Blanket AI guides small businesses to Kalshi event contracts for hedging
Built by entrepreneur Lauris Zminsky, the tool analyzes exposures such as hurricanes, energy costs, tariffs and elections, then recommends relevant contracts on Kalshi's CFTC-regulated prediction market.
Blanket, an independently developed AI tool created by Lauris Zminsky, is designed to help small businesses identify Kalshi event contracts that may offset operating risks tied to weather, energy prices, tariffs and elections. Users can describe exposures such as Florida hurricane threats, warmer winter conditions or rising power costs for restaurants, and the system matches those risks with relevant markets on Kalshi's Commodity Futures Trading Commission-regulated prediction platform. Blanket does not execute trades, handle customer funds or perform onboarding, instead routing any transaction, compliance and verification activity back to Kalshi. The launch underscores Kalshi's broader push to present event contracts as practical hedging instruments beyond traditional financial users.
- event contracts: Contracts that pay out based on whether a specified real-world event occurs.
- prediction market: A market where participants trade on the likelihood of future outcomes.
- hedging: Using a financial position to reduce potential losses from another business risk.