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 →

Ayush (Bytes) 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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1exchanges match
1on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 3 · P 4 · Cm 3 3.85

Q And how much money is it that you guys need today?

A So we are looking to raise 500 K, uh, USD right now. So this is the pre-seed round which we are looking to raise. You already have a commitment of two 50 K around from, ah, ah, another VC. Ah, but yeah, the left of the one. We are even thinking if, can we increase the fund to one million, so that it gives us a, a largest million, the pilot can be increased more faster. And might we see some deployments on Bangalore, ah, with some of the gig workers. So we are trying to talk to insurance partners. We are talking to OEMs who are, let's say for example, Bounce, so they are selling to all of these, you know, delivery partners. They are seeing around 85 lakhs of kilometers on a monthly basis. So this data is very important to us. Our vision is that we will start deployment. Many of the VCs and folks asked that, why are we entering with two-wheelers? Four-wheelers is a much faster rate, you know, uh, ADAS is already a hard term there, but while working at Minas or our previous company, we understood that we are building such a cool technology sitting in India, in Bangalore, that would come down to, in India, at least after 10 years down the line. Let us be very frank to ourselves, autonomous vehicle in India, it will take time, right? And the cost of deployment, the cost of, uh, even doing a data collection in four-wheelers, It's like one crore per vehicle. Prakhar was leading that v…

AI assessment note: “we are looking to raise 500 K, uh, USD right now.”

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