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 →

Anand Sanwal no published score: only 1 usable exchange 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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Answered raw tape D 4 · C 4 · P 4 · Cm 4 4.00

Q thank you. Terrific. Um, I'm curious about the long-term vision, um, so the world of venture-backed companies, so that's dirty data, that's hard to get data, but the data is still out there. Is part of the idea to eventually become, you know, in reference to this beautiful place, the Bloomberg for private company information, meaning are you gonna go into, um, the world of private companies outside of venture?

A Yeah, so I think, you know, Bloomberg for private companies, I think, was always sort of the initial vision, um, so I think, you know, expanding our footprint outside of that is one thing. I, you know, I really think of us more, to some degree, going after, like, McKinsey, right? So if you think about McKinsey services as a pyramid, there's sort of that bottom layer, which is sort of, you know, what are my competitors doing, and where are markets going, that we think we can do better with data, um, and I think that, You know, scales across, you know, a bunch of big organizations who are always looking into insights into where industries are going, what their competitors are doing, so I think that's where we see just a much bigger opportunity, ultimately.

AI assessment note: “Bloomberg for private companies, I think, was always sort of the initial vision”

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