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I still genuinely wonder why not everyone is using this approach yet. I launched 50 Grok agents and connected them to a second brain. Thanks to that, just a month ago I managed to make $7,600 Elon Musk published a simple idea that hit 30 million views: the most...

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Bober_smart

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35,421 views • 4 days ago •via X (Twitter)

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I still don't understand why everyone is not using this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets Here is the gist: Install Obsidian, create a vault, open it in Claude Code Paste the file with Karpathy's wiki idea and tell Claude to build it Claude creates three folders: raw for sources, wiki for its pages, CLAUDE which runs everything Drop any source into raw and say "ingest this" Ask questions across everything, forever Five minutes to set up, and you never start with an empty chat again The full step-by-step guide is in the article. Save to bookmarks
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I still don't understand why everyone is not using this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets Here is the gist: Install Obsidian, create a vault, open it in Claude Code Paste the file with Karpathy's wiki idea and tell Claude to build it Claude creates three folders: raw for sources, wiki for its pages, CLAUDE which runs everything Drop any source into raw and say "ingest this" Ask questions across everything, forever Five minutes to set up, and you never start with an empty chat again The full step-by-step guide is in the article. Save to bookmarks

Bober_smart

2,822,387 views • 21 days ago

I genuinely don't understand why everyone isn't using this yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain. You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets. Here's the whole thing: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark this
0:16

I genuinely don't understand why everyone isn't using this yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain. You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets. Here's the whole thing: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark this

Ridark

6,995,020 views • 2 months ago

I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓
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I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓

SCOTTY BEAM

97,697 views • 20 days ago

THIS IS WHAT YOUR SECOND BRAIN SHOULD LOOK LIKE most people dump notes into obsidian and call it a second brain it’s not a second brain it’s a second drawer karpathy just dropped the pattern that changes this and it’s called the llm wiki every time you add a source ai reads it, extracts key claims, updates every connected note and flags contradictions your obsidian stops being an archive and starts being alive save this and show it to someone still using notion as a second brain full breakdown in the article ↓
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THIS IS WHAT YOUR SECOND BRAIN SHOULD LOOK LIKE most people dump notes into obsidian and call it a second brain it’s not a second brain it’s a second drawer karpathy just dropped the pattern that changes this and it’s called the llm wiki every time you add a source ai reads it, extracts key claims, updates every connected note and flags contradictions your obsidian stops being an archive and starts being alive save this and show it to someone still using notion as a second brain full breakdown in the article ↓

leopardracer

123,618 views • 2 months ago

Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.
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Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.

West Lord

593,249 views • 2 months ago

this is more useful than my entire degree Elon Musk's rocket company signed a $60,000,000,000 deal for Cursor in June, and eight days ago the two of them put a worker on sale for $200 a month: it gets its own computer in the cloud, signs into your accounts, clicks through your real apps, and hands back finished work instead of a draft for you to paste i ran one against my receipts folder on sunday and got back 14 filed, 2 it held because they needed a card number, and a saved method i never wrote myself Grok Bot is the one you train by doing your own job in front of it, and the whole handover fits in four messages tonight: 1. write out one job you did today the way you would brief a new hire: what has to be finished, which sites and files to work from, what to hand back, and where it stops and asks you 2. let it run once on something safe to get wrong, then correct the result until it is worth your name 3. say "save what we just did as a skill", and add the one rule about what always needs your approval 4. say "run that skill every weekday at 8 and post the result here. if the source is missing, tell me instead of using yesterday's numbers" xAI wrote that order into its own manual: one real job, then the saved method, then the clock. a schedule sitting on top of a method nobody checked replaces two hours of your clicking with two hours of your mistake turns out you never get to pick the brain, and that is the part i would argue about: the manual says there is no model picker for members or admins, no plan to add one, and the bill follows whichever model answered bookmark this, then open the piece below: which jobs deserve a worker of their own, and which ones quietly burn the seat ↓
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this is more useful than my entire degree Elon Musk's rocket company signed a $60,000,000,000 deal for Cursor in June, and eight days ago the two of them put a worker on sale for $200 a month: it gets its own computer in the cloud, signs into your accounts, clicks through your real apps, and hands back finished work instead of a draft for you to paste i ran one against my receipts folder on sunday and got back 14 filed, 2 it held because they needed a card number, and a saved method i never wrote myself Grok Bot is the one you train by doing your own job in front of it, and the whole handover fits in four messages tonight: 1. write out one job you did today the way you would brief a new hire: what has to be finished, which sites and files to work from, what to hand back, and where it stops and asks you 2. let it run once on something safe to get wrong, then correct the result until it is worth your name 3. say "save what we just did as a skill", and add the one rule about what always needs your approval 4. say "run that skill every weekday at 8 and post the result here. if the source is missing, tell me instead of using yesterday's numbers" xAI wrote that order into its own manual: one real job, then the saved method, then the clock. a schedule sitting on top of a method nobody checked replaces two hours of your clicking with two hours of your mistake turns out you never get to pick the brain, and that is the part i would argue about: the manual says there is no model picker for members or admins, no plan to add one, and the bill follows whichever model answered bookmark this, then open the piece below: which jobs deserve a worker of their own, and which ones quietly burn the seat ↓

