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THIS FOUNDER JUST WIRED HIS ENTIRE DIGITAL CONSCIOUSNESS INTO A SELF-IMPROVING AI LOOP. Your Second Brain is probably just a graveyard of dead links and forgotten Notion pages. You save articles you never read and write ideas you instantly lose. Human memory does not scale, and manual organization is... a massive waste of time. This system fixes the bottleneck by turning a passive database into an active, autonomous cognitive engine. He integrated Tiago Forte’s PARA organization with Andrej Karpathy’s LLM Wiki concept—but removed the human element entirely. By giving OpenClaw terminal access, the AI acts as a 24/7 librarian. Every single day, the agent silently sweeps his local files. It captures his random thoughts, the articles he reads, and the projects he finishes. Without any manual tagging, Claude categorizes the raw data, maps the hidden connections, and distills it into a massive, interconnected knowledge graph. When he sits down to work, the context is already built. The ultimate leverage is the flywheel effect. The moment he creates and publishes a new project, the AI ingests that final output right back into the system. The more he works, the denser the graph becomes, and the smarter the AI gets at replicating his exact thought process. He stopped managing his files and started compounding his intelligence.show more

kyrox

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50,008 次观看 • 1 个月前 •via X (Twitter)

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A DEVELOPER CONNECTED CLAUDE CODE TO OBSIDIAN SO HIS AI AGENT WOULD STOP FORGETTING THE PROJECT EVERY MORNING. Every coding session used to start the same way. Claude would understand the repo, fix the bug, explain the architecture, and then the moment the session ended, all of that context disappeared. Same codebase. Same decisions. Same architecture. Same mistakes repeated again. So he added a memory layer. Instead of treating Claude Code like a smart terminal, he connected it to a local Obsidian vault through MCP. Now Claude can read the repo, open the vault, create notes, link concepts, and write important decisions back into the system. When it studies the codebase, it does not just answer once and forget. It creates notes for the major services, maps how the architecture works, links auth to the database, connects APIs to storage, and records why certain migrations or design choices exist. Obsidian becomes the project graph. Now when he asks why something was built a certain way, Claude does not guess from the current prompt. It reads the decision notes. When he starts a new branch, Claude checks the active context file. When the work is done, it updates what changed, what is blocked, and what the next agent needs to know before touching the repo. That is the real loop: read context, write code, capture decisions, update memory. Most people are still using AI coding tools like disposable chat windows. Ask, patch, close, forget. This setup turns Claude Code into infrastructure. The repo gets a memory layer that survives every session, and multiple AI agents can work from the same project map without stepping on each other. The unlock is not better prompting. The unlock is giving the agent somewhere to remember what it already learned.

A DEVELOPER CONNECTED CLAUDE CODE TO OBSIDIAN SO HIS AI AGENT WOULD STOP FORGETTING THE PROJECT EVERY MORNING. Every coding session used to start the same way. Claude would understand the repo, fix the bug, explain the architecture, and then the moment the session ended, all of that context disappeared. Same codebase. Same decisions. Same architecture. Same mistakes repeated again. So he added a memory layer. Instead of treating Claude Code like a smart terminal, he connected it to a local Obsidian vault through MCP. Now Claude can read the repo, open the vault, create notes, link concepts, and write important decisions back into the system. When it studies the codebase, it does not just answer once and forget. It creates notes for the major services, maps how the architecture works, links auth to the database, connects APIs to storage, and records why certain migrations or design choices exist. Obsidian becomes the project graph. Now when he asks why something was built a certain way, Claude does not guess from the current prompt. It reads the decision notes. When he starts a new branch, Claude checks the active context file. When the work is done, it updates what changed, what is blocked, and what the next agent needs to know before touching the repo. That is the real loop: read context, write code, capture decisions, update memory. Most people are still using AI coding tools like disposable chat windows. Ask, patch, close, forget. This setup turns Claude Code into infrastructure. The repo gets a memory layer that survives every session, and multiple AI agents can work from the same project map without stepping on each other. The unlock is not better prompting. The unlock is giving the agent somewhere to remember what it already learned.

DegenCalls

20,124 次观看 • 2 个月前

A GUY MAKING $100K/MONTH WITH AI JUST SHOWED HIS ENTIRE SETUP. IT'S ONE FOLDER OF NOTES AND NOTHING ELSE no framework. no $500 course. he opens his screen and it's just obsidian - a plain notes app - wired into claude here's what he did: -> he pulled claude's memory files out of their default folder and dumped them into one vault -> had claude rename and merge them: 107 messy files collapsed into 17 clean ones -> every folder gets one master note that links to all the others that last part is the whole trick the agent reads the master note, follows the links and by the time it's done it has read every file in the folder. one instruction, full context here's the part most people miss: everyone's trying to make the AI smarter. he made the AI's memory smaller fewer files, better organized, all linked. the agent isn't scanning hundreds of notes anymore - it walks a path you built that's why his agent actually finishes jobs instead of forgetting what it was doing halfway through then he goes one step further: at the end of every session, the agent writes its own daily note. what it did, when, indexed at the top so it can find it again in seconds so he never re-explains anything. the agent looks up what it already did now he types "create a campaign for this offer" and walks away. it reads the product notes, reads the process notes, and comes back with the campaign done you don't need any of the complicated agent tools people are selling you. you need structure and instructions save this. the people winning with AI aren't using better models. they're just the only ones who bothered to organize what it remembers

