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 →

Andrew Jacoby 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
1redirected or not addressed
Redirected produced feed D 2 · C 4 · P 4 · Cm 4 3.40

Q It's not like that. What margin do you like to make per, by the way, I obviously don't like the people model. I like SaaS, but if you can do the people, you can do the people model efficiently. It's a whole different story. So like what margin do you like to make per hour of human time that's on your team? Right.

A That's it. We don't do it. We don't think of it that way, but to answer your first question, our year one, so we did in Uh, our first year was 2019. We did about a 129,000 year two. We did about four 50 and it started to get a little bit raggedy around the edges, around that half a million mark year three. We, we did about a 1.2 million. And that was when I tapped out at the sort of around that level. So around a little bit, a little bit north of a million bucks. Um, and luckily we had an executive coach at that time and he was a successful entrepreneur in his own right. And had built and sold multiple companies, but was doing coaching and consulting on the side. He was getting an itchy trigger finger to get back in the game because consulting, you're not actually in the cockpit. And he was looking for an opportunity. And luckily enough, we, uh, he, he joined and finished that story.

AI assessment note: “We don't think of it that way, but to answer your first question”

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