BETA TESTING: COLLEGE FOOTBALL

The future of
sports betting is here.

Stop paying for others' picks. Build your own models.
Validate your own instincts. Give yourself an edge.

Available now! Become a beta tester by downloading Rithmm on the Apple App Store or Google Play.

Stars Review

You think passing teams have the edge, especially at home. Are you right?

We had our betting hunches, theories, gut instincts - you name it. And we got really sick of paying for picks, systems, and simulators others put out there with no way of validating our thoughts. So we decided to do something about it.

Enter, Rithmm.
Our way of putting simplified sports analytics in the hands of everyday sports bettors.

How does it work?

1

You tell us what you think is important.

Is it running? Passing? Offense, defense? Put weight behind the factors you think are most impactful to game outcomes.

2

Your models tell you what to bet.

We combine your thoughts with our proprietary algorithm to create personalized betting models that generate predictions and alert you of recommended best bets, ranked in order.

3

Track your bets and model success.

Keep track of your bets and learn from your models. They'll even track how well they're predicting, even if you don't bet.

Join us on Discord!


Come hang out on our Discord server, where we're talking best bets, top performing models, and answering all your questions about the platform.

Chat directly with the team and other users, talk features, and shape the future of the platform with your feedback.

JOIN DISCORD
BACKED BY THE BIGGEST NAMES IN THE INDUSTRY

A former DI basketball coach and a PhD math nerd walk into a bar...

or in this case, a March Madness party. The idea for Rithmm came in an MIT stats class where we spent our time wondering how we could take what we were learning and translate it into making better bets.

Our majority female founding team joined together over the shared vision of making sports analytics easy and accessible to every day sports bettors.

Our Journey So Far

Ideation and discovery in
MIT class
Proof of concept
testing
Secured investor funding
Hired our starting team members
Building minimal viable product
Launching beta for college football
Ideation and discovery in
MIT class
Proof of concept
testing
Secured investor funding
Hired our starting team members
Building minimal viable product
Launching beta for college football
Ideation and discovery in
MIT class
Proof of concept
testing
Secured investor funding
Hired our starting team members
Building minimal viable product
Launching beta for college football
Ideation and discovery in
MIT class
Proof of concept
testing
Secured investor funding
Hired our starting team members
Building minimal viable product
Launching Beta for College Football
Ideation and discovery in
MIT class
Proof of concept
testing
Secured investor funding
Hired our starting team members
Building minimal viable product
Launching beta for college football
Ideation and discovery in
MIT class
Proof of concept
testing
Secured investor funding
Hired our starting team members
Building minimal viable product
Launching beta for college football
Ideation and discovery in
MIT class
Proof of concept
testing
Secured investor funding
Hired our starting team members
Building minimal viable product
Launching beta for college football
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JOIN US

Where we're headed

We're launching our product in beta mode for college football this year, followed by college basketball.
The beta will contain the core of our platform (building models, generating predictions and tracking success).

We have A LOT of ideas on where we want to take the product (from best line identification to model improvement suggestions and even the ability to create your own factors). We also plan to branch into many other sports.

A large part of where we head next will be determined through the feedback of our users.
Join us and be a part of the community building the product you want to use.

Common Questions

We’ve got you covered

What does beta mode mean?

Beta mode means you’ll be experiencing an incomplete product. We’ll be focused on learning and experimentation, interacting with our users to understand the good, the bad, and the ugly. Beta mode is about progress, not perfection. What’s cool is, your feedback will directly impact the direction the product goes. Come join us!

Betting isn't legal where I live. Can I still use Rithmm?

Absolutely! Rithmm is Boston-based and it’s still not legal in Massachusetts. Rithmm is a predictive analytics platform, NOT a betting platform. You build the models and get notified of what to bet. We’ve had plenty of fun logging bets we didn’t actually put money on and competing for who has the best model, no betting needed.

What sports can I use Rithmm for?

This year, we’re focused on beta testing for College Football and Men’s College Basketball. We plan to expand to NBA, NFL, WNBA, and Women’s College Basketball in the near future, followed by expansion to other sports based on the demand of our users.

Where can I access Rithmm?

Rithmm is available for download on the Apple App Store and the Google Play store. We will also be rolling out a web-based platform in the near future.

What does joining the free beta testing community entail?

We're looking for users to download our app, use it, and provide feedback. We’ll invite you to join our Discord server where you can ask questions, provide feedback, rank product ideas and communicate with other members.

We’ll also be looking for users who want to have discussions with us and provide feedback directly. In short, it can be as involved or uninvolved as you want. We’re looking to build the product our users want to see in the world, so your feedback and input will be both valued and impactful to where Rithmm goes from here.

How do the models work?

Typically, data scientists build their own super complicated predictive models to help them determine game outcomes and what to bet. In this case, we've taken all that hard work and powered the back end, allowing you to manipulate data in an easy and fun way on the front end, without having to understand regression models, statistical analysis or machine learning. Just tell us what factors your think are important and let our algorithm do the rest.