A Product Market Fit Show | Startup Podcast for Founders
00:10:10 · Pablo Srugo, Mark Hughes
[00:10:10] S1: What was the first idea of what you decided you wanted to build together? [00:10:13] S0: There was lots of them. I think the first one was kinda like a gonna be a Gong competitor. Again, meeting bots. But, yeah, there are so many that was quite a commoditized software. So we built the first version of that, and then we send the transcript to ChatGPT, it would summarize the call. And even back then, was hilarious that, like, people were amazed by this because this is before the likes of Gong and Chorus dot ai had even implemented any AI into their product. And so people were like, oh, this is amazing. It's like I can get a summarized version of my my sales goal, and we built that on top of I remember it was another kind of YC company. That was kind of the first version, and then that brought us into the kind of role play training when the kind of speech to text has got slightly better. It's funny.
00:10:53 · Pablo Srugo, Mark Hughes
[00:10:53] S1: The the, you know, the thing you're mentioning about sending it to ChadGPT and that kind of being, like, v one of some product, that's why GPT rappers got such a bad name because that was the original GPT rapper. You just do something, like, incredibly simple. You know? Take it to Chad GPT, bring it back, and, like, this is a product. And then, obviously, a lot of those got killed by either an incumbent like a Gong or Chad GPT. And then the thing became, oh, you don't wanna be a rapper. And still people are saying, like, you don't wanna and the reality is, if you think about every vertical AI app, for the most part, like, they are rappers. They are they are rappers. They're just really good, and they embed the workflow and all this stuff. But it's funny to have that in your origin story just because the the time aligns so well. [00:11:32] S0: Yep. We knew, like, early on when we started using ChatGP for the first time, we're like, this is gonna be massive. Like, there's gonna be so many opportunities on the application layer. So, yeah, just kind of started from there. But it's funny, like, if you can remember, January 2023 was a terrible time to raise money. So, like, we were like, oh, Mark and Patrick, both second time founders, like, somewhat successful. Like, this will this will be easy enough. Let's go raise some venture money. And [00:11:56] S1: It should have been the best time to raise money, but, yeah, we had the macro winter of twenty two, and the AI stuff was just kinda starting off.
00:11:56 · Pablo Srugo, Mark Hughes
[00:11:56] S1: It should have been the best time to raise money, but, yeah, we had the macro winter of twenty two, and the AI stuff was just kinda starting off. [00:12:03] S0: Yeah. So, yeah, didn't have success there, so we were fortunate that we got like, we shook the bookers and got some, like, Irish angels who invested enough to, like, pay ourselves a bit of a salary that I could cover my mortgage and go full time with the business. So even, like, we have, like, a rejection wall of all the VC rejections we have in our office in San Francisco now and, like, a quote that says, chips on shoulders puts chips in pockets. But, yeah, it's been a motivation for us because although, yeah, we've since raised venture rounds and got through Y Combinator, the start was a bit tougher to get off [00:12:34] S1: the ground. Oh, yeah. You've raised, what, over $30,000,000 so far? Yeah. So things have changed. Tell me how you get from what you were first doing, which is kind of this Gong like you know, AI version of Gong, let's say, to the first version of a product, which sounds like it was the the Hyperbound, right, the AI role playing. Was Hyperbound around? Was it like a fast follow, or was it just like you were coming up at same time or different times? [00:12:54] S0: To be honest, I think we might have been actually before Hyperbound because then we saw the hype when they they went somewhat viral on LinkedIn and we're like [00:13:01] S1: We were doing this. Yeah.
00:13:03 · Mark Hughes
[00:13:03] S0: We were doing this. I think I think honestly it was it was a really good moment for us though because I realized that we had to move our lives to San Francisco to build a very big business and you could see like my background now. I've got Koi Terra in the background, but that really became a forcing function. So we started with the Gong competitor, as we said, that was getting commoditized. We knew that they would just bring these AI features on. But then when we had conversations because if you look at startups, obviously, they're a connected graph. So, like, looking backwards, it all makes sense. At the time, maybe not. But then it was like, we really we built, like, these kind of coaching and feedback from the the the recorded calls. And people were like, I really value this, like, coaching feedback. That's actually very interesting. Like, the scorecards in Gong are really crap, and I have no way to actually improve. So then we built the role play tool, and we had the coaching and feedback and be like, oh, this is really strong, but the sales leaders or startup sales in particular didn't really care as much. Went into support, that's what we knew better. We'd, like, scaled support orgs using it. Again, really like the coaching feedback enough to say, like, like, if I actually was to say one thing, like, the flywheel we built from the get go was this the scoring the scorecard and the scoring system, the the evaluations that we built, because then it was like, oh, I love this for training, but I'd love this in our production environment as well because QA is still super manual right now, and we don't have visibility into our conversations. So we use the same scoring system, basically, somewhat evolved all the way throughout. And, like, to answer your question about the HyperMen piece, we had as as Patrick had built all this stuff himself, he wasn't using the likes of Vappy, for example, to build the the role play tool. We went out to San Francisco. There's actually, like, an interesting tweet I can try to service it, but of me demoing Solid Road to people at, like, this YC event because Patrick had done YC before, they're like, oh my god. That's so cool. Super early days, really long latency, etcetera.
00:14:44 · Mark Hughes
And then we came back a few weeks, and then, like, Hyperbound launches, and they had built on top of Dailyco and Vappy and all these tools that we didn't even know existed when we were out in San Francisco a few weeks before, or maybe they weren't even around yet. Because I think we were quite early customer to VAPI in the end. We were like, okay. Well, that's so much better than what we built. We need to move on to these third party softwares. But then also, like, everything's happened in San Francisco. Like, that could have been us having this viral moment had we been in San Francisco, but we're in Dublin in the middle of nowhere where so that really became like, okay, we need to get over San Francisco. So, like, we would even with very little money be, like, doing these, like, low budget trips to SF. Patrick moved over to San Francisco, like, first because, like, all the kind of tech stuff, the labs being there, etcetera. Moved over on, like, I don't know how he survived. Now living here for six months, I don't know how he survived on, like, the salary he was, It's expensive, man. Oh, like, on a, like, a low Irish salary in San Francisco, so I'll be forever indebted and grateful for him for the months that he put in there. So he would have moved over September 2024 and then we got accepted into YC in November 24 and then did the YC winter twenty five, so January. There was four of us. We all moved over then. Two more guys joined. So this is I think this is
00:15:51 · Pablo Srugo
[00:15:51] S1: a really interesting thread to to pull on a little bit. Obviously, you're you came from, like, a secondary city, and you go to Baria where, like, you know, almost all this stuff is happening. That story about Vappi specifically, Jordan was was on the show, so I know kind of how that happened. And, you know, it but it's very interesting how, you know, finding out about something a couple weeks before can have such a big impact. But you have the before and after. Like, you weren't there. You were building, doing stuff, and now you are there. Maybe speak a little bit you know, imagine you're a found you're talking to you're talking to yourself, you know, before you move. You're talking to a founder who's, like, thinking, should I, shouldn't I? How important is it now that you've done it? Right? How much benefit did you really get from it?