Bober_smart

@Bober_smart • 14,453 subscribers

On-chain analyst | Crypto Native | @Polymarket researcher | @zscdao member

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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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A 21-year-old guy from Brazil created an AI construction worker girl, and 764 men bought a paid subscription to see her Subscription price: $9.99 Total revenue: $7,632 Investment: $200 spent on Claude for generation He chose a niche that wasn't crowded and made the right call: the "construction girl" persona really caught men's attention At first, he posted videos of her on TikTok, and once he built an audience, he started promoting his Fanvue page, where the paid subscription (and some slightly different content, if you know what I mean) was hosted It took him 37 days to set it all up. He easily recouped his investment and reached a solid profit AI is a useful tool, but first and foremost, you need to have a good imagination

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I still don't understand why everyone isn't doing this yet. Elon Musk reposted this guide, and using this exact agent setup, I made $9,300 just last week Eight Grok agents on the desk, costing $200 a month, service a trading floor that typically costs a crypto fund $500,000 a year in analyst salaries A 5 AM 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 164 tokens, selected 21 qualifying setups, and executed 8 trades. The result: net profit of $9,300 (already after fees) Each agent has its own virtual browser, terminal, and local cloud memory. 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 before your next trade. Save the guide

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A 23-year-old Indian developer created a game called GTA India and it has already been purchased by 16,548 people Game Price: $10 Revenue: $165,480 Costs: $200 spent on Claude for modifications Instead of classic bank robberies, the missions involve taking control of illegal spice markets or intercepting shipments of elite tea Instead of highway chases in Los Santos, players engage in chaotic, wild tuk-tuk races through the narrow alleys of Mumbai, dodging sacred cows and endless crowds of people He developed the game using Claude on the Unity engine, taking GTA 5 as a base. He modified the AI, rewrote the code, and launched the game on a server Sometimes, for success, all it takes is to take a popular product and give it a fresh twist

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A 19-year-old Japanese man created an AI girl and earned $5,614 in 2 weeks He used Claude to create the photo and video material He started a TikTok for her where she danced; after 5 days, there were already 52,544 new followers on this account He understood that everyone liked the girl very much and created an account for her on Fanvue > TikTok for advertising > Fanvue for earnings After 2 weeks, 562 people signed up for a paid subscription -> subscription price is $9.99 -> $5,614 profit AI gives opportunities literally at every step

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A 22-year-old Indian who turned himself into an anime character made $6,405 in 6 hours At first, he didn't take it seriously, he started the stream just to have a laugh, but the result surprised everyone He spent $20 on Claude Claude changed his appearance and voice in real-time Women liked the look so much that they started donating The biggest donation was $750 In 6 hours, $6,405 Artificial intelligence is frighteningly realistic, and literally anyone can repeat this

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A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.

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47-year-old man from Japan made $13,450 in a month. He created an AI girl and made a profile for her on OnlyFans and Fanvue Costs: $20 for Claude/month He created a TikTok account for her -> 7 days -> +1.2M views + 4,678 followers He created a Reddit account where he posted her photos and short videos Thus, he set up 2 traffic sources absolutely for free, men got interested, followed the link and subscribed to OnlyFans/Fanvue First week: > OnlyFans: +143 subscriptions > Fanvue: +64 subscriptions Each subscription is $9.9 -> $2,700 Claude created the AI girl, comes up with the visuals, works with the platform algorithms, posts content at the scheduled time, works autonomously The article contains 10 folders with tools for creation and workflow automation

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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

