正在加载视频...

视频加载失败

返回首页

🚨 THIS DEVELOPER USED CLAUDE TO BUILD AN AI TRADING SYSTEM THAT MADE $847 OVERNIGHT. it all started with a single article about Polymarket bots. Claude Fable 5 read it, selected 7 GitHub repositories, connected them into a working pipeline, and deployed the entire system from start to finish....

ottleyai's profile picture

Liam | AI Tools & News

50,102 subscribers

27,836 次观看 • 1 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

THIS GUY JUST BUILT A DRONE THAT TRACKS TARGETS WITH A LASER USING CLAUDE > No robotics team > No engineering degree > No budget He used Claude Code to write the entire system in Python - a drone that locks onto a target, follows it with a laser and corrects its own aim automatically after every attempt. The AI gets more accurate the longer it runs because it learns from every single shot. He's still improving it and this is only the beginning. You have the same tool he used. The article below is about how to actually use it to its full potential.
0:39

THIS GUY JUST BUILT A DRONE THAT TRACKS TARGETS WITH A LASER USING CLAUDE > No robotics team > No engineering degree > No budget He used Claude Code to write the entire system in Python - a drone that locks onto a target, follows it with a laser and corrects its own aim automatically after every attempt. The AI gets more accurate the longer it runs because it learns from every single shot. He's still improving it and this is only the beginning. You have the same tool he used. The article below is about how to actually use it to its full potential.

Anatoli Kopadze

275,518 次观看 • 3 个月前

$25 → $12,582 Overnight. I Told Claude to Scan Every Polymarket Wallet While I Slept. Woke Up to the Terminal Still Running. 87% of Polymarket is exit liquidity. You're it. My 6 Claude agents aren't. I have full step-by-step guide to replicate this entire Claude scanning + copy trading setup. Claude connected GitHub repos to run all three: > poly_data: scanned every wallet and entry price > polyterm: whale tracking and insider detection > py-clob: placed the orders 7 wallets copied. 204 trades. $25 seed. Or use ready copy trading bot 6 agents running right now: > sigma_decay: 78% conviction > darkpool_7: 87% conviction > velvet_void: 85% conviction > profitprinter: 54% conviction Equity curve: $25 to $$12,582. No meaningful dip. Sharpe 2.09. You're looking at Polymarket with your eyes. Claude is looking at it with thousands of wallets of data, GitHub repos, and pattern recognition running in parallel while you sleep.
0:24

$25 → $12,582 Overnight. I Told Claude to Scan Every Polymarket Wallet While I Slept. Woke Up to the Terminal Still Running. 87% of Polymarket is exit liquidity. You're it. My 6 Claude agents aren't. I have full step-by-step guide to replicate this entire Claude scanning + copy trading setup. Claude connected GitHub repos to run all three: > poly_data: scanned every wallet and entry price > polyterm: whale tracking and insider detection > py-clob: placed the orders 7 wallets copied. 204 trades. $25 seed. Or use ready copy trading bot 6 agents running right now: > sigma_decay: 78% conviction > darkpool_7: 87% conviction > velvet_void: 85% conviction > profitprinter: 54% conviction Equity curve: $25 to $$12,582. No meaningful dip. Sharpe 2.09. You're looking at Polymarket with your eyes. Claude is looking at it with thousands of wallets of data, GitHub repos, and pattern recognition running in parallel while you sleep.

Aleiah

79,503 次观看 • 4 个月前

Cat Wu, head of product for Claude Code at Anthropic: "you can build almost anything with Claude from a single prompt now" one prompt gets you a working screen, not YOUR product Claude Code has never seen your design system, so it guesses the look fresh every time. how to hand Claude Code that system is in the article. better than the $300 design course in your tabs, and this one's free.
12:14

Cat Wu, head of product for Claude Code at Anthropic: "you can build almost anything with Claude from a single prompt now" one prompt gets you a working screen, not YOUR product Claude Code has never seen your design system, so it guesses the look fresh every time. how to hand Claude Code that system is in the article. better than the $300 design course in your tabs, and this one's free.

Mnimiy

113,663 次观看 • 2 个月前

Step-by-step instructions on how to build a RAG system using Oracle + Langchain. The time of the specialized vector store is over. Every major database management system now supports vectors. This is huge! It's one fewer system to worry about, and one fewer component to break. Oracle 26ai comes packed with AI-first features, and I decided to put a simple step-by-step guide on how to use it with Langchain. Check the attached video. You need a couple of things to follow along: 1. Create an Oracle 26ai database—you can do this for free online on the Oracle cloud. 2. Use the notebook linked below for the code. Here is a link to the GitHub Repository with the notebook: Thanks to the Oracle team for the collaboration on getting this video out and for hosting the notebook on their GitHub repository.
8:50

Step-by-step instructions on how to build a RAG system using Oracle + Langchain. The time of the specialized vector store is over. Every major database management system now supports vectors. This is huge! It's one fewer system to worry about, and one fewer component to break. Oracle 26ai comes packed with AI-first features, and I decided to put a simple step-by-step guide on how to use it with Langchain. Check the attached video. You need a couple of things to follow along: 1. Create an Oracle 26ai database—you can do this for free online on the Oracle cloud. 2. Use the notebook linked below for the code. Here is a link to the GitHub Repository with the notebook: Thanks to the Oracle team for the collaboration on getting this video out and for hosting the notebook on their GitHub repository.