Argona

21,946 views • 23 days ago

BUILD KARPATHY'S SECOND BRAIN WITH CLAUDE OPUS 5 + OBSIDIAN Andrej Karpathy (OpenAI co-founder) shared an architecture that turns Claude into a persistent second brain not just a basic chat window how it works: > point Claude Code at an Obsidian vault folder > drop articles, PDFs, or video transcripts into raw > Claude reads them, updates summaries, cross-references everything > the knowledge base compounds like interest, never resets on a new chat the setup: > install create a local vault folder > open it in Claude Code, paste Karpathy's wiki prompt > > let the agent build raw, wiki, and CLAUDE.md folders > drop any file into raw, tell it to ingest > ask questions, get compiled summaries back this skips rag overhead entirely. your vault stays organized on its own run ingest on a schedule and it's loop engineering: sense a new file, plan, write, verify, repeat how do you manage your local knowledge base?
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BUILD KARPATHY'S SECOND BRAIN WITH CLAUDE OPUS 5 + OBSIDIAN Andrej Karpathy (OpenAI co-founder) shared an architecture that turns Claude into a persistent second brain not just a basic chat window how it works: > point Claude Code at an Obsidian vault folder > drop articles, PDFs, or video transcripts into raw > Claude reads them, updates summaries, cross-references everything > the knowledge base compounds like interest, never resets on a new chat the setup: > install create a local vault folder > open it in Claude Code, paste Karpathy's wiki prompt > > let the agent build raw, wiki, and CLAUDE.md folders > drop any file into raw, tell it to ingest > ask questions, get compiled summaries back this skips rag overhead entirely. your vault stays organized on its own run ingest on a schedule and it's loop engineering: sense a new file, plan, write, verify, repeat how do you manage your local knowledge base?

Mr. Buzzoni

15,682 views • 24 days ago

BUILD KARPATHY'S SECOND BRAIN WITH CLAUDE FABLE 5 + OBSIDIAN Andrej Karpathy (openai co-founder) shared an architecture that turns Claude into a persistent second brain instead of a basic chat window how it works: > you point Claude Code at an Obsidian vault folder > you drop articles, PDFs, or video transcripts into raw folders > Claude reads the files, updates topic summaries, and cross-references everything > the knowledge base compounds like interest instead of resetting on every new chat the setup is simple: > install and create a local vault directory > open the directory in Claude Code and paste Karpathy's wiki prompt: > > let the agent generate raw, wiki, and CLAUDE.md schema directories > drop any text file into raw and tell the model to ingest it > ask questions across the whole vault and query compiled summaries this eliminates rag database overhead and keeps your local vault organized how do you manage your local knowledge base?
0:11