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I launched 400 agents and hooked them up tightly to a Second Brain, an active cloud supercortex coordinating this digital swarm in real time Before that, though, the Second Brain did something else. In just a couple of minutes, it playfully churned through gigabytes of old junk that had been gathering dust across various folders since time immemorial, perfectly sorting out all the abandoned documentation, notes, and archive files The dashboard exploded with a data stream, and four hundred autonomous threads simultaneously wrote code, hunted for bugs, and tested each other. If an agent hit a wall on complex logic, the Second Brain instantly pulled in a successful pattern from a neighboring thread, solving the issue in milliseconds. It was a digital storm of pure efficiency Four minutes flat later, the logs went quiet The terminal lit up, confirming that all 400 tasks were completed with zero errors I opened the finished project, revealing flawless architecture, complete test coverage, and a clean deploy. I closed my laptop lid, smiled, and went to sleep while the Second Brain, in the quiet of the servers, was already finishing up the documentation for the next sprint I highly recommend bookmarking this article

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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

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A 27-year-old guy from China bought 100 Mac minis and turned his apartment into a server hub Instead of furniture, the space is filled with neat racks where a hundred Mac minis hum like a living organism, processing gigabytes of data in a continuous stream Many small AI startups in Asia cannot afford to train models on NVIDIA H100 servers: it is insanely expensive He provides his Mac minis for running and fine-tuning small, highly specialized models. He takes on the dirty work of data labeling and quality assurance by using his network of agents that check each other's work > His initial investment was $59,900 > He was able to recoup his costs in 3 months Right now, his average income is $25,000–$30,000 per month He is not a genius: he simply found a niche with high demand and created an offer

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A 33-year-old guy from Beijing decided to pull a prank but ended up making $3,856 in just 3 hours He created an AI girl using Claude and launched a livestream on TikTok, YouTube, and Kick Claude modified the appearance, background, voice, and even the language in real-time Just 10 minutes in, the first $55 donation came through Men liked the girl so much that they started donating en masse > Over the course of 4 hours, he received $3,856 in donations > The largest single donation was $500 The article contains 10 folders with tools for creation and workflow automation

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launched a drone swarm where each drone is a Grok agent, and 8 days later, my profit reached $8,765 I delegated the management of the trading terminal to an autonomous structure consisting of 8 core Grok agents and 54 auxiliary drone agents. The latter constantly scan the network, gather raw data, and instantly redirect it to the main 8 While the morning sync meeting takes place at 6 AM, which I don't even attend, the system is already hard at work Hierarchy and responsibilities of the key agents: HEAD OF DESK: The brain of the operation. Never makes trades himself, but filters data streams, checks transmission quality, and issues a final verdict requiring manual approval SEARCH: Hunts for actual alpha, studies fresh commits in GitHub repositories, and tracks hidden Telegram signals before anyone else notices them RISK: Conducts smart contract audits, checks minting functions and liquidity pool (LP) lock functions, filtering out scams and honeypots even before entry SNIPER: Responsible for execution (instantly sends high-speed on-chain orders at the exact millisecond the risk check is completed) WHALE: Hunts "smart money" wallets, tracking large insider purchases in real-time RUG: Monitors developer activity around the clock and instantly dumps assets if they try to pull liquidity (LP) EXIT: Manages the dynamic trailing stop, withdrawing capital step-by-step as market liquidity grows SHILL: Analyzes social noise, impulse intensity, and key calls from top influencers All of this huge routine work of collecting information and delivering it to the core agents is provided by those very 54 drone agents operating in the background While I was sleeping, the autonomous complex managed to analyze 187 tokens, selected the 27 most promising configurations, and closed 8 successful trades. The net profit was $8,765 Each agent operates in an isolated environment: it has its own virtual browser, terminal, and local cloud memory. The trading floor operates 24/7, even when my laptop is completely turned off How to deploy such a system in one evening: 1. Launch the Grok Bot and set up the main agent (Head of Desk) 2. Distribute roles among the other 7 agents, writing out tasks for them in plain human language, as if you were hiring live interns 3. Run the starting workflow on your screen, allowing them to adopt the algorithm of actions 4. Integrate alerts into Telegram and connect wallets via webhooks No complicated VPS setups, writing lines of code, or tedious waiting for developers. Forget about 16 hours in front of the monitor, buying expensive private chats, and burnout (it took me just one evening to fully automate the process) Add this to your bookmarks, you will need these settings before your next trade

