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 →

Olivier Pailhès 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.

clear all ✕
2exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q So tell us more about air call. What exactly does it do? And are you self-funded or, or, or, uh, have you raised capital?

A Yeah, so what we do, we build a software that lets companies set up and deploy extremely easily a solution for their phone support. Um, so we use by, let's say, Uber, Deliveroo, I mean, all the on-demand economy, a lot of tech companies, um, to just start doing business, calling customers, getting calls from customers, and just making sure all calls are attended wherever the team is based. Um, so basically thought that, hey, you've got a lot of tools that are extremely easy to use for file sharing, for chat rooms, but just phone call is just a pain to handle. So we're going to build something extremely simple. And, um, and so we started that about two years ago, uh, with a couple of friends I knew in my consulting years. Uh, and then we raised a bit of money earlier last year, in, uh, like half a million dollar, and we closed last week, a larger seed round of 2.8 million dollars, um, to just keep the growth going.

AI assessment note: “we build a software that lets companies set up and deploy... we raised a bit of money”

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

Q So what kinds of physical assets are you talking about?

A Factories and stocks and everything like sheet metal. Um, I mean, really physical stuff that you transform to sell to your customers. So we, this company was active in the building industry. So we are doing roofs and walls for whatever, wall mouth and this kind of stuff. Got it. So, um, then the subprimes came in and then it was a heavy restructuring, actually like reducing the workforce by about half. Uh, to bring back the company to profitability. And, um, that was quite an experience, I must say. Uh, but then after that, I just thought, Hey, I mean, that's, you know, it's too big of a company as a whole. Uh, and, and I want to just build my own and just be on a gross curve rather than on a restructuring curve.

AI assessment note: “Factories and stocks and everything like sheet metal.”

page 1
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 2,600 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.