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 →

Ethan Appleby 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.

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1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 4 · P 3 · Cm 3 3.90

Q Lifetime. Okay, cool. A 100,000 buyers. So what were you, do you look at this? I mean, is the revenue pretty predictable month to month or do you have to hustle every month to get new sales?

A It's amazing. We are still, still hustling. Um, I mean, it's just, it, it, it, it scales and it changes in a way, but every month, um, you know, you continue to figure out like, okay, what are we gonna do this to, to grow? And we went through 500 startups, which is an incubator program about a year ago. Um, and they helped, helped us really think about how to, how to approach that and like constantly, um, you know, be iterating and, and trying different things. And I think the only, I was just gonna say, the only difference is that, right? It's kind of like in scale and part of it's just like the number of people you have on your team. So early on, you're doing a growth hack where you're like literally calling like all your parents and friends, you know, on Friday, just like hit your numbers. Right. And then you run out of odds and then you're like, okay, like, you know, let's do this. And so it just kind of, that's, it just changes in, And I guess how big the, the growth hacks are.

AI assessment note: “We are still, still hustling.”

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