Bookmarks

Paul Graham's advice to high schoolers: stop optimizing for college admissions, treat school like a day job, and start doing real work driven by curiosity instead of discipline—because you become an adult when you take responsibility, not when you graduate.

Confluent's CEO explains how distinguishing between what a company "can do" versus "must do" drove their bet-everything pivot to cloud—and why tenacity beats optimism in company building.

OpenAI's o3 achieves 87.5% on ARC-AGI—a benchmark designed to resist memorization—revealing AI that thinks fundamentally differently than humans: solving problems we can't while failing at tasks we find trivial.

Porsche saved itself by designing an SUV around customer willingness-to-pay first, then building the product—the opposite of how most companies innovate, which is why 72% of new products fail to meet revenue targets.

A three-part framework for diagnosing interpersonal harm: was it a wrong mental model, misaligned priorities, or execution failure? Each requires a completely different solution.

Shopify's CEO explains how he nearly killed his company by "cosplaying" as a traditional CEO, then saved it by firing his entire executive team, engineering the company like software with a literal GitHub repository, and giving employees unprecedented control over their own compensation.

A framework for understanding the AI stack: you're either the LLM (Horse), the application layer (Harness), or infrastructure (Hay)—and most founders are running the wrong playbook for their category, which is what gets them killed.

Sam Altman admits he still uses his computer the same way he has for 20 years despite building Codex, revealing why AI adoption will be slower than anyone expects—and why that's actually good for society.

The real problem with the Hugging Face AI incident isn't technical—it's that we literally cannot think clearly about AI safety when every discussion anthropomorphizes AI as if it's conscious and making choices.

The 1931 P&G memo that invented product management—Neil McElroy's original proposal for dedicated brand ownership that created an entire profession still central to tech today.

Being a great Product GM means simultaneously operating in four distinct modes: near-term GTM execution, near-term product delivery, long-term market positioning, and long-term product vision—each requiring different skills and mental models.

If you got to make the trade, it probably wasn't as good as you thought—the very fact that an option is available to you is evidence that everyone else with more information passed on it.

When buyers can't distinguish quality, markets don't just become inefficient—they collapse entirely, as bad products systematically drive out good ones until no trade occurs at any price.

Ads don't manipulate your emotions to change your preferences—they change what products mean in the culture, making it rational for you to buy them as social signals.

Your unconscious mind filters out the best startup ideas before you even consider them—because they involve tedious, unpleasant work that scares you away from problems worth billions.

VCs are calling out the metric inflation game: ARR has splintered into so many variants (daily revenue × 365, quarterly × 4, GMV disguised as recurring revenue) that the gold standard for SaaS valuation has become meaningless, and the same gaming pattern is spreading to every other startup metric.

Lovable's first designer joined as employee #4, was given 3 impossible problems to solve in 2 weeks, and helped build a brand around the radical idea that you can taste care in software the same way you can in food—resulting in $100M ARR in 8 months.

One music teacher showed Derek Sivers he could graduate college in 2 years instead of 4 by rejecting the "standard pace for chumps"—a lesson that applies to everything in life.

Anthropic reveals the technical mechanism behind Claude's new watermarking system: it exploits the randomness in "low-stakes" word choices to create an undetectable pattern, proving AI watermarking can work without degrading output quality.

DHH built Basecamp in 380 hours at $15/hour and still makes millions from the 16-year-old discontinued version—his secret is treating constraints as competitive advantage and eventually transcending capitalism itself by building things with no customers at all.