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 4 · P 4 · Cm 4 4.30
Q Oh, so just two. Okay. Got it. Got it. That's always a tough conversation, right? How did you guys decide to come together to just say fifty-fifty or did you make it more events somehow?
A Yeah. Yeah. So the way that works is basically it's like whoever goes full-time, right? So it was fifty-fifty at the start. Um, you know, we're just trying to make this work. Uh, when we started from the, uh, the ground up for version two, that's when, you know, we had the conversation like, Hey, how do we want to do this? Um, you know, Derek is going to continue part-time, but if I'm doing this full-time, we're just going to, you know, split like 75, 25. But, uh, right now I think it was like, um, seventy-thirty, that's kind of just how we start. But like now we have other people on I guess our cap table and stuff.
AI assessment note: “So it was fifty-fifty at the start... whoever goes full-time”
Answered produced feed
D 4 · C 4 · P 4 · Cm 3 3.85
Q love, I love that you're building an open. I love that you're bootstrapped. I love the space you're in. My good friend Jeff had built the A tool called Ambassador, which was also sort of in this same sort of referral marketing space. So tell us when he exited that now, so I'm not as allied with that tool anymore. So tell us more about Grosser. What are you building?
A Yeah. Yeah. First and foremost, Nathan, just want to say I've been a big fan, uh, listened to your podcast over the years. And, uh, it's definitely, you know, one of those that, uh, kept me going through like the hard times of building this fast. So just like awesome work. Um, but yeah, getting into Grosser, uh, we really built it back in like, you know, 2017. It kind of, Dates back further. It's just like, there's a lot of email marketing software. There's like other, uh, just tools that you expect to, to have just out of the box. So when referral mark, when it came to like, uh, having some type of referral marketing software set, you could have your own referral program. We didn't really see like a tool that was like, uh, you know, that was, that was perfect for like tech service. We saw like enterprise really pricey. I think ambassador kind of falls into that. Um, and then we have a lot of like viral tools that, Aren't really set up to leave, like, uh, be built as part of your stack. So growth surf kind of comes in, becomes the referral software, just kind of plugs and play into your product, uh, for tech startups.
AI assessment note: “growth surf kind of comes in, becomes the referral software, just kind of plugs”
Answered produced feed
D 4 · C 3 · P 3 · Cm 3 3.30
Q Um, okay. Very cool. So understand it was a toil. You had to pivot. You, you turn things around that your first call at 10, 20 grand a month in revenue. How are you growing today? Walk us through some of the growth tactics. By the way, you guys do incredible. I'm hoping you touch on content because you guys do an incredible job with content. Cool.
A Yeah. So we start to, uh, build in public. That was, uh, something we started doing like a couple months ago. Uh, we just brought out a new CMO who's a pretty bad-ass and what he does, his name is Chris, uh, You can see them on Twitter as well. Um, but we just, you know, picked them up this month. Uh, we're hiring for CSM. We're tackling a lot of the to do's on our list that just made sense. Like now that we have some, you know, capital, um, we got a burn rate. We're very intimate with like, you know, the revenue coming in expenses out. And so now we have like a game plan and how much are you burning per month right now? Uh, it's going to be about the same. So like we have cash reserves and then 2016.
AI assessment note: “So we start to, uh, build in public.”
Not addressed produced feed
D 2 · C 3 · P 2 · Cm 2 2.30
Q It makes a lot of sense. It makes a lot of sense. Okay. So, uh, how did you get your first customers? Uh, first, first 10, you remember?
A Yeah. Yeah. We toiled so hard. We built such a crappy version and just like we're pulling our hair out. Um, we were just so excited to have this and like really wanted to persist and making something, but, um, it really did take a like long time, just like You know, looking into ourselves, understanding, like what customers were saying or not customers, I guess, users, what prospective customers were saying, kind of like how our product, um, just didn't like, you know, meet like their expectations or like solve their problems. It was, um, it was a real challenge. So we really, again, just had to rebuild from the ground up, uh, spend a whole year just staying core to like what the principle was, which is, Hey, we have a customer, uh, profile. We need to help them, you know, make referrals. How do we make that happen? We need to reflect our product on that.
AI assessment note: “We toiled so hard. We built such a crappy version”
