@mischavdburg Itβs crazy because because of AI I locked in more on skills like Linux, docker π and nano. I been using the terminal more then ever. Upgrading it to use tmux and cmux. π€·π½ββοΈ
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/zDXGamMWw0β¦
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
Someone finally documented how to actually use Claude Code.
22K+ stars. claude-code-best-practice.
Direct from Boris Cherny and team:
β Always use plan mode, give Claude a way to verify
β Ask Claude to interview you using AskUserQuestion tool
β Use Git Worktrees for parallel development
β /loop - schedule recurring tasks for up to 3 days
β Code Review - fresh context windows catch bugs the original agent missed
β /btw - side chain conversations while Claude works
β Make phase-wise gated plans with tests for each phase
β Use cross-model (Claude Code + Codex) to review your plan
β CLAUDE[.]md should target under 200 lines per file
β Use commands for workflows instead of sub-agents
β Have feature-specific sub-agents with skills instead of general QA or backend engineer
β Vanilla Claude Code is better than complex workflows for smaller tasks
β Take screenshots and share with Claude when stuck
β Use MCP to let Claude see Chrome console logs
β Ask Claude to run terminal as background task for better debugging
β Use cross-model for QA - e.g. Codex for plan and implementation review
The community workflows included:
β Cross-Model (Claude Code + Codex) Workflow
β RPI (Research Plan Implement)
β Ralph Wiggum Loop for autonomous tasks
β Github Speckit (74K stars)
β obra/superpowers (72K stars)
β OpenSpec OPSX (28K stars)
The billion-dollar questions it addresses:
β What should you put inside CLAUDE[.]md?
β When should you use command vs agent vs skill?
β Why does Claude ignore CLAUDE[.]md instructions?
β Can we convert a codebase into specs and regenerate code from those specs alone?
The daily habits:
β Update Claude Code daily
β Start your day by reading the changelog
β Follow r/ClaudeAI, r/ClaudeCode on Reddit
Repost it. Bookmark it.
@DontezAkram Final, Currently am playing with claude while i advance in cybersecurity, cloud and ofc AI but will in the future add openclaw will check out picoclaw but you are right tho