Straight Answers

An LLM assessed 168 question → answer exchanges, the host's own answers included. Speaker names were hidden during assessment. Each exchange was marked answered, partly, redirected or not addressed, with a quote as its source. Every exchange below is timestamped and plays. How it works →

These readings are observational: the transcript shows whether the question was answered directly, whatever the reason. It is an AI reading of a public exchange, never a claim about intent, and the tape is one tap away on every row. full disclaimer →

9not answered directly · why no rate? → 8playable exchanges ↓ 8people with at least one → 38people measured →

Nobody here carries a rate, and that is deliberate: rates are not published without enough raw tape, which means 8 or more assessed questions on raw, unedited recordings, and every the Y Combinator Startup Podcast episode we hold is the produced feed. So this page counts instead of rating. Every one of the 229 people on the record is accounted for: 38 have their questions counted (8 of them with at least one not answered directly), and the remaining 191 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.

The whole show 9 of 155 assessed questions, produced feed

No needle for Y Combinator Ledger: every tape we hold is the produced feed, and rates are not published without enough raw tape. So the board below counts exchanges instead of rating them.

All speakers

All 38 people with assessed questions on the record, ranked by how many were not answered directly. Every count comes from the produced feed. Click a name to see their exchanges.

Person Redirected + not addressed Questions Tape Argument clarity /5
Sam Altman CEO, OpenAI 2 6 raw ≈4.0
Michael Seibel Partner Emeritus & General Partner, Y Combinator 1 12 mixed ≈4.5
Juan Benet Founder & CEO, Protocol Labs 1 9 produced ≈4.0
Alexandr Wang Chief AI Officer, Meta Platforms 1 6 raw ≈4.0
Boris Cherny Head of Claude Code, Anthropic 1 6 raw ≈4.0
Harj Taggar Managing Partner, Y Combinator 1 6 raw ≈4.5
Jared Friedman Managing Partner, Y Combinator 1 5 produced ≈4.5
Garry Tan President & CEO, Y Combinator 1 1 raw
Jeff Dean Co-founder & CEO, Discovery Loop 0 6 raw ≈4.5
Quan Vuong Co-founder, Physical Intelligence 0 6 raw ≈4.5
Karine Malata Co-Founder & CEO, Variance 0 6 raw ≈4.5
Max Hodak Co-founder & CEO, Science Corporation 0 6 raw ≈4.5
Elon Musk CEO, Tesla and SpaceX 0 6 raw ≈4.5
Michael Truell Co-founder & CEO, Anysphere 0 6 raw ≈4.5
Tony Xu Co-Founder and CEO, DoorDash 0 6 raw ≈4.5
David Paffenholz Co-founder & CEO, Juicebox 0 6 raw ≈4.5
Jesse Pollak Creator and Lead, Base 0 6 raw ≈4.5
Bob McGrew Co-founder, Arda 0 6 raw ≈4.5
Jared Kaplan Co-founder & Chief Science Officer, Anthropic 0 6 raw ≈4.5
Rujul Zaparde Co-founder & CEO, Zip 0 6 raw ≈4.5
Jensen Huang Founder and CEO, NVIDIA 0 4 raw ≈4.5
Calvin French-Owen Co-Founder & Former CTO, Segment 0 4 raw ≈4.5
Spencer Skates CEO & Co-Founder, Amplitude 0 4 raw ≈4.5
Diana Hu Managing Partner, Y Combinator 0 3 produced ≈4.5
Pedro Franceschi Co-Founder and CEO, Brex 0 2 raw
Eric Ries Founder & CEO, Long-Term Stock Exchange 0 2 raw
François Chollet Co-Founder, Ndea 0 2 raw
Bryant Chou Cofounder, Webflow and Ploy 0 1 raw
Pete Koomen General Partner, Y Combinator 0 1 raw
Ozan Bilgen 0 1 raw
Brad Flora Group Partner, Y Combinator 0 1 raw
Derek Thompson Contributing Writer, The Atlantic 0 1 raw
Carl Pei Founder & CEO, Nothing 0 1 raw
Geoff Ralston Founder, Safe AI Fund 0 1 produced
Ryan Hoover Founder and General Partner, Weekend Fund 0 1 produced
Lillian Chou Co-Founder, Turnstile 0 1 produced
Ralph Goody Co-founder & CTO, TigerEye 0 1 produced
Jeff Bussgang General Partner, Flybridge Capital Partners 0 1 produced

The moments, on tape

The question asked, then the AI assessment note from the answer. Tap to play the moment. Not addressed = the question was not engaged; redirected = acknowledged, then steered elsewhere.

Not addressed Sam Altman ▶ 4:16

“later you, uh, came on to become president of YC and, um, you, you sort of brought exactly the same energy to, uh, a great many YC founders over the years. Um, did you have anything like, did anything jump out at you from that time around, you know, taking this raw energy of someone really, really smart and maybe a little undirected and then driving them more towards agency?”

answered: “I love startups. I think not everyone, they're not like for everyone”

Not addressed Michael Seibel ▶ 6:18

“And so, yeah, if you, if you take away all those fun little moments, um, where do you find the motivation to go further and to push harder? It's got to come from somewhere else.”

answered: “none of these moments kind of stick as much anymore in your head”

Redirected Boris Cherny ▶ 30:24

“Um, I'm curious now that effectively everyone can write software, what separates the exceptional builders from the rest? What, what are the qualities now that everyone can ship code?”

answered: “I would give like one caveat. So coding is solved for the kind of coding”

Redirected Alexandr Wang ▶ 4:21

“I guess selling data at the time, you know, large language models were not even, had not really come to the fore yet, Um, but self-driving cars were sort of coming up, and, and computer vision suddenly became, so that was sort of the first market, is that right?”

answered: “Yeah, so, the, the story here is that, like, I was, when I was at MIT”

Redirected Garry Tan ▶ 23:03

“Yeah. When you don't come from a classically trained world, which would be interesting for next generation.”

answered: “Well, you have to, because if you don't, the startup dies, right?”

Redirected Sam Altman ▶ 9:38

“How important are credentials? Um, you know, how would you answer that, especially people who want to do these harder tech things?”

answered: “a lot of the traditional things that were hard to get. Expertise... That's really shifted”

Redirected Garry Tan ▶ 2:50

“Can you add new brain areas? Are there ways to understand how the brain is like, what, What is going on either to use this to build smarter machines or to think about how to treat things like depression or addiction.”

answered: “Do you ever think about what that might be down the road?”

Redirected Harj Taggar ▶ 12:46

“We couldn't move money at the speed of light, but are now possible. And how do we actually use that to create this value?”

answered: “I want to talk about stablecoins more.”

Every count on this page comes from the produced feed: no raw unedited tape of the Y Combinator Startup Podcast exists in our library. Rates are not published without enough raw tape, so this page counts and shows no percentage. This is a reading of a transcript. It is not an accusation of dishonesty, and there are many good reasons not to answer a question directly (confidential numbers, unreleased products, someone else's news to break).

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