The Exchanges

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 →

Eugene Wu no published score: no usable exchanges on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

clear all ✕

2exchanges match

0on raw tape

0redirected or not addressed

Eugene Wu ▶ 10:19 · 890 SaaS: Self Serve Infographics Tool Hits $250k MRR · Dec 31, 2017

Answered produced feed D 5 · C 5 · P 5 · Cm 5 5.00

Q So So, uh, so what did you try early on? What was, what was not working from an acquisition perspective?

A So early on, we thought we would go like enterprise, uh, just cause you know, Hey, you know, we want to validate their product. People have to pay us a lot of money, uh, that before we build it, you know, we were all into the lean startup thing. Uh, and, and we had some, what I call like false starts. So we managed to get a few customers that when I met a few, I met like less than five who were paying us, uh, Between like 1500 and like 5000 dollars a month to use our tool, which was a lot of money for us. And then we thought, oh, we can do this model. And then nine months later, that number pretty much stayed the same. So we like acquired nobody.

AI assessment note: “early on, we thought we would go like enterprise”

Eugene Wu ▶ 9:24 · 890 SaaS: Self Serve Infographics Tool Hits $250k MRR · Dec 31, 2017

Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q know, Can you be, can you be more transparent there just so other people are comfortable realizing that it's okay if you go through shit like this? I mean, look, I had this image with my co-founders. They just didn't have the same risk profile. They were getting married. Their wives were about to have a baby and the wives were like, get, you gotta go get a real job.

A Uh, I think it was, yeah, it was along the same, uh, same lines. Like, his risk profile was a bit different. Uh, he couldn't sustain, so we weren't paying ourselves that much money. In fact, I didn't think, I don't remember now, like, we probably weren't paying ourselves, so, so there was the, like, he could not withstand, like, it wasn't practical for him to go to, you know, long periods of time without pay, and it was getting really stressful, like, we weren't making as much money as we thought we would be, Uh, and, and I think back, back then he was in charge. I was in charge of the product. He was in charge of the sales slash marketing. And so the, the user acquisition wasn't working then, you know, initially.

AI assessment note: “his risk profile was a bit different. Uh, he couldn't sustain”

The Exchanges

Turn any episode into a week of clips.