Straight Answers
An LLM assessed 416 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 →
Every one of the 230 people on the record is accounted for: 6 carry a full rate (8 or more assessed questions on raw tape), 112 more have their questions counted (22 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 112 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
Jordi Hays: every exchange, playable
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.
“It's pretty safe, right? You don't, you don't have this startup, you know, you're not sure if it's going to work or not.”
answered: “Everyone's focused on the AI wars, not enough attention going to the Sana wars.”
“Uh, I wonder if he, I would like to see the cold email that he sent to get that job. Share it, Jack.”
answered: “everybody listening has positive stories around cold emails, but you always remember the negatives.”
“Also like this is kind of a nitpick, but isn't that a V six, right?”
answered: “Is it? I don't know. Is this good for video explainer channels”
“The artists and the labels think it's not fair use. And somebody is making a lot of money on a new company thinks it is fair use.”
answered: “I'm actually not taking aside one way or another, but they're making an art”
“It's not about making the models like, Way smarter at whatever. It's like, how do you have the model be useful or fun, engaging?”
answered: “I'm curious, uh, any, um, is all the stuff around every B to B SaaS”
“Do they have a comically large baton? Like, like we have our scoop?”
answered: “Yeah. Oh, Mark Gurman, the scoopinator, he's a scoop doggy dog”
All speakers
All 6 people with 8 or more assessed questions on raw tape. Click a name to see their exchanges. highest rate none identified small samples
| Person | Not answered directly (%) | Redirected + not addressed | Questions | Argument clarity /5 |
|---|---|---|---|---|
| Jordi Hays Co-founder & Co-host, TBPN | 60% | 6 | 10 | 3.6 |
| John Coogan Co-Host, TBPN | 31% | 16 | 51 | 3.9 |
| Delian Asparouhov Partner, Founders Fund | 11% | 1 | 9 | 3.9 |
| Augustus Doricko Founder & CEO, Rainmaker | 11% | 1 | 9 | 4.3 |
| Marc Andreessen Co-Founder and General Partner, Andreessen Horowitz | 10% | 1 | 10 | 4.0 |
| Brian Armstrong Co-Founder & CEO, Coinbase | 0% | 0 | 12 | 4.3 |
Percentages come from raw unedited recordings only: produced podcast audio has tangents and stumbles cut in the edit, which moves the speaker up by about 12 percentile points. The small-sample counts include the produced feed. 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).