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 →

Harshit Agarwal 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
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0redirected or not addressed
Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q Interesting. And looking back, would you have done the same thing again? Was that a fair amount, a fair valuation?

A I, I personally feel that, uh, uh, at that time it was not really, really required for us to raise funds. Uh, uh, we could have delayed it a little further and raise that better valuation overall. Uh, uh, because majorly, I think, uh, we had to test our MVP and all of that. We could have done it a lot cheaper and a lot earlier, uh, basis. I think that is the learning we had over a longer period. Uh, after two years, also, once we released the product, it was not really focused on right customer segment and that, that whole Thing happened after 2018, when we hit a roadblock where we didn't have funds, we are about to shut down and we had to go back to a drawing board and go, go and go and understand everything again. So, so from that whole learning experience, if I would have done it again, I would have not raised funding that early. I would probably have raised a little later when I had clarity on what metrics I could grow on with that fund. How could I use it and get the maximum ROI?

AI assessment note: “if I would have done it again, I would have not raised funding that early”

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