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 →

Kenny Ewan 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 5 · P 4 · Cm 4 4.60

Q So Kenny, just to be clear though, you're not incentivizing the people give answers, kind of like how Cora, right? You just go on and answer. How are you like where, uh, the money you have raised, where are you spending most of that right now since you don't have to pay these people?

A Uh, yes, so we're not incentivizing in any financial methods. Uh, in fact, we're not really incentivizing even in clever gamification ways at this time. That's, we're still very much using our MVP product. Uh, that's very much on our roadmap for this year is how do we start to get clever about giving people badges and significance within the platform. But at the moment, our, our raise is, is very much for a couple of things. I mean, one is to grow our team. Uh, we're now 20 people, as I say, most of that hired off the back of our, of our rant, um, and to improve our, our, our product. So, you know, it's, it's an MVP. It's done extremely well, and now we need to take that to the next level. We need to have some of the best machine learning and natural language processing algorithms on the planet because of the nature of the content that we're, um, that we're processing. So that's obviously going to take a lot of capital to get us through the next year and grow the platform towards a million users.

AI assessment note: “our raise is, is very much for a couple of things. I mean, one is to grow our team”

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