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makerX Web3 Lab

Joined November 2020
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This is f*cking insane. Former Google CEO Eric Schmidt, the man who ran Google for 10 years: "If you really want to make money, it's actually easy, found an agentic AI company, I mean build an agent to do something If you build a better agent than anyone else, you can probably build one incredible company and own it yourself" In 27 seconds, he explains why the next year or two is the agentic period, and why the window won't stay open Prompts → Claude Code → Memory → Skills → MCP → A Company You Own Yourself Save this before it disappears from your feed Everything below is free: Agent architecture langchain.com/blog?category_… Claude Code 101 anthropic.skilljar.com/claud… Claude Code in action anthropic.skilljar.com/claud… Prompt engineering platform.claude.com/docs/en/… Interactive prompt course github.com/anthropics/course… Claude.md + memory code.claude.com/docs/en/clau… Skills code.claude.com/docs/en/skil… MCP code.claude.com/docs/en/mcp Routines code.claude.com/docs/en/rout… Claude Code ultimate guide github.com/FlorianBruniaux/c… Awesome Claude Code github.com/hesreallyhim/awes… Anthropic academy anthropic.skilljar.com Official Claude Code docs code.claude.com/docs/en/over… All of this costs $0 95% will spend the agentic period scrolling AI threads, the 5% who ship agents will own the companies that come out of it Bookmark it and start with the first link tonight Then read how to build an agent that actually does the job in the harness engineering guide below ↓
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YOU WON'T HAVE A JOB IN 2027 IF YOU DON'T LEARN THIS 7 GitHub repos that will save you from being replaced by AI: 1. career-ops (80k stars) an agent that scans job boards, scores every role against your CV and tailors your resume for each one github.com/career-ops-hq/car… 2. Agent Reach (107k stars) gives your agent eyes on YouTube, Reddit, GitHub, LinkedIn and the open web with one command github.com/Panniantong/Agent… 3. OfficeCLI (32k stars) lets agents create and edit Word, Excel and PowerPoint files without Office installed github.com/iOfficeAI/OfficeC… 4. Hypit (26k stars) clones any viral video into an editable workflow - footage, captions, b-roll, effects github.com/hypit-ai/hypit 5. AI Website Cloner (37k stars) turns any website URL into a clean Next.js app you can edit github.com/JCodesMore/ai-web… 6. Strix (72k stars) autonomous AI hackers that find vulnerabilities in your code and prove them with working exploits github.com/usestrix/strix 7. Paperclip (110k stars) run a whole company of AI agents - org chart, budgets, approvals, one dashboard github.com/paperclipai/paper… want more videos like this? like it, share it with a friend and tell me in the comments which agents you want me to visualize next
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🚨 SOMETHING VERY STRANGE IS HAPPENING The stock market just had its worst week in months. The crowd think it's a normal pullback. Almost nobody is paying attention to what's really happening. A massive AI bubble is finally cracking. And the numbers don't lie: Hedge funds have wiped out their ENTIRE AI buying since 2025. In just 5 days. Let that sink in. They sold for five straight sessions. They dumped $20 BILLION of tech stocks in two weeks. And they didn't just stop buying. They were selling what they already owned at 3.5 times the pace of new short bets. This is not a rotation. This is a stampede for the exits. Look at the damage: → Goldman's basket of favorite hedge fund stocks fell 4.2% in one day. Worst day since 2011. → Hedge funds cut total exposure by 7.8%. Biggest drop since 2016. → Memory giants (Samsung, SK Hynix, Micron, SanDisk) lost $700 BILLION in under two weeks. → Chip stocks are down 15.6% in October. Meanwhile, the S&P 500 is down 3% from its record high. Do you see the disconnect? The index is pretending everything is fine. But the big players are already at the exit. They see the circular AI financing. They see the negative free cash flow. They see the debt. And they are not waiting for Monday. When retail finally sees it, it will be too late to sell. Remember, I warned you about the coming AI collapse for months. When the bubble finally pops and the real bottom forms, I’ll post the level worth buying here like I always do. Stay close.
