Kash Raises $2 Million to Build Social-Native Prediction Markets
Kash has raised $2 million in pre-seed funding to build prediction markets directly into social media feeds, starting with integration on X.

Kash, a startup developing prediction markets designed to operate natively within social media feeds, has raised $2 million in pre-seed funding as it seeks to expand market-based forecasting beyond dedicated trading platforms.
The round included participation from Big Brain Holdings, Spartan Group, Coinbase Ventures, Kosmos Ventures, Halo Capital, MoonRock Capital, Polaris Fund and Fabric VC, according to a company announcement released Monday. Financial terms beyond the total raised were not disclosed.
The funding comes as prediction markets gain broader visibility, with platforms such as Polymarket and Kalshi drawing increased activity around political events and macroeconomic developments. Kash is positioning itself differently, aiming to embed market creation and trading directly inside existing social networks rather than requiring users to visit standalone exchanges.
Founded by Lucas Martin Calderon, the company has begun integrating its infrastructure with X, enabling users to convert posts into live, tradable prediction markets. Through an automated bot interface, users can create markets tied to real-world outcomes and allow others to buy or sell positions reflecting their expectations.
The model shifts the point of engagement from specialized trading environments to everyday social conversations. Kash says users can permissionlessly create markets directly from posts, a departure from more curated approaches where contracts are listed by a central operator.
Investors backing the round include several crypto-focused venture firms, reflecting continued interest in applications that blend decentralized financial mechanisms with consumer-facing products. Coinbase Ventures’ participation underscores the broader trend of digital asset investors supporting tools that extend blockchain-based infrastructure into new user environments.