Jacob Fortinsky, CEO of Novig, explains the rationale behind the platform's decision to restrict access to users aged 21 and older, amidst rising concerns over youth engagement in prediction markets.
Washington DC, United States Aug 13, 2026 ALN: Twenty-eight-year-old Jacob Fortinsky has been busy. “I was a groomsman at two weddings this weekend,” he tells me over Zoom. Also, the sports trading company he runs, Novig, launched its prediction market last week, facilitating $18 million in trading volume on its first day. Today, Novig launches a “responsible trading framework” in its exchange rulebook, codifying its guardrails as part of its effort to be seen as a kinder, gentler prediction market player.
Unlike industry leaders like Polymarket and Kalshi, which allow people 18 and older to participate, you have to be at least 21 to use Novig. Fortinsky says that decision was made in response to “valid concerns” put forth about the susceptibility of younger participants to risky behavior, including lobbying from the NCAA and other professional groups. Fortinsky sees this move as staying ahead of the curve as concerns grow about the negative impact that prediction markets can have on teens. “There’s a broader reckoning coming with the younger traders,” he says. “That group is particularly susceptible to irresponsible behavior and financial ruin.”
The decision to set the age limit at 21 reflects a growing awareness of the potential dangers associated with engaging in prediction markets, particularly for younger individuals who may lack the financial literacy or experience to navigate these complex environments. The gambling industry has long grappled with the issue of underage participation, and prediction markets are no exception. By establishing a higher age threshold, Novig aims to foster a more responsible trading culture while also addressing the concerns raised by various stakeholders, including educational institutions and regulatory bodies.
Novig’s rulebook also prohibits marketing to minors and lays out guidelines banning other marketing practices, like ads that claim there’s no risk or ads that try to appeal to a prospective participant’s money troubles. This is particularly significant in an era where social media plays a crucial role in influencing younger audiences. That means when it advertises on TikTok, for example, it uses a setting that allows targeting only people over 21. Fortinsky positions these restrictions as part of Novig’s push to be seen as a “serious, legitimate financial product” as it comes onto the scene. “Some of our competitors, I think, have been seen as being a little bit more cavalier in certain regards,” he says. (He declined to name specific rivals.)
In the broader context of the prediction market landscape, Novig’s approach may set it apart from competitors who have been criticized for their more aggressive marketing tactics. The decision to eschew practices that could be perceived as predatory or misleading could help Novig cultivate a more positive reputation and establish trust with its user base. In an industry often associated with gambling and risk-taking, Novig’s focus on responsible trading may resonate with consumers who are increasingly concerned about ethical practices.
Because Novig only offers sports-themed markets, it doesn’t wade into some of the more hotly contested topics, like US elections and the Iran war. This strategic choice allows Novig to avoid some of the regulatory scrutiny that has plagued other prediction markets. However, it does not mean that Novig is free from controversy. As a sports-centered platform, the types of speculation opportunities it offers are at the center of an ongoing regulatory war, with prediction markets and federal regulators on one side and state regulators, tribal authorities, and occasionally traditional sportsbooks and casino operators on the other. Dozens of messy legal battles are raging across the US. States are suing Kalshi and other platforms, alleging that they illegally offer gambling; Kalshi is suing right back; the Commodity Futures Trading Commission, which oversees the industry, is suing several states, arguing that it alone has jurisdiction over these markets.
This ongoing legal battle highlights the complex regulatory environment surrounding prediction markets, which straddles the line between gambling and trading. As states seek to protect consumers and uphold their own gambling laws, companies like Novig are forced to navigate a patchwork of regulations that can vary significantly from one jurisdiction to another. The outcome of these legal disputes could have far-reaching implications for the future of prediction markets and their ability to operate within the existing regulatory framework.
Also, Novig isn’t immune to the general cultural distaste for prediction markets; when the New York Mets announced a recent partnership with Novig, the baseball team received a flood of criticism on social media. Sample post: “This is vile.” Such backlash illustrates the skepticism that exists around prediction markets, with some viewing them as exploitative or harmful, particularly in the context of sports where the stakes are high and the potential for financial loss is significant.
If sports-related event contracts offered by prediction markets are banned, big players like Kalshi and Polymarket will be in deep trouble, with the majority of the action on their services gone. But Novig’s position is even shakier, since that’s all it does. The reliance on sports-themed markets means that any regulatory changes could have a direct and potentially devastating impact on Novig’s business model.
Fortinsky is betting it all on a win, and Novig wasted no time jumping into the legal fray. Within three days of launching, the startup sued New York, Massachusetts, New Mexico, and Washington, all states that have taken an aggressive approach to curbing prediction markets. It is trying to block these states from attempting to apply their gambling laws to federally regulated exchanges, which is what it’s licensed as. Sports betting attorney Daniel Wallach tells that these complaints are a “great marketing strategy” and a way to announce that Novig has arrived on the scene. This proactive approach to legal challenges may help Novig establish itself as a serious player in the prediction market space, but it also carries significant risks.
Whether they'll be successful is another matter. Recent court decisions have largely swung toward state attorneys general. A judge in New York denied Novig’s efforts to get a temporary restraining order, on the grounds that doing so would undermine another decision already reached in a case against Kalshi. “It’s increasingly looking more positive for the states,” Wallach notes. But that could change; Wallach and other onlookers expect the fight to get kicked up to the US Supreme Court before anything is definitively resolved. The implications of such a decision could reshape the landscape of prediction markets and clarify the legal boundaries within which they operate.
Until then, Novig is plowing ahead. One of Novig’s appeals to customers is that it offers a different kind of sports speculation experience, one without a house that takes a “vig,” the fee that bookies take for arranging a bet. (“No vig,” get it?) Fortinsky has harsh words for many of the dominant sports gambling players, calling sportsbooks “inefficient, exploitative, and predatory.” He sees the peer-to-peer model that prediction markets facilitate as distinct, since it’s two parties on equal footing going up directly against each other. This model presents an alternative to traditional sports betting, where the house always has an edge. However, it also raises questions about the fairness and transparency of the market, particularly as Novig seeks to onboard larger financial institutions as participants.
But if Novig goes how he’d like it to go, those parties won’t always be two average sports fans squaring off. The company is actively courting financial institutions to take sides of wagers, and Fortinsky says Novig is currently onboarding proprietary trading firms and banks. The company is taking steps to make it easier to “trade programmatically,” using algorithms to automate placing money on which team will win the Super Bowl or how many times the Mets will lose, for example. This shift towards algorithmic trading could attract a different kind of investor, one that is more focused on data and analytics rather than the casual sports fan.
“Something that's really cool to see,” he says, “is that you have hundreds of these small shops with a couple guys with $100,000 that are now competing against some of the largest Wall Street trading firms in the world and doing quite well.” This dynamic could democratize access to sports trading, allowing smaller players to compete on a more level playing field. However, it also raises concerns about the potential for market manipulation and the impact of high-frequency trading strategies on the integrity of the market. Good thing the teens aren’t allowed in.
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