information. I've been consistently using Obsidian myself, but honestly, the information just keeps piling up day after day, and organizing all of it is no joke. Getting information from websites, emails, messages, newsletters, and social media into Obsidian was super easy. But organizing it? That was tougher than I thought. And actually retrieving that information later? Even harder. That's when I discovered  Gemini CLI . This tool helped me solve the fundamental problem of information classification. One YouTube video really convinced me of its potential. Gemini CLI and Obsidian are honestly a perfect match. Since Obsidian man...