PerfectRec is a personalized product recommendation site. We ask you simple questions and use a combination of human experts and machine learning to recommend the perfect products for your unique needs.
It's harder than ever to find the right product online. Spammy search results and fake reviews make it nearly impossible to get an honest and smart recommendation. We're solving that problem by combining actual human subject-area experts with machine learning to help everyone — regardless of their expertise — find their perfect product, quickly.
Online shopping doesn't have to be a daunting time-suck, hours spent combing through impenetrable specs and questionable reviews. Getting good products at the right price point is possible. At PerfectRec, we help people to find the right stuff, faster — and make their lives better, easier and a little more perfect.
Our goal is to provide the perfect recommendation for you — not just another list of the "49 Options You Might Consider." In order to do that, we guide users through a series of questions about what they're looking for. After each answer, we share updated recommendations with you; the more questions you answer, the better our recs get.
When Google or Amazon recommends a product for you, they're using data gathered from your browsing history to guide you toward what other people like you tend to buy. But we're not interested in people like you — we're interested in you, specifically. And ultimately, we get more information about what you need by going straight to the source: you. With a few quick multiple-choice questions, we can make better recommendations, tailored to your individual needs.
We're not content to provide recommendations that are merely good enough for most people. We combine machine learning and human expertise to provide recommendations personalized for your unique needs.
We don't give you top 10 lists or long articles to read. Instead, we just ask you the right questions, show you the best options for you, and explain briefly how you should choose based on your needs.
Joe is an economist and experienced startup founder. Previously he was a software engineer at Microsoft and an economist at Google and Upwork. A lifelong tech enthusiast, he has a well-honed radar for detecting false claims and marketing nonsense. As the resident skeptic and “gadget guy” in his family, Joe has spent untold hours coaching family members on how to evaluate big purchases and think about major decisions. Now he's building PerfectRec to help everyone cut through the fake reviews and marketing jargon that have made online shopping so hard.
Read moreLindsey has a JD from the University of Michigan Law School. She has worked as legal counsel for a number of Indian tribes and as general counsel for Collage.com, where she focused on supplier contracts, employment law and employee benefits.
Josh is a professor in the department of Electrical Engineering and Computer Science at UC Berkeley, where he also earned his Ph.D. His primary research and teaching interests are in introductory computer science, generative art, the social implications of computing, data science, and machine learning.
Nick is a Recommender Systems expert with over a decade of experience and an international background. He holds a PhD in Computer Science from the University of Warwick and was the Chief Data Scientist for Dressipi, a UK-based personalization provider.
Co-founder, Marketing & Product Wally was an early employee at Collage.com, where he led the company's marketing efforts. Prior to that, he managed digital and direct mail for US House and Senate campaigns. He is a graduate of the University of Michigan.
Craig is an engineering leader with experience in startups and large organizations. He was an early employee at Collage.com, and worked at Thomson Reuters and Strata Decision Technology. He has a BSE in Computer Engineering from the University of Michigan.
Getting good products at the right price point is possible. With PerfectRec, we help people to find the right stuff, faster — and make their lives better, easier, and a little more perfect.
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