Brett Goldstein

Yeah. I mean, so building is pretty straightforward because you're basically like putting everything in a data warehouse and embedding everything.

terms of the actual nitty-gritty ai stuff beyond that that's beyond my pay grade but yeah i think for charging it's pretty easy you can charge per enrichment so clearbit and others cost like up to 50 cents per per contact enrichment so you know you do the math 100 000 contact enrichments is 50 000 which can be pretty lucrative.

terms of the actual nitty-gritty ai stuff beyond that that's beyond my pay grade but yeah i think for charging it's pretty easy you can charge per enrichment so clearbit and others cost like up to 50 cents per per contact enrichment so you know you do the math 100 000 contact enrichments is 50 000 which can be pretty lucrative.

terms of the actual nitty-gritty ai stuff beyond that that's beyond my pay grade but yeah i think for charging it's pretty easy you can charge per enrichment so clearbit and others cost like up to 50 cents per per contact enrichment so you know you do the math 100 000 contact enrichments is 50 000 which can be pretty lucrative.

But I think the key with this would be to charge a little less than Zoom Info or another player and then probably have just more flexibility and interesting data and stuff to provide.

But I think the key with this would be to charge a little less than Zoom Info or another player and then probably have just more flexibility and interesting data and stuff to provide.

But I think the key with this would be to charge a little less than Zoom Info or another player and then probably have just more flexibility and interesting data and stuff to provide.

It could be either. I would probably want to do it bootstrapped because... Data is a really hard, hard space. Like, you know, zoom in just data. If you're selling data, it's just a tough business because it's always going to be about like, is this data better than other data? And you can get some of this stuff off the ground pretty easily.

It could be either. I would probably want to do it bootstrapped because... Data is a really hard, hard space. Like, you know, zoom in just data. If you're selling data, it's just a tough business because it's always going to be about like, is this data better than other data? And you can get some of this stuff off the ground pretty easily.

It could be either. I would probably want to do it bootstrapped because... Data is a really hard, hard space. Like, you know, zoom in just data. If you're selling data, it's just a tough business because it's always going to be about like, is this data better than other data? And you can get some of this stuff off the ground pretty easily.

I have friends who run, there are a handful of these startups that have popped up that do some sort of data enrichment stuff. in the post AI world and they have gotten to, you know, 20, 30 K MRR pretty quickly just from basically selling CSVs. That's insane. Yeah. It depends on what's in the CSV. It's good stuff.

I have friends who run, there are a handful of these startups that have popped up that do some sort of data enrichment stuff. in the post AI world and they have gotten to, you know, 20, 30 K MRR pretty quickly just from basically selling CSVs. That's insane. Yeah. It depends on what's in the CSV. It's good stuff.

I have friends who run, there are a handful of these startups that have popped up that do some sort of data enrichment stuff. in the post AI world and they have gotten to, you know, 20, 30 K MRR pretty quickly just from basically selling CSVs. That's insane. Yeah. It depends on what's in the CSV. It's good stuff.

Yeah. Yeah. So apparently when Clearbit added LLMs to their whole mix, they had data points that went from being like 30% accurate to like 95% accurate. So pretty big, pretty obvious opportunity. And I think the other thing is as more people are building apps and that need data underlying it.

Yeah. Yeah. So apparently when Clearbit added LLMs to their whole mix, they had data points that went from being like 30% accurate to like 95% accurate. So pretty big, pretty obvious opportunity. And I think the other thing is as more people are building apps and that need data underlying it.

Yeah. Yeah. So apparently when Clearbit added LLMs to their whole mix, they had data points that went from being like 30% accurate to like 95% accurate. So pretty big, pretty obvious opportunity. And I think the other thing is as more people are building apps and that need data underlying it.

Like for example, like if you're building a, if we're building this app, we talked about the beginning, the conference app, wouldn't it be nice if we had a bio for everyone, if we had their social profiles, if we had other dynamic information about them in this app, you wouldn't be able to do that. Um, there's no affordable API for that right now.

Like for example, like if you're building a, if we're building this app, we talked about the beginning, the conference app, wouldn't it be nice if we had a bio for everyone, if we had their social profiles, if we had other dynamic information about them in this app, you wouldn't be able to do that. Um, there's no affordable API for that right now.

Like for example, like if you're building a, if we're building this app, we talked about the beginning, the conference app, wouldn't it be nice if we had a bio for everyone, if we had their social profiles, if we had other dynamic information about them in this app, you wouldn't be able to do that. Um, there's no affordable API for that right now.

Well, I think what's interesting is the data companies are not incentivized to go after a lot of niches. So if you wanted to start a Sri Lankan real estate CRM or market automation platform, and you needed to have a lot of information about the building location and the number of rooms or all that stuff... you would need to build that data set yourself or hope that users input it.