/Newsroom
Newsroom 2017-08-29T12:39:11+00:00

Affinity Newsroom

Are you thinking of covering Affinity in a story or article?

Well, thank you!

We know you’ve got deadlines to hit and are usually pressed for time, so we’ve tried to think of everything you might need to be able to make writing about Affinity easy.

We’re also happy to jump on a phone for a call as well. Just get in touch with us via the contact form below.

How does it work?

The best way to see how Affinity works is to just download it and try it out for yourself!

Nonetheless, here is a quick run-down on how it works.

How it works video

Founders

Affinity is founded by Australian based entrepreneurs Jay Stockwell and Cameron Slabosz with the support of both cornerstone investors as well as Advance Queensland.

Jay Stockwell
Jay Stockwell (Co-Founder)
Jay is a Behavioural Scientist with 15 years of experience growing tech start- ups. He designed and executed the marketing strategy for one of Australia’s largest Fintech companies, Nimble, that went on to issue over 1 million loans.

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Cameron Slabosz
Cameron Slabosz(Co-Founder)
Cameron is an innovation expert who as Head of Product led a team of data scientists who pioneered advanced real-time, automated credit risk assessment for Australia’s leading short term loan provider, Nimble.

High-Resolution Photo

Image Library

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Affinity Logos

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App Store Images

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App Images

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Founder photos

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Product Photos

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Frequently Asked Questions

Common questions we get asked about Affinity all in once place.

Affinity is an app to help you discover like-minded people and the stuff they love.

Affinity looks at your responses to a fun questionnaire and then using machine learning algorithms creates a like-mindedness Affinity Score between you and everyone else on the platform.

So it helps you:

  • Find new, like-minded people.
  • Understand people you already know better. You can understand how you are both similar and different.
  • Discover cool new stuff like music, books and other content.

In the future, we will be able to make recommendations for everything based on what people like you have done before.

After experiencing how hard it was to find other like-minded people when they moved cities, co-founders Jay Stockwell and Cameron Slabosz decided to do something about it.

They took lessons learned from building a real-time credit risk engine (that went on to process over a million loans) and created their Affinity Engine.

In finance, you have a credit score that is designed to predict how likely you are to repay your loan.

In Affinity, you have an Affinity Score that is designed to predict your level of like-mindedness.

All the studies say it. The richness of our lives is determined by the quality of the relationships we have. The problem is, every day we’re walking right by amazing people we would completely hit it off with without even knowing it.

It’s so much easier doing pretty much anything when you’re doing it with someone who is like-minded. Whether that’s travelling, studying, running, partying, inventing, working, singing or living with. It’s always better doing it with people on your wavelength.

Not only is it useful to find like-minded people, we can also use that data to help you discover all the cool stuff they are into.

For example, if you were going on a trip to New York, we could eventually tell you which neighbourhood to stay in, where to eat, what bars to go to, what shows you should see and even what time of year to go. All based on what like-minded people before you have done.

More technically speaking, it solves the cold start problem in recommender systems.

There are ways for people to meet other like-minded people out there, but it’s pretty much exclusively interest driven, like the case with Meetup or some of the friend finding apps like Badoo.

We’ve stepped back, looked at the research on which dimensions tend to predict like-mindedness and created a framework to organise those.

We’ve then taken lessons learned from our days predicting credit defaults in finance and applied machine learning to those dimensions. As a result, every dimension and every data point is automatically weighted by its predictive power of a connection happening.

This complexity is simplified for the end user with a simple Affinity Score.

In finance, you might have a credit score that is designed to predict how likely you are to repay your loan. In Affinity you have a predictive score called an Affinity Score that is designed to predict your level of like-mindedness.

Here’s the cool thing. You can then start not only predicting who is like-minded to you, but you can also start predicting other things based on how “people like you” have behaved before.

For example, if you just signed up for a brand new Netflix account, we could make great recommendations on what to watch before you’ve even pressed play. Simply by looking at what other like-minded people are watching.

More technically speaking, it solves the cold start problem in recommender systems.

There have been over 100 studies in sociology that have shown that the more like-minded you are, the more likely you are to bond. In academia, it’s called Homophily.

It’s what the “birds of a feather flock together” expression is getting at.

It’s also one of the best ways to discover cool new stuff.

The big vision is to be a discovery engine for almost anything. For example, to be able to answer questions like, where do people like me hang out, what music, movies and books are they into, or even what products are they buying.

It kind of shortcuts the process of cool hunting.

You see all the time opposites attracting. However, the saying should be “Opposites attract and then they attack”.

What the research overwhelmingly says, is that if you want enduring relationships, you want to be similar in as many ways as possible.

Media Releases

Links to our most recent media releases.

Research Links

Affinity is based on discoveries found within academic research. Useful resources for further reading are found below.

Contact Us

If you would like to chat with someone about Affinity, shoot us your details below and we’ll get back to you ASAP.

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