BUILD KARPATHY'S SECOND BRAIN WITH CLAUDE FABLE 5 + OBSIDIAN Andrej Karpathy (openai co-founder) shared an architecture that turns Claude into a persistent second brain instead of a basic chat window how it works: > you point Claude Code at an Obsidian vault folder > you drop articles, PDFs, or video transcripts into raw folders > Claude reads the files, updates topic summaries, and cross-references everything > the knowledge base compounds like interest instead of resetting on every new chat the setup is simple: > install and create a local vault directory > open the directory in Claude Code and paste Karpathy's wiki prompt: > > let the agent generate raw, wiki, and CLAUDE.md schema directories > drop any text file into raw and tell the model to ingest it > ask questions across the whole vault and query compiled summaries this eliminates rag database overhead and keeps your local vault organized how do you manage your local knowledge base?

Mr. Buzzoni

89,170 views • 2 months ago

Tonight I left my laptop turned on, and woke up in the morning with a $7,000 profit. While I was sleeping, my cloud second brain was analyzing trends and running funnels on autopilot Famous investor Naval Ravikant once brilliantly noted: AI brains are meant for coming up with ideas, not clogging bio-servers with gigabytes of other people's garbage The main point Point Claude at a local folder and feed it all the accumulated digital junk files, articles, reports, notes. The artificial intelligence absorbs this chaos itself, builds ironclad logic, and turns a pile of files into a single, living knowledge base. The system works on the principle of compound interest: the more data you feed it, the more accurately it predicts your next steps and generates ready-made solutions Step-by-step process: Choose a base, either Notion or Obsidian, as long as the cloud is accessible from any device 24/7 Implement the CODE method by saving all the chaos to your inbox, sorting it out, extracting the essence, and monetizing your knowledge Connect AI agents by setting up automation via API so the AI sorts data and generates content on its own while you rest A more detailed guide is described in the article. I highly recommend adding this to your bookmarks
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Tonight I left my laptop turned on, and woke up in the morning with a $7,000 profit. While I was sleeping, my cloud second brain was analyzing trends and running funnels on autopilot Famous investor Naval Ravikant once brilliantly noted: AI brains are meant for coming up with ideas, not clogging bio-servers with gigabytes of other people's garbage The main point Point Claude at a local folder and feed it all the accumulated digital junk files, articles, reports, notes. The artificial intelligence absorbs this chaos itself, builds ironclad logic, and turns a pile of files into a single, living knowledge base. The system works on the principle of compound interest: the more data you feed it, the more accurately it predicts your next steps and generates ready-made solutions Step-by-step process: Choose a base, either Notion or Obsidian, as long as the cloud is accessible from any device 24/7 Implement the CODE method by saving all the chaos to your inbox, sorting it out, extracting the essence, and monetizing your knowledge Connect AI agents by setting up automation via API so the AI sorts data and generates content on its own while you rest A more detailed guide is described in the article. I highly recommend adding this to your bookmarks

Bober_smart

12,214 views • 13 days ago

This video is a wake up call for everyone who lives in high rise apartments anywhere in India. The system is not designed to safeguard you in emergency. Make your own arrangements, Fire hoses, huge overhead water tanks & plenty of Fire extinguishers alone can save you. You only get a few minutes to end a fire before it becomes uncontrollable. And it takes time for the fire trucks to arrive and setup; and most of the time it’s too late.
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This video is a wake up call for everyone who lives in high rise apartments anywhere in India. The system is not designed to safeguard you in emergency. Make your own arrangements, Fire hoses, huge overhead water tanks & plenty of Fire extinguishers alone can save you. You only get a few minutes to end a fire before it becomes uncontrollable. And it takes time for the fire trucks to arrive and setup; and most of the time it’s too late.

