What Chess.com Teaches US About Superhuman Capabilities, with CEO Erik Allebest
Episode
46 min
Read time
2 min
Topics
Career Growth, Investing, Startups
AI-Generated Summary
Key Takeaways
- ✓Growth baseline strategy: Chess.com's durable growth came from successive cultural waves — COVID/Queen's Gambit in 2020-2022, then short-form content and viral moments in 2023 — each spike settling at a higher floor than before. Founders should track post-spike retention, not peak numbers, as the true signal of product-market fit and sustainable audience growth.
- ✓Bootstrap velocity model: Chess.com scaled from two founders to 650 employees and $200M revenue without raising outside capital by reinvesting cash flow incrementally — hiring one person at a time as revenue allowed. This "grow at the speed of cash" approach preserved culture and mission alignment, avoiding the pressure to chase metrics that misalign with user value.
- ✓AI accelerates skill acquisition, not replacement: Neural net chess engines like Leela Chess Zero, which defeated rule-based Stockfish through self-reinforcing learning, made chess more tactically aggressive and exciting. Chess.com uses AI for personalized puzzle generation, game review coaching, and identifying specific skill gaps — compressing the learning curve without eliminating the need for deliberate repetition.
- ✓Habit compounding over shortcuts: Chess.com's dataset of millions of players at every rating level confirms no shortcut exists to expertise — only consistent repetition of fundamentals. A practical framework: multiply any daily habit by 1,000 days to project its impact. Five puzzles daily equals 5,000 puzzles over that period, producing measurable Elo improvement regardless of AI tool access.
- ✓Rating systems reframe competitive motivation: Chess.com's expansion into poker via Gambit.com applies chess-style skill ratings to a money-driven game. The hypothesis is that players will prioritize rating points over financial outcomes once ratings become identity signals. This reframes competition around demonstrated skill rather than chip stack size, reducing exploitative play and bot-driven manipulation.
What It Covers
Chess.com CEO Erik Allebest traces how a $56,000 domain purchase in 2005 became a 250-million-member platform generating $200M annually, and examines what chess — the longest-running experiment in human-versus-superhuman competition — reveals about skill acquisition, AI integration, and the enduring value of human expertise.
Key Questions Answered
- •Growth baseline strategy: Chess.com's durable growth came from successive cultural waves — COVID/Queen's Gambit in 2020-2022, then short-form content and viral moments in 2023 — each spike settling at a higher floor than before. Founders should track post-spike retention, not peak numbers, as the true signal of product-market fit and sustainable audience growth.
- •Bootstrap velocity model: Chess.com scaled from two founders to 650 employees and $200M revenue without raising outside capital by reinvesting cash flow incrementally — hiring one person at a time as revenue allowed. This "grow at the speed of cash" approach preserved culture and mission alignment, avoiding the pressure to chase metrics that misalign with user value.
- •AI accelerates skill acquisition, not replacement: Neural net chess engines like Leela Chess Zero, which defeated rule-based Stockfish through self-reinforcing learning, made chess more tactically aggressive and exciting. Chess.com uses AI for personalized puzzle generation, game review coaching, and identifying specific skill gaps — compressing the learning curve without eliminating the need for deliberate repetition.
- •Habit compounding over shortcuts: Chess.com's dataset of millions of players at every rating level confirms no shortcut exists to expertise — only consistent repetition of fundamentals. A practical framework: multiply any daily habit by 1,000 days to project its impact. Five puzzles daily equals 5,000 puzzles over that period, producing measurable Elo improvement regardless of AI tool access.
- •Rating systems reframe competitive motivation: Chess.com's expansion into poker via Gambit.com applies chess-style skill ratings to a money-driven game. The hypothesis is that players will prioritize rating points over financial outcomes once ratings become identity signals. This reframes competition around demonstrated skill rather than chip stack size, reducing exploitative play and bot-driven manipulation.
Notable Moment
When Deep Blue defeated Kasparov, widespread predictions declared chess finished as a human pursuit. Three decades later, Chess.com reports 10 million daily active users — more than ever before. Allebest attributes this to humans fundamentally seeking competition against other humans, not machines, regardless of machine superiority.
Episode Transcript
COVID happened. Queen's Gambit happened. Some news cycles happened. And we're like, oh, this might just be a flash in the pan like treadmills and sourdough bread. But then in 2023, we had another crazy wave where all these kids started playing in schools because of short form content and the mittens bot and the cheating scandal, and we just spiked again. And then when we came down again, we were so much higher and we maintained this baseline. How do you think about, like, how to design a rating system for poker? We're bringing the chess playbook, which is, like, how good are you really? Not just can you buy the most chips, or can you use a bot, or can you steal the most money? Whatever it is, we've all played those games where you're playing for M and M's and someone's just, like, all in all the time and they just rebuy more M and M's. As people get used to, like, wait. I actually care about my poker rating. People are gonna care about it as much as money because it's a reflection of, like, the value and their skill as a player. I think this is gonna be quite an interesting, innovation for for poker. Hi, listeners. Welcome back to No Priors. Today, I'm here with Eric Alabest who bought the chess.com domain out of bankruptcy auction in 2005 for $55 when almost every investor told him it was an uninvestable niche passion project. Two decades later, he's built the dominant chess platform with more than 250,000,000 members, 200,000,000 a year in revenue, on a mission to get a billion people to play chess. It's a game that's more popular than ever despite computers outclassing humans at it for the last thirty years. We talk about what AI means for games, the future of chess.com, how to build a rating system for poker, and the future of human skills. Welcome, Eric. Eric, it's great to have you on No Priors. Welcome. Thank you so much for having me. So I'd love to just make sure our listeners have a little bit of the backstory of, chess.com and how you built this business. But, could you paint a little bit of a picture of just, you know, usage and both the company and the user base and product today first? Yeah. Sure. We are, we are much larger than I ever thought we would be. So it's kind of wild to say these numbers for me. We're about 10,000,000 daily active users, about 40 or 50,000,000 monthly active users. It's always a little slower in the summertime as people are, you know, in the in the Northern Hemisphere out and about. We have more than 250,000,000 registered members and more revenue than I thought we would end up with as a chess company, a little I think this year, we'll do a little over 200,000,000, which is frankly, again, surprising. We have about 650 people on …
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Books, tools, and gear mentioned in this episode
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Tools
“Neural net chess engines like Leela Chess Zero, which defeated rule-based Stockfish through self-reinforcing learning, made chess more tactically aggressive and exciting.”
“Neural net chess engines like Leela Chess Zero, which defeated rule-based Stockfish through self-reinforcing learning”
company
- chess.comBy guest
“Chess.com CEO Erik Allebest traces how a $56,000 domain purchase in 2005 became a 250-million-member platform generating $200M annually”
- Gambit.comBy guest
“Chess.com's expansion into poker via Gambit.com applies chess-style skill ratings to a money-driven game.”
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