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 →

Rahul Sonwalkar no published score: only 2 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
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Answered raw tape D 5 · C 4 · P 4 · Cm 4 4.30

Q Yeah, they either, they either think they're, they're doing a startup, and they should do this, or they think they're outside, and they're like, this is how bad startups are. Yeah, I don't think many startups are doing this, but if you've talked to VCs, is like quality of revenue coming up, revenue concentration, circular revenue deals, is any of that coming up these days?

A I think, I think investors deeply care about all those things, and good investors still do their due diligence when investing in companies. Um, especially when they're at a mid to later stage. Right. Um, but really like, where do you draw the line? Right. You, you see NVIDIA investing in a lot of Neo clouds that go buy their GPUs. Um, they help start these new, new clouds. And then you have, um, of course, like, uh, NVIDIA investing in, in AI labs that end up being like downstream consumers of these, of these, um, uh, these GPUs. And so like, I think in a, in a way, like, Yes. It's kind of like a revenue swap where you're investing in a company and then like, they're kind of like buying your product. Um, kind of like trading dollars. Um, but, um, so I think there's like, uh, in some places it makes sense in some certain context in the, if you're a founder though, any for the early stage founder, if you're just like going for this, you have to ask yourself like, okay, what am I really in this for? Like, am I here to like build a business and build a thing that people want? Or am I here to just like.

AI assessment note: “I think investors deeply care about all those things”

Answered raw tape D 5 · C 4 · P 4 · Cm 4 4.30

Q Yeah, they either, they either think they're, they're doing a startup, and they should do this, or they think they're outside, and they're like, this is how bad startups are. Yeah, I don't think many startups are doing this, but if you've talked to VCs, is like quality of revenue coming up, revenue concentration, circular revenue deals, is any of that coming up these days?

A I think, I think investors deeply care about all those things, and good investors still do their due diligence when investing in companies. Um, especially when they're at a mid to later stage. Right. Um, but really like, where do you draw the line? Right. You, you see NVIDIA investing in a lot of Neo clouds that go buy their GPUs. Um, they help start these new, new clouds. And then you have, um, of course, like, uh, NVIDIA investing in, in AI labs that end up being like downstream consumers of these, of these, um, uh, these GPUs. And so like, I think in a, in a way, like, Yes. It's kind of like a revenue swap where you're investing in a company and then like, they're kind of like buying your product. Um, kind of like trading dollars. Um, but, um, so I think there's like, uh, in some places it makes sense in some certain context in the, if you're a founder though, any for the early stage founder, if you're just like going for this, you have to ask yourself like, okay, what am I really in this for? Like, am I here to like build a business and build a thing that people want? Or am I here to just like.

AI assessment note: “I think investors deeply care about all those things, and good investors still do”

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