TurboHome launched a free San Francisco real estate prediction game that lets users forecast home sale prices daily.

TurboHome is betting that the best way to teach people about San Francisco’s brutal housing market is to make them guess their way through it.

The AI-powered homebuying startup has launched TurboHome Markets, a free daily prediction game that asks users to forecast the final sale prices of five active San Francisco listings before they close. Top performers climb a leaderboard and compete for prizes, including tickets to FIFA World Cup matches at Levi’s Stadium in Santa Clara.

The launch leans into a stat that captures just how extreme the local market has become: 88.3 percent of San Francisco homes that closed last month sold above asking price, according to housing analyst Ryan Lundquist of Sacramento Appraisal.

“TurboHome Markets gives players a smarter, more fun way to learn about pricing dynamics while sharpening their market instincts in real time,” said Ben Bear, TurboHome’s CEO and co-founder.

Each day’s game features real listings paired with AI-driven market analysis. The format is deliberately simple — pick a number, see how you stack up. But the underlying data engine is the same one TurboHome uses for its core homebuying platform, which pairs AI tools with local agents and claims to save buyers an average of $30,000 compared to a traditional commission-based transaction.

The timing isn’t accidental. Prediction markets and finance-adjacent games have gone mainstream — from Kalshi to the revival of sports betting — and TurboHome is planting a flag in that cultural moment before a bigger player does.

The game is also, not incidentally, a top-of-funnel play. TurboHome is competing in a crowded field of tech-forward brokerages and discount models that emerged after the National Association of Realtors’ landmark commission settlement in late 2024. The company says its customers have since closed on $350 million in homes across California and Texas, saving $8 million in commissions compared to conventional agents.

Email Nick Pipitone

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