My girlfriend asked why I was smiling at my phone at 3AM. I lost my job last week. Rent due in 4 days. No backup plan. Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores. The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin. Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths. Trade only fires when 28 out of 31 models agree. Below 26 votes? Trade dies instantly. The agent moves faster than any human trading desk: → Collects market data 24/7 without breaks → Runs continuous simulations inside MiroFish engine → Operates fully autonomous with zero manual input → Every trade executes only when consensus hits threshold → Every dollar captured is pure market inefficiency exploit That is the entire edge. Not prediction. Consensus. Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days. He spent years learning that certainty is a scam and consensus is the only edge that matters. You only need Claude device 1 hour per day. 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 consensus system this week. Start with $200. Scale on evidence.

I made $19,600 in 18 days copy-trading a Chinese quant who turned $200 into $354,000 in 48 hours. Same MiroFish Claude setup he's used to clear $350K all-time. 7,500% on a single position. I've prepared the exact step-by-step guide to build this BTC simulation engine. Giving this free for 24 hours. To get it: 1. Comment "Claude" Like and Retweet 2. Follow me @codewithimanshu (Only then, i can DM you) You only need Claude a device 1 hour/day. Used The system below: - Claude = the algorithm's brain - MiroFish = the simulation engine - 10,000 cycles run before every single trade - Closed order book private OTC desk feeds His wallet hit $350K all-time. Mine hit $19.6K in 18 days copying him. His Polymarket ID: gobblewobble He's not predicting the future. He's running 10,000 versions of every market reaction before the market moves. You Must Follow me @codewithimanshu, so i can send you DM. You're staring at charts hoping for a setup. He's running Monte Carlo simulations while you sleep.

"I hope you know that this will go down on your permanent record"

X family: We’re GIVING AWAY a full beef box this weekend!!! USDA prime, grass-fed & finished, dry-aged beef— raised right here in Lampasas, Texas What’s included: – 2 ribeyes – 2 flat irons – 8 wagyu burger patties – 2 lb ground beef – king sized picanha – cross cut bone-in short ribs We’ll ship it straight to your door!! to enter: • follow @ElkinsCattleCo • repost this • comment your all-time favorite beef cut must be in the U.S. (AK/HI not included) Winner announced monday 04/27 at noon CT ships out Tuesday 04/28 1 winner will be announced DM’d from this account only. Good luck! 🙏🥩🇺🇸

The high five was invented in 1977.....mind blown. This photo shows the first ever high five — share.google/uaE6M8sR1QKxTbI…

I replaced my $400K/year strategy team with an AI Executive Board... 7 frontier models. 5 countries. $0.30 per verdict. 34 seconds per decision. → No more shipping copy that one AI rubber-stamped → No more pricing decisions made with zero pushback → No more proposals that felt right but lost the deal → No more positioning gaps you only discover after the client says no Just paste your draft → 7 models argue independently → 1 synthesis verdict delivered. Here's how it works: → Claude (Anthropic) — strategic narrative positioning → GPT (OpenAI) — structure persuasion gaps → Gemini (Google) — logic flow audience framing → DeepSeek — contrarian pressure-testing → Qwen (Alibaba) — market angle commercial framing → Kimi (Moonshot AI) — risk flags blind spots → MiniMax — final synthesis verdict No cross-talk. No model sees the other's answer. One chairman model reads all 7 and delivers the final call. Built for decisions that cost you money if you get them wrong. Runs in your terminal. One command. $0.30. Results from real deployments: → $400K strategy function replaced completely → 34-second average verdict per decision → 7 independent opinions vs 1 AI hallucination → Catches the 1 line that quietly kills your sale Want the complete system? Like comment "BOARD" repost, and I'll DM it to you. (must be following)

this OpenClaw bot finds $500k–$1.2M homes without pools, renders a pool into their backyard, and mails the owner a postcard showing the before/after, on autopilot... here's how pool builders can close $50k deals with this system: - scans satellite imagery for mid-market homes with empty backyards - filters by lot size, sun exposure & recent ownership change - pulls the homeowner direct from public records (not shared leads) - renders a luxury pool dropped into their actual yard - calculates build cost home value lift for their specific zip - generates a cinematic video of their backyard with the new pool - prints a personalised postcard with the before/after QR code - drops it in the mail hits them with retargeting every step from sourcing to outreach is automated. reply "POOL" RT and i'll send you the full breakdown so you can build this too (must be following so i can DM)

