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 →

Yahya Mokhtarzada 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 That's great. And so how do you generate revenue?

A Absolutely. So we, we keep true will completely free for users. And that opens up a couple of new channels for us in the form of intelligent recommendations. Uh, when a user signs up for true bill, they connect their bank account or credit card, and that lets us see all their transactions, which we then scan with an algorithm to find the subscriptions. Uh, we use those transactions also to make recommendations. For instance, we might see user has Netflix and say, hey, you know what? Spotify wants to give you a free trial. Click yes to turn on Spotify. Free for 90 days. Or, hey, you're paying in the top 20% for car insurance for people in your zip code. Click here to get a quote from Metromile. And obviously, depending on the partner, we get paid maybe on the click, sometimes on the, if the user gets a quote, like for a student loan or car insurance, or sometimes if a sign up occurs from it.

AI assessment note: “depending on the partner, we get paid maybe on the click”

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