monitorjl @monitorjl

@maverickecom CLAUDE

BREAKING: GOODBYE BCG. BYE MCKINSEY. HELLO CLAUDE OPUS 4.8 (ECOM METHOD) We compiled 5 insane Enterprise BCG-style skills that push Opus to its limits and turn Claude into a MBB-grade consulting engine 1/ A brand rulebook system Your voice, your products, your offers, and for peptide and telehealth, your compliance lines, written once. Claude stops guessing, stays on message, and never crosses a claim line. 2/ An authority-figure system A doctor, a wellness guide, a herbalist. One locked face and voice, never changed. Claude does not make random videos. It builds a person your buyer trusts and brings back every day. 3/ A hook-library system The winning first lines, saved and reused. The hook decides if a video gets 200 views or 200,000. The AI tests dozens a week, banks the winners, and hands them to your human creator team. 4/ A content-volume system Not one account. A roster. Hundreds of shoppable videos a month, each one a fresh shot at a winner, with no film crew and no wasted samples. 5/ A comment-to-DM funnel system The video says "comment GUIDE." 6/ A posting-automation system Accounts warmed like real people, then posting daily on a schedule. It runs whether you remember or not, and never has an off week. 7/ A weekly data-review system Every Monday the winners get more budget and the losers get cut. The AI is the lab. The data picks what scales, not your gut. This is not AI giving generic content advice. This is the exact system that took a brand from a standing start to $500K in 90 days. Want access to all 7 AI UGC scaling systems? 1️⃣ Comment "CLAUDE" below 2️⃣ DM me "CLAUDE" if we're not connected (comment first) 3️⃣ Like this post 👍 P.S. Repost for priority access ♻️

@AlfieJCarter STACK

R.I.P. paying full Opus prices for every single AI task. A properly routed open-source Claude stack can replace $200+ a month in frontier model spend. It is not as easy as just swapping the model name and hoping for the same output. But if you start today, you can have GLM 5.2 wired into Claude Code, a local model running on your machine with zero token cost, and your first autonomous loop built, verified, and running unsupervised by end of this week. I usually charge $99 for access to this playbook but today, it's free. Like this post + comment 'STACK' and I'll DM you the full guide for free. The guide covers three things. How to set up local models on your hardware in 15 minutes using Ollama, which model runs best at your RAM level, and the decision engine that tells you which of your tasks belong on local, which go to a cheap API like GLM 5.2 at $1.40 per million tokens, and which 20% actually justify Opus. How to wire GLM 5.2 into Claude Code in under 5 minutes by editing one JSON config file so the same harness, skills, and workflows you already have run on a 5x cheaper engine for 80% of your tasks. How to stop prompting and start building loops. The 4-condition test that tells you which tasks are ready to loop, the four blocks every loop needs, and the copy-paste prompt that builds your first loop orchestration skill with training mode, memory, and a verification step included. (Must be following, or I can't message.) Taking this down in 48 hours.

@Jacobsklug NATIVE

@TommiPedruzzi Claude

Delete Tiktok Delete YouTube Delete Instagram You can make $3,000/month using Claude to build Digital assets. It’s boring... but if you start today, you could make $3,000 by the end of July. I’ll send you a free training showing exactly how to do it. Just like this post and comment “Claude.” (Make sure you follow.)

@codewithimanshu Claude

This Chinese quant built a simulation of how SPX price reacts to any global event. Made over $100K with full blockchain proof. He knows exactly where price will go. I found his wallet. Reverse-engineered the entire system. Then used Claude new Fable 5 rebuild it in under an 1hr. Here is what he actually did. Loaded 40+ years of SPX trading history into MiroFish simulator. 18K stars on GitHub. Open source. Agentic framework. AI analyzed every single moment in that trading history. Now he has a fully functional SPX price prediction system. Dozens of successful SPX trades. Hundreds of tests across other stock markets. Here is exactly what the stack looks like: → Market data APIs for SPX price (Alpha Vantage or Quandl) → Data pipeline built in Python → Feature engineering for output signals like RSI and MACD → Seed dataset for MiroFish (convert data into structured context) → Multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents) → Probability forecast running different scenarios → Trading decision model (SPX futures ES, SPY ETF) The agents do not predict. They simulate. They run every possible market reaction to news, earnings, Fed moves, geopolitical events. Then they converge on the highest probability outcome. Trade only fires when all agents agree. I rebuilt this exact pipeline with Claude Fable 5 (Mythos) Fed it the framework. Connected the data sources. Let it simulate. The agent monitors SPX patterns 24/7. Runs scenarios in real-time. Alerts me when convergence hits. You can feed the whole thing to Claude and build your first simulation model together. Even a small one. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "Claude" 2. Like and retweet this 3. Follow me @codewithimanshu so I can DM you Save this post. Build the simulation system this week. Start with paper trading. Scale on evidence.

