Straight Answers
An LLM assessed 1,018 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 227 people on the record is accounted for: 5 carry a full rate (8 or more assessed questions on raw tape), 149 more have their questions counted (24 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 73 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
Pablo Srugo: every exchange, playable
The question Pablo 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.
“And I think, you know, happy year salespeople for always forget, how do I identify the person using experienced muscle memory? That's going to kibosh this thing.”
answered: “rarely is this idea of a challenge for mentioned”
“And, and a lot of it is like, Hey, you know, talk to customers, like understand what the pain actually is. And like, you know, I, they, they always try to discredit that time, but like, I, I put a lot of weight into it where it's like, well, what did, yeah, like, I'm curious, what did you, what did you see?”
answered: “Cause cause cause of the, the negative view, let's say it would be okay.”
“It's more like every one of my customers is slightly different. So how do I build product architecture and technical architecture to support those differences in a good way?”
answered: “it's interesting you, you say that, you know, there's that quote”
“That's right. Well, he's not the CEO anymore, right?”
answered: “Oh, I know, but you'd think that at least read it. But you know”
“So they can receive orders that are placed through the internet. How are we going to make this work?”
answered: “how did you even take those first few steps and have conversations”
“So there's a balance to find there, right? Which is how do you both invest in the things that you need to go prove as quickly as possible and get ahead of what's coming while also, you know, kind of staying as lean as you possibly can.”
answered: “I'm curious, like, what was top of mind for you during that first year”
“If you can go from zero to eight enterprise customers in six months, that's like a good start. So that's kind of like the first guardrail and did the business continue to grow?”
answered: “And I'm curious before you move forward”
“I would have never have known that, but I know that if you go through this process of starting through your target audience and figuring out kind of like where they want to be reached and how they want to be reached, you don't have to guess. Is that, does that kind of connect?”
answered: “The question I have though, is when it comes to like traditional media”
“I remember, like, a month in, He sent me this, you know, a hundred page personality questionnaire and assessor compatibility. Like she's like, even my wife, I did, uh, have you something like that?”
answered: “How do you, you know, let me ask you this, man.”
All speakers
All 5 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 |
|---|---|---|---|---|
| Parker Gilbert Co-Founder and CEO, Numeric | 27% | 3 | 11 | 3.9 |
| Pablo Srugo Partner, Mistral Venture Partners | 25% | 9 | 36 | 3.9 |
| Peter Walker | 0% | 0 | 8 | 4.4 |
| Kyle Hanslovan Co-Founder and CEO, Huntress | 0% | 0 | 10 | 4.4 |
| Arvind Jain Co-founder & CEO, Glean | 0% | 0 | 8 | 4.4 |
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).