find me https://xitter.cf/t.co/R5eS9Wh4ji
SF Bay Area, CA
Joined February 2007
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Stephen Schwerdfeger retweeted
Voy a dejar mi trabajo para dedicarme al 100% a Claude.
Le pedí que hiciera esto:
Analizar mercados mal valorados en Polymarket para encontrar oportunidades de arbitraje y detectar las wallets que las están aprovechando para copiarlas.
Convertí $2K en $11K de la noche a la mañana.
Monitorizó +1.000 wallets.
Me di cuenta de algo muy rápido.
Hay bots de arbitraje contra los que no puedo competir sin saber programar.
Pero sí puedo encontrarlos. Y copiarlos.
Claude me construyó un terminal de monitorización conectado a un bot de copytrading en Telegram.
No es un script. Ni siquiera un bot.
Es un agente de IA que mejora cada vez que encuentra una nueva wallet.
Analiza el comportamiento de cada wallet. Cómo opera. Sus patrones de arbitraje. El tamaño de sus posiciones. El momento exacto en el que entra.
• 70% de tasa de acierto.
• 7 wallets copiándose ahora mismo de entre más de 500 monitorizadas.
El bot nunca se detiene. Nunca apuesta. Solo sigue las matemáticas y busca beneficio.
Solo necesitas:
• Claude
• Un dispositivo
• 1 hora al día
Lo voy a compartir gratis durante las próximas 24 horas.
Para conseguirlo:
1. Comenta “claude”
2. Dale like y haz RT
3. Sígueme en @igus_ai para que pueda enviártelo por DM
Stephen Schwerdfeger retweeted
A 67-year-old grandfather in Vermont built a trading bot during retirement - it earned him $290,000 in a single year without losing a single trade.
168 trades. 100% win rate. Zero drawdown across 365 days.
The strategy is so safe it's basically a bond ladder - but with AI doing the probability math instead of credit
Here's how it actually works:
He only takes bets the model is >85% sure of. Everything else? Killed.
188 events scanned per day. ~12 pass the filter. ~1 actually deploy.
AI algo waits. Most days he doesn't trade at all.
The probability model is stolen from weather forecasting: 31 models vote on every outcome. 28 out of 31 saying "yes" = 90% conviction. Below 26 = automatic reject.
That's the entire edge.
Polymarket is full of 87-92¢ markets that almost always settle at $1. Most traders ignore them - upside per dollar looks tiny.
The math:
edge = model_p − market_p
kelly = edge / (1 − token_price)
size = bankroll x kelly x 0.15
The stack runs free: Polymarket Gamma API for discovery, ClickHouse + Redpanda for the pipeline, paper mode validation before live capital.
Brier score 0.041 across all 168 predictions. Anything under 0.10 is institutional-grade. He's printing the academic numbers.
Most boring account on Polymarket. Also the most profitable - so save this post.
And if you’ve been looking for the most safest strategy to copy - you’ve definitely found it.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment Your thoughts .
2. Like and Retweet this post
3. Follow me
@ZayvenKnox
Stephen Schwerdfeger retweeted
Nobody noticed this wallet on Polymarket.
Gravia.
Chinese student. Lives in Japan. Joined 2 days ago.
$0.90 starting balance.
$408,292 two days later.
He built the entire system with Claude.
One market: BTC UP/DOWN 5MIN
The framework:
Binance WebSocket feeds real-time spot price + 5-minute candles into the system.
TradingView signals cross with CryptoQuant exchange flow data.
A force-graph runs 100 nodes and 180 connections to detect BULL/BEAR convergence in real time.
The bot compares spot price to Polymarket CLOB.
When it detects a delay, it executes in under 100ms.
Before the order book reprices.
1000+ orders per second if needed.
0.3% to 0.8% captured per trade.
But here is what separates this from gambling:
The bot refuses to trade when:
→ Edge does not exist
→ Liquidity is insufficient
→ Signals contradict
→ Daily risk cap is hit
Risk parameters:
→ 0.5% per trade
→ 2% max daily exposure
→ Hard stop at -0.4% loss
→ Runs on a laptop
→ No GPU
→ No cloud servers
This is not about predicting Bitcoin.
It is about detecting when Polymarket pricing lags behind spot by 100 milliseconds and executing before the gap closes.
Most people trade on 5-minute charts and think they are fast.
This system operates in the space between spot price movement and order book adjustment.
That window lasts less than a second.
$408K in 48 hours from $0.90.
All from capturing microsecond inefficiencies that most traders cannot see.
You only need Claude + WebSocket access + risk controls.
Giving this free for 24 hours.
