AY

bender of reality. twister of minds. builder of spectacles. provocateur of men. genius is 10,000 iterations behind closed doors.

[The Techno Optimist @technooptimist1]

Chamath Palihapitiya @chamath "Bro, there is no failure."

"That is what other people think of you to keep you down. There's no failure. If you were left on an island and it happened, you would just brush it off and move on. It's everybody else that you think is judging you. But then, here's the secret. They don't give a fuck about you. They are living their own lives. So it's your perception of what they think of you."

"There is no failure. There's do and learn. Do and learn. Do and learn. Do and learn."

@StanfordAILab

[AY @aylpvg]

@shivsakhuja Goose

[David Ondrej @DavidOndrej1]

im releasing all my agent skills to the public

this is hundreds of hours of trial & error

every single global .agents skill i have

go grab it. it's free.

[Khairallah AL-Awady @eng_khairallah1]

this is f*cking gold

How to build your first AI agent (Full guide)

if I had this a year ago, I would've shipped my first agent in a day instead of 2 weeks

in the right hands, this changes everything:

[Matt Pocock @mattpocockuk]

I poured my 10 years of teaching experience into a skill.

It's called /teach, and it can teach you anything.

Here's how it taught me to solve a Rubik's cube:

[AY @aylpvg]

@businessbarista AI-Native

[AY @aylpvg]

@spwfeijen V2

[AY @aylpvg]

@jordan_ross_8F OS

[AY @aylpvg]

@coldemailchris PLAYBOOK

[My First Million @myfirstmilpod]

The AI App Layer is a valuation trap, and most AI apps will go to zero.

Billionaire investor @GrahamCWeaver breaks down the four AI zones. Pick wrong and you’re cooked:

1. Infrastructure Layer (SAFE): Chips, data centers, energy - print money as long as the lights stay on.

2. Model Layer (RED): OpenAI, Google, Anthropic - you need billions and success is already priced in.

3. App Layer (DANGER ZONE): High churn, constant attack from LLM updates and customers building it themselves.

4. Use-Case Layer (GOLD): Buy boring operating businesses and use AI to crush the overhead. This has real cash flow + automation.

Stop trying to out-code the giants in the cloud.

Go where the algorithm can’t follow: proprietary data, deep customer relationships, and real-world results.

The ultimate moat isn’t a better prompt; it’s owning the actual customer in the physical world.

@thesamparr @ShaanVP

[Rohit @rohit4verse]

https://t.co/3MgR2Mp5AV

[Aakash Gupta @aakashgupta]

There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild.

He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already know, the places you already go, the ideas you've already been exposed to. Your opportunity window is fixed.

When you move, your collision rate with new nodes in a network increases nonlinearly. Double your movement (new conversations, new cities, new projects) and your probability of a serendipitous encounter doesn't double. It roughly quadruples. Because each new node connects you to their entire network, not just to them.

Richard Wiseman ran a 10-year study at the University of Hertfordshire tracking self-described "lucky" and "unlucky" people. The single biggest differentiator wasn't IQ, education, or family money. Lucky people scored significantly higher on one trait: openness to experience. They talked to strangers more, varied their routines more, and said yes to invitations at nearly twice the rate.

The "unlucky" group followed the same routes, ate at the same restaurants, and talked to the same 5 people. Their networks were closed loops. No new inputs, no new collisions.

Luck isn't random. Luck is surface area. And surface area is a function of movement.

The lobster emoji is doing more work than most people realize. Lobsters grow by shedding their shell when it gets too tight. The growth requires a period of total vulnerability. No protection, no armor, soft body exposed to the ocean.

That's the cost of movement nobody posts about. You have to be uncomfortable first. The new shell only hardens after you've already moved.

[The Startup Ideas Podcast (SIP) 🧃 @startupideaspod]

10,000 SEO pages in 48 hours.

Here's how programmatic SEO actually works:

Keyword pattern: Pick "best X for Y" or "service in city"

Example: "best CRM for dentists"

Data set: Scrape structured data with tools like Firecrawl

Real info.
Real value per page.

Template: Build one page layout using Claude Code or Codex
- Every page follows the same structure.

AI content: Generate unique paragraphs per page
- Not variable swaps. Actual quality.

The math:
- 10,000 pages × 30 visits/month = 300,000 visitors
- 2% conversion = 6,000 conversions
- $10 each = $60,000/month

From pages you built once.

Start with 100 pages as your MVP.

Monitor indexation.

Then scale.

[Andrew Farah @andrewfarah]

sharing my first open source project

a CLI for downloading and syncing your X bookmarks locally so your agent can access them. it's free

› npm install -g fieldtheory
› login to your X account in a chrome tab
› ft sync (done!)

bonus:
› ft viz
› ft classify

[Shabnam Parveen @shabnam_774]

🚨 In 1992, a MIT lecture quietly revealed more about product and sales than most 2-year MBAs ever will.

Most people have never seen it.

It came from Steve Jobs and instead of teaching theory, he broke down how great products actually win.

Watching it today feels unreal.

He explained that people don’t buy products they buy meaning. The best products aren’t just functional, they connect with how people see themselves. That’s why some ideas spread effortlessly while others die, even if they’re technically better.

He also made it clear that marketing isn’t about features. It’s about clarity. If you can’t explain why your product matters in simple terms, it won’t matter at all. Complexity doesn’t impress it confuses.

And his biggest edge? Obsession with experience. Not just what the product does, but how it feels. The small details, the simplicity, the story that’s what separates good from unforgettable.

That’s why this MIT lecture still hits hard.

Because while most people are building products…

Very few understand why people actually buy them.

[Aakash Gupta @aakashgupta]

Andrew Ng dropped absolute gold on AI careers

[Roan @RohOnChain]

This 2 hour Stanford lecture on AI careers will teach you more about winning in the AI race than every piece of AI content you have scrolled past this year.

Bookmark this & give it 2 hours, no matter what. It'll be the most productive thing you could do this weekend.

[darkzodchi @zodchiii]

> use Claude Code for 3 months
> manually fix mistakes every day
> manually make sure claude did what you asked for
> no hooks
> discover hooks exist
> 10 minutes of setup
> all of this routine is now automatic
> never working same again