Brett Goldstein

speaker

141 appearances 5 recordings 4 series first heard Jul 2024 last heard 9 Jun

Brett Goldstein’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 3 in all, peaking in Jun 2026 with 2.

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The Startup Ideas Podcast · The most profitable SaaS ideas I’ve heard in a long time · 1 Jul 2024 podcast

And so the way you have to find them is that you get text messages or something basically with hints about where they may be. Right. Specifically where. But maybe there's like some probably not much information around there, like what they look like or anything like that. But where is the key point?

So one night you'll get a text that's like, hey, she is most likely going to be at a cocktail bar in Soho with, you know, red trim on the chairs or something. And then when you're deciding where to go with your friends that night, you're like, okay, let's just see if this cocktail bar has anything interesting. You go to the cocktail bar and what's your feeling?

What is your heart telling you when you get to that cocktail bar? Maybe you're like, I don't know if I believe this thing, but part of you wants to believe it. Part of you wants to believe that life partner is there. And you're going to be very open-hearted when you talk to these people at this bar. You may go up to people. You may stay there a little longer. You may hang out and all that stuff.

And I think what's interesting about this, that idea, this idea like, okay, if you're there looking for a life partner or think that somebody could be your life partner there, you're going to treat everybody a lot differently. And it actually doesn't matter if your life partner is there or not.

Because you may actually find somebody you really connect with because you are much more receptive and open and stuff. And so the secret, this may be more of like a social experiment than an actual business idea, but the secret is the council doesn't have to exist. right? The council doesn't have to be real. The life partner doesn't have to exist.

The most important thing is that you need to send your users, these people to the same place to find each other. Right? So like, It'd be even better if you were able to, maybe the more capitalist version of this is like, you find a bunch of characteristics of all these people who take this survey, you know, relative attractiveness, education, interest, all that stuff.

And then every night over on the weekends, you send them people with similar interests to the same bar to just connect and find each other. So what do you think? Social experiment or actual product idea?

I think another kind of interesting framework about this is that like, The reason dating feels icky to people is the same reason why the app that helps people hang out when they're bored doesn't work. It's because when it's too on the nose, it's too direct. I'm single. I'm on a dating app to date. There's some negative selection bias and weird feelings.

versus when you're one degree removed and you're like, oh, I'm just going to this party or I'm just going to this conference event, but I actually really want this lower level human thing. It eliminates the negative selection bias. It allows you to have higher status, more desirable people in the mix and all that stuff.

The social experiment part's easy. It's like you throw a type form on a website, you blast it out to as many people as you can. Dating related things are usually pretty viral and people are pretty excited about them. I have a friend who runs a dating, like a matchmaking company, and he created this like landing page that shows, like you basically say what your preferences are in somebody.

It's like religion.

Yeah. What's funny is that was actually the second thing. He had already released this thing and it got all this press, this website you can go to to type those things in. And then they just jumped on the 6.5, whatever that train, that meme train. So it could be as simple as that.

Sweet. All right. Ready to go into enterprise land.

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.

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.

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.

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

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