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 →

Jesse Lempiäinen no published score: no usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.0/5 from 4 produced feed exchanges 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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Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q Give me more of the background story here. When did you launch the company? What year?

A Right. So, uh, it was actually 2019 when we got the idea. I was still working at Rovio back at that time. And this was actually a problem that I had at Rovio. So I was trying to find a, a tool that would allow me to actually, uh, like find out what would be the best app name for a new game that we were making. And I looked at the market. I saw one tool that didn't work and another one that costed like 60,000 bucks for this one test. And I was like, okay, there, there's gotta be an easy way to do this. Called my friend. Uh, I said, let's fix this. Uh, he said, yeah, we need two other guys to, to, to help us actually build this tool. And then we got our founding team together, uh, and got our like first sort of MVP out in 2020, uh, right in the midst of, of, of COVID actually. Uh, so another COVID, uh, uh, like spawn.

AI assessment note: “it was actually 2019 when we got the idea... MVP out in 2020”

Answered produced feed D 5 · C 4 · P 5 · Cm 4 4.55

Q Understood. And give me a general sense of, of, of economics here. How much do customers pay on average per month to use the technology?

A Yeah. Uh, so on average we're a bit over a thousand bucks a month, uh, 1200 ish. Uh, and it ranges from all the way up from like 300 bucks a month, uh, to like 5000 plus. Uh, so you asked earlier whether we're strictly software or, or also, um, Also, uh, on, on, um, the agent side of things. So we don't have an agency, uh, but as you mentioned, we actually won the app marketing agency award, uh, like, uh, this year. So how it goes is that with like the very high end, uh, like tiers that pay us like 5000 bucks a month ish. Uh, so we actually are very hands on in helping them not only use our tool, but also building the strategies around like how they can Get the most out of our tool and make successful campaigns.

AI assessment note: “on average we're a bit over a thousand bucks a month, uh, 1200 ish.”

Answered produced feed D 4 · C 4 · P 4 · Cm 3 3.85

Q How does money solve that? You said bootstrapping is restricting you. I think, I mean, from what you're telling me, it's like, how do you know it's money restricting you versus creativity restricting you?

A So, so like, honestly, we actually, uh, by the end of last year, we, we didn't take all the, all the agreements in, uh, in December that we could have. So we actually put some agreements, uh, that we're just going to start them in January where we knew that we were going to get more people because we wanted to make sure that we actually have enough account managers to take care of them rather than us ending up on a situation where we actually were a bit, um, like earlier last year, uh, where we, uh, Had a lot of customers coming in, and then, like, not clear enough processes, not enough people to then actually serve them in a level that we, we wished to serve them. So that's- People to serve them.

AI assessment note: “we wanted to make sure that we actually have enough account managers”

Answered produced feed D 4 · C 4 · P 3 · Cm 2 3.45

Q Help. I mean, it's a tough conversation. It's the first tough conversation you have as a founder, right? So help our audience. How did you guys decide who gets what equity?

A Like, uh, so, so basically we, we just looked at like what everyone's doing. So, so what are the responsibilities and how much time as well? Like, because we, we sort of split it between all the founders jumped in into it right away, full time and so on. So like, uh, that, that was kind of the, everything also part of our company culture from, from, Starting from us founders was like, uh, no bullshit. And that's what we live, live by us founders and we've lived by ever since. So, uh, that's how we got with, with those tough conversations, just quickly talking about like things as they are and putting things on the table and being honest about things.

AI assessment note: “we just looked at like what everyone's doing. So, so what are the responsibilities”

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