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.
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Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Interesting. And, and help me understand how you negotiated that valuation. Did it feel fair at the time?
A Yeah, they were really nice. You know, this was like the first big round that we had ever done and I'm not a good fundraiser. So we asked them what's fair and what's market. And they were like, this is, this looks good. We were like, great, let's do it. So we didn't go through negotiations or I, I'm not, I wasn't a good founder where I was like, no, we should be a hundred million. But I feel we did the right thing because there's a lot of, you know, CEOs that I listened to that raised that really high valuations, a 102 103 104 105 hundred million in early, early days. And it's really hard now, right, with the markets where they are. It's really hard to live up to those valuations. So, um, we were lucky that we got a fair number. It's still high from where we were and where we are, but I feel we can catch up to it and at least get to the next stage.
AI assessment note: “we asked them what's fair and what's market... So we didn't go through negotiations”
Answered produced feed
D 5 · C 4 · P 4 · Cm 4 4.30
Q Okay. But you just told me you did 250 K of revenue in 20, 21. So when did the 1.4 or five million revenue come in?
A Yeah. So that was, that was in 20, 21. Um, that was November of 20, 21, where I didn't pay this 1.4 or five. We're not counting his annual revenue. Cause that was just like to service the community platform, which we no longer service, but that was like the aha moment for us that said, Hey, there's something here. We can look at the data that we have and come to some really strong aha moments. Can we do this for other companies? And that's kind of what led to our current platform and what we are up to now, basically. I see. That's, I just want to kind of plug that story. So, uh, that's kind of how we started.
AI assessment note: “that was in 20, 21. Um, that was November of 20, 21”
Answered produced feed
D 5 · C 4 · P 4 · Cm 4 4.30
Q little bit. I want to. Slow down a little bit. I want to break down some of this. So you launched R to D to join R to D to.com. It has 288 users right now in the Chrome store and 13 reviews. Did you do something specific to get those 13 reviews so quickly? Did you ask? And if so, what copy did you use to get the reviews?
A We did. We asked some of our early users. We were like, hey, if you're having value, if you're getting value, it's actually 500 users, Nathan. Chrome stored always takes more time to update. So I can see the numbers here on our user base. It's always like a week late. Uh, that's something that we have noticed and others have too. Um, the reviews were early, early users who were using it. Uh, I wrote the first review cause I was like, Hey, I really get value out of this. And, you know, I just want to get the ball rolling, but we asked him for early users to say, can you please give us feedback? And, and, uh, if you'd like it, then post a review there. Yeah.
AI assessment note: “We did. We asked some of our early users.”
Answered produced feed
D 5 · C 4 · P 4 · Cm 3 4.15
Q That's great. Okay. I love this. Um, how many, so I guess, 70 folks, 70 paying customers today, you're doing 185,000 dollars a month in revenue. That means the average customer is paying something like two, 2503 grand a month for the tool. What are ways that you upsell? Do you upsell on number of customers, number of seats, feature based upselling? How do you do it?
A Yeah. So we are not great at this thing. And so I'm not going to like, Do a good job at this. Like for, for all our products, we've been really bad at an upsell motion. We basically, the customers who have bought more have been like, have worked completely underpaying us. And we, we, we haven't nailed on pricing just being very sincere here. We, we basically have always been like all you can kind of pricing. So it's like, Hey, let's get all your users, unlimited users. Now we are moving into a consumption based package. So we've come up with this terminology called actions when every company that we work with gets 5000 actions with us. And when they will use those actions, they will have an upsell motion, but it's too early for us. So far we have been like pricing super simple. It's like you get unlimited users, you get everything, and we haven't done good pricing and packaging. Maybe something that I should Learn better. Watch all your other podcasts and do something good.
AI assessment note: “Now we are moving into a consumption based package. So we've come up with this”
