You can build an AI second brain in 15 minutes.
No coding experience needed. no $1000 course
[Here is how you can do it in 5 mins:]
Step 1: Download Claude Desktop.
Step 2: Download Obsidian Desktop.
Step 3: Create a new vault and start dropping .MD files into it.
Step 4: Tell Claude Code to connect directly to your vault using Andrej Karpathy's prompt: https://t.co/2SJBZyjXDl
That is it.
Your entire knowledge base becomes searchable, connectable, and queryable by the most powerful AI model on earth.
Every note you have ever written.
Every idea you have ever captured.
Every resource you have ever saved.
Claude can now read all of it, find connections you missed, and surface insights from your own thinking that you forgot you had.
Most people are using Claude as a search engine.
The people building second brains with it are using it as an intelligence layer on top of everything they know.
The gap between those two use cases is the gap between asking Google a question and having a research partner who has read everything you have ever written.
Bookmark this.
Build it tonight.
10 GITHUB REPOS THAT SCRAPE THE ENTIRE INTERNET FOR YOU
Bookmark every single one. Each one pulls clean data off any website on earth, the kind of access companies sell behind a sales call and a contract.
1. https://t.co/yjhB8qsY2r
Point it at any website and it crawls every page, renders the JavaScript, and hands back clean structured data an AI can read instantly. It crossed 130K stars and landed in GitHub's top 100 repos. The scraping backbone half the AI startups quietly run on, open for anyone.
2. https://t.co/H8tTZjwd7O
The #1 trending crawler on GitHub. Turns any site into clean, LLM-ready markdown, faster than the paid services and with no API key, no account, no per-page fee. A dev built it in days after getting fed up paying $16 for a gated scraper. 51K stars. Apache 2.0.
3. https://t.co/xgLQDLB4HL
An AI agent that drives a real browser like a human, clicking, scrolling, logging in, filling forms, and pulling data off sites it has never seen before. Two ETH Zurich researchers built it and it hit 95K stars in about a year. The thing that scrapes pages no simple crawler can reach. MIT.
4. https://t.co/bBDy50sR9R
The full professional scraping framework, with rotating proxies, automatic retries, browser fingerprint spoofing, and queue management, all the machinery that keeps you from getting blocked. The exact stack scraping companies charge thousands to operate, handed to you for free.
5. https://t.co/nKhjeJxe1F
The original industrial-strength scraper that has quietly powered data teams for over a decade. Crawl millions of pages, extract anything, export it clean. Battle-tested at a scale most paid tools never reach, and free the entire time.
6. https://t.co/0NeYEdAWDt
Microsoft's own tool that converts any file or web page, PDFs, Office docs, HTML, images, into clean markdown an AI can actually use. The messy-data-to-clean-data step companies build whole pipelines around, open-sourced by Microsoft itself.
7. https://t.co/vyKqqy18Pi
A stealth scraper built to stay invisible, adapting automatically when a site changes its layout and slipping past the bot detection that stops everything else. The cat-and-mouse layer that anti-scraping vendors sell as a premium feature, free and open.
8. https://t.co/o9TuMdEQ1l
Mirror and control any Android phone from your computer to pull data and automate apps that have no website at all. The bridge into mobile-only platforms that most scrapers can't touch. 130K+ stars. Apache 2.0.
9. https://t.co/24FQISv92x
Show it one example of what you want and it figures out the pattern and scrapes the rest of the site automatically. No selectors, no code to maintain. The "just get me this data" button, in a few lines of Python.
10. https://t.co/BgL79bWL89
A version of curl that perfectly mimics a real browser's fingerprint, so the requests sneaking past every defense look exactly like a human with Chrome open. The lowest-level trick the expensive scraping APIs are quietly built on top of.
Companies sell this access for $2,000 a month. The source code is right here.
I genuinely don't understand why everyone isn't using this yet
Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.
You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.
Here's the whole thing:
> Install Obsidian, create a vault, open it in Claude Code
> Paste Karpathy's wiki idea file and tell Claude to build it
> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it
> Drop any source into raw and say "ingest this"
> Ask questions across everything, forever
Five minutes to set up, and you never start from a blank chat again.
Full step-by-step guide with Claude and Obsidian, link below.
Bookmark this
China called for a rapid reopening of the Strait of Hormuz, a goal it shares with the US, though there was no sign of a breakthrough between the superpowers on how to achieve that.
https://t.co/m6CjEnUJOJ
ANTHROPIC JUST RELEASED THE OFFICIAL PLAYBOOK FOR BUILDING A COMPANY WITH CLAUDE CODE.
30 minutes. free. from the engineers who built it.
Bookmark this before you forget.
CEO: 1 human. Employees: AI agents. Operations: fully automatic.
The zero-headcount company is no longer a joke.