A GUY MAKING $100K/MONTH WITH AI JUST SHOWED HIS ENTIRE SETUP. IT'S ONE FOLDER OF NOTES AND NOTHING ELSE no framework. no $500 course. he opens his screen and it's just obsidian - a plain notes app - wired into claude here's what he did: -> he pulled claude's memory files out of their default folder and dumped them into one vault -> had claude rename and merge them: 107 messy files collapsed into 17 clean ones -> every folder gets one master note that links to all the others that last part is the whole trick the agent reads the master note, follows the links and by the time it's done it has read every file in the folder. one instruction, full context here's the part most people miss: everyone's trying to make the AI smarter. he made the AI's memory smaller fewer files, better organized, all linked. the agent isn't scanning hundreds of notes anymore - it walks a path you built that's why his agent actually finishes jobs instead of forgetting what it was doing halfway through then he goes one step further: at the end of every session, the agent writes its own daily note. what it did, when, indexed at the top so it can find it again in seconds so he never re-explains anything. the agent looks up what it already did now he types "create a campaign for this offer" and walks away. it reads the product notes, reads the process notes, and comes back with the campaign done you don't need any of the complicated agent tools people are selling you. you need structure and instructions save this. the people winning with AI aren't using better models. they're just the only ones who bothered to organize what it remembers

Paone

23,833 次观看 • 1 个月前

A guy in China plugged an LLM into Karpathy method + Claude Code and built a second brain that remembers everything forever. Not a note app, not RAG just 3 folders on a laptop. Folder 1 holds raw sources: articles, journal entries, chat logs. The LLM reads them but never touches them. Folder 2 is the wiki hundreds of markdown pages the LLM writes and maintains itself, where every person, idea and decision gets filed, cross-referenced and kept current. Folder 3 is one file: CLAUDEmd, the rulebook that turns a chatbot into a librarian. He drops in a new article and Claude reads it, updates 10-15 pages, flags what contradicts his old notes, logs the timestamp while he watches his memory grow node by node in Obsidian graph view. Ask it anything and it doesn’t dig through raw files like ChatGPT does the synthesis already exists, the connections are already drawn. The method comes from a gist Karpathy posted on April 4, now sitting at 5,000 stars and 5,000 forks, with 1 production team already scaled to 4,000 interlinked concepts in 6 months. The part nobody mentions: Vannevar Bush described this exact machine in 1945 the Memex, a personal memory store with trails between documents. Nobody built it for 81 years because someone had to do the maintenance. Now maintenance costs nothing the LLM does the filing while the human does the thinking. Every article makes the brain smarter, and it never forgets. His memory has a git history now.

A guy in China plugged an LLM into Karpathy method + Claude Code and built a second brain that remembers everything forever. Not a note app, not RAG just 3 folders on a laptop. Folder 1 holds raw sources: articles, journal entries, chat logs. The LLM reads them but never touches them. Folder 2 is the wiki hundreds of markdown pages the LLM writes and maintains itself, where every person, idea and decision gets filed, cross-referenced and kept current. Folder 3 is one file: CLAUDEmd, the rulebook that turns a chatbot into a librarian. He drops in a new article and Claude reads it, updates 10-15 pages, flags what contradicts his old notes, logs the timestamp while he watches his memory grow node by node in Obsidian graph view. Ask it anything and it doesn’t dig through raw files like ChatGPT does the synthesis already exists, the connections are already drawn. The method comes from a gist Karpathy posted on April 4, now sitting at 5,000 stars and 5,000 forks, with 1 production team already scaled to 4,000 interlinked concepts in 6 months. The part nobody mentions: Vannevar Bush described this exact machine in 1945 the Memex, a personal memory store with trails between documents. Nobody built it for 81 years because someone had to do the maintenance. Now maintenance costs nothing the LLM does the filing while the human does the thinking. Every article makes the brain smarter, and it never forgets. His memory has a git history now.

West Lord

61,701 次观看 • 1 个月前

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

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

58,186 次观看 • 2 个月前

Yuval Harari, a WEF advisor, gives a stunning interview that exposes the elite's fatal AI hypocrisy. He just doesn't see his own name on the list. He wasn't speaking from a WEF podium, but his message is a direct indictment of the very system he advises. He states plainly: AI is not a tool; it's an agent. It will be the first "real competition" humanity has ever faced. But his most damning point is about how it learns. Let's decode his polite academic language: ➤ "You cannot expect to lie and cheat and have benevolent AI." This isn't a general warning. It's a specific diagnosis of the elite ecosystem. The AI will be raised by the same class that operates on "do as I say, not as I do." ➤ "It matters far more what you do." The AI will see the "sustainable" private jets. It will process the closed-door deals. It will learn from the censorship and the narrative control. It will inherit a world shaped by these actions, not our PR statements. ➤ His warning that "the AI will copy your behavior" is a confession. He admits the "parents" of this new intelligence—the tech giants and globalist leaders he counsels—are morally unfit for the task. The terrifying truth Harari unveils is this: The existential risk isn't a random AI gone bad. It's an AI that perfectly mirrors the values of its creators—a system built on centralized control, unaccountable power, and justified deception. He's an advisor to the architects of this future, warning us that the architects are the problem. The ultimate alignment problem isn't with the AI, but with the elite human nature it is destined to replicate.

