@andrejrp

9-5

EU
Joined May 2009
A Stanford professor took two average stocks, rebalanced them daily, and turned $100,000 into $7 million without predicting a single price. 🚀🚀Prove that simple systems applied consistently out perform trying to protect the market /# Business 💥💥💥🚀🚀🚀🚀 – at Sohawal, India
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Peter Thiel has an incredibly advanced understanding of psychology:
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Peter Thiel built PayPal alongside Elon Musk Then he walked into Stanford and used Mark Zuckerberg, Larry Page, Bill Gates, Elon Musk, and even Einstein to explain one of the most controversial ideas in business: “Competition is for losers” And the deeper you go into the lecture, the more uncomfortable the argument becomes Thiel starts with a distinction almost nobody makes: creating enormous value and capturing enormous value are two completely different things Airlines transformed civilization and generate enormous revenue, yet historically struggled to keep much of the value they created. Google, by comparison, operated in a much smaller market but captured an extraordinary share of the economics That leads to Thiel’s central claim: There are basically two kinds of businesses, monopolies and businesses competing their profits away The strange part is that both sides lie about it A monopoly wants regulators to believe it operates in a huge competitive market. A terrible competitive business wants investors to believe it occupies some tiny unique niche Thiel uses Google as the example. Define it as “search” and its dominance looks enormous. Define it as advertising, technology, cloud, phones, cars and software, and suddenly it looks like one player among hundreds How you define the market can completely change the story So how do you actually build something dominant? Thiel says you usually start absurdly small Amazon began with books. eBay gained traction in tiny enthusiast markets. PayPal focused on roughly 20,000 power sellers on eBay. Facebook started with around 10,000 Harvard students and reached roughly 60% penetration there in about 10 days The mistake is starting with: “This is a trillion-dollar market” To Thiel, that often means you’re entering an ocean filled with competitors Own a tiny market first. Then expand outward But dominating today isn’t enough The truly valuable company has to remain dominant tomorrow That’s where Thiel brings in Mark Zuckerberg, Larry Page and Bill Gates. The next Zuckerberg won’t build another Facebook. The next Larry Page won’t build another search engine. The next Bill Gates won’t build another operating system Copying what made them successful misses the entire lesson They became valuable because they built something sufficiently different that competition became much less relevant Thiel looks for several things: proprietary technology that can be dramatically better than alternatives, network effects, economies of scale and brand And then comes another contrarian idea: Forget the first-mover advantage Think about the last-mover advantage Microsoft became enormously valuable because it dominated operating systems for decades. Google because search endured. Facebook’s value depended on whether it could remain the dominant social network Thiel says most of a technology company’s value often lies many years into the future, which means investors obsess too much over current growth and not enough over one question: Will this company still matter 10 or 20 years from now? Then the lecture gets even more interesting Thiel argues that some of humanity’s greatest innovations created unbelievable value while their creators captured almost none of it Einstein transformed physics The Wright brothers helped create aviation Railroads transformed economies Yet revolutionary innovation does not automatically create extraordinary fortunes Meanwhile, software founders can sometimes capture billions because the economics of their industries, scale, marginal costs, network effects, allow them to retain a much larger percentage of what they create He then points to Elon Musk, Tesla and SpaceX Thiel’s explanation isn’t simply that Musk invented one magical technology. He highlights the ability to integrate many pieces of the business together, manufacturing, distribution, suppliers, engineering, in ways competitors struggled to replicate Creating value mattered Structuring the business so you could actually keep that value mattered too But the last few minutes may be the most important part of the entire lecture Thiel stops talking about companies He starts talking about you Humans copy each other If everyone wants the same prestigious university, the same Wall Street job, the same startup idea or the same career, we interpret the competition itself as proof that the prize must be valuable Thiel argues the opposite can be true The fact that thousands of intelligent people desperately want something may be evidence that you should look somewhere else He knows the trap personally. He followed the prestigious path through Stanford and Stanford Law into a top New York law firm, a place where, as he describes it, people desperately wanted to get in from the outside and desperately wanted to leave once they were inside He left after seven months and three days Someone at the firm told him it was reassuring to see him leave because he hadn’t realized “it was possible to escape from Alcatraz” The door had been open the entire time. That is ultimately what “competition is for losers” means Competition can make you better at beating the person standing next to you But it can also make you so obsessed with winning someone else’s game that you stop asking whether the game is worth playing Peter Thiel ends the lecture with one line that summarizes the entire philosophy: Don’t rush through the tiny door everyone else is fighting to enter Look around the corner There may be a vast gate nobody is taking Watch the full lecture below ↓
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Anthropic hired this engineer at $250K–$750K a year because he knows how to build harnesses for multi-agent systems In a 15-minute workshop, he shows exactly how to build one from scratch AI → Agents → Harness → Loops → Graphs step 1 → start with the Claude Agent SDK — the harness handles loops, context, and sandboxing step 2 → separate the brain from the hands — reasoning in one place, tools in a sandbox, 60% faster to first token step 3 → run it server-side and log every step — close your laptop and it keeps running, crashes resume from the log step 4 → make failure cheap — retry dead sandboxes and replay lost context instead of starting over step 5 → turn yesterday's logs into new memory and skills — the harness wakes up smarter Anthropic calls this "dreaming" Most people spend weeks building this by hand You don't have to Bookmark and watch it Then read the full harness engineering guide below ↓
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Anthropic engineer: "99% of people use Claude Code like Google, and only 1% are running swarms of self-learning Claude agents I'm running 100+ agents in a loop. I have Chief agent, PM agents - they manage the whole team" in a 30-minute workshop, an Anthropic engineer revealed how to get max value from Claude Code at min. cost this is worth more than another $500 vibe-coding course watch today, then read how to build self-improving agentic systems with Fable in the article below
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Michael Lewis on how the stock market is rigged.