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A 22-year-old Chinese man created 2 AI girls and built a business on it: he managed to earn $24,542 in a month His investment was $20 for Claude For one AI girl, he created an account on Fanvue with a paid subscription of $9.99 Claude conducted an analysis of male preferences and created the ideal girl it creates photos and videos in autonomous mode and posts them according to a timer Month: +1,265 new subscribers -> $12,637 With the help of another AI girl, he launches a stream on three platforms: TikTok, YouTube, and Kick Claude changes the appearance and voice in real time right during the stream Men really liked the girl, and they regularly send donations $500 is the largest donation Month: +$11,905 Total amount $24,542 AI + 🧠 = unlimited possibilities

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I deployed 650 agents and connected them seamlessly to a Second Brain, an active cloud supercortex orchestrating this digital swarm in real time Before that, though, the Second Brain handled another priority. In mere moments, it playfully chewed through gigabytes of digital clutter that had been gathering dust across various directories for ages, effortlessly organizing every single piece of abandoned documentation, random notes, and archived files The dashboard lit up with a massive data stream, and 650 autonomous threads simultaneously generated code, hunted down bugs, and tested one another. If any agent hit a roadblock on intricate logic, the Second Brain instantly retrieved a working pattern from a neighboring thread, resolving the challenge in milliseconds. It felt like a digital storm of absolute efficiency Four minutes flat later, the logs went silent The terminal flashed to life, verifying that all 650 tasks had finished with zero errors I opened up the completed project, revealing pristine architecture, complete test coverage, and a smooth deployment. I closed my laptop lid, smiled, and headed off to sleep while the Second Brain, humming quietly in the servers, was already wrapping up the documentation for the upcoming sprint I highly recommend bookmarking this article

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A humanoid girl is literally an upgrade to perfection. No unnecessary drama, brain-washing, or domestic disputes, but absolute flexibility, understanding, and support 24/7 Right now this is AI-generated, but perhaps this is exactly what it will look like in a few years Why waste nerves on compromises when you can get the ideal balance of comfort and technology? The future looks way too attractive Such a companion adapts to your rhythm of life, shares any interests without arguments, and possesses absolute understanding in all matters from schedule to leisure A future where complete harmony, peace, and personal comfort become the standard of living no longer seems like fiction. This is a new reality that will soon become available Bookmark this so you don't forget to create your ideal girl using AI

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A 22-year-old girl from Zimbabwe gained 235,474 TikTok followers in 28 days and earned $5,800 from advertising Using Claude, she developed personas, created characters, and generated video content She posted 4 videos every day, and at the beginning, they received almost no views However, everything changed on the 15th day: one of her videos went viral, garnering a staggering 21 million views. In just 24 hours, her account gained 235,474 followers In her blog, she revealed that 5 brands booked advertising with her, and in total, she earned $5,800 over the 28 days Claude came up with everything: she simply pressed the button to publish

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This video, created by a 23-year-old guy from Norway using Claude, has taken the internet by storm The guy asked Claude to generate a cartoon video of Erling Haaland set to a trending song. With a brand-new TikTok account and just that single video, he reached 135 million views and 15 million likes, gaining 58,900 followers in just 24 hours It’s interesting to wonder if this was planned to ride the wave of World Cup hype, or if it was just a lucky coincidence Regardless, one thing is clear: AI has the power to create something truly monumental

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$A 20-year-old engineering enthusiast from Guangdong Province has shared his new invention A display, wires, a circuit board, a circular frame detector, and a battery He places a part inside the ring, the sensors recognize the item, and it instantly appears on the display The project creator claims he used a combination of a high-frequency inductance coil, custom firmware running on a powerful microcontroller, and a matrix of field sensors According to him, the device captures the slightest changes in electromagnetic response and material density, digitizing the shape of the object in a fraction of a second$