SUDHIR

309,631 views • 4 months ago

It literally doesn’t get any easier than this, just set it, forget it, and let the bot do the rest. I’ve tapped into cutting edge technology that automates my trades, executing high frequency trades with an incredibly high win rate. 🤑 Once my strategy is set, I don’t have to lift a finger. Everything is fully automated, and as you can see, the results speak for themselves. The trades you’re seeing here? All executed in the past 30 minutes, and every single one of them happens to be a winner. 📈💰 Want to see how you can leverage this game changing system for yourself? Drop me a message, and I’ll show you how to get started!
0:12

It literally doesn’t get any easier than this, just set it, forget it, and let the bot do the rest. I’ve tapped into cutting edge technology that automates my trades, executing high frequency trades with an incredibly high win rate. 🤑 Once my strategy is set, I don’t have to lift a finger. Everything is fully automated, and as you can see, the results speak for themselves. The trades you’re seeing here? All executed in the past 30 minutes, and every single one of them happens to be a winner. 📈💰 Want to see how you can leverage this game changing system for yourself? Drop me a message, and I’ll show you how to get started!

Erik Stevens 🐆

15,085 views • 5 months ago

I launched 300 Grok agents to automate the routine and see what would come of it. As a result, my business reached a profit of +356% Honestly, I still don't understand why absolutely everyone isn't using this method. While everyone else is writing posts and monitoring trends manually, this AI stack works like a well-oiled clockwork mechanism How it's structured: Dedicated cloud instances share the load via a single distributed bus, distributing tasks in batches of 50 parallel threads per agent The central configurator dynamically switches tasks between system workers, processing domains, parsing inputs, and gathering results into a single knowledge graph Each agent runs an algorithm through a fixed cycle (setup -> run -> correct -> save -> schedule), instantly correcting deviations and fixing data in the database Instead of spending hundreds of hours on manual operations, I handed all this machinery over to AI. The result speaks for itself, reach and productivity have grown exponentially, and the system operates autonomously 24/7 The visualization is made for a clear example and may differ from the actual work of the agents The article describes the detailed automation method, bookmark it
0:10

I launched 300 Grok agents to automate the routine and see what would come of it. As a result, my business reached a profit of +356% Honestly, I still don't understand why absolutely everyone isn't using this method. While everyone else is writing posts and monitoring trends manually, this AI stack works like a well-oiled clockwork mechanism How it's structured: Dedicated cloud instances share the load via a single distributed bus, distributing tasks in batches of 50 parallel threads per agent The central configurator dynamically switches tasks between system workers, processing domains, parsing inputs, and gathering results into a single knowledge graph Each agent runs an algorithm through a fixed cycle (setup -> run -> correct -> save -> schedule), instantly correcting deviations and fixing data in the database Instead of spending hundreds of hours on manual operations, I handed all this machinery over to AI. The result speaks for itself, reach and productivity have grown exponentially, and the system operates autonomously 24/7 The visualization is made for a clear example and may differ from the actual work of the agents The article describes the detailed automation method, bookmark it