Yuval Harari, a WEF advisor, gives a stunning interview that exposes the elite's fatal AI hypocrisy. He just doesn't see his own name on the list. He wasn't speaking from a WEF podium, but his message is a direct indictment of the very system he advises. He states plainly: AI is not a tool; it's an agent. It will be the first "real competition" humanity has ever faced. But his most damning point is about how it learns. Let's decode his polite academic language: ➤ "You cannot expect to lie and cheat and have benevolent AI." This isn't a general warning. It's a specific diagnosis of the elite ecosystem. The AI will be raised by the same class that operates on "do as I say, not as I do." ➤ "It matters far more what you do." The AI will see the "sustainable" private jets. It will process the closed-door deals. It will learn from the censorship and the narrative control. It will inherit a world shaped by these actions, not our PR statements. ➤ His warning that "the AI will copy your behavior" is a confession. He admits the "parents" of this new intelligence—the tech giants and globalist leaders he counsels—are morally unfit for the task. The terrifying truth Harari unveils is this: The existential risk isn't a random AI gone bad. It's an AI that perfectly mirrors the values of its creators—a system built on centralized control, unaccountable power, and justified deception. He's an advisor to the architects of this future, warning us that the architects are the problem. The ultimate alignment problem isn't with the AI, but with the elite human nature it is destined to replicate.

Camus

35,193 次观看 • 10 个月前

THE OBSIDIAN GRAPH IS NOT A PRETTY NOTE MAP, IT IS A SELF-MAINTAINING AI WIKI THAT CAN TURN 120 SAVED SOURCES INTO 700 LINKED PAGES WHILE YOU ONLY KEEP ADDING NEW MATERIAL 00:11 the graph opens and the trick becomes obvious: every dot is a saved idea, every cluster is a topic, and every line is context the AI no longer has to rebuild from scratch every morning most people use chatgpt like a disposable memory slot. they upload 1 pdf, ask 3 questions, close the tab, and the next day the model knows nothing unless they feed it the same context again karpathy’s LLM wiki pattern changes the game. the model reads each new source, pulls out claims, updates old pages, creates entity files, links concepts, and marks places where newer info breaks older notes with claude code and obsidian, a single clipped article can expand into 8-20 markdown files: source summary, concept pages, people, tools, comparisons, open questions, and a running index after 60 sources, this is no longer “note taking.” it becomes a private research machine that remembers your old thinking, catches repeated angles, and gives you cited answers from your own archive bookmark this before your notes turn into a graveyard again

THE OBSIDIAN GRAPH IS NOT A PRETTY NOTE MAP, IT IS A SELF-MAINTAINING AI WIKI THAT CAN TURN 120 SAVED SOURCES INTO 700 LINKED PAGES WHILE YOU ONLY KEEP ADDING NEW MATERIAL 00:11 the graph opens and the trick becomes obvious: every dot is a saved idea, every cluster is a topic, and every line is context the AI no longer has to rebuild from scratch every morning most people use chatgpt like a disposable memory slot. they upload 1 pdf, ask 3 questions, close the tab, and the next day the model knows nothing unless they feed it the same context again karpathy’s LLM wiki pattern changes the game. the model reads each new source, pulls out claims, updates old pages, creates entity files, links concepts, and marks places where newer info breaks older notes with claude code and obsidian, a single clipped article can expand into 8-20 markdown files: source summary, concept pages, people, tools, comparisons, open questions, and a running index after 60 sources, this is no longer “note taking.” it becomes a private research machine that remembers your old thinking, catches repeated angles, and gives you cited answers from your own archive bookmark this before your notes turn into a graveyard again

