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 →

Pedro Alves 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
0on raw tape
1redirected or not addressed
Answered produced feed D 4 · C 5 · P 4 · Cm 4 4.30

Q Okay. And give me a general sense of what you're working with here, right? So on average, what's a company or customer going to pay you per year to use the technology?

A So it's, we try to, um, build in a way that incentivizes people to build more models, to do more with AI. So initially investors really wanted us to charge per model built per project done. And that way, I think it goes back to the whole thinking, you know, the whole mentality of companies going, okay, we have these five projects. We only have money for two, which ones we choose. We didn't want that. So the idea is if we charge per user and say, you know, how many people are going to be using the software, a simple, you know, type of a user license, then they can build as many models and build as many projects as they want. So most companies are going to be in a six figure yearly engagement with us just because of the number of people they have. Got a few. They're going to be in the five figure. And then we have a couple that are in the seven low seven figure range yearly, but those are a lot of users, you know, bigger, bigger companies.

AI assessment note: “most companies are going to be in a six figure yearly engagement with us”

Not addressed produced feed D 2 · C 4 · P 3 · Cm 3 3.00

Q Okay, and how, uh, how, between when you wrote the first line of code, your first dollar of revenue, how much cash did you sink into the MVP?

A So the MVP we got to very quickly. I had been thinking about this for a good five years before starting the company. So when we hit the ground running officially, I had done a lot of the legwork, right? So we started officially in the beginning of February and we had a big demo day with an accelerator at the very, I think it was the last day of March or the very beginning of April. So it was like two and a half months and we had, I mean, granted what it looked like back then and what it looks like today was, There's a big difference, you know, three people working on it for two and a half months versus today. But, but yes, technically we had that initial demo that we could do with a fully functional piece of software within three months.

AI assessment note: “So it was like two and a half months and we had”

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