No PriorsHow Chess.com Became the World’s Biggest Chess Community with CEO Erik Allebest
CHAPTERS
- 0:00 – 0:24
Chess.com’s boom cycles: COVID, Queen’s Gambit, and the 2023 youth surge
Erik describes how multiple cultural and news-driven waves—pandemic lockdowns, The Queen’s Gambit, and later short-form content plus viral moments—created lasting step-changes in Chess.com’s baseline usage. He explains the team’s initial skepticism that the growth would stick, and why the post-spike “new normal” surprised them.
- •COVID and The Queen’s Gambit created a massive adoption spike
- •2023 brought another wave driven by schools, short-form content, and viral events
- •Growth wasn’t a temporary fad; baseline engagement stayed much higher
- •Chess.com learned to manage spikes and subsequent plateaus
- 0:24 – 1:05
Why a poker rating system matters: bringing the chess ‘skill signal’ to Gambit
Sarah and Erik jump into poker ratings as a skill measure rather than a proxy for bankroll size or aggression. Erik outlines the product intuition: if players value a rating as identity and progress, it can reshape incentives and make play feel more meaningful than pure money outcomes.
- •Poker rating should reflect true skill, not ability to rebuy or bully pots
- •Chess ratings create a strong identity and progress loop
- •A meaningful rating can become as motivating as money
- •This framing underpins Chess.com’s poker product direction
- 1:05 – 2:55
What Chess.com looks like today: scale, revenue, team, and mission
Sarah introduces Erik’s origin story and Chess.com’s current magnitude, then Erik shares operating metrics and what the company optimizes for. He frames Chess.com as a mission-driven organization focused on members, growing chess, and being a great workplace.
- •~10M daily active users; ~40–50M monthly active users; 250M+ registered members
- •~$200M+ annual revenue; ~650-person fully remote team
- •Mission pillars: make members happy, grow the game, build a great workplace
- •Long-term ambition: reach 1B chess players
- 2:55 – 3:53
From a $56K bankruptcy domain to a product-led community
Erik explains how he and a friend bought Chess.com out of a bankruptcy auction and aimed to build a MySpace-like chess community. This chapter covers the earliest product vision: free-to-play, browser-based chess with a strong community layer.
- •Chess.com domain purchased in 2005 from a failed prior business
- •Initial vision: a social/community hub for chess
- •Founder roles: Erik on product; co-founder as CTO
- •Early emphasis on accessibility and community
- 3:53 – 6:29
Bootstrapping over venture: growing at the speed of cash
Erik recounts being turned away by VCs who saw chess as ‘uninvestable,’ leading to a bootstrapped strategy. He details how Chess.com reached profitability quickly via memberships and then scaled hiring and product investment as revenue expanded.
- •VCs dismissed chess as too niche; no fundraising succeeded
- •Launched in 2007; began charging for learning memberships within ~18 months
- •Profitability enabled incremental hiring and steady scaling
- •Bootstrapping shaped culture and reduced pressure for outside capital
- 6:29 – 9:12
Winning without patents: competition, Lichess coexistence, and UX as moat
Erik describes chess as a non-defensible category in the IP sense—anyone can build a chess app—so the competitive edge comes from product quality, community, and content. He explains how Chess.com differentiated over time and how it views Lichess as a complementary open-source pillar.
- •Early ecosystem included ICC, FICS, Yahoo! Chess; ‘chess industry’ barely existed
- •Relentless focus on user experience: free-to-play, browser-first, polished feel
- •Chess is not patentable; competition is constant and fragmented
- •Lichess as ‘Linux of chess’: important, open source, serving a different segment
- 9:12 – 12:00
When it became ‘a big business’: compounding waves and scaling pains
Erik pinpoints 2024 as the moment Chess.com fully internalized the permanence of its growth, after multiple surges that didn’t revert to prior baselines. He also shares the operational strain: infrastructure scaling, organizational maturity, and settling into a predictable growth rhythm.