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Himanshu Kumar @codewithimanshu

4 weeks ago

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like

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@AlfieJCarter OS

@Tanmoy_ai Need

@heygurisingh Send

@AlfieJCarter hermes

@NusratJaha07 @AshikNewazAJ Send

🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pro 💰 1000 AI Credits/Month 🎬 Veo 3 + Flow AI + Whisk 📚 NotebookLM 📩 Gmail & Docs Integration To Enter: 1️⃣ Follow @NusratJaha07 2️⃣ Like & RT 3️⃣ Comment “ Send ” ⏳ 48 Hours Only.

@Claudiashein Deberia Ir Mexico a negociar con China, con el Top de s empresarios mas importantes de Mexico a China asi como lo hace Trump. Porque ellos si pueden negocioar con los Chinos y USA no quiere que Mexico haga tratos con China. Es hacerlo ya que Altagracia organice un Comite

@codewithimanshu CLAUDE

A 35-year-old marketer from Hong Kong quit his job and got deeply into AI. Using Claude, he made $360,000 in just ONE month. He built a perfect BTC price simulation engine with MiroFish. Claude as the algorithm's brain. $5,000-$15,000 profit per trade. I made $28,200 in 21 days copy-trading him. I've made the exact build guide. Giving It Free for 24 hours. To get it: 1. Comment "CLAUDE" 2. Like and Retweet 3. Follow me @codewithimanshu (Only then, i can DM you) You only need Claude + a laptop + 1 hour/day. The wallet that started this. His Polymarket handle: marketing101. A quiet joke about his old career. $366K all-time profit. Constantly fades the crowd because his simulation reads the market better than everyone else. I reverse-engineered his stack. Had Claude rebuild the same simulation engine. 20 minutes. Done. What the bot actually does: → Pulls live BTC data from Binance + Coinbase + Bybit WebSockets → Pulls closed order book depth most retail traders never see → Cross-references private OTC desk feeds for institutional flow → Feeds the entire context into MiroFish force-graph engine → Runs 10,000 simulation cycles before every single trade → Detects mispricing the moment Polymarket diverges from real BTC value → Executes when simulated edge exceeds 5% probability gap → Skips when liquidity thin, signal conflicts, or daily cap hits → Auto-rebalances position sizing based on Bayesian win-rate updates What makes this different from every retail bot: → Closed order book data, not just public Binance feed → Private OTC desk integration (institutional-grade alpha) → 10,000 Monte Carlo cycles per trade (most bots run zero) → Claude reasons over every signal in real time → Already elite alpha. Already public proof. Risk controls baked in: → Per-trade risk: half-Kelly sizing → Daily cap: 2% of bankroll → Auto-halt on 5 consecutive losses → Paper mode default. Live requires explicit flags. → Runs on local terminal. No cloud. No GPU. The setup checklist: → Polymarket wallet on Polygon. USDC funded. $500-$1,000 to start. → CLOB API key from docs of polymarket → Claude API key for the simulation reasoning → MiroFish setup (open source, 18K GitHub stars) → Telegram bot for live alerts The deployment path: → Generate the simulation engine with corrected prompt in Claude Code → Python 3.11+, virtualenv, pip install → Run paper mode for 7 days minimum → Need 200 trades, 75%+ win rate, 0 crashes before going live → Deploy to $5/month VPS for 24/7 uptime → Start live with $100. Scale after 50+ live trades. The edge: → Not "guessing where the chart will go" → Pure fusion of AI + MiroFish + insane math on exclusive data → Profit captured from running 10,000 versions of every market reaction before the market moves The expiry date: → Polymarket detects whale convergence patterns → Closed order book data leaks into public feeds → Multi-simulation setups become standard → Window closes within 12 months He's not predicting the future. He's running 10,000 versions of every market reaction before the market moves. You're staring at charts hoping for a setup. He's running Monte Carlo simulations while you sleep. Don't want to build it? Copy his wallet directly with even $10: Polymarket is not legal for US residents. Check your country first. Save this post. Build the simulation engine this weekend. Start with $100. Scale on evidence. You Must Follow me @codewithimanshu, so i can send you DM.

Himanshu Kumar @codewithimanshu

2 months ago

Anthropic's applied AI team just dropped a 24-minute workshop on how to actually prompt Claude properly. Free. From the people who built it. You've been prompting Claude for months without the 6 elements they teach in this. I built a skill that applies them

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@dan__rosenthal PDF

@expertwith_AI @AshikNewazAJ FOUNDER