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 →

Joseph Walla 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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2exchanges match
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Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q You bet, man. Okay. Hello sign. Uh, tell us real quick, what, what does it do and how do you make money?

A Yeah, I think the big, um, zooming out a little bit, the fundamental thing that we're doing is we're solving the document transaction problem and people don't realize that they have this problem and originally started out with, you know, hello fax, um, because, uh, we were working and on the go, um, and we didn't have a fax machine. And then we figured out that when we had to sign documents, we had to go to Kinko's as well. And then we found out that a lot of people needed to automate these document transactions. And that's when we launched our API. In terms of how we make money, um, we have a freemium product so people can go, they can try out the products for free. And then, um, when, you know, they hit certain limits, that's when we, uh, encourage them to upgrade similar to say your Dropbox or Box.

AI assessment note: “In terms of how we make money, um, we have a freemium product”

Partly produced feed D 3 · C 4 · P 3 · Cm 3 3.30

Q things that look at tech, average tech salaries in the Valley, and you can see that a CTO on average makes 220 K. I'm just asking, you're much better than an aggregated data source because you're actually doing it right. You know, the average kind of, kind of developer salary in the, in the Valley, whether it's at your company or just on average is what based off your perspective?

A Yeah. I mean, this is something, I mean, if you go look at, um, I mean, it's really, it's really hard for me to say because it really depends on the stage of the company. And I think what you'll notice is that, um, you know, salaries are different from say, if you work at Google versus like a startup company or, um, different stages of the company and different equity versus salary mixes. So I think, um, it, you know, it'd really be hard for me to give like a salary number. And I think that generally what you do is, um, you know, we use software like pay scale, um, And other software in order to like figure out on a per person basis, you know, based on their experience, um, how much, how much we offer appropriate. Yeah, exactly.

AI assessment note: “it'd really be hard for me to give like a salary number”

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