Brett Goldstein
👤 PersonAppearances Over Time
Podcast Appearances
Okay. This is a very like half-baked idea, but it's, um, something I've been feeling lately is there are a lot of CRMs and marketing automation platforms that kind of rely on having extremely high quality data so that you can segment and do various marketing campaigns or all this various stuff. Um,
Okay. This is a very like half-baked idea, but it's, um, something I've been feeling lately is there are a lot of CRMs and marketing automation platforms that kind of rely on having extremely high quality data so that you can segment and do various marketing campaigns or all this various stuff. Um,
Okay. This is a very like half-baked idea, but it's, um, something I've been feeling lately is there are a lot of CRMs and marketing automation platforms that kind of rely on having extremely high quality data so that you can segment and do various marketing campaigns or all this various stuff. Um,
And I think, and obviously LLMs have kind of unlocked a new way to extract data from unstructured information like podcasts, YouTube videos, like all of this stuff. And so I used to work at Clearbit. Clearbit was a, it's like a data enrichment company. It's an API. You plug in a domain. It gives you a bunch of data points about the company. You plug in an email address.
And I think, and obviously LLMs have kind of unlocked a new way to extract data from unstructured information like podcasts, YouTube videos, like all of this stuff. And so I used to work at Clearbit. Clearbit was a, it's like a data enrichment company. It's an API. You plug in a domain. It gives you a bunch of data points about the company. You plug in an email address.
And I think, and obviously LLMs have kind of unlocked a new way to extract data from unstructured information like podcasts, YouTube videos, like all of this stuff. And so I used to work at Clearbit. Clearbit was a, it's like a data enrichment company. It's an API. You plug in a domain. It gives you a bunch of data points about the company. You plug in an email address.
It gives you a bunch of data points about a person. What was hard about Clearbit is there's all this work to get each of those data points perfect. And it took a really long time. And then at the end of the day, you only had those data points. You didn't have anything else. If you wanted something more unique and special, you couldn't get it. And so...
It gives you a bunch of data points about a person. What was hard about Clearbit is there's all this work to get each of those data points perfect. And it took a really long time. And then at the end of the day, you only had those data points. You didn't have anything else. If you wanted something more unique and special, you couldn't get it. And so...
It gives you a bunch of data points about a person. What was hard about Clearbit is there's all this work to get each of those data points perfect. And it took a really long time. And then at the end of the day, you only had those data points. You didn't have anything else. If you wanted something more unique and special, you couldn't get it. And so...
what I'm imagining is kind of like a new kind of clear bit, which is like a flexible knowledge graph API, where you basically put in a company name or something, and then you list the data points that you're looking for.
what I'm imagining is kind of like a new kind of clear bit, which is like a flexible knowledge graph API, where you basically put in a company name or something, and then you list the data points that you're looking for.
what I'm imagining is kind of like a new kind of clear bit, which is like a flexible knowledge graph API, where you basically put in a company name or something, and then you list the data points that you're looking for.
And then, you know, you will have indexed, you know, you'll have embedded like all podcasts, LinkedIn, you know, you can buy a total, you can buy a LinkedIn data dump if you want it. embed LinkedIn, you embed a bunch of tweets, you embed, uh, all these news sources and stuff like that. And then use that to kind of fill these data points on the fly for people.
And then, you know, you will have indexed, you know, you'll have embedded like all podcasts, LinkedIn, you know, you can buy a total, you can buy a LinkedIn data dump if you want it. embed LinkedIn, you embed a bunch of tweets, you embed, uh, all these news sources and stuff like that. And then use that to kind of fill these data points on the fly for people.
And then, you know, you will have indexed, you know, you'll have embedded like all podcasts, LinkedIn, you know, you can buy a total, you can buy a LinkedIn data dump if you want it. embed LinkedIn, you embed a bunch of tweets, you embed, uh, all these news sources and stuff like that. And then use that to kind of fill these data points on the fly for people.
So if you want it to like doing it, do a marketing automation push using this API for like, um, people in New York or people who said they were going to come to the tech crunch or the New York tech week, um, you know, how would you find that data through an API like this? Because it would have all that information kind of embedded automatically.
So if you want it to like doing it, do a marketing automation push using this API for like, um, people in New York or people who said they were going to come to the tech crunch or the New York tech week, um, you know, how would you find that data through an API like this? Because it would have all that information kind of embedded automatically.
So if you want it to like doing it, do a marketing automation push using this API for like, um, people in New York or people who said they were going to come to the tech crunch or the New York tech week, um, you know, how would you find that data through an API like this? Because it would have all that information kind of embedded automatically.
Yeah. I mean, so building is pretty straightforward because you're basically like putting everything in a data warehouse and embedding everything.
Yeah. I mean, so building is pretty straightforward because you're basically like putting everything in a data warehouse and embedding everything.