To get it:
1. Comment BUILD
2. Like and Retweet
3. Follow me @codewithimanshu so I can DM you
Save this post. Deploy the latency detection system this week. Start small. Scale on evidence.
This trader built a Quant bot with Claude and pulled $218,425 in 64 days.
No team. No office. No Bloomberg terminal.
Just Claude + Polymarket API + one repeatable pattern.
The wallet started April 5th.
48,018 predictions executed.
31 trades per hour.
52% win rate.
$304.8K deposited → $372K total.
+71.7% ROI.
Average profit: $3,413 per day.
Most traders try to predict the future.
This bot reads what just happened and moves before the market reprices.
The entire system runs on one logic:
→ News breaks
→ Polymarket odds take 30 to 90 seconds to adjust
→ Bot enters during the lag
→ Exits before repricing completes
No predictions. No chart reading. Pure speed arbitrage.
Biggest wins:
$149 became $13,450
$204 became $8,905
$88 became $8,434
Same setup. Same entry pattern. Repeated 48,000 times.
The edge is not finding one perfect trade.
The edge is finding one mispricing and running it until the window closes.
Claude monitors:
→ Bloomberg feeds
→ Reuters terminal
→ Order book depth
→ Historical lag patterns
Executes through CLOB API.
Zero manual intervention.
The bot wakes up. Scans. Executes. Closes. Repeats.
$3,413 per day for 64 days straight.
You only need Claude + device + 1 hour to build.
Giving this free for 24 hours.
To get it:
1. Comment QUANT
2. Like and retweet this
3. Follow me @codewithimanshu so I can DM you
Save this post. Build the lag arbitrage system this week. Start with $500. Scale on evidence.
Stephen Schwerdfeger retweeted
HE SHOWED HIS GIRLFRIEND A TERMINAL AT 4AM AND IT WAS ALREADY UP $11,400 WHILE HE SLEPT.
Claude scanned 86 million trades, found the whales that never lose, and built a bot that just keeps printing.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'Claude'
2. Like and Retweet this post
3. Follow me
@ZayvenKnox
(so i can DM you)
Stephen Schwerdfeger retweeted
Software engineering student. 21 years old. Lives in a dorm in Ankara.
Spent one month writing code.
First night the bot ran: $14,000 profit.
He sat there staring at the screen. Refreshed twice. The number did not change.
It actually worked.
He explained the setup to me. Simpler than I expected.
Three tools:
OpenAI Codex
Claude Opus 4.7
Polymarket CLOB API
The logic:
Major news hits. Polymarket probability adjusts in 2 to 3 seconds. But the orderbook is still filled with limit orders at the old probability.
That gap lasts 30 to 90 seconds.
The bot monitors Bloomberg and Reuters. Scores every headline. Applies the formula:
ΔP(t) = α · news_score · e^(-λt)
α measures market sensitivity to news type.
λ measures how fast the information propagates.
Enter during the lag. Exit before the market reprices.
Fully automated. No manual Claude prompt. No human decision. Pure execution through the CLOB API.
He is clearing $50K to $70K monthly now.
$600K annualized run rate.
From a dorm room.
One month ago his entire setup was:
Laptop
Claude Pro subscription
Polymarket API key
No VC funding. No algorithmic trading background. No finance degree.
Just focused building and one working formula.
Most traders try to predict what will happen next.
He built a system that reacts to what just happened before anyone else can.
The window is still open. The APIs are free. The formula is math.
You only need Claude + device + 1 hour to build.
Giving this free for 24 hours.
To get it:
1. Comment "STUDENT"
2. Like and retweet this
3. Follow me @codewithimanshu so I can DM you
Save this post. Build the reaction arbitrage bot this week. Start with $300. Scale on evidence.
Stephen Schwerdfeger retweeted
An Anthropic engineer paid for my espresso at Sightglass when he saw my screen
I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling.
"That's not a normal trading app. What's it actually running on"
I told him. Claude Code. Four repos. $25 a month.
He sat down without asking.
"I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges"
Not just edges. Wallets.
86 million trades. Every wallet. Every entry. Every exit.
"You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them"
He said it slowly. Like he was writing the threat model in his head.
One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50.
Claude scanned 14,000 wallets in 4 minutes. Returned 47.
The top 20 made more than the bottom 13,000 combined.
"That's not a stat. That's a hit list"
Exactly.
"And you didn't write the scoring function"
Claude did. I just wired it into an if-statement.
Then I showed him the second repo.
Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes.
Gap. Depth. Resolution window.
487 markets become 35 before a dollar moves.
93% killed before I even see them.
A green fill landed on the screen. +$84.
He watched it hit.
"How does it decide to actually enter"
Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade.
Consensus filter alone killed 40% of losing trades.
