The numbers come first. Kalshi was founded in 2018 and operates as a federally regulated event-contract exchange under CFTC oversight. This week it is going public with a new external tool called Blanket, built at tryblanket.app, designed to route small businesses toward prediction-market contracts that can offset concrete operational risks.
The builder is Lauris Zminsky, a London-based founder and trained financial economist who describes himself as a 'forward deployed philosopher' and does not work for Kalshi. He told Fortune he began experimenting with Kalshi's event contracts late last year to prove prediction markets could have 'true, durable economic use' beyond pure speculation.
How it works. A business owner — a bar, a laundromat, a regional restaurant — enters a specific worry: hurricane season in Florida, a fuel-price spike, an unusually warm winter. Blanket's AI reasoning engine then suggests specific yes-or-no markets on Kalshi that could pay off if the bad outcome materializes. 'You can't execute a trade. There's no money moving through that application or system at all,' Zminsky told Fortune. 'It's a reasoning tool. It's a discovery tool that funnels you towards Kalshi.' All execution, compliance, and customer vetting happen on Kalshi's side.
A Kalshi spokesperson confirmed to Fortune that Blanket is a fully external project that simply references public Kalshi contracts, and that Kalshi's compliance team was not involved in its creation.
The business case. Nicolas Hull, who runs small-business hedging at Kalshi, told Fortune that 'SMBs are turning to Kalshi to hedge against the real world,' citing weather anomalies, major sports tournaments, and freight and tariff volatility. He called it a 'massive growth segment' for Kalshi. Kalshi's own marketing already showcases examples: weather hedges for ice-cream shops and refund-tied promotions linked to Knicks games. Zminsky's first Kalshi-adjacent project, built with a Kalshi employee, aimed to match S&P 500 companies' risk factors with existing Kalshi markets; Blanket is the self-serve evolution of that idea for Main Street.
Zminsky was careful to calibrate expectations. This may not be transformative for how small businesses run, he said, 'but you can definitely de-risk a lot of your balance sheet exposures' by finding the right markets and sizing the bets correctly.
The market has already voted on what this resembles. Zminsky compared Kalshi's trajectory to Lloyd's of London, founded in the late 1600s as a hedging operation out of a coffee shop before becoming a global insurance institution. He also acknowledged the criticism that prediction markets are simply legalized gambling — a charge Kalshi has answered by leaning hard into the hedging use case.
CEO Times take. What Blanket represents is exactly the kind of market-driven financial innovation that regulators and big banks have historically reserved for large corporate clients. A CFTC-regulated exchange, a solo entrepreneur with an AI reasoning engine, and an app that costs nothing to try: that is free enterprise compressing a service that once required a six-figure derivatives desk into a browser tab. Small businesses carry enormous balance-sheet exposure to weather, politics, and macro shocks — risks they have historically absorbed with no tool to offset them. If prediction markets can price those states of the world efficiently, the taxpayer and the small-business owner both win: no bailout required, no intermediary skimming the spread. Capital rewards clear rules, and Kalshi's federal regulatory standing is precisely the clear rule that makes this possible.
