Tommy Dobczyk presents Deal Hunter, an AI system that combines realtor expertise from Dr. Ning-Yong Chan with developer knowledge and a Know-Your-Client framework. It helps solopreneurs evaluate deals by matching products, services, and client avatars against clear rules instead of guessing.
Chapters
To your point, 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 slide is 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?