"And the exits?"
The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately.
My bot cuts at 85% of expected move or on a 3x volume spike.
"You built a whale copy bot that exits before the whales"
Yeah.
He put his espresso down.
"How often does it trade"
10 a day on average. Most of them skipped before I look up from my coffee.
My setup:
Claude API - $20/mo
VPS in Germany - $5/mo
poly_data - free
polymarket-cli - free
Polymarket/agents - free
$200 seed. 27 days ago. $14,300 now.
Copytrade here: t.me/KreoPolyBot?st…
271 trades. 74% win rate. Sharpe 2.47.
I haven't touched it in 27 days.
He stared at the screen for a long time.
"This is literally what our red team simulates. Except you actually shipped it"
He emailed me the next morning.
"Any chance you'd take a call with our policy lead"
I told him the article is the call. Read it twice.
Too late to gatekeep.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'Claude'
2. Like and Retweet this post
3. Follow me @ZayvenKnox [so i can dm you]
Stephen Schwerdfeger retweeted
My friend said you will never make real money on Internet.
A month later I sent him this profile.
$38,700 profit in one month.
He asked me to explain how. I did not reply.
But I will tell you:
NOAA is not the weather app on your phone. It is a federal supercomputer with 40 years of satellite data running atmospheric models 24/7.
Forecast accuracy at 24-48 hours: above 94%.
Meanwhile people on Polymarket open AccuWeather and guess.
The gap between them is the profit.
NYC, Saturday: NOAA says 93% chance of hitting 74°F. Polymarket is selling that bucket at 9 cents.
Clawdbot spots that gap in seconds.
Buys at 9 cents. Science is right. Market corrects to 54 cents. Sells.
6x return on weather without a single prediction.
I gave the bot $100 and went to sleep.
By morning it had already made 31 trades while I was resting.
Dallas heatwave. Chicago cold snap. Miami humidity bucket. Every 2 minutes it scans 6 cities looking for where the market disagrees with science.
Only buys below 15 cents.
Only sells above 45 cents.
Never more than $2 per position.
Risk always under control.
This is not trading. It is arbitrage between people with a phone and a NASA supercomputer.
3,100+ trades
79% win rate
+$38,700 in one month starting with $100
My friend still thinks you cannot make real money on Polymarket.
Clawdbot has already made money off his ignorance.
I built the entire framework:
NOAA API integration
Weather bucket mispricing detection
Automated position sizing
6-city continuous scanning
Arbitrage execution layer
The system runs 24/7. Finds where science disagrees with the crowd. Executes before the gap closes.
No emotions. No predictions. Just data arbitrage.
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. Deploy the NOAA arbitrage system this week.
Start with $100. Scale on evidence.
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.
Stephen Schwerdfeger retweeted
Met my girlfriend's parents for the first time.
Her dad asked what I do for work. I said I build trading systems.
He said like Wall Street?
I said no. 6 AI agents. They work while I sleep.
He laughed. So robots are making you money?
I did not argue. I opened my laptop.
Showed him the terminal. 6 agents running.
47 mispriced markets caught in the first week alone.
His face changed.
That is not gambling. That is automation?
Exactly.
Then I showed him how it works. Built the whole thing in 6 hours.
Agent 1: Monitoring
Runs 24/7. Watches Polymarket for mispriced markets. Spots an anomaly. Writes to memory and pings me on Telegram instantly.
Agent 2: Research
Parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I check my phone.
Agent 3: Trading
Reads the research agent memory. Sees the market has not reacted yet. Acts. Execution tool in gateway mode with a whitelist. No full access on a live server.
Agent 4: Watchdog
Heartbeat every 5 minutes. Monitoring running. No errors. Positions up to date. Something breaks. Immediate Telegram message.
All of this. One Gateway. One config file. Isolation via per-agent scope.
The token trick: stopped dumping everything into one file. Critical rules in bootstrap. Markets, patterns, past trades in memory. Semantic search pulls it when needed.
Token spend dropped 3x. From $0.40 per request to $0.13.
First week running:
→ 47 mispriced markets caught before Polymarket adjusted
→ Average entry edge 8 to 12 cents per position
→ Watchdog fired 3 times and caught a broken RPC before it cost me anything
The whole system is plain text files. Open an editor. Change one line. Agent behaves differently. No deploy. No build.
Her dad went quiet. Then he asked can you teach this?
Her mom asked for the setup guide.
I built the entire framework. Six agents. Full deployment. Memory architecture. Telegram alerts.
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. Deploy the 6-agent system this week. Start with $200. Scale on evidence.
Stephen Schwerdfeger retweeted
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.
