Ryan
14 posts




"High performance machines don't have psychological safety. They're about winning." Keith Rabois (@rabois) was COO of Square, part of the PayPal Mafia, an early investor in Stripe, Palantir, Airbnb, DoorDash, and Ramp, and a 2x founder. He's spent 25 years obsessing over how to build world-class teams. In our in-depth conversation, we discuss: 🔸 How to identify undiscovered talent 🔸 Keith's barrels vs. ammunition hiring framework 🔸 The three traits of the best-performing companies right now 🔸 Why talking to customers is actively harmful for consumer products 🔸 Why the PM role is dying 🔸 The specific interview question he asks every senior candidate 🔸 Why CMOs (not engineers) are becoming the #1 consumer of AI tokens Watch now 👇 youtu.be/xCd9ykretlg

.@pmarca: "The person who writes down the thing has tremendous power." "There are so few people who will just like write down the thing. And so we see this at companies all the time, which is, one of the ways you find the up-and-comers at a tech company is just, okay, who wrote down the plan? And, you know, that doesn't mean they came up with everything. And that doesn't mean that they had all the ideas, but they're actually able to organize their thoughts and then actually have the energy and the motivation and the skill to be able to communicate in a written form. That actually stands out." With @david_perell

My biggest takeaways from @rabois: 1. The team you build is the company you build. Founders get distracted by markets, customers, and technology. If you have the right people, those problems get easier. If you have the wrong people, none of those things save you. 2. Build your company on undiscovered talent. The only way to scale an organization against incumbents with infinite budgets is to find talent that large companies’ hiring machines will misprocess. In practice, this often means skewing younger—not because young people are inherently better but because they have fewer data points, which means typical evaluation systems can’t categorize them accurately. This is where the alpha often is. 3. Hire more “barrels,” not “ammunition.” A “barrel” is someone who can take an idea from zero to outcome without hand-holding. Most companies have only a handful of these people. Hiring more people without expanding the number of barrels doesn’t increase output; it increases coordination tax and creates drag. The ratio of barrels to ammunition is what determines the number of important things a company can pursue simultaneously. 4. CMOs are becoming the #1 consumer of AI tokens. At a few of Keith’s top portfolio companies, the heaviest user of AI is the chief marketing officer. These CMOs are running analytics, shipping campaigns, and generating insights that previously required entire teams of deputies. 5. The three signs a company will win: operating tempo, internal talent development, and “the relentless application of force” from the top. Keith identifies a consistent pattern across his best portfolio companies. First, operating tempo: Ramp shipped physical cards in three months when the industry standard was 9 to 12. Second, talent development through internal promotion rather than senior external hires; the CMO at one of his top companies was the previous chief of staff. Third, the CEO’s willingness to push harder as things improve, not less. Mike Moritz told a friend of Keith’s that the most common trait of the best CEOs is “the relentless application of force.” Complacency is the natural by-product of success, and the CEO’s job is to offset it. 6. For consumer products, talking to customers is not just unhelpful; it’s actively harmful. Keith refuses to let companies he advises conduct consumer research. His argument: Consumer decisions are subconscious. Ask any Porsche owner why they bought the car, and 99% will cite every reason except the real one. Once misleading customer feedback enters the organization, it locks into people’s brains and distorts every subsequent decision. 7. Keith believes the PM role may not survive the AI era. Taking customer inputs, building a sequential year-long roadmap, and coordinating between teams are structurally incoherent when AI capabilities change weekly. The skill that matters now across all three roles—PM, designer, engineer—is business acumen: understanding the company’s equation and knowing what to build next. 8. Great hiring comes from great referencing. Run at least 20 references, and keep going until you hit negative feedback. Ask specific, forward-looking questions (e.g. “Would you start a company with them?”). If every reference is positive, you haven’t gone deep enough. 9. Use a 30-day feedback loop to sharpen your hiring instinct. Thirty days after every hire, ask: would I hire this person again? This is as predictive as waiting years, and dramatically faster for improving your judgment. Make this a habit, and your hiring quality will compound. 10. Criticize in public, not private—it optimizes for the system. Keith endorses a management practice that most people find confrontational: delivering negative feedback in front of the team, not behind closed doors. Private criticism optimizes for the individual, but the rest of the company doesn’t know the issue is being addressed, which breeds anxiety and suspicion. Public criticism lets colleagues see that leadership is aware, creates opportunities for others to volunteer help, and turns feedback into a team-building exercise. Full conversation: youtube.com/watch?v=xCd9yk…


Every friend I talk to is overworked since AI. Working weekends. Always on their phone prompting. Kinda sad.

engineering leaders: dangerous mode in Claude shouldn’t be banned, it should be contained build infra for running it safely otherwise you’re leaving velocity on the table