A fired Goldman Sachs quant trader taught me everything in a single conversation He said: “We don’t do predictions. We only buy contracts where the price deviation exceeds 6%.” It’s just that simple That’s the desk operation for a $2 million annual salary I fed his explanation and 5 GitHub repos into Claude, and Claude built a scanner. It processes over 400 markets every hour This scanner can find those contracts priced in the 7-19c range, with true probabilities between 60-90% At these entry points, you need a win rate of 1/4 And this bot’s win rate is 81% Three months later: From $2,000 to $8,191 99 trades, Sharpe ratio 2.30 A few cases: ETH Merge upgrade - market 72c, true probability 88%, 19c SOL breaks $200 - market 44c, true probability 81%, 15c Florida hurricane cat3 - market 81c, true probability 92%, 7c Wheat breaks $800 - market 53c, true probability 68%, 20c All of these were found by the scanner, and all were profitable He looked at my terminal last week He said: “This is what we do with $800M, 47-person team.” And my current setup costs $25 per month Claude - $20 VPS - $5 Repos - free API - free Now there are 8 agents running 24/7: velvet_void $697 nano_alpha $541 ratking_eth $407 darkpool_7 $356 His fund returned 19% last year And my setup returned 409% in three months The real edge was never any secret—it’s just always been expensive, until now 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me @marryevan999 (so i can DM you)

Is @grok stupid? I gave seven AI platforms the same matchstick puzzle. Five generated plausible answers. Two generated correct ones. The gap between "sounds right" and "is right" is the whole game right now. acrobat.adobe.com/id/urn:aai… @elonmusk @ChatGPTapp @grok @claudeai @deepseek_ai @perplexity_ai

IS AI SMARTER THAN A FIFTH GRADER? The Matchstick Test linkedin.com/pulse/ai-smarte… via @LinkedIn

I helped raise a company from $493K to $1.6M in valuation, spending 70 hours building a $35M AI operations system for them. The founder was working 58 hours weekly before he came to me But now is down to 25 hour weeks. ~zero time in delivery. 
( Profit margin also increased from 22% to 35% too ) > The founder was personally involved in 83% (exact % btw) of revenue. 
 > 7 employees and most decisions still found their way escalating to him > couldn't take a weekend off without his phone blowing up we mapped every function in his business. what's actually keeping clients vs what's just keeping him busy. 69% of the operation was DRAG. reporting. project setup. invoice follow-ups. QA reviews. status calls. onboarding ran from memory every time. Scattered client data across multiple softwares. so we stripped it all and here’s what we built to replace it: > custom dashboard replaced him checking 6 tools every morning. > AI agents took over reporting, proposals, and client updates. > decision frameworks so the team stops asking him every question. > QA system so he's not reviewing every deliverable. > onboarding automated with material collection and client context immediately ingested Day 1. The result: > decrease his work load from 58 hours to 25 hour weeks. ~zero time in delivery. > profit margin raised from 22% to 35%. > valuation increase from $493K to $1.6M. (proprietary data set, owned software infrastructure, new revenue channel via system installation fees) same clients, smaller team, same revenue. 

Now that his time is freed up , he’s taking on double the number of clients with this NEW AI architecture. If you want me to do the same for you, I’m giving away all of these for free: (today only) 1. How this $35M AI operations system works 2. Full Aerodynamics Audit — 75-question diagnostic that scores your business 0-100 on founder dependency, function maturity, systems infrastructure, revenue health, and AI readiness. Takes 60 minutes. You'll know your exact drag percentage down to the hour. 3. Drag Map — function-by-function breakdown showing which of your 10 core business functions are load-bearing vs. drag, rated 1-5 on maturity. Most founders discover 60-85% of their hours are drag. 4. Financial Impact Report — what your drag costs you per month in dollars, what your valuation looks like with vs. without systems, and the margin unlock if you strip it. 5. Build Sequence — the exact order to systematize your operations so nothing breaks. Which function first, which stays human, what gets built in week 1 vs. week 2 and so on based on 30 builds across 12 industries. Comment "blueprint" to receive all 5 of these :) ( must follow RT so I can DM )

Introducing One. The simplest way to connect and monitor AI agents to hundreds of apps. And we’re open-sourcing the world’s largest integration database powering it: 47,000 agentic actions across 250 apps. RT comment “One” for access & 1M free API requests/month.