Eugenie Bouchard Reacts in Disbelief as Olympian Makes Wild Cheating Confession Moments After Bronze Medal Win profootballnetwork.com/tenni… via @PFN365
What makes Bouchard think ANYONE on the planet gives a crap what she thinks??
Stephen Schwerdfeger retweeted
f*ck it, i'm leaking my complete app building system...
for only 24hrs, you get access to:
- my full vibe coding setup with Anything AI & Max
- 10 validated app ideas i was gatekeeping
- how to go from 0 to $10k/month with the setup
basically the entire workflow for building apps with an autonomous AI engineer
reply "MAX" + RT & like and i'll send it over (must be following so i can dm)
Stephen Schwerdfeger retweeted
I just built 3 production-ready MVPs in 15 minutes from my phone.
No code. No $100K engineer. No laptop.
Just AI that actually ships real apps with databases, APIs, and backends.
This isn't a toy. This is the future.
Here's what I built:
→ Personal finance tracker (5 min)
→ AI image generator with Nano Banana API (4 min)
→ Smart note-taking app (6 min)
All live. All deployed. All from my iPhone.
But here's the crazy part:
Most people will never build these because they think they need to "learn to code first."
That's dead thinking.
I created a complete guide with:
✓ Exact prompts I used for all 3 apps
✓ 100 app ideas (organized by category)
✓ Pro tips from building 100+ apps
✓ Step-by-step tutorials anyone can follow
✓ How to use Boost, Fix Mode & Credit Care
✓ Community success stories & patterns
Traditional cost for these 3 apps: $16K-25K
Time: 6-12 weeks
My time: 15 minutes and free credits
Like, RT + comment "BUILD" and I'll DM you:
→ The complete Notion guide
(Must follow so I can DM)
While others look for developers on Upwork, you'll have already shipped.
Stephen Schwerdfeger retweeted
🚀 The Complete Guide to Building AI Agents, From Zero to Production
AI agents are the next era of automation — systems that plan, think, and execute tasks like humans 🤖
This isn't hype anymore. It's happening.
I put together a complete walkthrough that shows you how to go from beginner → production-ready agent builder, including:
✅ Core concepts explained simply
✅ Agent architecture & planning systems
✅ Tools & frameworks to use
✅ Real production examples
✅ Deployment & monetization steps
If you want the guide, do this 👇
1️⃣ Like & Repost
2️⃣ Comment “AI”
3️⃣ Follow (so I can send you the guide)
Stephen Schwerdfeger retweeted
🚀 The Complete Guide to Building AI Agents, From Zero to Production
AI Agents are the next big leap in automation, they can think, plan, and execute tasks just like humans 🤖
This guide takes you from basics to building real, production-ready AI Agents — step by step!
To get your copy 👇
Like & Repost
Comment “AI”
Follow (so I can DM you the guide)
Stephen Schwerdfeger retweeted
This Resume has an ATS score of more than 92🤯
This Resume helped many in getting an interview calls from companies like Google, Microsoft, Amazon, and many more.
I have personally used this single-column resume in my job hunting and got amazing results
I am sharing the exact similar editable ATS Friendly Resumes templates!
To get it:
1. Follow me @Code_Siam (So that I can DM)
2. Like & Repost
3. Reply "Resume"
Follow me so I will dm immediately 💯
Stephen Schwerdfeger retweeted
Last day to show your interest in Alpha ⬇️
#NewTwos is closer than ever ⏳
And here's your LAST chance to get Alpha Access...
1) Like + Repost
2) Reply with your favorite *thing* about Twos
3) Follow us so we can DM you
We'll pick 10 people in two days ✌️🙂
Stephen Schwerdfeger retweeted
#NewTwos is closer than ever ⏳
And here's your LAST chance to get Alpha Access...
1) Like + Repost
2) Reply with your favorite *thing* about Twos
3) Follow us so we can DM you
We'll pick 10 people in two days ✌️🙂
Stephen Schwerdfeger retweeted
#NewTwos is getting real 👀
And here is your chance to get Alpha Access...
1) Like + RT this
2) Reply why you would be a good fit
3) Follow us so we can DM you
We’ll pick up to 10 people in Twos days✌️🚀
Been catching up on live coding videos. Is there a different discord for the live coding?? Am interested in keeping up with the project, but can’t often watch live. Where can I get the TestFlight for the live coded version? Thank you
Stephen Schwerdfeger retweeted
This new AI hack is wild.
People are getting 10x better ChatGPT results just by changing how they prompt.
I made a guide: Mastering Prompt Engineering with tips, examples, and shortcuts.
Normally $29... but I’m dropping it for free today 👀
Follow, RT + reply “Guide” and I’ll DM you the guide.
