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You can learn everything about Obsidian by spending 36 mins with this video. Most people fail with Obsidian for one reason: They spend more time building the perfect system than actually learning. Key takeaways: • Obsidian is a thinking tool, not a note-taking app • Simplicity beats plugin overload...

52,777 görüntüleme • 23 gün önce •via X (Twitter)

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Be Smart as Karpathy Andrej Karpathy with Teamily AI 🧠 Your Personal Knowledge Base: ✅ Built in One Chat. 📈 Compounded via Conversations. Karpathy’s insight is spot on ( It attracts 10 million views in a few days. The idea is simple: AI should build personal knowledge from everything you feed it, so it stops rediscovering things from scratch like a Retrieval-Augmented Generation (RAG). But here’s the reality — most people aren’t Stanford PhD-level geeks like Karpathy. For the rest of us, operating a hacky collection of scripts and tools (Obsidian Web Clipper, Marp, Dataview, etc.) as seen in Karpathy’s idea file is far too complex ( The Internet needs an intuitive product where a personal knowledge base is a persistent, compounding artifact — one that grows alongside the content you consume, the contexts you inhabit, and the questions you ask. Teamily AI ( is the answer. The conversation IS the knowledge base. It’s an AI-native messenger where AI teammates join your chats. They remember your past discussions, your preferences, and your team’s context — getting smarter the more you talk. No setup. No complicated workflows. Just text as you normally do. Whether you’re saving articles and videos, brainstorming at work, or collaborating with colleagues, your AI teammates are right there. They listen, remember, and help — not from scratch every time, but by building a personal knowledge graph of everything you’re involved in. In essence, your knowledge compounds automatically. ✨ The user experience is effortless. Whenever you need a well-organized view of your data, just ask the "Personal AI" at the top of the Teamily window: "Visualize my personal knowledge base" Want to customize the style or indexes? Just chat with it. You define how you manage your knowledge. Our co-founder Aiden has prepared a short video to show you just how easy it is. 📽️

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THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

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Tiago Forte has pioneered the concept of a Second Brain. As the author of two books, he's learned that quantity and quality aren't opposing forces. Here's what else he's taught me about writing: 1. The brain is for having ideas, not storing them. Write stuff down. 2. If you really want to learn something, don't just consume information. Create something about it. 3. Note-taking is a form of time-travel. You don’t just take notes to remember ideas. You also take notes to remember experiences. Reading your notes takes you back to a different state of consciousness. Note-taking is a rebellion against the entropy of memory. 4. Save only the best notes: Don't hoard information. Save only the top 5-10% of your ideas. That way, you can trust that everything in your note-taking system is high-quality. 5. Tiago’s dad is an artist who taught him an important lesson: the energy to create art can dissipate in small, invisible ways if you let it. Set up a structure where you have the peace of mind and the bandwidth to do art. 6. The ultimate goal of note-taking is to improve your ideas. Too many people treat note-taking as an end in itself. But the goal of note-taking isn’t to save information. It’s to have ideas you wouldn’t have had otherwise. To be smarter, faster, and more creative. 7. Link notes together. Organize your ideas by topic, not by source. As you browse your note-taking system, consider the serendipity you want to create for your future self. For example, if you read two books about a topic, link those notes together. 8. In school, we’re taught to research before we write. Do the opposite. Compile notes over time. Then, once you have an idea, start writing immediately — right when you have an epiphany. Start researching after you've written a draft. 9. Create evergreen notes. Like a good investment, the benefits of your note-taking system should compound in value. Save ideas that will stay relevant for many years. Read the classics, skip the news. 10. Tiago publicly tested every idea in his book. For most, the internet is a blackhole of distraction. But it can instead be used as a place to do low-stakes experiments before you go all in. 11. The more expensive the location for a writer's retreat, the more it forces you to be productive. 12. "Be regular and orderly in your life, so that you may be violent and original in your work." — Gustave Flaubert, one of Tiago's favorite quotes. 13. The less formal and “official” a software program feels, the better Tiago writes. And he believes some of the best turns of phrase come out in messaging apps with friends. Stuck on something? Close the word doc and text a friend about it. 14. Every time you compress an idea, you make it more accessible. But you also lose context, depth, and nuance. 15. The ultimate test of how well you understand something is how clearly you can explain it in writing — clear writers are clear thinkers. 16. Twitter can help too. Stuck on a paragraph while writing your book? Well, send a tweet about it. If the idea resonates, bring it into your book. 17. Too many choices can cloud our creative process. The key to making progress is knowing when to take in new information and when to shut off all sources of distraction. Divergence and Convergence. 18. Anything you might want to accomplish—executing a project at work, getting a new job, learning a new skill, starting a business—requires finding and putting to use the right information. 19. Instead of working in “Heavy Lifts,” you can work in “Slow Burns.” Taking notes makes you less dependent on those long blocks of creative time you need when you have to complete creative projects in a single sitting. 20. Tiago: “If I could leave you with one last bit of advice, it is to chase what excites you.” 21. A bonus: “Run after your obsessions with everything you have. Just be sure to take notes along the way.” I've shared the full conversation with Tiago Forte here. If you'd rather listen on YouTube, Spotify, or Apple, check out the replies below.

David Perell

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how to use obsidian + claude code to build a 24/7 personal operating system and build your startup: 1. write everything in markdown (daily notes, projects, beliefs, people, meetings) 2. link your notes together so they mirror how your brain actually thinks. 3. install obsidian cli so claude code can read your entire vault + the relationships. 4. stop reexplaining projects every session. use reference files instead. 5. build custom slash commands: /context → load your full life + work state /trace → see how an idea evolved over months /connect → bridge two domains you’ve been circling /ideas → generate startup ideas from your vault /graduate → promote daily thoughts into real assets 6. keep a strict rule: human writes the vault. agents read it, suggest, execute. 7. let claude aka clode surface patterns you’ve been unconsciously circling for years. 8. delegate from inside your notes. one sentence in obsidian → agent handles the rest. 9. treat writing as leverage.the more you write, the more context your agents have. 10. understand this:markdown files are the oxygen of llms. i really enjoyed seeing how to use obsidian thanks to internetVin vin uses ai like a thinking partner wired into his life’s work. 99.99% of people won’t do this because it requires reflection + setup. but once the vault exists, the agent stops being generic. it starts thinking in your voice. episode is live on The Startup Ideas Podcast (SIP) 🧃 (more there) this one is different. send this tweet to a friend. im still processing how game changer obsidian + claude code is, maybe you too watch

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99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

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