Gipp 🦅

41,728 次观看 • 2 个月前

This guy runs his entire marketing department out of folders and markdown files. No code or crazy automations. He calls it CMOHQ, it works with any AI (Claude, ChatGPT, Hermes, Codex), and he sells the whole thing as a zip file. He went 3 weeks without opening his laptop and the business kept running. Justin Brooke ❤️‍🔥 is back on the pod to walk us through the entire system. Here's what I learned: 1. The whole OS is folders and markdown files. He tried n8n, LangChain, and CrewAI. Too technical for a copywriter. 2. One HQ folder for who you are. One folder per brand with intelligence, departments, and metrics inside. Say "work in the FaithFunnels brand" and Claude switches context. 3. He built the finance folder from a YouTube transcript. It ingests ThriveCart, Kit, Google Ads, and Zeni exports and auto-generates max CPA, spend ceilings, and dashboards. 4. Build it in iCloud, not on a Mac Mini. It's just text files. Phone, laptop, office, same brain. 5. Nothing skips the pipeline. Pope mentions "digital sobriety," Claude writes the article, he approves, it publishes to Ghost via MCP with an ElevenLabs audio version. 6. Reporting is wired in through MCPs. Kit, Google Analytics, Microsoft Clarity. Clicks to leads to sales, plus a monthly P&L drop. 7. He uses Claude Cowork, not Claude Code. 90% of the features, and his work is mostly writing anyway. 8. Start with Jobs To Be Done. Every job becomes a folder. Every folder gets instructions. 9. Delivery is the product. The zip holds an ops manual and an installer.md that interviews the buyer and builds their system. Zero onboarding calls. 10. If they want to build it themselves, they're not your customer. Millionaires look at the system and say "can I just pay you?" His 2 key takeaways: 1. Every agent needs three things: memory, instructions, and tools. Get those right and you can replicate any process in any business. 2. Stop doing sales calls on the fly. Run a slide deck, tweak one slide per call, and by call five it's dialed in and trainable. That's how you get out of sales. Justin has been marketing for 20 years and this is the simplest AI operating system I've seen. Go follow Justin Brooke ❤️‍🔥 Full video below. (Also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

13,753 次观看 • 1 个月前

Andrew Wilkinson owns 40+ businesses. He just showed me how he's using OpenClaw, Claude Code and AI agents to run latest business, start new ones, and automate everything. Here's what I learned: 1. In December 2025, something clicked. He started waking up at 3AM with a smile, sitting in terminal with 10 Claude Code tabs open. He hasn't stopped since. He calls it chasing the dragon. 2.He built a full SaaS product called Deep Personality. A 40-minute personality test that generates a 100-page report written like Robert Greene. $20 000 in revenue. Zero employees. The entire business runs on AI agents. 3. He has agents for support, marketing, and dev. When a support ticket comes in, the agent either handles it or sends it to the dev agent. If it's critical, the agent fixes the bug and merges the PR before he wakes up. Then it emails the customer back. 4. His marketing agent is connected to PostHog, manages Meta and Reddit ads, creates ad creative, runs multivariate tests, and sets budgets. He's about to give it a $100 k/month ad budget and see what happens. 5. He forgot his laptop on a trip to Arizona. He ran his entire business from the back of Ubers using OpenClaw. Nobody picked up that every single email was written by AI. 6. His take on vibe coding: the worst part about business is people. Between your vision and execution are 100 people you have to convince. Vibe coding removes all of them. For the first time he can do every part of building a product himself. 7. He was trying to build OpenClaw before OpenClaw existed. Now he uses a tool called Harbor, which is basically a GUI for managing multiple agents. You can see all your agents, their status, knowledge bases, and databases in one place. 8. He built a custom AI for his relationship. He and his girlfriend took 15 psychological tests, put the results into ChatGPT, and asked it to analyze their relationship. It nailed every fight they've ever had. That became the product idea for Deep Personality. 9. His honest take: he spends 50% of his time debugging, 30% improving the setup, and 20% being productive. It's a treadmill. But the 20% that works is so powerful he can't stop. 10. His prediction: we're 3-6 months from being able to hand basic businesses off to AI to run entirely. And pretty soon Anthropic and OpenAI are going to launch AI CEOs. This is an inside look at how a serious operator Andrew Wilkinson is using AI agents in the real world. The good, the bad, the debugging, all of it. Most people don't show you this. Episode is live on The Startup Ideas Podcast (SIP) 🧃 watch

Andrew Wilkinson owns 40+ businesses. He just showed me how he's using OpenClaw, Claude Code and AI agents to run latest business, start new ones, and automate everything. Here's what I learned: 1. In December 2025, something clicked. He started waking up at 3AM with a smile, sitting in terminal with 10 Claude Code tabs open. He hasn't stopped since. He calls it chasing the dragon. 2.He built a full SaaS product called Deep Personality. A 40-minute personality test that generates a 100-page report written like Robert Greene. $20 000 in revenue. Zero employees. The entire business runs on AI agents. 3. He has agents for support, marketing, and dev. When a support ticket comes in, the agent either handles it or sends it to the dev agent. If it's critical, the agent fixes the bug and merges the PR before he wakes up. Then it emails the customer back. 4. His marketing agent is connected to PostHog, manages Meta and Reddit ads, creates ad creative, runs multivariate tests, and sets budgets. He's about to give it a $100 k/month ad budget and see what happens. 5. He forgot his laptop on a trip to Arizona. He ran his entire business from the back of Ubers using OpenClaw. Nobody picked up that every single email was written by AI. 6. His take on vibe coding: the worst part about business is people. Between your vision and execution are 100 people you have to convince. Vibe coding removes all of them. For the first time he can do every part of building a product himself. 7. He was trying to build OpenClaw before OpenClaw existed. Now he uses a tool called Harbor, which is basically a GUI for managing multiple agents. You can see all your agents, their status, knowledge bases, and databases in one place. 8. He built a custom AI for his relationship. He and his girlfriend took 15 psychological tests, put the results into ChatGPT, and asked it to analyze their relationship. It nailed every fight they've ever had. That became the product idea for Deep Personality. 9. His honest take: he spends 50% of his time debugging, 30% improving the setup, and 20% being productive. It's a treadmill. But the 20% that works is so powerful he can't stop. 10. His prediction: we're 3-6 months from being able to hand basic businesses off to AI to run entirely. And pretty soon Anthropic and OpenAI are going to launch AI CEOs. This is an inside look at how a serious operator Andrew Wilkinson is using AI agents in the real world. The good, the bad, the debugging, all of it. Most people don't show you this. Episode is live on The Startup Ideas Podcast (SIP) 🧃 watch