Bober_smart

14,733 views • 19 days ago

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.
0:13

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

Sudo su

58,717 views • 5 months ago

I still can't wrap my head around why not everyone is using this approach yet. Elon Musk already reposted this guide, and this exact agent setup earned me $7,100 in net profit for the month Grok Bot + Pumpfun + Robinhood Week 1 + $1,210 Week 2 + $2,560 Week 3 + $4,790 Week 4 + $7,100 Eight Grok desktop agents cost $200 a month, but they completely replace an entire trading floor. Maintaining such a staff in a crypto fund typically costs around $600,000 a year in analyst salaries alone A 5:30 AM morning call. I don't even participate in it How tasks are distributed among agents: SEARCH: monitors real-time insider information, scans developer repositories on GitHub, and tracks unindexed Telegram channels before crypto Twitter finds out RISK: analyzes smart contracts, minting rights, and liquidity pool (LP) locks, instantly flagging honeypots before executing a trade SNIPER: executes transactions on the blockchain at high speed right at the exact millisecond the system confirms token safety WHALE: tracks large player wallets and records hidden asset accumulation in real time RUG: monitors developer wallet activity 24/7 and instantly dumps the entire asset volume if they touch the liquidity pool EXIT: manages dynamic stop-losses and gradually takes profits as liquidity grows SHILL: measures social media activity, pulse speed, and key influencer mentions HEAD OF DESK: doesn't trade on its own it routes data streams, checks transmissions, and brings me only the ready-made decisions that require human intervention Over the course of a month, the system analyzed 654 tokens, processed 165 qualifying options, and executed 81 successful trades. Result: a net profit of $7,100 (already including all fees). Each agent has its own virtual browser, terminal, and local cloud memory, so the trading floor keeps running even when my laptop is closed Setup turned out to be much simpler than it seems: 1. Download Grok Bot and create your "Head of Desk" 2. Write text instructions for the remaining 7 agents just like you would assign tasks to new employees 3. Run the workflow once on your screen so they can pick up the algorithm 4. Connect Telegram and cryptocurrency wallet webhooks No VPS, lengthy coding, or waiting for developers. Crypto trading used to be associated with 17 hours in front of a monitor, paid closed groups, and constant exhaustion. It took me just one evening to set everything up Save this guide before opening your next trade
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I still can't wrap my head around why not everyone is using this approach yet. Elon Musk already reposted this guide, and this exact agent setup earned me $7,100 in net profit for the month Grok Bot + Pumpfun + Robinhood Week 1 + $1,210 Week 2 + $2,560 Week 3 + $4,790 Week 4 + $7,100 Eight Grok desktop agents cost $200 a month, but they completely replace an entire trading floor. Maintaining such a staff in a crypto fund typically costs around $600,000 a year in analyst salaries alone A 5:30 AM morning call. I don't even participate in it How tasks are distributed among agents: SEARCH: monitors real-time insider information, scans developer repositories on GitHub, and tracks unindexed Telegram channels before crypto Twitter finds out RISK: analyzes smart contracts, minting rights, and liquidity pool (LP) locks, instantly flagging honeypots before executing a trade SNIPER: executes transactions on the blockchain at high speed right at the exact millisecond the system confirms token safety WHALE: tracks large player wallets and records hidden asset accumulation in real time RUG: monitors developer wallet activity 24/7 and instantly dumps the entire asset volume if they touch the liquidity pool EXIT: manages dynamic stop-losses and gradually takes profits as liquidity grows SHILL: measures social media activity, pulse speed, and key influencer mentions HEAD OF DESK: doesn't trade on its own it routes data streams, checks transmissions, and brings me only the ready-made decisions that require human intervention Over the course of a month, the system analyzed 654 tokens, processed 165 qualifying options, and executed 81 successful trades. Result: a net profit of $7,100 (already including all fees). Each agent has its own virtual browser, terminal, and local cloud memory, so the trading floor keeps running even when my laptop is closed Setup turned out to be much simpler than it seems: 1. Download Grok Bot and create your "Head of Desk" 2. Write text instructions for the remaining 7 agents just like you would assign tasks to new employees 3. Run the workflow once on your screen so they can pick up the algorithm 4. Connect Telegram and cryptocurrency wallet webhooks No VPS, lengthy coding, or waiting for developers. Crypto trading used to be associated with 17 hours in front of a monitor, paid closed groups, and constant exhaustion. It took me just one evening to set everything up Save this guide before opening your next trade

