Problem

Traditional prediction markets generally let users trade one event at a time, while many real-world views are expressed as connected theses: for example, a belief that Google wins the AI race may imply that both GOOGL and the S&P 500 rise. Expressing that thesis today can require capital in several separate markets, making it less capital-efficient and forcing traders to manage isolated positions. Totalis’s main use case is allowing a trader to combine two to five related predictions into one position with a larger potential payout if every leg is correct.

The product targets sophisticated users who think in second- and third-order effects rather than isolated outcomes. Its appeal is strongest when the user believes several events will happen together—for example, a macro view linking interest rates, gold, and crypto—although the economics are explicitly high risk because a multi-leg position loses its payout if any leg fails.

Product / Service

Totalis is a self-serve, onchain derivatives layer for prediction markets. Users select predictions across categories such as crypto, politics, sports, and weather, build a custom parlay, and receive an instant tailored quote from market makers rather than relying on a rigid single-market order book. The platform draws on markets from Polymarket and Kalshi and settles on Solana, where low fees and fast settlement are intended to make smaller, frequent trades practical.

The benefit is a more flexible way to express a multi-factor forecast: users can place one capital allocation behind an entire thesis instead of funding each leg separately, while retaining amplified upside when the thesis is right. Totalis also advertises a planned yield feature of up to 3.1% on locked positions. The product launched for users outside the United States, reflecting the regulatory constraints around prediction-market derivatives.

Market

Totalis competes in the emerging market for prediction-market derivatives, structured forecasting positions, and crypto-native event trading. Its closest adjacent competitors are Polymarket and Kalshi, which supply major prediction-market liquidity and are themselves moving toward multi-leg parlays; Totalis’s differentiation is cross-category combination and custom pricing rather than simply offering another single-event venue. The broader category is expanding rapidly, but it remains nascent and carries substantial regulatory risk.

The company is early post-launch rather than an established scaled business. Y Combinator lists Totalis as an active Spring 2026 company founded by Eric Liu and Pravesh Mansharamani, and launch coverage reports a $500,000 YC seed investment and a May 25, 2026 product launch. Public sources reviewed do not disclose trading volume, customers, or revenue; accordingly, Totalis should be treated as pre-revenue or at least commercially unproven, with funding, a live product, and early social visibility serving as its primary disclosed traction signals.