Prediction markets enter the era of "arms dealers": 5(c) Capital builds infrastructure to counter platform monopolies and regulatory risks

When the CEOs of Polymarket and Kalshi bet on the same fund, it is not just a choice of capital, but a critical turning point for prediction markets moving toward institutionalization and infrastructure development. This article is curated from Anita's analysis. Wall Street has a classic signal: when competitors start betting on the same infrastructure, the industry has entered its next phase. This is the current state of prediction markets. On one side is Polymarket—the most viral event market in the crypto world; on the other is Kalshi—one of the only event contract exchanges with U.S. regulatory approval. The two paths are completely different: - One is global, on-chain, and decentralized in its narrative. - The other is compliant, CFTC-regulated, and follows traditional financial tracks. Yet, the CEOs of both companies have simultaneously invested in the same fund: 5(c) Capital. The implications behind this move are far more profound than they appear on the surface. 5(c) Capital is not large, with a target raise of approximately $35 million. Polymarket CEO Shayne Coplan and Kalshi CEO Tarek Mansour both invested in this fund. These two companies are the most critical players in the prediction market and are direct competitors. The fund is driven by two early Kalshi employees: Adhi Rajaprabhakaran and Noah Zingler-Sternig. The former was a Kalshi trader, and the latter was the Head of Operations at Kalshi. Polymarket was founded in 2020. The true origin of 5(c) is not a legacy fund that has been investing in projects since 2020, but a group of people who gained insight into the underlying logic of Kalshi’s early market structure and are now turning that experience into a fund. 5(c) is not a thematic fund in the traditional sense. It is more like a capital tool organized by industry insiders. Public data shows that 5(c) expects to invest in about 20 companies, with a focus on market makers, index design, and prediction market infrastructure. It is not looking to invest in the "next Polymarket" or the "next Kalshi." It is positioning itself in: - Who provides liquidity to prediction markets; - Who designs event indices; - Who handles cross-platform data; - Who builds trading tools; - Who manages risk and monitoring; - Who defines result settlement; - Who transforms prediction markets from retail betting into an institutional asset class. Platforms can compete, but infrastructure can be shared. Polymarket needs depth, and so does Kalshi; Polymarket needs more credible prices, and so does Kalshi; Polymarket needs institutional entry, and Kalshi needs it even more. It is betting on the entire prediction market ecosystem, not just one entry point. The lineage of 5(c) is clear: Kalshi. Kalshi’s path is completely different from Polymarket’s. Polymarket is a crypto-native growth machine, rapidly breaking through via globalization, on-chain assets, and event narratives. Kalshi, meanwhile, has chosen the U.S. regulatory path, dealing long-term with the CFTC, state regulators, and the boundaries of event contracts. Therefore, people coming out of Kalshi naturally care about several things: - What events can be designed into contracts; - What events should not be traded; - Which markets are easily manipulated; - Why market makers are reluctant to enter; - How traders utilize non-public information; - Where regulators will eventually tighten boundaries. This is different from the perspective of a typical crypto fund. A typical crypto fund sees growth curves; the Kalshi crowd sees market structure. The biggest problem with prediction markets has never been "whether people want to bet." Humans have always wanted to bet. The problem is: can this betting behavior be packaged into a financial market and withstand regulation, liquidity, manipulation, settlement disputes, and institutional scrutiny? 5(c) choosing to invest in infrastructure is an answer to this question. It very likely can. Prediction markets seem infinitely expandable because the world has new events every day. But markets that can truly form effective trading are rare. Most events lack enough traders, enough liquidity, and sufficiently clear settlement standards. This leads to a result: the more concentrated the liquidity, the more credible the price; the more credible the price, the more concentrated the users; the more concentrated the users, the more willing market makers are to participate; the more willing market makers are, the further liquidity concentrates. This is a classic exchange network effect. Stock trading, options trading, and futures trading are all like this. In the end, the market will not be evenly distributed across 100 platforms, but concentrated in the hands of a few exchanges, clearinghouses, market makers