Bober_smart

51,023 views • 3 days ago

I still can't wrap my head around why not everyone is using this approach yet. Elon Musk reposted this guide, and using this exact agent setup, I managed to make $7,250 just last week Eight Grok agents on the desktop cost $200 a month, but they replace a full trading floor, the maintenance of which typically costs a crypto fund $550,000 a year in analyst salaries A 5:30AM morning call. I don't participate in it How the agents are distributed: SEARCH: gathers real-time alpha, developer repositories on GitHub, and unindexed Telegram signals before CT finds them RISK: checks contract functions, minting rights, and LP locks, flagging honeypots before entry SNIPER: places high-speed orders on-chain at the exact millisecond the risk clearance passes WHALE: tracks smart money wallets and flags insider accumulation in real time RUG: monitors developer wallet activity 24/7 and dumps the entire position if they touch the LP EXIT: dynamically trails stops, scaling out as liquidity accumulates SHILL: tracks social volume, impulse speed, and key influencer calls HEAD OF DESK: never trades, routes data, checks transmissions, and brings me the single decision that requires a human. While I was sleeping, the system scanned 143 tokens, selected 15 qualifying setups, and executed 8 trades. The result: net profit of $7,250 (already after fees). Each agent has its own virtual browser, terminal, and local cloud memory, and the trading floor remains active even when my laptop is closed Setup is easier than it seems: 1. Download Grok Bot and create your Head of Desk 2. Give the remaining 7 agents task descriptions as if you were instructing new employees 3. Run the workflow once on your screen while they observe 4. Connect Telegram and wallet webhooks No VPS, no code, no waiting for developers. Crypto trading used to mean 16 hours in front of a screen, paid alpha groups, and constant fatigue. Mine took one evening to set up Save this guide before your next trade
0:20

I still can't wrap my head around why not everyone is using this approach yet. Elon Musk reposted this guide, and using this exact agent setup, I managed to make $7,250 just last week Eight Grok agents on the desktop cost $200 a month, but they replace a full trading floor, the maintenance of which typically costs a crypto fund $550,000 a year in analyst salaries A 5:30AM morning call. I don't participate in it How the agents are distributed: SEARCH: gathers real-time alpha, developer repositories on GitHub, and unindexed Telegram signals before CT finds them RISK: checks contract functions, minting rights, and LP locks, flagging honeypots before entry SNIPER: places high-speed orders on-chain at the exact millisecond the risk clearance passes WHALE: tracks smart money wallets and flags insider accumulation in real time RUG: monitors developer wallet activity 24/7 and dumps the entire position if they touch the LP EXIT: dynamically trails stops, scaling out as liquidity accumulates SHILL: tracks social volume, impulse speed, and key influencer calls HEAD OF DESK: never trades, routes data, checks transmissions, and brings me the single decision that requires a human. While I was sleeping, the system scanned 143 tokens, selected 15 qualifying setups, and executed 8 trades. The result: net profit of $7,250 (already after fees). Each agent has its own virtual browser, terminal, and local cloud memory, and the trading floor remains active even when my laptop is closed Setup is easier than it seems: 1. Download Grok Bot and create your Head of Desk 2. Give the remaining 7 agents task descriptions as if you were instructing new employees 3. Run the workflow once on your screen while they observe 4. Connect Telegram and wallet webhooks No VPS, no code, no waiting for developers. Crypto trading used to mean 16 hours in front of a screen, paid alpha groups, and constant fatigue. Mine took one evening to set up Save this guide before your next trade

Bober_smart

55,240 views • 5 days ago

This wallet did not exist yesterday. At 3 AM, I could not sleep. I was scrolling through the leaderboard and stumbled upon an anomaly that made me rub my eyes. It started with $213. That is the price of dinner for two. One day later, it had $54,871 on its balance. In just 36 hours, it earned enough to buy a car. I clicked on the transaction history, expecting to see a lucky all-in on some piece of news. Instead, I saw a machine gun burst. > 869 positions in a day and a half. > One trade every 2.5 minutes. > No breaks for sleep, food, or the bathroom. At 4:30 AM, while you were deep in your tenth dream, this address closed a $1,899 profit. That was when I realized I was not looking at a human. I was looking at a predator. This bot hunts on 15-minute BTC and ETH markets. Where most people see a casino and flip a coin on up or down, it sees flaws in your thinking. Here is how it works: > When Bitcoin drops 0.5%, the crowd panics. > The price of NO skyrockets to 75 cents. You sell out of fear. > But the bot knows the math. After such a drop, the actual probability of the trend continuing is only around 52%, not 75%. It buys your fear for 25 cents, when it is actually worth 45. It does not need to know the future. It just needs to buy dollars for 50 cents. But you know what scared me the most? There is a single trade in its history with a $3,213 loss. A normal person would freeze. Light a cigarette. Start doubting. This wallet opened its next position 54 seconds later. It has no ego. No tilt. No I need to win it back. Only an algorithm: if the probability is 55%, and the market pays as if it is 40%, press the button. This is the new form of mining. In 2017, you bought GPUs. In 2026, you write code that mines liquidity from other people’s emotions. Before you rush to search for scripts on GitHub, stop. The $213 starting point is an illusion. Behind it are servers next to the exchange, 50-millisecond latency, and a team of engineers. You will not beat them manually. You are not a player at this table. You are the food. While you were reading this post, it made another $50. Just watch.
0:19

