Sam Altman:
"We're going to see 10-person billion-dollar companies pretty soon."
"If I were 22 right now, I'd feel like the luckiest kid in history."
Most people will read this, feel inspired for 3 minutes, and go back to what they were doing.
The ones who act will build a one-person company this weekend.
One tool. Claude Cowork. Full operation.
This is the exact playbook ↓
The 10 fastest growing GitHub repos this week:
1. OpenMontage (+17.2K stars)
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
https://t.co/Eyne4RLb91
2. skills (+11.1K stars)
Skills for Real Engineers. Straight from my .claude directory.
https://t.co/PTYJ04IvSV
3. codebase-memory-mcp (+7.6K stars)
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
https://t.co/rdyghXFakB
4. Agent-Reach (+7.2K stars)
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
https://t.co/Bwjgn68nbE
5. daily_stock_analysis (+6.9K stars)
LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
https://t.co/3Pv4wIKQij
6. Anthropic-Cybersecurity-Skills (+5.1K stars)
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · https://t.co/Y0NuBsNoS7 standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
https://t.co/QkecybDfm4
7. design.md (+4.6K stars)
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
https://t.co/KB88s8dTzG
8. ai-website-cloner-template (+3.9K stars)
Clone any website with one command using AI coding agents
https://t.co/q2b9cpOhuE
9. voicebox (+3.8K stars)
The open-source AI voice studio. Clone, dictate, create.
https://t.co/o2JYalF0aB
10. penpot (+3.6K stars)
Penpot: The open-source design tool for design and code collaboration
https://t.co/fUHwzWq6y9
The theme this week: agent skill packs and context files are becoming the new developer dotfiles.
Bookmark this. Next week's list will look completely different.
Karpathy just wrote the manual for Claude + Obsidian as a real second brain.
Most vaults die the same way. A year of saved articles and highlights. None of it linked. The graph rots while it still looks impressive.
So he moved the upkeep to the model. You curate sources and ask questions. Claude files, links, and reconciles. You keep judgment. It keeps the books.
raw belongs to you and never gets edited. wiki belongs to Claude. It isn't RAG. Your sources compile once into linked pages and compound from there.
9 rules. Start with 10 sources, not 10,000.
Most people hoard notes. This turns them into a brain that maintains itself.
Holy sh*t, developers are going to lose their minds over this.
Someone just open sourced a repo that gives you 800M free tokens a month across every major LLM.
GPT-4. Claude. Gemini. Llama. Mistral. All of them. Free. Right now.
It's called freellmapi and here's why it changes everything:
→ 800 million free tokens a month — no credit card, no API key
→ Every major model in one place — GPT-4, Claude 3, Gemini Ultra, Llama 3, Mistral
→ Open source, MIT license, drop-in replacement for paid API calls
→ Works with any existing codebase — swap your endpoint, keep your code
→ No usage dashboard, no overage warnings, no surprise billing
Most indie developers spend more on API costs than they earn from their product.
This repo just made that problem disappear.
AI companies have been charging a fortune while this existed.
100% open source. MIT license. 2K+ stars and climbing.
repo: https://t.co/7yTDGP6LmR
(Bookmark this before your next API bill arrives)
A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems.
The shift: you stop prompting the agent. You build the system that prompts it instead.
Schedule → Discover → Build → Verify → Repeat
Every loop runs one turn, five moves:
• Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list.
• Handoff: each task gets an isolated git worktree so parallel agents don't collide.
• Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no."
• Persistence: results get written to disk, never left in a context window that gets flushed.
• Scheduling: an automation wakes it on a timer. That's what makes it a loop.
The key insight: an agent grading its own work always praises it.
This 11-page PDF changed how I'm building agentic systems today.
Read it now, then explore the article below.
must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must must read
Google Brain founder, Andrew Ng:
"100% of my tasks are done by ai agents, self-improving loops are next.
Give it 3-6 months and prompting is gone."
31 minutes of clear explanation on building self-improving agents from scratch.
Worth more than any $500 agentic course.
Watch it, then read the full guide on loops below.
A senior Google engineer dropped a 424-page doc on agentic design patterns.
424 pages.
Most engineers bookmarked it and never opened it again.
I read the whole thing.
Here are the 15 patterns that actually matter — explained in plain English, with exactly when to use each one ↓
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
Best YouTube Channels To Learn AI in 2026 (No BS). Save it.
1. Fundamentals – 3Blue1Brown
2. Deep Learning – Andrej Karpathy
3. AI Research – Yannic Kilcher
4. Practical AI – AssemblyAI
5. LLMs – AI Explained
6. ML Theory – StatQuest
7. Papers Simplified – Two Minute Papers
8. GenAI – Matthew Berman
9. AI Agents – Nicholas Renotte
10. Applied ML – Krish Naik
11. PyTorch – Aladdin Persson
12. Math for ML – Serrano Academy
13. Industry Insights – Lex Fridman
14. Real-world AI – DeepLearningAI
Google CEO, Sundar Pichai:
"If you don't learn how to orchestrate agents now, you'll spend 2027 catching up to people who started today"
In 30 minutes he explains why the best engineers stopped writing code and started building agents.
most people think building an agent requires an engineering degree.
it doesn't. it requires one guide and one afternoon.
watch the interview. then save the exact setup below.
one guide. one afternoon. that's all it takes.
the gap between you and the engineers winning in 2027 closes this weekend.
An asian guy has discovered a method to learn anything ten times faster using AI!
It just involves the Claude + Obsidian.
Most people learn the slow way: read, forget, re-read, forget again.
His flip: use Claude to turn anything you're learning into small, connected notes. Use Obsidian to link them so nothing you learn ever sits alone.
The slow way: highlight a book, move on, forget it in a week.
The fast way: Claude breaks it into atomic notes, and Obsidian links them into a growing web of knowledge.
Six months in, one new idea instantly connects to twenty things you already know.
I broke down every Claude resource you should try to master claude in 7 days with practical guide that most people have never found.
Article below ↓
stop asking Claude one question and thinking you understand the topic. you don't.
Stanford proved a better way. it's called STORM. peer reviewed. 25% more organized output. open source.
the trick: don't ask one question. ask five. from five different experts.
>the practitioner: what do they know that academics miss?
>the skeptic: what's the strongest counterargument?
>the economist: who profits from the current narrative?
>the historian: what pattern has played out before?
>the academic: what does the evidence actually say?
4 prompts. 5 minutes. no software. no GitHub. just paste into Claude.
single prompts give you what everyone already knows.
STORM gives you what nobody else found.
this article has all 4 prompts ready to copy. pick your hardest topic. paste prompt 1. you'll know more in 5 minutes than people who spent days reading.