GREG ISENBERG

144,005 次观看 • 4 个月前

Analyst: The idea that Donald Trump was going to unrig the system and drain the swamp was central to his message. And he has done nothing but double down on the notion that the system exists for and by the elites, whether it is the affordability crisis, the tariffs, immigration enforcement that is terrorizing a large portion of this country. And then you have his behavior around the Epstein files.

Analyst: The idea that Donald Trump was going to unrig the system and drain the swamp was central to his message. And he has done nothing but double down on the notion that the system exists for and by the elites, whether it is the affordability crisis, the tariffs, immigration enforcement that is terrorizing a large portion of this country. And then you have his behavior around the Epstein files.

FactPost

16,191 次观看 • 6 个月前

Obsidian + Claude Code is how Andrej Karpathy turns 15 years of notes into a brain that works while he sleeps. The method behind it costs $0 and takes 5 minutes a day and it outlived every productivity app since 2011. Every idea, link, and half-thought gets appended to the top of a single note, with no sorting, no folders, no tags. Once a week he scrolls through, and anything that still matters gets copied back to the top. Weak ideas sink. Strong ideas resurface 5, 10, 20 times and by the 20th pass your brain has already wired them into everything else you know. Repetition as a filter. That's the whole system. Now the 2026 upgrade almost nobody is running: Drop that note into an Obsidian vault and open the folder with Claude Code not the chat app, the terminal agent that reads files. 3 commands change everything: read my last 30 days of notes and find the 3 ideas I keep circling without acting on link every note mentioning this project into a CLAUDE.md of what I actually believe about it draft this week's post from the idea that resurfaced most Claude Code doesn't search your vault it walks it, follows the wikilinks, and hands you the patterns you were too close to see. Karpathy method filters the signal, Obsidian stores it, Claude Code compounds it. One is a habit, one is a folder, one is $20 a month together they're the closest thing to a second brain that thinks back. Most people collect notes for 10 years and never read them once. His notes read him.

Obsidian + Claude Code is how Andrej Karpathy turns 15 years of notes into a brain that works while he sleeps. The method behind it costs $0 and takes 5 minutes a day and it outlived every productivity app since 2011. Every idea, link, and half-thought gets appended to the top of a single note, with no sorting, no folders, no tags. Once a week he scrolls through, and anything that still matters gets copied back to the top. Weak ideas sink. Strong ideas resurface 5, 10, 20 times and by the 20th pass your brain has already wired them into everything else you know. Repetition as a filter. That's the whole system. Now the 2026 upgrade almost nobody is running: Drop that note into an Obsidian vault and open the folder with Claude Code not the chat app, the terminal agent that reads files. 3 commands change everything: read my last 30 days of notes and find the 3 ideas I keep circling without acting on link every note mentioning this project into a CLAUDE.md of what I actually believe about it draft this week's post from the idea that resurfaced most Claude Code doesn't search your vault it walks it, follows the wikilinks, and hands you the patterns you were too close to see. Karpathy method filters the signal, Obsidian stores it, Claude Code compounds it. One is a habit, one is a folder, one is $20 a month together they're the closest thing to a second brain that thinks back. Most people collect notes for 10 years and never read them once. His notes read him.

Spike 1%

12,467 次观看 • 1 个月前

A guy runs 3 AI businesses from a chair and one prints $100,000 a month with zero employees. Everyone has the same AI now. Most of it spits out slop because they hand it a prompt and pray. He hands it a brain. Before his agent writes 1 word, it reads everything. A copywriting skill he built himself, a headline swipe file, his own marketing notes, and David Frey's 12-step sales letter system. Then it opens the context folder and swallows the whole company. The full knowledge base, the customer avatar, the exact questions real members ask in the private group. The tool is free and it's called Obsidian. Folders and files, nothing fancy. The skills are his, the context is his, and that's the part nobody can copy. Same model everyone else has. 1 guy builds slop, 1 guy builds $100,000 a month. The difference was never the AI. It was everything you fed it first.

Veltrx

15,691 次观看 • 2 个月前

19-year-old Vietnamese student built himself a second brain through Claude and Obsidian - and made $18,000 in his first month. Every morning Claude already knows who he is, what he's working on, which tasks are open and which ideas were captured a month ago - no reminders, no manual searching. He drops an article into a folder - Claude reads it, writes a summary, updates the index and links 10-15 related pages in one pass. Set up a cron job once at 7:30 AM - now a briefing with all his tasks and new materials is waiting before he even gets out of bed. Published the system as a course on Gumroad - $97 for access, 186 sales in the first month. Vannevar Bush described this idea back in 1945 and called it the Memex - but couldn't solve one question: who does the maintenance. Now the answer is known - Claude. And a 19-year-old student from Hanoi is already selling that answer for $18,000 a month.