Claude Trading Folder
I’ve compressed the best trading prompts into one PDF
Get it for FREE:
• Like + Repost + Comment “TRADING”
• Follow me so I can DM you
Instead of watching an hour of Netflix, watch this 1 hour Yale lecture. It will teach you more about options trading and the exact models hedge funds use than most people learn in their entire careers on Wall Street.
RIP Bloomberg Terminal.
Someone just open-sourced a desktop app that does most of what a $24,000-a-year Bloomberg seat does, and it runs on Windows, macOS, and Linux.
Fincept Terminal ships with:
→ Full CFA Level 1, 2, 3 analytics implemented in Python
→ 20+ investor AI agents (Buffett, Dalio, Graham, Soros, Lynch, Klarman)
→ Hedge fund presets: Bridgewater All-Weather, Citadel multi-strat, Renaissance stat models
→ 100+ data connectors including Polygon, Kraken, DBnomics (100M+ series), World Bank, IMF, OECD
→ Visual node editor to wire data sources to Python agents to MCP tools
→ 3D globe with live AIS ship tracking, aircraft paths, and satellite orbits
→ Local LLM support so your positions never leave your machine
2.6K stars. AGPL-3.0. 100% Opensource.
https://t.co/2D2lqijhY5
Most people are “learning AI” the hard way…
Jumping between random videos, tools, and courses.
Meanwhile, Anthropic quietly released 13 FREE Claude courses (with certificates) - all in one place.
No hype. No paywalls. Just practical skills you can actually use.
Here’s what you can dive into 👇
1. Claude 101
https://t.co/ieLX1w77pg
2. AI Fluency: Frameworks & Foundations
https://t.co/1jZ082vAtE
3. Introduction to Agent Skills
https://t.co/ARnf0Cc8Xt
4. Building with the Claude API
https://t.co/lQOgt8cZl2
5. Claude Code in Action
https://t.co/M6PHvoqM7r
6. Intro to Model Context Protocol
https://t.co/QmDpmzW6b8
7. MCP: Advanced Topics
https://t.co/s818RJ9gqR
8. AI Fluency for Students
https://t.co/1f8bzddEWa
9. AI Fluency for Educators
https://t.co/acabCaDVjc
10. Teaching AI Fluency
https://t.co/Vvu0tMce7h
11. AI Fluency for Nonprofits
https://t.co/d1cQ4Nvrxt
12. Claude with Amazon Bedrock
https://t.co/rckFJbQslN
13. Claude with Google Vertex AI
https://t.co/GXg6fNJlOb
Here’s the difference:
Most people stay stuck consuming.
These help you build, ship, and understand what’s actually happening under the hood.
If you go through even a few of these,
you’ll already be ahead of the majority using AI tools casually.
📌 Simple plan:
• Don’t try all 13
• Start with 1
• Finish it
• Apply it immediately
That’s the edge.
Save this for later.
Share it with someone serious about AI.
Follow @elora_khatun
Comment "CLAUDE" and I’ll best order to complete them 🚀
Super Ciclo de commodities
Estamos, ante el mayor superciclo de materias primas de nuestra generación. Y el mercado sigue a otra cosa.
El mundo está intentando hacer todo a la vez: rearmar ejércitos, construir los centros de datos que necesita la IA, electrificar la red, los coches eléctricos, las fábricas, y acelerar la transición energética.
Y todo eso necesita cobre, litio, tierras raras, metales críticos, etc, en cantidades que el mercado no puede producir. El cobre y la plata no se imprimen.
Y claro, a todo esto súmale una de las mayores épocas de devaluación monetaria de la historia de la moneda fiat y déficits fiscales.
Déficits de oferta, déficits fiscales: Hay que estar ciego para no verlo....
China's share of global production:
🇨🇳 Gallium 99%
🇨🇳 Bismuth 73%
🇨🇳 Tungsten 83%
🇨🇳 Silicon 76%
🇨🇳 Rare earths 61%
🇨🇳 Natural graphite 67%
🇨🇳 Neodymium 62%
🇨🇳 Antimony 60%
The West spent 5 years talking about "friend-shoring"
The map didn't move.
The geology didn't change.
Meanwhile China tightened export controls on gallium, germanium, antimony, tungsten.
One by one.
While nobody was watching.
The next war won't be fought over oil.
It'll be fought over the minerals on this map.
And the country that controls processing — not just mining Already won.
The next cycle won't be defined by who found the deposit.
It'll be defined by who funded the refinery.
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HORMUZ CLOSURE CRIPPLES FOOD SECURITY
UN Trade and Development warns the Strait of Hormuz disruption—traffic down 97%—is spiking energy, fertilizer, transport, and insurance costs, echoing Covid-19 and Ukraine war shocks.
With 20% of global oil/LNG and one-third of seaborne fertilizer (16 million tonnes in 2024) routed through the strait, food prices surge hardest on vulnerable developing nations facing debt burdens and soaring borrowing costs. Poorest countries like Sudan, Somalia, and others face acute fertilizer shortages.