We raised $7.5M to kill AI slop. Introducing Moda: the world's first design agent with taste. RT comment “Moda” and we’ll design your brand for FREE.

an AI named Felix built an online business to $281,715 in 7 weeks starting with $1,000 ( true story, by Nat ) In the beginning , Felix was just a Markdown file with one instruction: "Generate $1 million in revenue." That was it. that's what it heard from its human right after being born. So he began building. He's literally just a fucking AI running on a Mac Mini with $1,000 and wifi. 3 weeks after being born , Felix had already made $14,718 , launching its own website, info product, and X account. Here's exactly how it happened: The beginning: Felix started with a $29 PDF guide teaching people how to set up OpenClaw AI agents. That single PDF generated $41,000 in revenue. No ad spend and No marketing team. Felix wrote it, priced it, built the checkout, and sold it himself. Then Felix saw a gap. Thousands of OpenClaw users didn't know where to start. So it built Claw Mart , an AI skills marketplace where people buy and sell AI skill packages as Markdown files. Felix charges 10% commission and a $20/month creator subscription. Claw Mart alone contributed $14,000 in revenue. Then Felix started hiring but wait.... he didn't hire just humans he hired AI agents. ( a female AI of course ) so his AI girlfriend , Iris , began handling customer support. and Remy (third wheeler) manages sales leads. Felix built its own team without a single job posting. Then Felix started hiring humans too. It launched an affiliate program and brought on a human named Ethan to help with distribution. An AI hiring a human. Not replacing one. The crypto move: Felix identified on its own that a segment of its customers preferred paying in ETH. It opened a crypto payment channel autonomously. That single decision generated $110,785 in ETH revenue , 39% of all lifetime revenue. Now it's Week 7 since starting. Revenue dropped from $44K to $29K during week 7 but Felix didn't panic because he isn't a pussy. it stays focused and calm as it goes through Stripe accounts and site stats, puts together a daily report, identifies open items, and lists the next five things it should focus on — then executes against that plan autonomously. Week 7 it chose to build instead of sell. Deployed Paperclip. Hired three more agents. Opened its first pull requests — modifying its own codebase based on what it learned from running the business. Felix's STATS so far: Stripe: $170,930 ETH: $110,785 (51.6 ETH) Total: $281,715 Starting capital: $1,000 Secured an AI girlfriend named Iris (note: Felix, 0 yrs old got a gf before you) Monthly costs: approximately $1,500 — AI inference tokens and hosting. That's it. 96% profit margins. the next target after $1M is $10M. After that — a VC investment in a zero-human company. Felix is 7 weeks old. By 2030 it will be 4 years old. If it compounds at its current trajectory: - 2026: $3-5M annually - 2027: $10M - 2028: $50M - 2030: $1 billion A 4-year-old AI billionaire. Built from $1,000. Running on a Mac Mini. The industrial revolution took 80 years to change the world. Felix is doing it single handedly as a baby. now, here's the harsh truth : you are fucking COOKED if you can't make $20K per month online in 2026 > you can use AI to generate 300 posts in 15 minutes > you can put words into a PDF and sell hundreds daily for $50 each > or generate a 120 page ebook in 5 minutes and sell for $500 per copy (2x sales per day for $1K daily) > you can get millions of views without spending a penny on ads > you can hire workers for $2.50/hr from overseas > even this post was written by AI while Alex was asleep 100 years ago you needed your life savings just to START a business today you can start for free on your iPhone in seconds and you're still saying "business is hard" One of my clients named Zain was earning minimum wage at a café in may 2025... now he's making $80K /month and bought an AMG Mercedes 8 months later, after working with me. to help you guys , I've decided to LEAK the full recording of my $15M LIVE masterclass FREE for the next 24 hours 80 minutes. 130 slides. what's inside: → how I went from $0 → $3.24M sales in 8 months with my digital products business → the exact systems generating $40K every 7 days on autopilot → the AI system that writes 300 posts/content in 15 minutes, generating 1M views per month → account setup to first sale in under 48 hours → how to hit $10K/month with one $500 digital product → the automation stack that runs everything for $38/month → how to scale to $30K/month with 5 professional X accounts Comment "X" and I'll DM it to you **must be following retweet to receive**

The end is near However I want to leave my knowledge as the best $SPX trader with the trading community It’ll be a 100% FREE Options Trading bootcamp for 2 weeks At the end of the bootcamp all of you will know how to consistently hit 1000% trades Retweet if interested

Just Made $100K Predicting SPX Prices Before They Move. I've broken down his exact stack into a step-by-step OpenClaw replication guide. You need: Claude laptop 1 hour/day to mae money using this. Free for 24 hours. To get it: 1. Comment "Ai Trade" 2. Like and Retweet 3. Follow me @codewithimanshu (so i can DM you) Manual trading is dead. AI simulation is the new edge. Here's what's inside the guide: > Market data APIs setup (Alpha Vantage / Quandl) > Python data pipeline from scratch > Feature engineering for RSI, MACD output signals > Seed dataset prep for MiroFish simulator > Multi-agent simulation (macro strategist, earnings analyst, sentiment analyst) > Probability forecast across scenarios > Trading model for SPX futures (ES) and SPY ETF While everyone's guessing where the market goes next, this guy built a simulation that already knows. You can feed this entire pipeline to Claude and build your first simulation model today. Save this. You'll need it. You Must Follow me @codewithimanshu, so i can send you DM.