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About Oddpool
Oddpool is an institutional-grade data layer for prediction markets, aggregating quotes, order books, and trade data from venues such as Kalshi and Polymarket, and providing a unified symbology, API, WebSocket feeds, and historical tick data (). Its core narrative is addressing data fragmentation: venues lack shared market identifiers, there is no backtestable tick-level history, and institutions spend weeks cleaning data (). The business also covers cross-venue spreads, whale-trade tracking, arbitrage signals, plus paper trading and an AI assistant called Oddbot ().
Over the past six months, Oddpool launched the Premium API tier with arbitrage, spread, and search endpoints; expanded spread monitoring to Opinion for three-venue comparison; rebuilt its homepage with cross-venue search; and shipped real-time paper trading and Oddbot (). No major negative developments were found within two years.
Oddpool was founded in 2026 by Avi (CEO) and Ritesh (CTO) in San Francisco as an institutional-grade data layer for prediction markets. It graduated from Y Combinator's Spring 2026 batch and completed a $3 million seed round (, ). The company addressed fragmentation across venues, missing tick-level history, and data normalization overhead by building a universal symbology and full-depth orderbook/trade archives (). It launched a prosumer tier and reached several thousand dollars in monthly recurring revenue within months (). In September 2026, Oddpool joined CFTC-regulated exchange Kalshi to build integrated data infrastructure within the ecosystem, marking a shift from external partner to core infrastructure provider for institutional adoption (, ). These milestones represent its evolution from a niche tool into foundational market infrastructure.
Avi Arora: Co-Founder & CEO. Previously ML Researcher at Microsoft, where he developed a prompt injection defense model handling 20B requests/year and built an internal agent evaluation platform running 1M benchmarks/year. Holds a Master's in CS from Georgia Tech (ML specialization).
Ritesh Malpani: Co-Founder & CTO. Previously SWE at Bloomberg, architected systems processing 100K+ TPS across trading infrastructure. Also interned at Amazon, American Express, and PennyMac. Holds a Master's in CS from Georgia Tech.