Kash Raises $2M Pre-Seed To Bring Prediction Markets To Social Media

What Happened

Backed by leading venture investors including Big Brain Holdings, Spartan Group, Coinbase Ventures, Kosmos Ventures, Halo Capital, MoonRock Capital, Polaris Fund, Sui Foundation, Fabric VC, and Animoca Brands, Kash is positioning prediction markets where attention already lives: inside the platforms that shape global conversation.

To support this evolution, Kash is forming a Prediction Market Council, bringing together researchers, investors, and operators to define standards and guide the responsible expansion of this emerging category.

Market Context

Kash, a social-native prediction market platform, has raised $2 million in pre-seed funding to transform how conviction is expressed online. Built directly into social media, and starting with X, Kash turns everyday posts into live, tradable markets on real-world events, embedding forecasting into the social feed itself.

Rather than debating outcomes in comment threads, users can now express conviction through simple interactions with @kash_bot. No new clunky apps. No complex external trading interfaces. Just scroll, quote-post, predict, and let the market price the truth in real time.

“We’re embedding an entirely new financial vehicle where people already live, and enabling users to place, and even permissionlessly create prediction markets, directly from their feed,” said Lucas Martin Calderon, Founder and CEO of Kash.

Before founding Kash, Lucas worked at the intersection of blockchain security and AI, collaborating with governments and tier-one banks to architect secure on-chain systems. He later worked alongside leading crypto hedge funds on high-frequency trading strategies, gaining firsthand experience in how markets aggregate and price information at scale.

Those experiences pointed to a clear shift: prediction markets are approaching an inflection point. The world has never been more uncertain, and as information accelerates and trust fragments, markets will determine what is credible. Kash brings that mechanism directly into where information spreads fastest.

Posts become markets. Engagement becomes a signal. Every prediction is settled transparently on-chain. Leaderboards, dynamic multipliers, and weekly competitive games make forecasting social and participatory, while the underlying infrastructure ensures trustless execution and automated resolution, which virally grow across social media feeds.

Kash is also extending its infrastructure beyond its core product, working with several companies to embed prediction markets directly into their own platforms and communities, unlocking new forms of engagement and user acquisition. This is the first time large social media accounts can engage with their audience in an entirely new way, making people have skin-in-the-game around any short-lived narrative.

“Prediction markets are one of the most robust truth-finding mechanisms in finance. The missing piece has been distribution. Kash solves that by embedding markets natively into X, where the information and opinions already flow.” said Lata Persson from Fabric VC. “We’re excited to back Lucas and the Kash team, who bring a rare combination of deep experience in how institutional markets aggregate information, and a clear-eyed view of where consumer attention lives.”

Prediction markets have historically lived on niche trading platforms. Meanwhile, billions of users debate outcomes daily on social media without economic accountability.

“We’re not building a feature, we’re defining a new behaviour,” said Lucas. “Prediction markets shouldn’t be confined to professional traders. They should be native to how people interact with uncertainty every day.”

Kash is the first and only prediction market protocol that enables:

permissionless prediction market creation: any user can create any market

short-lived flash markets: Kash can create markets that last as little as 15 mins to weeks

Why It Matters

“People already hold opinions on elections, macro, sports, and culture. Kash transforms those opinions into tradable positions and rewards those who are right.”

Bridging Institutional Infrastructure and Consumer Attention

Details

Why This Moment Matters

Kash sits at the convergence of two forces:

The financialization of attention

The growing demand for real-time, trustless information systems

Kash’s Technology Is Ridiculously Impressive

leverage: users can trade with leverage, native to the protocol

natively embeds within social media feeds: leveraging familiar and existing user habits