19-year-old Vietnamese student built himself a second brain through Claude and Obsidian - and made $18,000 in his first month. Every morning Claude already knows who he is, what he's working on, which tasks are open and which ideas were captured a month ago - no reminders, no manual searching. He drops an article into a folder - Claude reads it, writes a summary, updates the index and links 10-15 related pages in one pass. Set up a cron job once at 7:30 AM - now a briefing with all his tasks and new materials is waiting before he even gets out of bed. Published the system as a course on Gumroad - $97 for access, 186 sales in the first month. Vannevar Bush described this idea back in 1945 and called it the Memex - but couldn't solve one question: who does the maintenance. Now the answer is known - Claude. And a 19-year-old student from Hanoi is already selling that answer for $18,000 a month.

Cortex

24,389 次观看 • 3 个月前

A guy installed a mini Nvidia AI data center on his house and gets paid monthly The box is the size of a small fridge and bolts right onto the wall. Inside it is packed with Nvidia GPUs running AI workloads 24/7. He hooked it up next to his AC and that was it. Now the company pays him a flat fee for the power and Wi-Fi it uses. He says it lands him around $2,500 a month straight into his account. The unit even helps cool the side of his house, dropping his AC bill by $150. That stacks to over $30,000 a year for doing literally nothing. His mortgage is now fully paid by a box in his yard. The crazy part is regular homes are quietly becoming AI infrastructure. Save this, you are watching the next gold rush hit the suburbs.

A guy installed a mini Nvidia AI data center on his house and gets paid monthly The box is the size of a small fridge and bolts right onto the wall. Inside it is packed with Nvidia GPUs running AI workloads 24/7. He hooked it up next to his AC and that was it. Now the company pays him a flat fee for the power and Wi-Fi it uses. He says it lands him around $2,500 a month straight into his account. The unit even helps cool the side of his house, dropping his AC bill by $150. That stacks to over $30,000 a year for doing literally nothing. His mortgage is now fully paid by a box in his yard. The crazy part is regular homes are quietly becoming AI infrastructure. Save this, you are watching the next gold rush hit the suburbs.

winkle.

7,181,128 次观看 • 3 个月前

THIS GUY BUILT A REAL JARVIS THAT TURNS HIS IDEAS INTO FINISHED PROJECTS ON ITS OWN, AND HE JUST SHOWED HOW THE WHOLE THING WORKS The whole system runs on one clean split he calls a blood-brain barrier. The second brain, his Obsidian vault, is only for things that aren't real yet. Ideas. Each one sits in a project-shaped folder, waiting to be processed and turned into something real. Nothing executes there. The vault is the place where ideas get shaped, not built. Once an idea is signed off, it crosses over to the execution pipeline. That lives on his actual machine, or an always-on box, or a Raspberry Pi, depending on what the project needs. Inside that machine is a fully Claude-native file system. The key piece is one CLAUDE.md file sitting in the root of his documents folder, acting as the map to everything in there. So he just opens Claude and says "go to my projects folder," and it already knows the whole structure, because that root file explains it. Two zones, one rule: the brain holds what isn't real, the machine runs what is. That separation is what keeps the ideas from tangling with the work. Bookmark this

THIS GUY BUILT A REAL JARVIS THAT TURNS HIS IDEAS INTO FINISHED PROJECTS ON ITS OWN, AND HE JUST SHOWED HOW THE WHOLE THING WORKS The whole system runs on one clean split he calls a blood-brain barrier. The second brain, his Obsidian vault, is only for things that aren't real yet. Ideas. Each one sits in a project-shaped folder, waiting to be processed and turned into something real. Nothing executes there. The vault is the place where ideas get shaped, not built. Once an idea is signed off, it crosses over to the execution pipeline. That lives on his actual machine, or an always-on box, or a Raspberry Pi, depending on what the project needs. Inside that machine is a fully Claude-native file system. The key piece is one CLAUDE.md file sitting in the root of his documents folder, acting as the map to everything in there. So he just opens Claude and says "go to my projects folder," and it already knows the whole structure, because that root file explains it. Two zones, one rule: the brain holds what isn't real, the machine runs what is. That separation is what keeps the ideas from tangling with the work. Bookmark this

Yarchi

87,650 次观看 • 2 个月前

Andrej Karpathy spent 2h showing how he actually uses AI day to day he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker watch what's actually happening the entire time: > he describes the task in normal words > it goes off and does the work > he glances at the result and nudges it with one more sentence that's the whole skill, and you've had it since you learned to talk the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act check his work, then build the version that keeps working when you stop

Andrej Karpathy spent 2h showing how he actually uses AI day to day he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker watch what's actually happening the entire time: > he describes the task in normal words > it goes off and does the work > he glances at the result and nudges it with one more sentence that's the whole skill, and you've had it since you learned to talk the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act check his work, then build the version that keeps working when you stop

