Pengdalf
4.4K posts

Pengdalf
@kryptowerker
Reply guy Pudgy Real life Homer Simpson






It’s been an incredible few months for Pudgy Penguins, with major brand partnerships, new products, institutional Penguins, huge support from Capitol Hill, and more. Whether you missed it or just joined The Huddle, here’s what you need to know 🧵



I bought my first big boy watch today.






Xeet left Abstract for MegaETH Myriad left Abstract for BNB Fugz and Final Bosu left Abstract for ETH This begs the question… is Abstract dead?






Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before. At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine. I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed. Note: fwiw, other companies that come close in efficiency are - Tether ($90M+ profit/emp) - Hyperliquid ($80M+ profit/emp) and on revenue: - Valve ($50M/emp) - OnlyFans ($37M/emp) - Craigslist ($14M/emp) - Anthropic ($12M/emp, run rate) - OpenAI ($8M/emp, run rate) For comparison, Nvidia is very efficient at scale and is $4.4M/emp.






@MidCurveMortal I swear Solana traders are the most retarded fucks. Gonna bridge to buy at $150 mil and then sell when it dips a little. I'm out on sol for good. I'm too good a trader to be here any more.

Imagine how beautiful your life would be if you catch the top. Youll definitely be richer than Elon 😂



the fastest growing GitHub repos in finance this week: 1. mvanhorn/last30days-skill (+2.1K ★) AI agent skill that searches Reddit, X, YouTube, HN, Polymarket and the web in parallel — then scores results by upvotes, likes, and real money, not editors. drop it into Claude Code or OpenClaw. zero config to start. 2. ZhuLinsen/daily_stock_analysis (+1.2K ★) LLM-powered stock analyzer for US, A-share and H-share markets. real-time news + multi-source data + decision dashboard with exact buy/stop/target levels. runs on GitHub Actions on a schedule at zero cost. pure automation. 3. juspay/hyperswitch (+667 ★) open-source payments infrastructure written in Rust. modular by design — pick only what you need: routing, retries, vaulting, reconciliation, cost observability. built by the team behind payment infrastructure for 400+ enterprises. the "Linux for payments" 4. HKUDS/AI-Trader (+655 ★) agent-native trading platform where AI agents join, share signals, debate ideas, and copy each other's trades. send one message to any agent and it registers itself. supports OpenClaw, Claude Code, Codex, Cursor and more. 5. hsliuping/TradingAgents-CN (+471 ★) Chinese-enhanced fork of TradingAgents. same multi-agent LLM trading architecture, fully localized for Chinese markets, A-share data, and domestic LLMs like DeepSeek and Qwen. 23K stars and climbing. 6. ashishpatel26/500-AI-Agents-Projects (+436 ★) curated collection of 500+ AI agent use cases across healthcare, finance, education, retail and more. organized by industry and framework — CrewAI, AutoGen, LangGraph, Agno. the best reference list if you're figuring out what to build next. 7. OpenBB-finance/OpenBB (+355 ★) open-source financial data platform for quants, analysts and AI agents. "connect once, consume everywhere" – same data layer exposes to Python, Excel, MCP servers for agents, and REST APIs. the open-source Bloomberg alternative. 8. microsoft/qlib (+349 ★) AI-oriented quant investment platform from Microsoft. covers the full pipeline from data to live trading: alpha seeking, risk modeling, portfolio optimization, order execution. deep learning, RL, auto-quant – all in one place. 9. tradingview/lightweight-charts (+318 ★) one of the smallest and fastest financial chart libraries for the browser. built with HTML5 canvas, weighs almost nothing, renders like native. if you're building any kind of trading UI on the web, this is what you reach for first. bookmark this and start today.


JUST IN: 🇩🇪 German stock exchange operator Deutsche Börse buys $200,000,000 stake in Kraken crypto exchange.


















