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 5 · Cm 4 4.85
Q Machik, I want to, I want to hone in here on a pattern I see frequently. Is clear code kind of like an agency that you were doing one-off projects for? And then you said, wow, we should build this thing called Pixel Pro that a lot of people can use. A lot of our agency customers can use.
A Uh, so it's kind of that, but I, I think our story is a bit different because we tend to have, like, larger, long-term clients. Uh, so typically, like, the clear code client is 18 months or more on average. Uh, so these are, like, relatively large and complex projects that we do. However, what we find out that with, uh, services business, it's very hard to scale because you have to, like, fight for talent and you cannot, like, You, you would like to do more projects, but you cannot find enough like people without sacrificing the quality. So we figured out, uh, after several years that we need to invest into the, into the product. And because we were in the marketing technology space, plus I was the, uh, one of the first contributors to the open source Pwik, uh, now called Matomo. Uh, it was the natural step for us. Let's do the enterprise version of, of that.
AI assessment note: “so it's kind of that, but I, I think our story is a bit different”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Interesting. And which agency can you name the agency that that is most effective for you brings you the most traffic?
A So actually the, the largest partners, because this partner program, I think we talked about this, uh, when we, when we spoke last time, we were just starting that. So the largest partners haven't brought yet big deals, but there are some in the pipeline. So the, the partners that worked out really well were, uh, smaller, uh, smaller partners. And we have agency, for example, in Denmark called Abstract, or we have a partner in, um, In Neverland, that's called Candid Group. So, so not a big name, uh, but what we saw is this smaller partners are much more engaged and, uh, and they bring actual deals. We have another partner in Spain that is specializing in government deals, which is one of our biggest sectors. And, uh, there are like, you know, in the last month, I think there are three new topics with them that we are discussing.
AI assessment note: “we have agency, for example, in Denmark called Abstract, or we have a partner”
Answered produced feed
D 5 · C 4 · P 4 · Cm 4 4.30
Q So now last time you came on, you told me you were doing about 300,000 dollars per month, which would be about 3.6 million annually. Now it sounds like you're right around for kind of maybe four million annually. So, um, that's, you know, that's okay growth, but certainly not growth that you'd expect from someone that's raised. You raised two million dollars back then. Why hasn't growth been faster?
A So, uh, this, uh, last round, uh, was mainly dedicated, uh, was partly dedicated to also buy out, uh, one of our, uh, former, uh, shareholders and founders that was, uh, that is no longer in the company. Um, so we self-finance the growth, uh, till today, uh, pretty much like also two million over like, uh, six years isn't, isn't that much, uh, of the, the capital rise. And we actually didn't, uh, do that much, but our portfolio of the clients has, has changed. Plus we, uh, when we started, uh, the company, we started as a, a subscription service based also on the open source product P-Wig, which is now called Matomo. And in the meantime, we developed a new product, uh, which is a totally proprietary platform developed from scratch on the newer technology. And we were over this last two years, we were also, uh, working on migrating these customers from the legacy product to the new product. So, uh, when you look at the last two years, we were, uh, maybe having like 10% or so revenue from the, uh, from the new product. Um, and the rest was legacy two years ago. And now the product is much more mature and we have, uh, over two thirds of the customers and revenue Uh, going from the new product. And that's a, a quite big achievement because if you look at the growth of the monthly recurring revenue from the new product, it, it's actually like, you know, uh, it went from like 10 K to…
AI assessment note: “we were also, uh, working on migrating these customers from the legacy product”