Chrome

1,808,049 次观看 • 2 个月前

15 years of a man's life just to watch a plastic wheel turn from 999999 to 0. He drove 195km every single day for 14 years just to reach the 1,000,000km milestone. But the machine is indifferent to his devotion, it has no seventh digit! At the exact moment he achieves his life's goal, the life told him he’s back at the beginning. There is a cruel, Kafkaesque joke hidden in this dashboard. A man pours a decade and a half of his soul into a machine, tending to its engine like a living thing, all to reach the summit of a million. But as he arrives, the mechanical god he served refuses to acknowledge the weight of his journey. In the cold logic of the analog drum, a million is indistinguishable from zero. He didn't reach a destination, he simply exhausted the machine's ability to count his struggle. He is Sisyphus at the top of the hill, watching the stone roll back to 000000, left with nothing but a tired engine and the silence of the road.

15 years of a man's life just to watch a plastic wheel turn from 999999 to 0. He drove 195km every single day for 14 years just to reach the 1,000,000km milestone. But the machine is indifferent to his devotion, it has no seventh digit! At the exact moment he achieves his life's goal, the life told him he’s back at the beginning. There is a cruel, Kafkaesque joke hidden in this dashboard. A man pours a decade and a half of his soul into a machine, tending to its engine like a living thing, all to reach the summit of a million. But as he arrives, the mechanical god he served refuses to acknowledge the weight of his journey. In the cold logic of the analog drum, a million is indistinguishable from zero. He didn't reach a destination, he simply exhausted the machine's ability to count his struggle. He is Sisyphus at the top of the hill, watching the stone roll back to 000000, left with nothing but a tired engine and the silence of the road.

Wisdom

29,518 次观看 • 4 个月前

“Who is this King of glory? The LORD of hosts, He is the King of glory.” - Psalm 24:10 While preaching at Marshall County Correctional Facility in Mississippi, Brother Paul vividly illustrated the scene of Jesus Christ, the victorious Savior and King, entering heaven after completing His work on earth. “…For the first time in all of history, the doors of heaven open to a man, the man Christ Jesus. And He enters into heaven, not by grace, not by the virtue of another. No, He enters into heaven by His own virtue, by His own power, by His own right, and all of heaven falls before Him. And He ascends the throne of Almighty God by His own virtue and His own power. And He sits down at the right hand of God, and He says, “It is finished.” And the Father says, “Son, it is finished indeed.” Watch the whole sermon here:

“Who is this King of glory? The LORD of hosts, He is the King of glory.” - Psalm 24:10 While preaching at Marshall County Correctional Facility in Mississippi, Brother Paul vividly illustrated the scene of Jesus Christ, the victorious Savior and King, entering heaven after completing His work on earth. “…For the first time in all of history, the doors of heaven open to a man, the man Christ Jesus. And He enters into heaven, not by grace, not by the virtue of another. No, He enters into heaven by His own virtue, by His own power, by His own right, and all of heaven falls before Him. And He ascends the throne of Almighty God by His own virtue and His own power. And He sits down at the right hand of God, and He says, “It is finished.” And the Father says, “Son, it is finished indeed.” Watch the whole sermon here:

HeartCry Missionary

14,235 次观看 • 10 个月前

A guy made $130,000 last month from a Shopify store he has not opened in 47 days. He asked Claude to spin up the store in one prompt. Picked one trending product from Alibaba. Uploaded it. Veo 3 generated every product video he has ever posted. ChatGPT writes every ad caption and every reply to customers. His only job is watching the orders land in Stripe. He is 24. He runs the store from the Notes app on his phone. He has never logged into the Shopify admin from a desktop. He says the password is saved in his iCloud and he has not had to type it. Most dropshippers spend their week answering DMs, editing product photos, A/B testing ad copy, and arguing with suppliers. He does none of that. The AI does the things that scale and he does the thing that does not, which is exactly nothing. His ad spend is $42,000 a month. Return on ad spend: 4.1. Refund rate: 6%. Average order value: $54. The math is boring. The reason it works is interesting. The less he touches the store, the more it prints. Every time he gets the urge to optimize something he closes the tab and goes to the gym. The store does not need his taste. The dropshippers losing to him spent ten years getting good at the parts AI now does for $20 a month. Save this before the dropshipping niche figures out AI does not need them.

A guy made $130,000 last month from a Shopify store he has not opened in 47 days. He asked Claude to spin up the store in one prompt. Picked one trending product from Alibaba. Uploaded it. Veo 3 generated every product video he has ever posted. ChatGPT writes every ad caption and every reply to customers. His only job is watching the orders land in Stripe. He is 24. He runs the store from the Notes app on his phone. He has never logged into the Shopify admin from a desktop. He says the password is saved in his iCloud and he has not had to type it. Most dropshippers spend their week answering DMs, editing product photos, A/B testing ad copy, and arguing with suppliers. He does none of that. The AI does the things that scale and he does the thing that does not, which is exactly nothing. His ad spend is $42,000 a month. Return on ad spend: 4.1. Refund rate: 6%. Average order value: $54. The math is boring. The reason it works is interesting. The less he touches the store, the more it prints. Every time he gets the urge to optimize something he closes the tab and goes to the gym. The store does not need his taste. The dropshippers losing to him spent ten years getting good at the parts AI now does for $20 a month. Save this before the dropshipping niche figures out AI does not need them.

