The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Kevin Hartz argument clarity score 4.0/5 from 25 exchanges on raw tape · average scores: directness 4.2 · coherence 4.2 · precision 3.6 · compression 3.3 record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

clear all ✕
31exchanges match
25on raw tape
2redirected or not addressed
Not addressed raw tape D 1 · C 3 · P 2 · Cm 2 2.00

Q Can I ask, with such a fantastic angel portfolio, what was behind the decision to institutionalize your angel investing with the move to Founders Fund? What was the catalyst for that decision?

A Well, I think that you really have to capture, you know, what's the expression? Lightning in the bottle. To have found a company, I mean, all the, the elements, uh, you know, that primordial soup has to be just right for company formation. But on the other hand, the investing side is really this wonderful position to really go out there and find and, and help founders, uh, get their companies off the ground and, and really look for that next great company. And, and, you know, having kind of put in log the time on the operating side, I was really excited to To be on the other side of the table and really, really mentor new companies and hopefully bestow some wisdom in the process of doing that.

AI assessment note: “having kind of put in log the time on the operating side”

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