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: https://t.co/zDXGamMWw0…
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 & turn on notifications
@ZayvenKnox
3 Bittensor $TAO subnets I’m watching closely right now 👇
SN64 — Chutes
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SN62 — Ridges
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SN4 — Targon
Focused on verifying AI outputs to reduce hallucinations and increase reliability.
The subnet ecosystem keeps getting more interesting.
My OpenClaw bot runs 6 AI agents 24/7:
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Most local businesses don't have a website, this system finds them, pitches them, and collects payment automatically
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Apparently, there is new hardware that can run LLMs much, much faster. It can easily give you over 15,000 tokens per second, which is stupidly fast.
From what I understand, it's 'hard-coded,' meaning that you can't change the weights or anything; the chip itself can only run the model from the day it's manufactured, forever.
Interesting concept.
There is a reason why this tool is viral.
Like really viral.
And I want to show you how to use it.
Most people use ChatGPT.
They ask questions.
Get answers.
Copy-paste.
Repeat.
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The catch?
This isn't plug-and-play.
You need a few hours to set it up properly or have it done for you.
You need to follow security rules to protect your brand and personal info.
You need to be comfortable with step-by-step instructions.
But if you can do that?
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I’ve compiled a full video guide to help you get started.
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👉 1. Like this post
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PS — Repost for early access.
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