Don't just track what your users do, understand why they do it. The why behind the click is where you'll find the insights that lead to breakthrough product improvements.

The cost of acting on bad data is always higher than the cost of collecting good data. Don't let impatience lead you to make decisions based on a skewed view of reality.

Imagine anticipatory design 🤔 Apps that predict your next move using real-time context, not just data. Not “because you bought X, you’ll want Y.” But “because it’s 8:30am, you’re in transit, your calendar says meeting in 10 mins, and you skipped breakfast, here’s a 1-tap

The beaches in Pacifica are just different. I took this back in 2018 when I lived just right up that cliff. Yes, the world famous Taco Bell on the beach is just down the road. Take me back 💆🏽‍♂️

Most startups chase vanity metrics. The real edge? Reading the behavioral residue. Tiny signals like scroll speed, click hesitation, and session gaps show you what users want but may not realize it. Build for that, not assumptions.

YouTube’s cracking down. Starting July 15, only real voices and original content get paid. RIP Roblox speed runs with lazy AI audio.

The new dev stack 👨🏽‍💻 • Intuition • Prompting • Multiple tabs open • Deeply misplaced sense of confidence Somehow, it compiles.

here's how to use Grok 4 to go VIRAL on X: i grew this account from 0 to 10K+ followers in less than 2 months and already cracked the algorithm... but the integration of X inside Grok 4 is something different i built a collection of 30+ prompts and tasks you can steal: - find

AI swarms are coming. Not bigger models, smarter collectives 🤖🐝 Imagine this: You give a prompt 🗣️ One agent plans 🧠 Another finds data 🔍 A third triggers tools 🛠️ Others adapt in real-time ⚡ Suddenly: ✓ Your logistics nightmare is over ✓ Your product roadmap is clear ✓

🚨 Chamath explains Grok 4's breakthrough and how Elon leapfrogged the competition in AI: Elon Musk and the team at xAI understood "The Bitter Lesson" by Richard Sutton Chamath Palihapitiya: "(The Bitter Lesson) basically says in a nutshell, that you're always better off, when you're

Throw those midterms right out the window

Everyone’s obsessed with benchmarking the latest LLMs… but who’s testing the free ones? Let’s be real, most users are on the free tier. And free models aren’t just scaled-down versions, they’re often totally different. Where’s the comparison test that actually reflects how

This was an ad but it’s actually pretty sick

Thinking about deterministic design for AI insights engines… How do you ensure insights don’t budge when the dataset stays the same? Like, identical data = identical output, every run. But when the data changes, insights adapt. Sounds simple, but it’s tough to get right. 🔑