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 →
Answered produced feed
D 5 · C 5 · P 5 · Cm 4 4.85
Q There's no doubt. There's no downside. Yeah. Okay. So NDA, you get the data. What's the investment package look like? And what, how, where'd you find investors?
A So I had worked with a gentleman named Ross Carroll before, helped him do very well. So he really became not, he was the only investor. He was essentially an angel investor. Um, him and I worked really well together and he became my business partner here at Mevo for the next 10 years. Um, and we looked at it and what we saw was that we had an asset here that was valuable, but the business model was so broken, they weren't going to be able to get a premium for it. And so what was going on was there was really two things going on. The owners at the time Had unrealistic expectations because of how well known the company was or what they could get for it. So when they did get audiences with the really big tech companies, they weren't asking for big multiples. They were asking for ridiculous multiples. And so I think they were, they were blowing themselves up.
AI assessment note: “worked with a gentleman named Ross Carroll before... he was the only investor.”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q yeah, I didn't get much of your backstory before that, but I mean, have you had a huge multimillion dollar financial personal windfall yet? And if not, how were you able to resist taking cash on this latest round of funding?
A Um, I've been, I haven't had a huge multi, I haven't had a huge one. Um, I, I've been, I've been successful and I'm certainly happy with, with where I sit in the world. Um, you know, I'm, I just turned 45 last weekend. Uh, let's say I took, um, let's say we sold everything, and I took seven million dollars off the table pre-tax, and after taxes, I got four million bucks left. I'm 45. I have to go back to work, right? Yeah. That's a lot of money, and I know people listening to this might be like, oh my god, if I had four million dollars, I'd be in the Bahamas or, you know, wherever. Um, the truth is, is I, I would, well, my financial security would be set.
AI assessment note: “I haven't had a huge multi, I haven't had a huge one.”
Answered produced feed
D 5 · C 4 · P 4 · Cm 4 4.30
Q Very cool. So she's basic, she's using you to power these things. Now you made the decision to charge this based on a SAS model versus a percentage of transaction volume model. Why?
A Um, you know, what I found in the presented transaction model, why, why I said is that people get really hung up on little things. They get hung up on, well, Hey, my mom ordered this, or my brother ordered this. I don't want to pay for a family referral. Or this was a chargeback or this was fraud. And they really start getting hung up on almost basis point levels of nuance. And that's why we just, our model is almost the exact same, but we didn't want it to both come off like a tax or excessive accounting. It's just like, Hey, if you're succeeding to this level, here's our price point. And the reason we did it was this. We also have a retail price. You can just come by a license, put it on your own servers. You can pay 20 grand a year for it. So, so we set a price at which if you don't want to be monitored by how much you're paying and you want to handle all your own it, you can go do that. And, and a lot of that was based on what we thought the product, the under underlying intellectual properties fundamentally worth. And then we tried to bring tears as opposed to really charging more for success. We thought that the high price points really what this does worth. And we try to make it more accessible to the lower price points.
AI assessment note: “people get really hung up on little things. They get hung up on, well”
Partly produced feed
D 3 · C 5 · P 4 · Cm 4 4.00
Q Find what, which is a very kind of a small part buried under the Yahoo kind of umbrella. You see an opportunity and go, if I just had this fricking tech and not all this bureaucratic bullshit, I could make this into something special. How do you negotiate the deal to spin it out?
A So technically find what was a competitor to Yahoo. No need to get to the details on that. They were their own publicly traded company. But what happened was I had, um, I had left me, but the division under their ownership, and I had done a good job of staying in touch with the general manager of the division. And I got a phone call one day from him that said, Hey, we need to spin this thing out. Do you know anyone who wanted to buy it would want to buy it? And I, and I think they were hoping that I would have contacts at a Google or something that would be interested. And I said, no, I'm interested. Uh, I was 30, 33, 34 at the time. It was a little bit of hubris on my part. And I just said, I'm interested. And, uh, I think they were taken aback.
AI assessment note: “I got a phone call one day from him that said, Hey, we need to spin this thing out.”
