Zo brak Chess.com met AI buiten zijn domeinnaam
How Chess.com Built a Poker Platform in One Year (And What It Means for Your Next Project)
When you've dominated online chess for nearly two decades, where do you point the telescope next? For Chess.com, the answer reads like a strategy game itself: AI-assisted development, poker, and possibly go, backgammon, and mahjong on the horizon.
This year, the company quietly introduced Gambit—a free online poker platform currently in beta. But calling it just another poker site would miss the point entirely. Gambit was built as a learning environment with zero real-money gambling. Chess.com's chief growth officer Albert Cheng didn't sugarcoat the reasoning: "Real money is the problem we built Gambit to get away from. The whole industry makes money when beginners lose."
Here's what makes Gambit worth watching: it's not just what they built, but how.
A Two-Person Sprint to Launch
Cheng and a single colleague took Gambit from rough prototype to live product in roughly twelve months. For an entirely new platform with its own gameplay mechanics, rating systems, and social features? That's moving at a pace most startups would envy.
So what's the secret sauce? AI did much of the heavy lifting. According to Cheng, "The biggest advantage is essentially being able to read our existing codebase and design system and apply consistent patterns across to a different platform—and do so quickly."
This should grab the attention of developers and founders everywhere: AI isn't replacing human decision-making here. It's compressing the timeline from concept to launch in ways that were simply impossible before. Without AI assistance, Cheng noted, launching a new platform would have required a larger team or become "a lot more disruptive to the status quo" of their core chess development.
The Elo-Everything Playbook
Chess.com's expansion strategy has another layer worth examining: they bring their rating system culture everywhere they go. For Gambit, they developed an Elo-style ranking specifically tuned for poker, understanding that competitive players need a yardstick for progress.
"You're not gambling your own hard-earned money necessarily, so the stakes are lower from that standpoint," Cheng explained. "But you need something to counterbalance it that you care about—something that keeps the ecosystem in play."
That rating system does double duty. It tracks skill growth, yes, but it also powers the subscription model. Chess.com makes most of its revenue from subscriptions, even though the majority of users play for free. Premium perks like unlimited game reviews and puzzles tempt upgrades—but only because players can see tangible improvement in their ratings.
The lesson cuts across industries: if you're building anything with a skill component, a solid rating system isn't a nice-to-have. It's foundational infrastructure that makes both engagement and monetization possible.
Looking Ahead
Gambit is just the opening move. Chess.com is already scoping go, backgammon, and mahjong as future territory. Their criteria? Games with "that classic durability plus the community around it"—the exact combination that made chess their original stronghold.
For developers tracking this expansion, the takeaway lands firmly on one side of the AI debate: the technology isn't about replacing your team, it's about amplifying what a small, focused group can pull off. Cheng put it well: "Just because code is easier to write doesn't mean you let it run on its own—but it certainly is a superpower in getting things off the ground."
That's the real story behind Gambit. It's not merely a poker platform—it's proof that the playbook for building successful digital ecosystems can now be executed by leaner teams, faster than anyone thought possible.