This wallet did not exist yesterday. At 3 AM, I could not sleep. I was scrolling through the leaderboard and stumbled upon an anomaly that made me rub my eyes. It started with $213. That is the price of dinner for two. One day later, it had $54,871 on its balance. In just 36 hours, it earned enough to buy a car. I clicked on the transaction history, expecting to see a lucky all-in on some piece of news. Instead, I saw a machine gun burst. > 869 positions in a day and a half. > One trade every 2.5 minutes. > No breaks for sleep, food, or the bathroom. At 4:30 AM, while you were deep in your tenth dream, this address closed a $1,899 profit. That was when I realized I was not looking at a human. I was looking at a predator. This bot hunts on 15-minute BTC and ETH markets. Where most people see a casino and flip a coin on up or down, it sees flaws in your thinking. Here is how it works: > When Bitcoin drops 0.5%, the crowd panics. > The price of NO skyrockets to 75 cents. You sell out of fear. > But the bot knows the math. After such a drop, the actual probability of the trend continuing is only around 52%, not 75%. It buys your fear for 25 cents, when it is actually worth 45. It does not need to know the future. It just needs to buy dollars for 50 cents. But you know what scared me the most? There is a single trade in its history with a $3,213 loss. A normal person would freeze. Light a cigarette. Start doubting. This wallet opened its next position 54 seconds later. It has no ego. No tilt. No I need to win it back. Only an algorithm: if the probability is 55%, and the market pays as if it is 40%, press the button. This is the new form of mining. In 2017, you bought GPUs. In 2026, you write code that mines liquidity from other people’s emotions. Before you rush to search for scripts on GitHub, stop. The $213 starting point is an illusion. Behind it are servers next to the exchange, 50-millisecond latency, and a team of engineers. You will not beat them manually. You are not a player at this table. You are the food. While you were reading this post, it made another $50. Just watch.

Blaze

14,099 views • 7 months ago

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt
0:05

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt

Chris Tate

42,558 views • 1 year ago

I have learnt to understand that golf is about minimizing your misses. On the tee, I aim up the right and I do everything to hit a draw. It gives me confidence knowing that I then have the entirety of the fairway to play with. If I hit a small draw, I end up on the right side of the fairway. If I hit a big draw, I end up on the left side of the fairway. If you aim up the middle, you double your room for error. Lesson is to learn the way you shape the ball and then make it work for you. #PXGTroops
0:14

I have learnt to understand that golf is about minimizing your misses. On the tee, I aim up the right and I do everything to hit a draw. It gives me confidence knowing that I then have the entirety of the fairway to play with. If I hit a small draw, I end up on the right side of the fairway. If I hit a big draw, I end up on the left side of the fairway. If you aim up the middle, you double your room for error. Lesson is to learn the way you shape the ball and then make it work for you. #PXGTroops

