Straight Answers
An LLM assessed 988 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 186 people on the record is accounted for: 4 carry a full rate (8 or more assessed questions on raw tape), 172 more have their questions counted (50 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 10 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
No needle for Miles Clements: fewer than 8 assessed questions on raw tape, and a percentage on a sample that small would mislead. Their counts are real: 2 not answered directly in 6 assessed questions.
Miles Clements: every exchange, playable
The question Molly 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.
“just extreme growth for these companies. Uh, so, like, what is your current view on where that lands in the next, like, I don't know, by the end of the year, do you think we're starting to, like, kind of see inklings of, like, actual agent adoption and, like, It's definitely banging around a bit, and it's a little bit messy, but like, how do you see this playing out?”
answered: “Can I do something super controversial before we get to this very important topic?”
“We're in a ridiculously chaotic, a little bit schizophrenic Era where it is like land grab time, logo grab, talent grab. How are you thinking and like, what are you seeing of the different types of funding and how that's changed?”
answered: “we're incredibly lucky to work at a place like Excel that allows us to prosecute”
All speakers
All 4 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 |
|---|---|---|---|---|
| Molly O'Shea Founder & Host, Sourcery | 22% | 2 | 9 | 4.0 |
| Kian Sadeghi Founder & CEO, Nucleus Genomics | 18% | 2 | 11 | 4.1 |
| Packy McCormick Founder & Writer, Not Boring | 13% | 1 | 8 | 4.0 |
| Michel Del Buono Chief Investment Officer, a16z Perennial | 0% | 0 | 10 | 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).