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You're now plugged in to the Delphi podcast. Everyone, and welcome to another episode of the Delphi podcast. I'm Josemari Macedo. I head up Delphi Labs. And today I'll be co hosting an episode I'm really excited about with Matti from from Legion, a project that we that we incubated at Labs and that just announced their their big round. And Philip from from Cookie Cookie three, who's been working together really closely with with Legion to build what they're calling attention capital markets. So first of all, congrats, Matty, on the on the round. Huge, huge win bringing in the big trad fi names
Cool. Yeah, thanks for having us, Jose. Maybe I'll dive in and yeah, happy to hand it off to Philip. On my side, super brief personal background, you know, tradfy background, data scientists, machine learning, started getting into crypto in 2016, 2017, ICO craze originally. I've been in full time in the industry last four years or so, and with that lens, of came into this space in parameter optimization, token design type of roles, and so kept seeing founders make dumb decisions about distributing their token. And so I started thinking about how is there a way, you know, if we can align incent
Phillip, go ahead, give us an intro to Cookie three as well. And also just your quick background.
Of course. Yeah, thank you, Joseph. And yeah, congrats, Matthew, as well. Big deal with the recent round. So I'm CEO and co founder of Cookie Free. In terms of my background, I'm coming from marketing and data side of things, both professionally and I was studying that both fields. So I was working mainly in marketing startups and Deloitte Digital, implementing different solutions into financial stratified systems, involved in crypto from the investment side of things since late twenty seventeen, since late twenty twenty one building Cookie Free. So we were coming up with Cookie Free at the ve
have
pretty battle tested ways of doing so. We have only off chain data, so we can do some referral links, we can do some UTM links, we can measure specifically in local systems, what kind of like conversions are happening
in terms Sorry, of what you mean by capital attribution exactly?
Yeah, so basically like in Web2, you can measure the attribution itself by using known solutions like Google Analytics, for example, or any other analytics provider that is actually measuring the flow and the conversions of your user base, and then retention churn rate, but it's only limited to your local system where you are actually integrating it in kind of like limited environment. Whereas in Web3, we have this like on chain data, on chain work where we have open ledgers of public blockchains, which are like plenty of them. So basically you cannot measure everything within your internal sy
Okay, interesting. Yeah, I'd love to dig into that more. So maybe to start with, what is attention in capital markets and kind of why did you guys come up with this term and what's the vision behind it?
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