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 →

Bart Lorang 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 ✕
1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 5 · P 5 · Cm 5 5.00

Q Understood. Got it. And okay. So tell us more kind of about the story. So what year did you found the business in?

A Uh, 2010, I found out the business and, uh, it was really just to solve my problem, right? As a, an entrepreneur, as a hustler, as somebody who's dealt with contacts for a long, long time, I was just annoyed that I didn't have a unified central database that was always up to date for me or for my business. And there was no application other than actually focused on contacts. If you think about it, all the SaaS applications focus on something else as the core transaction, right? MailChimp focuses on sending emails. Salesforce focuses on sort of opportunities. Um, NetSuite focuses on financial general ledger, and contacts are sort of like, oh, we have to have that, so let's build a generic table, but it's not really very intelligent, and so we had, we want to add contact intelligence as a layer that unified that data from all these different services.

AI assessment note: “2010, I found out the business and, uh, it was really just to solve”

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