Santiago

11,366 次观看 • 8 个月前

He is 19, already built an AI system making $2.3M a year - and now teaches how to do it at Stanford 01:03 - he lost his job at Anthropic because of prompt engineering 09:34 - Context Engineering gives 10x to coding speed 28:47 - Opus 5 builds an AI system making $2.3M a year from scratch after watching I deleted all my prompts and switched to Context Engineering - first $20k+ in a month. Save & watch - the article below is a step by step guide to build an AI system
35:59

He is 19, already built an AI system making $2.3M a year - and now teaches how to do it at Stanford 01:03 - he lost his job at Anthropic because of prompt engineering 09:34 - Context Engineering gives 10x to coding speed 28:47 - Opus 5 builds an AI system making $2.3M a year from scratch after watching I deleted all my prompts and switched to Context Engineering - first $20k+ in a month. Save & watch - the article below is a step by step guide to build an AI system

Noisy

67,465 次观看 • 18 天前

THIS GUY BUILT A SYSTEM THAT GETS SMARTER EVERY TIME HE USES IT AND IT LOOKS LIKE A GALAXY he types one command into Claude Code it finds sources, runs analysis through NotebookLM, saves everything to Obsidian automatically graph in the background is every idea he's ever researched - all linked together system handles the research so he only has to think about what to do with it most people are still copy-pasting into Notion and losing everything by next week full setup in the article
0:48

THIS GUY BUILT A SYSTEM THAT GETS SMARTER EVERY TIME HE USES IT AND IT LOOKS LIKE A GALAXY he types one command into Claude Code it finds sources, runs analysis through NotebookLM, saves everything to Obsidian automatically graph in the background is every idea he's ever researched - all linked together system handles the research so he only has to think about what to do with it most people are still copy-pasting into Notion and losing everything by next week full setup in the article

monokern

45,188 次观看 • 2 个月前

The team at NVIDIA AI Developer really nailed it with ViPE!! This SLAM system generated pose, depth, point clouds, etc, in a few seconds! Now to get the output to work with GEN3C... If you are interested in running this yourself, it took about 5 minutes to get up and running from scratch.
0:28

The team at NVIDIA AI Developer really nailed it with ViPE!! This SLAM system generated pose, depth, point clouds, etc, in a few seconds! Now to get the output to work with GEN3C... If you are interested in running this yourself, it took about 5 minutes to get up and running from scratch.

Jonathan Stephens

34,947 次观看 • 1 年前

I made $5.2M with ONE simple system. The first 2 years I lost everything trying to figure it out. 2018-2019: Blown accounts, emotional trades, same mistakes on repeat. 2020: Finally built a system that worked. 2025 was my best year. I'm not special, I just follow a proven blueprint. That blueprint took me from broke to millionaire. Now I teach the exact strategy I use and how to apply it step by step. Comment ''SYSTEM'' and I’ll send it to you for free. Must follow so I can DM you.
2:01

I made $5.2M with ONE simple system. The first 2 years I lost everything trying to figure it out. 2018-2019: Blown accounts, emotional trades, same mistakes on repeat. 2020: Finally built a system that worked. 2025 was my best year. I'm not special, I just follow a proven blueprint. That blueprint took me from broke to millionaire. Now I teach the exact strategy I use and how to apply it step by step. Comment ''SYSTEM'' and I’ll send it to you for free. Must follow so I can DM you.

Coinvo Trading

43,358 次观看 • 7 个月前

He brought Claude onto Polymarket, and in 3 weeks, made $390,000 Not some magical strategy Just taking a system and fully automating it The data is straightforward: Weekly revenue $151,843 Daily average $9,549 19,000+ trades Win rate 60% What he did can actually be broken down very clearly: First, use poly-MCP to turn Claude into a trading terminal Then connect GPT Researcher to let it find patterns and events on its own Use n8n for automated workflows Have Claude read the price differences between Polymarket and Coinbase Use Huginn to run 24/7 Then use Apprise for notifications Once the whole system is up and running, he barely needs to do any manual work Life goes on as usual, with the bot executing continuously in the background You'll notice one core point: This isn't about "more accurate predictions," but about "a more complete system" Signal → Scan → Judge → Execute → Monitor → Notify All connected seamlessly A 60% win rate isn't actually that high, but under 19,000+ executions, it turns into nearly $10K a day The question is here: Do you think he made this $390K because of the "strategy itself," or because of "turning trading into an automated system"? Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
0:27