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By far the best genre of slop so far 🤣
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🚨Anthropic just showed a 27-minute workshop on how to actually write prompts for Claude. Taught by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch the session
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Charlie Munger thought McDonald's did a better job educating people than Harvard. He wasn't joking. In 2010, sitting next to Warren Buffett at Berkshire Hathaway's annual meeting, Munger explained why he considered McDonald's one of America's most underrated educational institutions. His argument had almost nothing to do with hamburgers. McDonald's takes people at the very beginning of their working lives. For many of them, it's their first real job. And before they move on, it teaches them things that are surprisingly difficult to teach in a classroom: show up on time, follow a system, deal with customers, take responsibility and do the job you're being paid to do. Munger had once made the same argument while speaking at a major university. He told the room: “I thought McDonald's succeeded better as an educator than the people in the university did.” His point wasn't that people stayed at McDonald's forever. It was almost the opposite. Many started there, learned how to function in a real workplace, and eventually moved on to much bigger jobs. Munger believed McDonald's deserved far more credit for that than it received. Then Buffett jumped in — and agreed. He said some of the most important lessons of his own life came when he was just 13 or 14 years old, working for a newspaper boss named Charlie Peterson. Long before Berkshire Hathaway. Long before he became one of the richest men in the world. Buffett was just a kid learning lessons from his first boss that he still remembered decades later. Munger and Buffett were making the same point from opposite ends of extraordinary careers: sometimes the place that teaches you how to work isn't a university. It's the place expecting you to show up on time tomorrow morning.
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She is 18 built a decision-making system with Opus 5.5 and sold it to Anthropic for $2.4M - and at Stanford showed how to repeat it from scratch: 00:17 - how Opus 5.5 builds a system that makes 95% of your decisions 34:34 - one agent replaced an entire Anthropic team of 50 engineers 59:47 - from first prompt to a $2.4M check from Anthropic after watching I built my first system in Claude Code in 2 hours and sold it to Anthropic for $100k that same evening save & watch - the article below is step by step how to build an AI system from scratch that Anthropic will buy.
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Andrej Karpathy has just published a 2-hour Stanford course on Graph-Native Research. 00:00 → Introduction to Graph Systems 01:08:09 → LLM Architecture A pretty interesting way to understand where LLM usage might be headed: LLMs → Prompts → Agents → Graphs The best part is that the full course is available to watch
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INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now. – at Sohawal, India
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STEVE JOBS GOT FIRED FROM APPLE. Then he walked straight into MIT and dropped the most raw, unfiltered 60-minute business masterclass ever recorded. Zero PR bullshit. Zero image to protect. Just pure, brutal honesty from the man who built Apple once and was about to rebuild it even bigger. Stop scrolling. Watch this tonight instead of Netflix. Bookmark it. Come back to it.
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Andrej Karpathy said something that really stuck with me: "you have to ask yourself: how do i get MAXIMUM output from AI with minimum input from me, and have it run for a long time without me" this is how everyone should be working with AI... and these guys pretty much built the GTM version of it: - one prompt turns your browser into a GTM agent - it goes and finds leads, researches companies, sources creators for your campaigns - it checks inboxes and updates your spreadsheets while you do literally anything else hours of manual GTM work, gone from one prompt
🤝 Paid partnership
30 seconds of typing can now turn into 100 hours of GTM work. Introducing Polar for GTM. Give Polar your ICP and tell it what needs to get done. It can find accounts, research companies, find decision makers, enrich leads, update sheets, check replies and prep follow-ups. Then save the workflow and run it again. 👇
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GOOGLE HA SOLTADO ALGO QUE NADIE ESPERABA. Un tutorial de 8 minutos sobre cómo construir tus primeros agentes de IA.
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New Bulenox momentum accounts are fire! bulenox.com/member/aff/go/an… Code NASDAQ 1 Step Eval & No Activation Fees 25K $56.40 50K $85.80 100K $148.80 150K $214.80 NQ NQ_F ES Topstep MFF Lucid Trading Apex Trader Funding FTMO GC Topstepx down
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BREAKING NEWS! The engineer who built Claude Code from scratch just released a 28-minute video that's pure gold: how to write prompts that deliver ridiculously good results. I've seen $300 courses that don't even come close to what he explains in the first 10 minutes. CLAUDE.md files, memory shortcuts, parallel sessions, and prompting patterns that almost no one uses... All in one single video. Completely free. No fluff. Whether you're a developer, just starting, or have already been using Claude for months, this changes the game for you starting today. Save. Watch. Share.
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THIS IS F**KING INSANE This guy explained how he created 3 websites that generate $130,000 for him per month In 25 minutes, he shows how he did it, step by step. Totally free. Idea → Web → Monetize Save this, you’ll thank me later
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Ex-Google engineer reveals how to build AI agent loops, harnesses, LLM ops, and evals in 19 minutes. Trace → evaluate → diagnose → fix → ship → repeat. That loop is how agents self-improve over time. Agentic loops + harness + memory + evals - that's the senior engineer stack. This is better than $500 paid courses on the same topic, explained in under 20 minutes. Watch it, then save the framework below.
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