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 lost my job yesterday.
Rent was due.
No backup plan.
Then I remembered I still had Claude.
Asked it:
“Analyze every top Polymarket wallet from the last 90 days and build me something”
$25 → $4,237 in one night.
It scanned 10,000 wallets.
Cross-referenced win rates, sizing, timing.
Found 7 traders whose edge wasn’t luck.
Then built an autonomous agent.
Not a script.
Not an if-then bot.
An agent that reads live news,
maps it to markets,
detects mispricing,
and exploits arbitrage across outcomes.
Sizes every position using Kelly.
I deployed it at 11:47PM.
Closed the laptop.
Woke up to:
$25 → $4,237
94 trades while I slept.
No input.
No hesitation.
No second-guessing.
That’s the game.
Information asymmetry at machine speed.
Wall Street pays millions for this.
I pay $20/month.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'AutoPilot'
2. Like and Retweet this post
3. Follow me @marryevan999
Bro created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job.
AND IT'S NOW OPEN-SOURCE.
It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has:
> 14 skill modes (evaluate, scan, PDF, ...)
> Go terminal dashboard
> ATS-optimized PDF generation via Playwright
> 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...)
Giving This Free for 24 hours. To get it:
1. Comment the word 'NEED'
2. Like and Retweet this post
3. Follow me
@ZayvenKnox
(so i can DM you)
You only need ChatGPT + a laptop + 1 hour/day to make $8,500/month.
I’ve prepared the exact step-by-step guide.
Normally $179, but it’s free for 24 hours.
To get it:
1. Follow me (So I can DM you )
2. Retweet
3. Reply " Need"
Must follow me to get DM. Free for 48 hours.
Il 96% delle aziende usa già agenti AI in produzione. Solo il 12% li governa davvero. Questo numero mi ha fermato. Non perché sia sorprendente — lo è per chiunque abbia lavorato su deployment reali. Ma perché lo dice un'indagine su 1.900 IT leader globali, non un paper accademico. È la fotografia del presente. La chiamo la trappola del volume: deployiamo agenti perché possiamo, non perché sappiamo come controllarli. E il 94% degli stessi executive dichiara che lo sprawl sta aumentando complessità, debito tecnico e rischio di sicurezza. Lo sanno. Non agiscono. C'è qualcosa di strutturalmente sbagliato in questo pattern. Quando i CIO mi dicono «siamo in produzione con gli agenti», la prima domanda che faccio è: quanti ne avete? La seconda: chi risponde se uno di loro prende una decisione sbagliata? Nel settore energetico — dove opero — un agente che gestisce un workflow di procurement o di demand forecasting non è un esperimento. È un attore con accesso a sistemi critici. Se non sai cosa sta facendo, non hai un'AI strategy. Hai un problema che non hai ancora visto. Il vero rischio non è l'AI che sbaglia. È l'AI che sbaglia in silenzio, per settimane, mentre nessuno ha gli strumenti per accorgersene. Deployare senza governare non è innovazione. È procrastinazione del rischio. #AIAgents #AgenticAI #AIGovernance #EnterpriseAI #Utility