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THIS IS A PURE F*CKING GOLDMINE Anthropic just shared one of the best tricks for Claude Code. The idea: a skill is one folder with one markdown file, and Claude only reads it when your request actually matches it. You stop pasting the same instructions into every session, and you pay one line of context instead of the whole document. You just make one folder: .claude/skills/review-pr/SKILL.md here's the split: → the description is the only thing sitting in context, roughly one line per skill → the full body loads the second a request matches that description → scripts in the folder get executed, never read into context → commit the folder and every person in the repo has the skill three frontmatter lines do the heavy lifting: → allowed-tools pre-approves the tools, so it runs without a permission prompt → context: fork hands the skill to a subagent that never sees your chat → paths limits it to the files it actually belongs to Description matches. Body loads. Scripts run. JEV engineering is the same move one layer down: the forks that need no thinker (which skill, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split the full tree > .claude/skills/<name>/SKILL.md for the repo, ~/.claude/skills/ for your own > only descriptions sit in context, the body loads on match > keep SKILL.md under 500 lines, every line is a recurring cost once loaded > description plus when_to_use is cut at 1,536 characters, put the trigger first > context: fork runs it in a subagent with no conversation history > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Set up skills in this repo from the tree above: 1. Create .claude/skills/ and move the repeated instructions out of CLAUDE.md into one skill per job. 2. Write every description as a trigger sentence first, since the listing is cut at 1,536 characters. 3. Put anything deterministic into scripts/ and pre-approve it with allowed-tools so it runs without a prompt. 4. Route fast deterministic forks (which skill, which tool, retries) through JEV. Show me every change as a diff first. No edits until I say go." ↳ code.claude.com/docs/en/skil… save it, it'll come in handy.
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It is becoming f*cking dangerous A 23-year-old dev from China just ran 300 Claude Code agents in parallel and hooked them to a verification layer so none of them could bullshit him He opens the live dashboard: - 300 agents writing and checking at the same time - Every output verified against the source in ~100 ms - Three passes over 100 company profiles → zero errors left - Everything dumped straight into an Obsidian vault The trick is the split: one model does the work, a cheaper one decides if the claim is actually true. The loop doesn’t stop until everything checks out An analyst team would bill weeks for this. He got it in one run Same kind of Second Brain + swarm setup that keeps circulating. Bookmark the full breakdown
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This is f*cking insane. Anthropic engineer: "You're not supposed to prompt Opus 5.5 You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems" In 30 minutes, she breaks down exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run. Better than any $1000-$2000 agent course I've come across. Watch it, then read the full Graph Engineering guide below ↓
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🚨 انتهى زمن الاشتراكات المدفوعة: أداة مجانية مفتوحة المصدر تنهي هيمنة ElevenLabs بالكامل ​مطوران فقط أطلقا أداة مجاناً بالكامل وتعمل مباشرة على جهازك دون الحاجة لتحديثات مدفوعة أو سيرفرات سحابية! في 6 أشهر فقط حصدت الأداة 94,000 نجمة على GitHub وتصدرت المركز الأول! ​📌 ماذا تقدم لك الأداة مجاناً؟ ​1️⃣ استنسخ أي صوت بدقة عالية من مقطع صوتي واحد نظيف. 2️⃣ دبلجة الفيديوهات لأكثر من 646 لغة! 3️⃣ توليد الأصوات بالأوامر النصية: اكتب "راوي بريطاني بعمر الخمسين بصوت منخفض" ليقوم النظام بإنشاء الصوت فوراً! 4️⃣ تفريغ وقراءة وتحويل النصوص بالكامل. 5️⃣ تعمل على Mac, Windows, Linux, Android, و iPhone وبدون الحاجة لكرت شاشة قوي (GPU)! لا سحابة، لا نقاط تنتهي، ولا فواتير شهرية.. دفع اشتراكات لأدوات توليد الصوت في 2026 أصبح مجرد استنزاف لأموالك على تقنية أصبحت متاحة مجاناً على جهازك الشخصي! ​🔗 رابط المستودع (GitHub Repo) في أول تعليق! 🧵👇
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WALL STREET spends millions on quant teams. I spent $20 on Claude. Yesterday: fired. rent late. $25 left in my bank account. I opened Claude and typed: “Analyze profitable Polymarket wallets from the last 90 days and build me an edge.” Then went to sleep. Woke up to: +$4,237. While I was asleep, the agent: • scanned 10,000 wallets • filtered fake alpha from real edge • tracked sizing, timing, and conviction • found traders consistently beating the market Then it built a fully automated strategy: → monitors breaking news → maps narratives to active markets → detects mispriced odds → executes arbitrage → sizes positions dynamically Started at 11:47 PM. By morning: 94 trades executed. Zero manual input. No fear. No greed. No second-guessing. Just data reacting faster than humans can. People keep asking if AI will replace jobs. Wrong question. The real question is: what happens when one person gets access to tools that used to belong only to Wall Street? You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'AutoPilot' 2. Like and Retweet this post 3. Follow me @techluisenzo
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为什么有人能搭建 200 多个 AI Agent, 你却连第一个都跑不顺? 一场 60 分钟的技术分享, 讲透 AI Agent 的架构设计、规则建立、技能配置和验证机制。 从单个 Agent 到多智能体协作, 真正值得学的是这套完整的方法。 建议收藏观看。
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Whenever I feel demotivated i rewatch this... Elon Musk in a living room in 2008, 12 days from bankruptcy, pitching a $109,000 car to people...