Marlow

27,351 次观看 • 2 个月前

Marc Andreessen says if he were 18 right now, AI is "100% what I would be spending all of my time on." When the co-founder of a16z shares his opinion on what to do in tech, you listen. When he looks at AI today, he sees something that has never existed before in the history of software. AI agents can operate with very little human involvement. The reason is they can run on a Unix shell, the same command line system that has powered computers for decades. With a single instruction from you, it can access your files, your network, and your devices. Or you can instruct it to rewrite its own code. And even if it needs a new capability, you can allow it to write the code itself and install it. Here's a real example of this happening: One of his friends had his agent rewrite the firmware on a robot dog that could barely climb stairs. The agent rebuilt the entire control system. The dog is now a functional pet for his kids, and whenever something breaks, the agent just fixes the code again. Andreessen says no widely deployed software system in history has ever been able to understand and modify itself like this. He calls it "an incredible conceptual breakthrough." — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

Marc Andreessen says if he were 18 right now, AI is "100% what I would be spending all of my time on." When the co-founder of a16z shares his opinion on what to do in tech, you listen. When he looks at AI today, he sees something that has never existed before in the history of software. AI agents can operate with very little human involvement. The reason is they can run on a Unix shell, the same command line system that has powered computers for decades. With a single instruction from you, it can access your files, your network, and your devices. Or you can instruct it to rewrite its own code. And even if it needs a new capability, you can allow it to write the code itself and install it. Here's a real example of this happening: One of his friends had his agent rewrite the firmware on a robot dog that could barely climb stairs. The agent rebuilt the entire control system. The dog is now a functional pet for his kids, and whenever something breaks, the agent just fixes the code again. Andreessen says no widely deployed software system in history has ever been able to understand and modify itself like this. He calls it "an incredible conceptual breakthrough." — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

GeniusThinking

76,334 次观看 • 4 个月前

THE GUY WHO RUNS THE ACCELERATOR BEHIND AIRBNB, COINBASE, AND STRIPE OPEN-SOURCED THE EXACT AI SECOND BRAIN HE RUNS HIS BUSINESS ON Garry Tan runs Y Combinator, the startup factory behind Airbnb, Coinbase, Stripe, and 5000 another companies He also runs an AI second brain with 146,000 pages in it, ingesting his meetings, emails, and notes while he sleeps, and he open-sourced it. Repo: /garrytan/gbrain But you don't start there. Here are the five levels, simplest to most complex: Level 1: routing. A CLAUDE.md that acts as a map telling the AI where things live, plus a few markdown folders. You find things by exact name. Most people never actually need more than this. Level 2: the wiki. 30+ notes you keep forgetting, ingested into a linked wiki with an index, the Karpathy pattern. The AI follows a trail instead of guessing. Level 3: semantic search. When you search different words than you wrote and it whiffs, vector search matches by meaning, not exact words. Level 4: the knowledge graph. When you need to trace relationships, this person works at that company that competes with this one, you add typed connections, not just backlinks. Level 5: autonomous. An always-on brain that refreshes itself while you sleep, like Garry's. The top, but not automatically best. More context can do more harm than good. The real lesson: higher isn't better. Find the lowest level that fixes a pain you actually have. And your vault doesn't have to be one level, one folder can be level 2 while another is level 4. Full step-by-step build of the Claude + Obsidian second brain in the article below. Bookmark this

THE GUY WHO RUNS THE ACCELERATOR BEHIND AIRBNB, COINBASE, AND STRIPE OPEN-SOURCED THE EXACT AI SECOND BRAIN HE RUNS HIS BUSINESS ON Garry Tan runs Y Combinator, the startup factory behind Airbnb, Coinbase, Stripe, and 5000 another companies He also runs an AI second brain with 146,000 pages in it, ingesting his meetings, emails, and notes while he sleeps, and he open-sourced it. Repo: /garrytan/gbrain But you don't start there. Here are the five levels, simplest to most complex: Level 1: routing. A CLAUDE.md that acts as a map telling the AI where things live, plus a few markdown folders. You find things by exact name. Most people never actually need more than this. Level 2: the wiki. 30+ notes you keep forgetting, ingested into a linked wiki with an index, the Karpathy pattern. The AI follows a trail instead of guessing. Level 3: semantic search. When you search different words than you wrote and it whiffs, vector search matches by meaning, not exact words. Level 4: the knowledge graph. When you need to trace relationships, this person works at that company that competes with this one, you add typed connections, not just backlinks. Level 5: autonomous. An always-on brain that refreshes itself while you sleep, like Garry's. The top, but not automatically best. More context can do more harm than good. The real lesson: higher isn't better. Find the lowest level that fixes a pain you actually have. And your vault doesn't have to be one level, one folder can be level 2 while another is level 4. Full step-by-step build of the Claude + Obsidian second brain in the article below. Bookmark this

Yarchi

53,539 次观看 • 2 个月前