Crunchbase

Astra model with the licensed financial data, but with Morgan Stanley and Evercore's design partners using data sets from Dallupa.

Plus PitchBook, LSEG News and CrunchBase.

OpenAI hosts and indexes that data itself so the thing can cite a specific table on a specific page instead of telling you a beautiful story.

And read the boring part because the boring part is the actual product in this case.

The new version of this product is still a bundle of data connectors and skills built for financial professionals, but it's been updated for OpenAI's new product lineup.

The product now lives within ChatGPT Work and includes built-in access to premium data feeds, including Daloopa, PitchBook, LSEG News, and Crunchbase.

This means that users don't need to figure out MCP connections and can get started right away with minimal configuration.

The product is also designed for ChatGPT's enterprise security and governance controls to allow for organizational level control of data access.

Um, but I mean, there, there's Harmonic, there's, uh, Dealroom, there's PitchBook.

You talked about Crunchbase, and I would say they are all moving in similar directions.

And I mean, they are like partially largely funded as well.

So w- how would you, or what, what would you say, how can...

But in reality, the real trick is, is just we go niche and we go early.

You can, you can look at this multiple different ways.

Like, for example, I cannot speak for obviously their management, but like I would be very surprised, let's put it like this, if Dealroom, PitchBook, Crunchbase, and Harmonic decided that their next big kind of battle to win was early stage.

And the primary reason for that is that there's not that much money in early stage.

And so they, through their own network, right? Not only network of founders, but also network of VC partners, right? And then we also have 5,000 members that are active in the, well, not all 5,000 members are active in VC, right? But a lot of them come from startup worlds or have access to deal flow that they may share with us and say, we think this is something that would be great for Gangel's, right? And then there's also a bit of mapping that happens that I think every VC does, right? My partners know exactly what deals they want to go after.

And they're constantly reading PitchBook and CrunchBase and looking at the deals and mapping out certain industries to find sort of those companies that they think really are disrupting the industry.

Great.

So, I mean, so it sounds like it's a two-pronged strategy, not only being deliberate to generate great returns for your members, but at the same time, making good on the mission.

And we can get into this and we might need all night a glass of wine to really unpack this one.

But the really short way of describing it is how consistent is your brand being described across every major platform that it's featured in? And for us, the first four that we'll look at are Crunchbase, LinkedIn, Google Knowledge Base, and your website.

And how your brand is literally described in a few sentences.

And, you know, certain websites you can, like, tag with your SaaS company or, you know.