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Lady Developer, type of girl I wish the younger generation can aspire to be. Congrats @TMuseza for further pushing yourself to represent all the </D!VAlopers> from @MuzindaHub. Go shine hun. Go shine.
Hazel Chikara retweeted
ESTO ES JODIDAMENTE LOCO
Este tipo explicó cómo creó 3 sitios web que le generan $130,000 al mes
En 25 minutos, muestra cómo lo hizo, paso a paso. Totalmente gratis.
Idea → Web → Monetizar
Guarda esto, me lo agradecerás después 🔖
Hazel Chikara retweeted
My dad called Claude “a toy for people who can’t trade.”
He’s been trading for 20 years.
I didn’t argue.
I just turned the monitor toward him.
He read the results twice.
“…That can’t be right.”
27 days.
$200 → $25,400.
74% win rate.
Sharpe 2.47.
While 92% of traders lose money, a tiny fraction quietly extracts millions.
Then I showed him why.
86M+ Polymarket trades analyzed.
Every wallet.
Every entry.
Every exit.
One Claude prompt:
“Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit.”
14,000 wallets scanned.
47 elite wallets found.
The top 20 earned more than the other 13,000 combined.
He looked at me and said:
“That’s not data. That’s a treasure map.”
But that wasn’t the real edge.
Three independent AI agents vote on every trade.
✅ 2 agree → Full position
⚠️ 1 agrees → Half position
❌ No consensus → No trade
That one rule eliminated nearly 40% of losing trades.
Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices.
One wallet grew $35K into $442K.
73 live dashboards handle everything:
• Whale tracking
• Insider detection
• Wallet clustering
• Signal scoring
• Arbitrage opportunities
• Smart money monitoring
No emotions.
No guessing.
Just data and execution.
Then he asked:
“How much does this cost?”
“About $25/month.”
Silence.
“I’ve been paying analysts six figures to do half of this.”
The crazy part?
The tools are public.
Most people still think AI is just for writing emails.
Meanwhile, others are quietly using it to build an edge.
🎁 I’m putting together the exact AI trading stack, prompts, and workflow behind this.
Like + Repost + Comment “AI” and I’ll DM it to you.
Follow @marryevan999 for More.
Hazel Chikara 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 is 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 Fable 5 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 Fable 5 + device + 1 hour per day.
Giving this free for 24 hours.
To get it:
1. Comment the word Fable
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.
Hazel Chikara retweeted
I made $32,400 in 14 days copy-trading a Chinese student who turned $0.90 into $408,292 on Polymarket in 48 hours.
One Claude FABLE 5 prompt. 20 minutes.
A bot that prints money in the 100ms gap between Binance spot and Polymarket CLOB.
I've made the exact build guide. Giving It Free for 24 hours.
To get it:
1. Comment "FABLE"
2. Like and Retweet
3. Follow me @codewithimanshu (Only then, i can DM you)
You only need Claude + a device + 1 hour/day.
The wallet that started this.
His handle: Gravia on Polymarket.
Only 2 days old. Almost zero viewers.
$0.90 to $408K in 48 hours.
I reverse-engineered his terminal.
Had Claude build the same bot from one prompt.
20 minutes. Done.
What the bot actually does:
→ Pulls real-time BTC data from Binance WebSocket + 5M K-lines
→ Cross-references TradingView signals + CryptoQuant exchange flows
→ Uses MiroFish force-graph engine to map 100 nodes / 180 edges
→ Detects convergence in BEAR / BULL clusters
→ Catches moments when Polymarket CLOB lags spot price by >0.3%
→ Executes in <100ms before contract reprices
→ 1,000+ orders per second on UP/DOWN 5MIN markets
→ Grabs 0.3-0.8% per trade
→ Skips if no edge, thin liquidity, signal conflicts, or daily cap hits
Risk controls baked in:
→ Per-trade risk: 0.5%
→ Daily cap: 2%
→ Hard stop: -0.4%
→ Runs on local terminal
→ No cloud. No GPU.
The edge:
→ Not predicting BTC
→ Exploiting Polymarket's 100ms CLOB lag
→ Profit captured in milliseconds, not days
The expiry date:
→ Polymarket patches the lag
→ Quant funds enter
→ Edges compress. Window closes.
A student with Claude is pulling HFT returns right now.
In 12 months this opportunity is gone.
The 2 questions everyone's asking:
→ How big can this 5MIN scalper scale before it breaks?
→ Will Polymarket ban it?
You only need Claude + a device + 1 hour/day.
Save this post. Build the scalper this weekend. Start with $100. Scale on evidence.
You Must Follow me @codewithimanshu, so i can send you DM.
Hazel Chikara retweeted
INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years.
Bookmark it and give it an hour, no matter what.
