Deal Hunter is an AI system that combines realtor expertise, developer knowledge, and KYC principles to help solopreneurs analyze deals. Dr. Ning-Yong Chan built it to cut through multiple client types and align product, service, and client variables into one rule-based framework.
To your point, Joe, the picture here is the big, you know, the big explainer in that when you're doing it by yourself, you're relying on so many different things to guide your path. And what Deal Hunter was able to do by combining Dr. Ning-Yong Chan's ability to be a realtor and the rules and the knowledge base of a realtor, the rules and knowledge base of a developer, and the rules and knowledge base or combining those with the understanding and knowing KYC, know your client, we were able to punch through multiple client avatars to show that the system is pretty SRA, same rules apply, right? Product, service, client, and get them together. Right. Right? And, and, and so, uh, this is, this is a slide as a prime example of how being a solopreneur can, can, can create that. What we, what Deal Hunter does is, is it allows for the, uh, allows for there to be a, a system that otherwise you, you have so many variables that you need some sort of direction. We call it kind of like an algorithm. If you will. So tell us more about how, when you— when you— now, when you're analyzing deals from before, what, what does Deal Hunter do for you in that regard?
