How Battle Bets Turned College Football Community Into a Sticky Sports-Tech Product

College football has no shortage of passionate fans. What it arguably lacks is a single game that organizes that passion the way fantasy football does for the NFL or bracket pools do for March Madness.

That gap is what Reese Wilson is trying to fill with Battle Bets.

Battle Bets is a season-long, fake-money prediction game built around private leagues and competition between friends. Players receive a virtual budget each week, make predictions on college football games and players, accumulate points based on their results, and ultimately compete through a playoff-style finish.

The product is still early, but the lessons behind its first few thousand users are already useful for sports-tech founders: solve a narrow fan problem, prioritize retention before scale, and find distribution channels where communities already exist.

A Great Sports Product Can Start With a Missing Ritual

The strongest product opportunities do not always come from inventing entirely new behavior. Sometimes they come from giving existing behavior a better structure.

College football fans already debate games, make predictions, compete with friends and organize office pools. What's missing is a persistent game that could become part of the weekly routine.

Fantasy football owns that ritual for NFL fans. March Madness brackets dominate college basketball for a few weeks each spring.

College football has plenty of individual games and prediction products, but no obvious equivalent.

Battle Bets is designed to occupy that space.

The important founder lesson is that the opportunity is not simply “college football is popular.” Popular markets are not automatically good startup opportunities.

The more interesting question is whether passionate users repeatedly perform a behavior that still feels fragmented or underserved.

Battle Bets is testing whether weekly competition between college football fans is one of those behaviors.

Retention Answered the First Big Question

Early-stage startups can easily become obsessed with signups.

Battle Bets focused instead on whether people came back.

Its first-season numbers gave Wilson reason to keep pushing. Roughly half of users returned after their first week. Among the people who made it past that initial week, Wilson said approximately 90% remained active through the rest of the season. That distinction matters.

The first week filters out curious users who realize the product is not for them. The behavior after that tells a much more interesting story.

For Battle Bets, the signal was clear enough to change the company's next question.

The challenge was no longer simply, “Do people want this?”

It became, “Can we reach enough of the right people to build a business around it?”

That is an important progression for any early-stage founder. Acquisition can temporarily hide a weak product. Strong retention is much harder to fake.

Battle Bets' early traction suggests that once the right type of college football fan adopts the product, there is a meaningful reason to return.

The Best Customer Might Be the Commissioner

Another useful insight emerged when Battle Bets looked beyond basic demographics.

The ideal user was not necessarily the most dedicated sports analyst or prediction expert.

It was the commissioner.

Every friend group seems to have one: the person who organizes the fantasy league, starts the March Madness pool, creates the group chat or convinces everyone else to participate.

For Battle Bets, acquiring that one person can effectively acquire an entire group.

That changes the go-to-market strategy.

Instead of thinking only in terms of individual users, the product can target community organizers who naturally bring additional users with them.

Battle Bets has applied the same idea to podcast partnerships.

College football podcast hosts already have communities built around them. Battle Bets can give those communities another way to compete with the host and with one another.

One partnership with the Oklahoma Breakdown podcast accounted for roughly half of Battle Bets' users, according to Wilson. Smaller podcast partnerships contributed another meaningful share.

Rather than trying to manufacture a community from scratch, Battle Bets found communities that already existed.

For early-stage consumer sports products, that can be dramatically more efficient than buying disconnected individual users.

Reliable Infrastructure Becomes a Product Feature

Sports products face a challenge many traditional software startups do not: game day does not wait for your infrastructure.

Battle Bets learned that quickly.

Only a few weeks after launching, the platform's original data provider was creating issues with missing games and delayed updates. The problem became especially painful during a college football Saturday when approximately 2,000 users were already using the product.

A live scoreboard and real-time progress are central to the Battle Bets experience. If users make a prediction and cannot see what is happening, the product immediately feels broken.

Wilson switched the application to DataFeeds by Rolling Insights during that same Saturday.

The story highlights an important distinction for founders evaluating infrastructure partners. Price matters, especially for a young company, but reliability and access to responsive support become much more valuable once real users depend on the product.

For Battle Bets, sports data is not simply something running in the background.

It is part of the user experience.

The next step Wilson would like to see is college football play-by-play data, which could give Battle Bets additional building blocks for richer real-time experiences and more automated in-game outcomes.

Building Without the Traditional Developer Background

Battle Bets is also part of a broader shift in who can build software products.

Wilson's professional background is in consulting, not software development. He had been experimenting with building applications since around 2020, but newer AI-assisted development tools helped reduce the barrier between having an idea and turning it into a working product.

That does not mean Battle Bets was produced simply by prompting an AI tool.

Wilson designed and built the application's architecture himself.

What changed was the speed at which a technically curious founder could learn, iterate and ship.

The result has been more important than the development process itself: thousands of users have been able to use the application, and a meaningful percentage have continued coming back.

For founders, that shift creates both an opportunity and a new standard.

Building the first version of a product is becoming easier.

Building something people repeatedly want to use remains difficult.

From Product Validation to Distribution

Battle Bets has moved from one startup problem to the next.

The first challenge was proving that a persistent college football game could hold users' attention. Early retention offered encouraging evidence.

Now the harder question is distribution.

Can the company consistently find commissioners, podcast communities and passionate college football fans at an acquisition cost that supports a sustainable business?

That is the experiment currently underway.

For other sports-tech founders, Battle Bets offers a useful framework: find the behavior fans already want, build a product around the person who organizes that behavior, measure whether users come back, then scale through communities that already contain your target audience.

If you're working through those same early-stage questions around product, distribution and sports data, the Breakaway Accelerator is built to connect sports-tech founders with mentorship, networking and resources that can help them reach the next stage.

Learn more at rolling-insights.com/breakaway.