Hazel Chikara retweeted
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: lnkd.in/dMqbaZdK
2. LLMs from Scratch: lnkd.in/dYYwEhYy
3. Agentic AI Overview (Stanford): lnkd.in/dArmMt2i
4. Building and Evaluating Agents: lnkd.in/dBWd2W8u
5. Building Effective Agents: lnkd.in/dHfdebqw
6. Building Agents with MCP: lnkd.in/dXuNHrRJ
7. Building an Agent from Scratch: lnkd.in/da3ANw3w
8. Philo Agents: lnkd.in/dq-BfZE5
🗂️ Repos
1. GenAI Agents: lnkd.in/d3UDtwwv
2. Microsoft's AI Agents for Beginners: lnkd.in/dHvTmJnv
3. Prompt Engineering Guide: lnkd.in/gJjGbxQr
4. Hands-On Large Language Models: lnkd.in/dxaVF86w
5. AI Agents for Beginners: lnkd.in/dHvTmJnv
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: lnkd.in/d2dMACMj
8. Hands-On AI Engineering:lnkd.in/dgQtRyk7
9. Awesome Generative AI Guide: lnkd.in/dJ8gxp3a
10. Designing Machine Learning Systems: lnkd.in/dEx8sQJK
11. Machine Learning for Beginners from Microsoft: lnkd.in/dBj3BAEY
12. LLM Course: lnkd.in/diZgGACG
🗺️ Guides
1. Google's Agent Whitepaper: lnkd.in/gFvCfbSN
2. Google's Agent Companion: lnkd.in/gfmCrgAH
3. Building Effective Agents by Anthropic: lnkd.in/gRWKANS4.
4. Claude Code Best Agentic Coding practices: lnkd.in/gs99zyCf
5. OpenAI's Practical Guide to Building Agents: lnkd.in/guRfXsFK
📚Books:
1. Understanding Deep Learning: lnkd.in/dgcB68Qt
2. Building an LLM from Scratch: lnkd.in/g2YGbnWS
3. The LLM Engineering Handbook: lnkd.in/gWUT2EXe
4. AI Agents: The Definitive Guide - Nicole Koenigstein: lnkd.in/dJ9wFNMD
5. Building Applications with AI Agents - Michael Albada: lnkd.in/dSs8srk5
6. AI Agents with MCP - Kyle Stratis: lnkd.in/dR22bEiZ
7. AI Engineering: lnkd.in/gi-mQcXa
📜 Papers
1. ReAct: lnkd.in/gRBH3ZRq
2. Generative Agents: lnkd.in/gsDCUsWm.
3. Toolformer: lnkd.in/gyzrege6
4. Chain-of-Thought Prompting: lnkd.in/gaK5CXzD.
🧑🏫 Courses:
1. HuggingFace's Agent Course: lnkd.in/gmTftTXV
2. MCP with Anthropic: lnkd.in/geffcwdq
3. Building Vector Databases with Pinecone: lnkd.in/gCS4sd7Y
4. Vector Databases from Embeddings to Apps: lnkd.in/gm9HR6_2
5. Agent Memory: lnkd.in/gNFpC542
Repost for your network ♻️
In a world where velocity is expected but clarity is rare; reducing cognitive load, ensuring contextual accuracy are no longer optional features. They are strategic differentiators, defining the systems that will lead by supporting smarter, more confident decision-making at scale
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Today’s systems aren’t just tools anymore. They are cognitive collaborators; systems that reason, relate, and respond with relevance.
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We are stepping into the realm of Systems of Experience. These platforms don’t just answer questions; they anticipate them!
63
AI empowers those with the vision to see beyond the data, and the wisdom to turn intelligence into lasting impact.
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Hazel Chikara retweeted
Good Day to all the beautiful, thoughtful, immaculate, irresistible, iconic Barbz all around the world on every continent of the globe.
1. Never forget who you are.
2. When in doubt, refer to #1.
Hazel Chikara retweeted
This administration is holding Harvard accountable for fostering violence, antisemitism, and coordinating with the Chinese Communist Party on its campus.
It is a privilege, not a right, for universities to enroll foreign students and benefit from their higher tuition payments to help pad their multibillion-dollar endowments.
Harvard had plenty of opportunity to do the right thing. It refused.
They have lost their Student and Exchange Visitor Program certification as a result of their failure to adhere to the law.
Let this serve as a warning to all universities and academic institutions across the country.
Hazel Chikara retweeted
#SpaceBird Brett Mecum is helping shape the future of space in the Southwest! Recently, he led a coalition to revive the Arizona Space Commission, paving the way for commercial space expansion in the region. linkedin.com/posts/brettmecu…
Hazel Chikara retweeted
Press FSD Supervised button & your Tesla takes you wherever you want, on its own
Hazel Chikara retweeted
This chart is nuts. Software developer jobs down 70% from peak.
People will blame the end of free money. But something way more interesting is happening.
The middle class engineer is dying. And it's dying because they're not needed anymore.
One good dev with Github Copilot ships what entire teams did five years ago. Microsoft just reported the highest revenue per employee in history.
The "entry-level engineer" doesn't exist anymore.
Instead, we have product builders who happen to code. Armed with AI, they ship entire products in days.
Meanwhile, the truly elite engineers are making more money than ever.
And they've shifted to working mostly on frontier tech. I mean the stuff that's really hard.
AGI at OpenAI.
Designing rockets at SpaceX.
Self-driving car tech at Tesla.
Product builders are becoming solopreneurs and creators Frontier engineers are making hedge fund money
In 2025, "software engineer" doesn't mean what it meant in 2020.
And that's what this chart really shows.
The middle is gone. The top is elite status. And everyone else is becoming a builder.
Hazel Chikara retweeted
Dear @elonmusk and @realDonaldTrump
“South Africa is treating certain classes of people VERY BADLY.
It is a bad situation that the Radical Left (oops right wing) Media doesn’t want to so much as mention.
A massive Human Rights VIOLATION, at a minimum, is happening for all to see.
The United States won’t stand for it, we will act.”



















