Straight Answers
An LLM assessed 938 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 195 people on the record is accounted for: 5 carry a full rate (8 or more assessed questions on raw tape), 171 more have their questions counted (16 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 19 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
No needle for Greg Isenberg: fewer than 8 assessed questions on raw tape, and a percentage on a sample that small would mislead. Their counts are real: 0 not answered directly in 1 assessed question, edited feed included.
Greg Isenberg: every exchange, playable
The question Greg 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.
“I'm not saying it's bad. I'm just saying, why is everything purple?”
answered: “I don't know, man, but I don't like it. I don't like it”
“Um, what was your big rejection? What, uh, what, what, what kind of cemented that realization for you?”
answered: “I can tell a lot of stories about how like I've gotten rejected”
“Like I, it's hard to identify like what is actually unique Data. Because all they need to do is gobble up a big enough sample size to have it be predictable in almost any arena.”
answered: “I want to talk about a few things... So the Cal AI example”
“You can't do it all. So how do you decide?”
answered: “I only go on Twitter while I'm drinking coffee. I call it the coffee framework.”
“It's like, what if we can get to that level? What was the unlock of our creativity?”
answered: “There's an opportunity to use something like this and basically do client work”
“Um, and so I'm, I'm curious just for your guys' perspectives on that. Like, have you found in general that overthinking results from inaction?”
answered: “when you think about zero to one consumer social, it's probably 90% art”
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 |
|---|---|---|---|---|
| Jonathan Courtney CEO & Co-Founder, AJ&Smart | 11% | 1 | 9 | 4.1 |
| Theo Tabah Co-founder & COO, Late Checkout | 0% | 0 | 8 | 4.2 |
| Michael Shemelis DX Engineer, Convex | 0% | 0 | 10 | 4.2 |
| James Dickerson Founder & CEO, Boring Group | 0% | 0 | 9 | 4.2 |
| Roberto Nickson Founder, Eluna AI | 0% | 0 | 9 | 4.2 |
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).