What Chess.com Teaches US About Superhuman Capabilities, with CEO Erik Allebest

Summary

Erik Allebest tells the origin story of Chess.com as a bootstrapped, product-led company that started with a $56,000 bankruptcy-auction domain purchase and grew by reinvesting cash rather than raising venture capital. He says the business is now at roughly 10 million daily active users, 40-50 million monthly active users, more than 250 million registered members, about 650 employees, and a little over $200 million in annual revenue. The company benefited from multiple demand shocks, including COVID, The Queen’s Gambit, short-form content, the Mittens bot, and the cheating scandal, each of which permanently lifted the baseline. Allebest emphasizes that chess is unusually durable because it is simple to start, deep to master, and timeless as a full-information game with no luck, loot boxes, or rule churn. He also lays out Chess.com’s use of AI across support, analytics, internal knowledge, development, product research, coaching, and anti-cheating, while arguing the main long-term AI risk is societal and governance-related rather than purely technical.

Notes

• Chess.com’s recent growth came in multiple waves, not one viral spike.
• Allebest frames Chess.com as a compounding consumer internet business that retained a higher post-spike baseline.
• Chess.com now claims roughly 10 million daily active users, 40-50 million monthly active users, more than 250 million registered members, about 650 employees, and a little over $200 million in annual revenue.
• The company began with a domain purchase at a bankruptcy auction rather than a startup incorporation.
• Venture investors mostly rejected the idea, so he and a cofounder built with no outside money and grew at the speed of cash.
• Chess.com reached profitability quickly after launch by charging for online chess learning memberships.
• The company’s early advantage was obsessive focus on UX, free-to-play browser access, and community content.
• Lichess is described as an open-source complement, not an existential competitor.
• Chess’s market structure is unusually fragmented because the game is not patentable and has thousands of competing apps and sites.
• Allebest says the company only fully internalized Chess.com’s long-term scale in 2024.
• Chess and cultural relevance expanded from a niche hobby to a broadly cool activity across kids, athletes, fashion, and celebrities.
• Chess.com helped broaden the definition of a chess player to include beginners and lower-rated users.
• General Atlantic and CVC entered later as secondary investors, not primary capital providers.
• Those investors added operational discipline, forecasting, and product judgment rather than just pressure to work harder.
• Computers initially made chess more boring through perfect engine play, then more exciting again through neural nets and coaching tools.
• AI and ubiquitous information tools are accelerating learning, especially for younger players and creators.
• Skill still comes from repetition: puzzles, review, openings, and practice cannot be skipped.
• Cheating is treated as an existential integrity problem, addressed with data, statistical models, and machine learning.
• Chess remains special because it is timeless, has fixed rules, and lacks loot-box style churn or luck.
• Chess.com still describes itself primarily as a chess company, but it has begun expanding into poker with Gambit.
• Allebest’s founder advice is to ignore startup orthodoxy when conviction and resource constraints point elsewhere.
• Allebest is optimistic about superhuman intelligence, but thinks the bigger risk is cultural and governance related.
• Chess.com uses AI broadly across support, analytics, knowledge management, martech, development, and product research.
• Chess.com built an internal authentication and knowledge layer called gns across the organization.
• The team is also building its own martech stack to integrate more deeply with users and data.
• AI is being used to compress the time from problem discovery to shipping code.
• Chess.com is using AI to surface aggregated stats and compare users to peers and near-peers.
• Chess.com is prototyping an AI coach that can sit in a user’s pocket and offer on-demand help.
• The AI coach concept includes interactive review of the prior week’s games and chat-style feedback.
• Poker ratings are still being tuned around opponent strength, chips won, hands played, and stakes.
• Allebest thinks people may eventually value poker rating as much as money because it measures skill.
• Sarah Guo argues that machine capability does not erase human demand for skill or exceptional performance.