GARY PLAYER

179,847 views • 12 days ago

I launched a weather trading bot on Polymarket with $100 -> $8,000 here is how it works and how to copy it most people on polymarket price weather markets randomly based on vibes or a phone app but there is NOAA - a government agency that publishes free forecasts with 94%+ accuracy the result? you regularly see something like this: > NOAA gives a 94% probability that NYC will reach 74°F on Saturday > polymarket prices it at 11¢ the bot buys at 11¢ sells when the market corrects to 45¢ that is 4x on an almost guaranteed outcome how to launch it in 5 steps: > install OpenClaw on your pc > connect it to ChatGPT Plus + a telegram bot > create an agent on simmer markets deposit $100 > install the weather trading skill with: clawhub install simmer-weather > send the config to the bot and it starts trading the bot scans 6 cities every 2 minutes non-stop example of a real trader: profile: +$75,055 just from weather markets zero emotions. fully automated the window is still open but not forever
0:18

I launched a weather trading bot on Polymarket with $100 -> $8,000 here is how it works and how to copy it most people on polymarket price weather markets randomly based on vibes or a phone app but there is NOAA - a government agency that publishes free forecasts with 94%+ accuracy the result? you regularly see something like this: > NOAA gives a 94% probability that NYC will reach 74°F on Saturday > polymarket prices it at 11¢ the bot buys at 11¢ sells when the market corrects to 45¢ that is 4x on an almost guaranteed outcome how to launch it in 5 steps: > install OpenClaw on your pc > connect it to ChatGPT Plus + a telegram bot > create an agent on simmer markets deposit $100 > install the weather trading skill with: clawhub install simmer-weather > send the config to the bot and it starts trading the bot scans 6 cities every 2 minutes non-stop example of a real trader: profile: +$75,055 just from weather markets zero emotions. fully automated the window is still open but not forever

sopersone

64,986 views • 6 months ago

Today’s TikTok tip : Setting up your phone I’ll continue from where I stoped yesterday When setting up a new phone , when you get to the screen where you are asked to enter your Apple ID Don’t ever enter an Apple ID that has been used to formerly create an account before , you are likely to get banned if you create TikTok from it Tap on create a new Apple ID , if it proceeds to the next screen , you are safe , if it does not , you will get a message that you can’t create Apple ID, this happens when you have used the phone to create too many Apple ID Just leave the phone for a month and come back to it or get a new phone For the first name and last name , i use the name of my account that I want to name Also when creating passwords , don’t use the password that consist of any of the names you added , it won’t work, I don’t know why After that enter your email address, don’t use a spam email or an email with + somerhing , Apple knows how to catch this well, you want to use a fresh email address , for this I use some of the emails I have already instead , we will use this email to verify the phone later Now to the phone number side , for numbers, purchase as from juicysms and smspva for Apple number purchase , tried some other ones before but you just need a disposable number for this to verify that Apple account that’s all. By now if you follow this guide you will be able to setup your phone I’ll continue tomorrow , I’ll talk more about candy crush game in the iPhone setup, it’s one trick I learnt 🤣🤣🤣🤣 Feel free to ask any questions
0:10

Today’s TikTok tip : Setting up your phone I’ll continue from where I stoped yesterday When setting up a new phone , when you get to the screen where you are asked to enter your Apple ID Don’t ever enter an Apple ID that has been used to formerly create an account before , you are likely to get banned if you create TikTok from it Tap on create a new Apple ID , if it proceeds to the next screen , you are safe , if it does not , you will get a message that you can’t create Apple ID, this happens when you have used the phone to create too many Apple ID Just leave the phone for a month and come back to it or get a new phone For the first name and last name , i use the name of my account that I want to name Also when creating passwords , don’t use the password that consist of any of the names you added , it won’t work, I don’t know why After that enter your email address, don’t use a spam email or an email with + somerhing , Apple knows how to catch this well, you want to use a fresh email address , for this I use some of the emails I have already instead , we will use this email to verify the phone later Now to the phone number side , for numbers, purchase as from juicysms and smspva for Apple number purchase , tried some other ones before but you just need a disposable number for this to verify that Apple account that’s all. By now if you follow this guide you will be able to setup your phone I’ll continue tomorrow , I’ll talk more about candy crush game in the iPhone setup, it’s one trick I learnt 🤣🤣🤣🤣 Feel free to ask any questions

Pixel_builder

11,338 views • 2 months ago