Sequoia's thesis that the next $1T company will sell work, not software, is the most important reframe in AI right now.
The argument: if you sell a copilot, you're competing with every new model release. But if you sell the outcome — books closed, contracts reviewed, claims handled — every AI improvement makes your margins better, not your product obsolete.
The key insight most people miss: for every $1 spent on software, ~$6 is spent on services.
The entire SaaS playbook was about capturing the software dollar. The AI playbook is about capturing the services dollar — at software margins.
Not "AI for accountants." The AI accounting firm.
Not "AI for lawyers." The AI law firm.
The companies that figure this out won't look like SaaS companies. They'll look like services firms rebuilt on software infrastructure.
That's a fundamentally different company to build, fund, and scale. And most founders are still building copilots.
You won’t lose to AI.
You’ll lose to someone who mastered Claude Code first.
I put together every resource you need to go from curious about Claude Code to actually shipping with it.
This Includes:
🚀 3 Getting Started resources
📚 4 Long Courses
🧠 4 Best Practices guides
🛠 3 Tools & Libraries
🐙 8 battle-tested GitHub repos
📺 6 YouTube tutorials from builders actually using it
👥 6 creators worth following
📧 6 newsletters to stay sharp
This isn't theory. It's the exact stack people are using to build real products right now.
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This is insane 😳
Most people are just using AI tools
Very few actually understand how they work
So I collected Stanford’s complete LLM curriculum
and turned it into a step-by-step learning path
Worth over $500
Giving it away free for the first 4,500 people
Transformers → Training → Alignment → Agents → Evaluation
Study this once and you’ll stop guessing with prompts
and start thinking like a real AI engineer
How to get it:
Follow must (so i can dm you)
Rt and comment 'LLM'
This is insane 😳
Most people are just using AI tools
Very few actually understand how they work
So I collected Stanford’s complete LLM curriculum
and turned it into a step-by-step learning path
Worth over $500
Giving it away free for the first 4,500 people
Transformers → Training → Alignment → Agents → Evaluation
Study this once and you’ll stop guessing with prompts
and start thinking like a real AI engineer
How to get it:
Follow must (so i can dm you)
Rt and comment 'LLM'