Where did Copy.ai initially gain traction, which customer segments and use cases were quickly adopted, and what was the core growth loop?

What people don't know is that when GPT-3 launched, my co-founder Paul (Yacoubian) and I built about five MVPs in the course of a month: all kinds of different things, just trying to explore and experiment. 

What really got traction was the marketing use case, specifically the copywriting use case. At the time, OpenAI had a lot of limitations on what you could do with it, but they were open to these shorter form uses, and so we were able to really nail down the copywriting marketing use case.

We launched on Twitter. We had a viral tweet that helped us get a lot of our initial customers, and it's just been growing from there. 

We got a good domain name, and then Paul was really, really public about Copy.ai for the first six months to a year. We didn’t have much of a network, or prestige, and we weren't based in the Bay Area at the time because it was during COVID.

We took the one thing we were good at: being extremely transparent, pushing the boundaries of what's possible, and just really going at Twitter as hard as possible. 

Even today, a lot of people still find us through Twitter. But since then, word of mouth and all these other things have taken off. And then we've also been able to own a lot of search results too. And it's been really great since.