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 This sounds like something a frustrated realtor who took some Python classes in college would build. Is that the case?
A Not quite. No. Um, so I, I actually don't have a formal background in real estate or anything like that. It was, uh, more of the consumer pain point that drove me to, to start the business. I was moving from Purdue university up to Chicago, about a two to three hour drive, not terribly far, but it was that real estate search process back in, uh, that really opened my eyes to how inefficient the real estate search process was. And, uh, That, that May, 20 11 was actually when FaceTime came out and was just a light bulb moment of putting different things together about what could have been done to streamline that search process for me. And so, yeah, it was a perfect storm of different circumstances coming together and, uh, um, led to an opportunity that here we are 10 years later, uh, working on the B to B SaaS side of it instead of the consumer side of it and, uh, hopefully making a big difference to the industry.
AI assessment note: “Not quite. No. Um, so I, I actually don't have a formal background”
Answered produced feed
D 5 · C 5 · P 5 · Cm 4 4.85
Q Okay. And then did you get your first customers in 2014?
A You could call them that. Yeah. We had our first people on the platform using it. And, um, we, we, when we first launched, we were actually focused on the residential for sale side of the industry. So we were partnering with Caldwell Banker, Keller Williams, Century 21, and, um, brokerages like that working on the for sale side of the industry. But We realized very quickly that was not a B to B go to market strategy. Brokerages did not want to pay for technology for their agents. And so we had to sell agent by agent by agent. And it just was not an easy or feasible go to market strategy for a startup. And so, uh, we got our first multifamily client, uh, in 2015. And then in 2016, we really made the decision to go all in multifamily, put the residential for sale side behind us and Go full steam ahead and here we are half a million units later.
AI assessment note: “You could call them that. Yeah. We had our first people on the platform using”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q These are big. These are big, big. Okay. Interesting. Um, okay. Very cool. Take us back to day one. Uh, so you mentioned your problem in 20 11 when the move happened. Did you start coding and building this thing immediately? When did you guys write the first line of code?
A Yeah, definitely didn't. Uh, so I actually, when I was moving to Chicago, I was starting my career as a consultant at Accenture doing management consulting, and I was on the road for three years straight doing consulting. And so I kind of sat on the idea for a minute and couldn't get out of my mind and couldn't get out of my mind because as a consultant on the road every week for three years straight, I saw that pain point iterated time and time again of not physically being able to be at the property to tour it or physically being there, but cramming it all into a weekend and exhausting yourself over a weekend trying to tour properties. And so it was a pain point, uh, I saw reiterated time and time again at Accenture. And so finally, I was at a work event, and one of my then colleagues, my now co-founder, Ani, him and I were talking about what's next, what's LifeActor Consulting look like, and he was a part of a startup at Northwestern when he was in college and wanted to do something entrepreneurial, so I pulled the idea out of my back pocket, pitched him on it, and the very next weekend, we were in my apartment, whiteboarding, laying the foundation.
AI assessment note: “Yeah, definitely didn't. Uh, so I actually, when I was moving to Chicago”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Oh, you did price it. Interesting. That'd be cool. All right, cool. So, so first customers, you felt were going to come from the Coldwell bank of the world. You pivoted in 2015 and said, we're just going to direct to multifamily. How did you land that first multifamily customer?
A Thankfully it was a personal network, uh, early on when we were seeking that product market fit, um, it was an annoying amount of networking events and meetings and things like that. But, um, it was, uh, uh, there was a lot of attention on the prop tech space in Chicago at that point when we launched our company in Chicago. Um, and, uh, there was an accelerator that was starting in the prop tech space and there was a multifamily The owner who was interested in partnering from an innovation standpoint. And so we sat down with them, launched in three, uh, communities early on to just prove up the value proposition. And I always say product market fits smacked us in the face. The second we launched into those multi-family communities, the usage went up into the right, the ROI, the use cases, value proposition, everything was Abundantly more clear than anything we had captured working with.
AI assessment note: “Thankfully it was a personal network, uh, early on when we were seeking”