He brought Claude onto Polymarket, and in 3 weeks, made $390,000 Not some magical strategy Just taking a system and fully automating it The data is straightforward: Weekly revenue $151,843 Daily average $9,549 19,000+ trades Win rate 60% What he did can actually be broken down very clearly: First, use poly-MCP to turn Claude into a trading terminal Then connect GPT Researcher to let it find patterns and events on its own Use n8n for automated workflows Have Claude read the price differences between Polymarket and Coinbase Use Huginn to run 24/7 Then use Apprise for notifications Once the whole system is up and running, he barely needs to do any manual work Life goes on as usual, with the bot executing continuously in the background You'll notice one core point: This isn't about "more accurate predictions," but about "a more complete system" Signal → Scan → Judge → Execute → Monitor → Notify All connected seamlessly A 60% win rate isn't actually that high, but under 19,000+ executions, it turns into nearly $10K a day The question is here: Do you think he made this $390K because of the "strategy itself," or because of "turning trading into an automated system"? Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

28,791 次观看 • 4 个月前

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.
0:33

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.

Paul Sims

12,202 次观看 • 5 天前

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 55-minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run with graphs. No paid agents course I've taken gets this specific. Watch it, then read the guide below on building the same system with Graphs.
56:06

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 55-minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run with graphs. No paid agents course I've taken gets this specific. Watch it, then read the guide below on building the same system with Graphs.

Codez

81,101 次观看 • 8 天前

🚨 NO WAY… $500K profit with Clawdbot and Polymarket, all automated This is NOT bait and it’s not made up. If you trade on Polymarket, you NEED to see this. He started small, built a fully autonomous system, and scaled it into a machine generating ~$500K in profit No insider access No ties to Trump or Musk Just a developer who integrated moltbot (clawdbot) directly into Polymarket Profile → Copytrade → I reviewed his setup and ngl, it caught me off guard No hype strategies No discretionary trading No human intervention at all The entire system runs fully autonomously His FULL strategy: 1. 15-minute BTC & ETH micro arbitrage The bot trades short-duration Bitcoin and Ethereum markets with 15-minute resolution. Within these fast markets, it exploits moments where YES + NO temporarily price below $1. By integrating moltbot (clawdbot) directly into Polymarket, the system captures these gaps instantly, without prediction or bias 2. Automation over reaction When volatility spikes and emotions take over, the system executes mechanically. No hesitation, no latency, no human delay. By the time most traders react, the inefficiency is already gone 3. Scale through autonomy Each trade earns cents, not dollars. But full automation allows nonstop repetition at massive frequency, with zero fatigue Scale matters 29,256 trades executed, each insignificant on its own. Stacked together, they compounded into nearly $500K in profit Bottom line IMO, there’s a quiet bot war unfolding on Polymarket Manual traders argue setups Machines exploit structure And as long as inefficiencies exist, autonomous systems will keep printing.
0:29

🚨 NO WAY… $500K profit with Clawdbot and Polymarket, all automated This is NOT bait and it’s not made up. If you trade on Polymarket, you NEED to see this. He started small, built a fully autonomous system, and scaled it into a machine generating ~$500K in profit No insider access No ties to Trump or Musk Just a developer who integrated moltbot (clawdbot) directly into Polymarket Profile → Copytrade → I reviewed his setup and ngl, it caught me off guard No hype strategies No discretionary trading No human intervention at all The entire system runs fully autonomously His FULL strategy: 1. 15-minute BTC & ETH micro arbitrage The bot trades short-duration Bitcoin and Ethereum markets with 15-minute resolution. Within these fast markets, it exploits moments where YES + NO temporarily price below $1. By integrating moltbot (clawdbot) directly into Polymarket, the system captures these gaps instantly, without prediction or bias 2. Automation over reaction When volatility spikes and emotions take over, the system executes mechanically. No hesitation, no latency, no human delay. By the time most traders react, the inefficiency is already gone 3. Scale through autonomy Each trade earns cents, not dollars. But full automation allows nonstop repetition at massive frequency, with zero fatigue Scale matters 29,256 trades executed, each insignificant on its own. Stacked together, they compounded into nearly $500K in profit Bottom line IMO, there’s a quiet bot war unfolding on Polymarket Manual traders argue setups Machines exploit structure And as long as inefficiencies exist, autonomous systems will keep printing.

