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February 24, 2026 — Kash, a startup developing prediction market infrastructure integrated directly into social media platforms, has raised $2 million in pre-seed funding.
The company is building a system that allows users to create and participate in prediction markets within social feeds, starting with X. Rather than relying on standalone trading interfaces, Kash aims to embed forecasting mechanisms into existing social interactions.
The funding round included participation from several venture firms active in digital asset and fintech investments.
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. “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
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."
Industry context
Interest in prediction markets has increased amid broader discussions about decentralized finance, information aggregation, and alternative mechanisms for assessing probabilities in real time.
“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.”
While prediction markets have often been associated with professional traders or niche platforms, companies like Kash are experimenting with distribution models that place forecasting tools within mainstream social environments.
Kash’s technology
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
Leverage: users can trade with leverage, native to the protocol
Native embedding within social media feeds: leveraging familiar and existing user habits
This is only possible through Kash's custom Bonding Curve Automated Market Maker mechanism, which Lucas created from scratch, fully adapted to social media dynamics and permissionless flash markets for the first time.
Furthermore, Kash is pioneering how AI is used in prediction markets when it comes to market creation and resolution. Kash is the first protocol that will commercialise the most advanced multi-agentic high-reasoning LLM Council that trustlessly verifies its outcomes using zero-knowledge proof cryptography.
Development roadmap
Kash has launched a pre-testnet simulation on X called “Kash Flash,” a recurring forecasting series designed to test system mechanics and user engagement. The company indicated that early participants may receive access to future platform testing phases.
With pre-seed funding secured, Kash plans to expand its infrastructure and team ahead of a broader launch.
About Kash
Kash is a social-native prediction market platform embedded into X, enabling users to trade on real-world events directly within their feed. Founded by Lucas Martin Calderon, Kash combines institutional-grade infrastructure with social-native design to make forecasting accessible, competitive, and economically meaningful.
For more information please visit:
@kash_bot and @lmc_security on X
Contact:
andrew@kash.bot
