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 →

Simon Ponsford 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 5 · P 5 · Cm 4 4.85

Q Okay. Maybe 250 K a year or something like that. Okay, cool. So big gap here. Give me the backstory. When did you guys launch?

A So we actually, the business itself started in, uh, 2015, so we've been going for, for over six years, and we actually launched our first product, uh, about six months into the business, but, uh, that was very different. It's just a very small subset of the functionality we have today, so we started generating revenue, I guess, very early on, you know, in our journey, but we are quite different from, uh, from where we started out. Um, very early on, a lot of people coming to you just were people that wanted to make, um, Movies and animation and be able to render special effects, et cetera. So that was really a big market for us when we, uh, when we kicked off, it was really that transition whereby studios needed to move from say HD filming to four K and they didn't have enough compute. And so they chose yellow dog in order to be able to, to get that compute generally from the cloud.

AI assessment note: “the business itself started in, uh, 2015... we actually launched our first product”

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