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一个中国工科学生在宿舍里搭了个气象追踪站。 三台 Mac Mini。两块显示器。屏幕上全是卫星图。每台机器都贴着标签:UI/UX、DEV、ADMIN。总成本不到 2000 美元。 室友以为是气候研究项目。教授以为是毕业设计原型。他没解释。 后来有人发现,这个站真正连着的是一个钱包。 ColdMath 利润:101,042 美元 预测次数:5,252 2025 年 11 月加入 简介:Edge Compounds 这个站只做一件事。 Claude 拉取飞行员用的实时气象数据。真传感器,真读数,全球站点每 1-3 小时更新一次。然后和预测市场的价格对比。 对不上号,DEV 那台机器就报警。发现偏差,下单。结果变绿。 25 美元押东京 3 月 20 日 16°C,兑回 12,452 美元。 24 美元押芝加哥 3 月 11 日 54°F,兑回 12,398 美元。 13 美元押勒克瑙 3 月 7 日 39°C,兑回 6,850 美元。 25 美元的注,赚回一万二。赌的是天气。 一个飞商业航班的朋友告诉他:飞行员拿到大气数据的时间,比任何公开预报都要早几个小时,精确到 0.1 度。这些数据免费——航空安全强制公开,但航空圈以外几乎没人看。 他看了。让 Claude 对着数据流,每天找出每一个“预报和价格对不上”的城市。Claude 每天都能挖出几十个。 有一天早上室友看见气象站还在跑,终于忍不住问他到底在干嘛。学生把钱包余额给他看了一眼。室友愣了半天,只说了一句:给我也加台显示器。 现在 3.4 万人在看这个钱包,还有 9.6 万美元活跃仓位。 三台 Mac Mini,两块屏幕,一个闷头做事的学生。他发现了地球上最可预测的东西——就是那个所有人都忽略的东西。 天气。
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Europe’s skies have become battlefields. Russia seeks to intimidate. It will not succeed. ✅️ At today’s @NATO FUSE event in Riga, I welcomed the announcement of the first two European Drone Technology Hubs, which will help bring drone and counter-drone technologies from the lab to the field. ➡️ Read my remarks here: link.europa.eu/jRxxpP
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SpaceXAI Senior Engineer Lauren Tan reveals why 99% of users are barely scratching the surface of GrokBot. “GrokBot is the most powerful agentic tool we've ever released, yet only 1% of users know how to use it properly.” At SpaceXAI, Lauren manages 15+ AI agents: → 1 Chief of Staff → 3 Managers → 11 Workers This is how advanced AI engineering is evolving in 2026. In just 40 minutes, she breaks down how to get more out of agentic AI and build smarter workflows with GrokBot. More practical value than most $500 AI courses. Skip Netflix. Watch this instead. Save this guide for later.
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Say goodbye to your 9 to 6 job. You can make $500 per day if you have: 1. A laptop 2. Wi-Fi 3. Time Here is 10 websites that pays you daily.👇
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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..
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一个24岁的年轻姑娘,把次卧改成了微型数据中心,就这么不声不响做出了5.84万美元。 48台翻新Mac mini,码在铁丝架子上,旁边搁着灭火器和塑料凳。房东每次来收租,都以为她在家挖矿。 她以前每个月花1.4万美元租云GPU跑广告业务,肉疼。现在这个架子全天候转,她睡觉的时候,机器就能产出1.4万张图、900个视频。 接了11个品牌,一个月稳定进账2.64万美元,电费才314美元。硬件投入67天回本。 更妙的是,架子最上面还跑着Polymarket钱包。那边总利润780万美元,97%来自体育市场。4.94亿美元的交易量,堆出1%的稳定回报。 一边卖算力,一边卖数学。 两套系统就在同一间卧室里安静跑着。机器不停,钱包不停。她要做的,就是收钱,偶尔擦擦灰。
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❗️Zelenskyy: Ukraine is scaling up production of AI turrets that have performed very well in countering “Shaheds.” We are increasing orders; it is important to accelerate all processes—organizational, financial, and production.
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BREAKING: Ukraine has carried out the world’s first medical evacuation of a human via a drone from the battlefield the 30th mechanised brigade of Ukraine managed to save their injured comrade from a minefield. Just absolutely insane.
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“Money won’t matter in 2036” - Elon Musk
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🚨Anthropic just showed a 24-minute workshop on how to actually do 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 it and bookmark it now! Video Credit : Respective owner
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