Shelpid.WI3M

985,516 次观看 • 6 个月前

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below
50:12

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Khairallah AL-Awady

39,292 次观看 • 2 个月前

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below
57:23

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Khairallah AL-Awady

86,328 次观看 • 2 个月前

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs
0:24

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs

𝗖𝗛𝗔𝗜𝗡 𝗠𝗜𝗡𝗗 ⛓🧠

82,898 次观看 • 4 个月前

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.
0:35

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

Discover

54,245 次观看 • 5 个月前

THIS GUY BUILT HIS ENTIRE COMMAND CENTER INSIDE OBSIDIAN USING A SINGLE CLAUDE INSTANCE AND NOW HE NEVER LEAVES IT He calls it handro operator Here’s what’s actually running inside: > Live Claude usage tracking (tokens, models and real-time costs) > A ClickUp task queue with Claude generated action suggestions that can be executed immediately > Full calendar sync > A custom intelligence feed for signals and news (AI video, Reddit, frontier research, searchable by keywords and time) > An Intelligence tab with Gmail highlights, Slack activity and Fireflies meeting transcripts > The ability to reply to emails and Slack messages directly from Obsidian without ever leaving the vault He built the whole thing in a single day: Mood board → defined the specs → dropped everything into Claude with one prompt → got a complete dashboard UI kit → fed it back into Claude → Claude mapped and connected everything automatically The article below goes deeper into how to reduce token usage when combining Claude with Obsidian Save both the post and the article - you might end up combining the ideas into a single product later
1:15

THIS GUY BUILT HIS ENTIRE COMMAND CENTER INSIDE OBSIDIAN USING A SINGLE CLAUDE INSTANCE AND NOW HE NEVER LEAVES IT He calls it handro operator Here’s what’s actually running inside: > Live Claude usage tracking (tokens, models and real-time costs) > A ClickUp task queue with Claude generated action suggestions that can be executed immediately > Full calendar sync > A custom intelligence feed for signals and news (AI video, Reddit, frontier research, searchable by keywords and time) > An Intelligence tab with Gmail highlights, Slack activity and Fireflies meeting transcripts > The ability to reply to emails and Slack messages directly from Obsidian without ever leaving the vault He built the whole thing in a single day: Mood board → defined the specs → dropped everything into Claude with one prompt → got a complete dashboard UI kit → fed it back into Claude → Claude mapped and connected everything automatically The article below goes deeper into how to reduce token usage when combining Claude with Obsidian Save both the post and the article - you might end up combining the ideas into a single product later

Bonsai 🌳

21,343 次观看 • 2 个月前

He built Claude Code in 7 days and made $3.2M last month - and in 30 minutes revealed everything you need to know about AI: 00:54 - how Anthropic engineers write prompts 06:14 - Graph Engineering makes AI 10x smarter 14:47 - $100k+/month business built with Opus 5 after watching I deleted all my old prompts and started from scratch - first $20k in a month. Bookmark & watch - read the article below and build your first Graph system
17:54

He built Claude Code in 7 days and made $3.2M last month - and in 30 minutes revealed everything you need to know about AI: 00:54 - how Anthropic engineers write prompts 06:14 - Graph Engineering makes AI 10x smarter 14:47 - $100k+/month business built with Opus 5 after watching I deleted all my old prompts and started from scratch - first $20k in a month. Bookmark & watch - read the article below and build your first Graph system

Noisy

32,505 次观看 • 23 天前

this guy made $10,188.76 using AI. he didn’t get better at editing he got out of editing entirely. here’s the actual system: find a viral video → strip the original captions → feed it to Claude → Claude breaks down the structure and writes a new script → AI generates the visuals, voice, and captions → publish. viral content → extract the idea → rewrite → generate → caption → publish. repeat, without rebuilding the process from zero each time. most people are asking the wrong question. “how can AI help me edit faster” is a 30-minutes-saved question. useful, but small. the better question: “how much of the entire pipeline can I remove myself from?” that’s the actual gap between someone making a little money with AI video and someone making $10K/month with it. it’s not skill. it’s whether you built a system or you’re still the system. saving time on one video is a habit. a pipeline that outputs hundreds without you touching a timeline is a business.
0:39

this guy made $10,188.76 using AI. he didn’t get better at editing he got out of editing entirely. here’s the actual system: find a viral video → strip the original captions → feed it to Claude → Claude breaks down the structure and writes a new script → AI generates the visuals, voice, and captions → publish. viral content → extract the idea → rewrite → generate → caption → publish. repeat, without rebuilding the process from zero each time. most people are asking the wrong question. “how can AI help me edit faster” is a 30-minutes-saved question. useful, but small. the better question: “how much of the entire pipeline can I remove myself from?” that’s the actual gap between someone making a little money with AI video and someone making $10K/month with it. it’s not skill. it’s whether you built a system or you’re still the system. saving time on one video is a habit. a pipeline that outputs hundreds without you touching a timeline is a business.

RUX

21,008 次观看 • 4 天前