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 →

Troy Sultan no published score: no usable exchanges on raw tape, and a fair score needs 8+ 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 ✕
1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q So what do you tell, you've talked to obviously smart people at 500 startups. When they say, Troy, I don't think this can be big because if you do a better job, you're, you're, they're gonna then cancel. How do you answer that?

A Yes, I think, uh, if we do, you know, a good enough job that people come back whenever they're hiring, I think there's enough liquidity in the marketplace that people are kind of always hiring, and that's the, Easy cop out answer. The more challenging one is, um, this business is more so of an experiment. Like my whole entire life is, is how can I hack my way to the next checkpoint? And I think to a large extent the, the solution we have today is, is a hack to learn how to get something bigger. And what we're testing is this idea of a kind of liquid on demand marketplace for talent that we're, we've hired and we've vetted and gets distributed, uh, and you manage through our software. And so if we can All that for this specific piece of recruiting, um, we, we think we can verticalize into other types of talent.

AI assessment note: “if we do, you know, a good enough job that people come back”

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