- •Pre-2020 baseline: ~1M DAU; COVID-era surge initially feared as temporary
- •Post-2022 and 2023 spikes settled at a much higher baseline
- •‘White-knuckle’ period: scalability and reliability challenges
- •Now calmer: predictable growth, org maturity as a 650-person remote company
- 12:00 – 14:32
Chess becomes cool: shifting culture, identity, and who counts as a ‘chess player’
Erik reflects on chess’s cultural transformation from a stigmatized ‘nerd hobby’ to mainstream, celebrity-visible, and school-friendly. He credits product and content ecosystems for broadening the identity of chess players—celebrating beginners and mistakes, not only elite ratings.
- •Chess moved from niche/secret hobby to widely accepted and ‘cool’
- •Mainstream signals: fashion, celebrities, kids’ programs, social content
- •Chess.com helped redefine inclusion: everyone is a chess player at any rating
- •Community norms: celebrate blunders and learning journeys
- 14:32 – 17:34
Private equity, but mission-aligned: secondary deals with GA and CVC
Erik explains why Chess.com took outside investment after years of bootstrapping: primarily to provide liquidity via secondary transactions, not to fund operations. He contrasts negative PE stereotypes with his experience of mission alignment and long-term partnership with General Atlantic and later CVC.
- •Investments were secondary (liquidity), not primary capital for growth
- •Early small investors eventually needed exits, forcing larger-scale solutions
- •General Atlantic as first major institutional believer; later transition to CVC
- •CVC fit: deep experience in gaming/sports/community businesses
- 17:34 – 19:30
How investors changed operations: forecasting, reporting, and CEO evolution
Erik describes how PE involvement improved operational rigor rather than forcing short-termism. The chapter focuses on learning to run a larger company—forecasting, experimentation discipline, and growing into the CEO role at scale.
- •PE partners pushed operational excellence and product/community focus
- •Better reporting improved decision-making, not just investor updates
- •Knowledge-sharing from investors’ pattern recognition in adjacent industries
- •Leadership shift from small-team entrepreneurship to scaled management
- 19:30 – 25:09
Chess after superhuman computers: why the game thrives and how engines reshaped play
Sarah frames chess as a decades-long test case for human value after machines surpass us. Erik traces how engines first made top-level chess feel sterile, then neural-net approaches reintroduced creativity and expanded what humans learn and enjoy, including AI-driven coaching and puzzles.
- •Humans still want human competition and mastery, even with superhuman machines
- •Stockfish-era ‘perfection’ temporarily pushed play toward boring lines
- •Neural nets (e.g., Leela) brought unconventional, aggressive ideas
- •AI improves learning: game review, coaching, personalization, puzzle generation
- 25:09 – 28:40
Learning faster—but not equally: habits, repetition, and skill distribution
Erik explains why universal access to information doesn’t equalize performance: improvement comes from reps, feedback, and compounding habits. He connects AI tools to accelerated learning while warning about complacency and the need for guardrails to keep humans thinking.
- •Expertise is built through repeated practice of fundamentals
- •Small daily habits compound massively over time
- •AI can act like ‘a professor in your pocket’ for deep exploration
- •Risks: overreliance can reduce independent thinking; guardrails matter
- 28:40 – 31:20
Cheating in the AI era: detection, integrity, and protecting competition
Erik addresses cheating as both a human behavior problem and a technical arms race, emphasizing Chess.com’s extensive anti-cheat investment. He distinguishes between broad anti-cheat systems for everyday play and heightened safeguards for prize-money and professional events.
- •Cheating predates modern AI; engines made it a persistent online threat
- •Chess.com uses large-scale behavioral/statistical and ML approaches to detect anomalies
- •Two workstreams: general platform integrity vs. high-stakes event enforcement
- •Goal: deter, catch, ban, and educate—acknowledging prevention is imperfect
- 31:20 – 33:17
Why chess endures: timeless rules, shared culture, and ‘classic’ scarcity in an infinite world
Erik argues chess stands out amid exploding content and game creation because it offers a stable, luck-free, shared experience with simple rules and deep complexity. He compares chess to musical classics—something people can rally around when everything else becomes abundant and fragmented.
- •No loot boxes, skins, or shifting rules—chess is stable across generations
- •Perfect-information, low-luck design highlights skill and learning
- •Simple entry point yet enormous depth creates lasting fascination
- •In a world of infinite novelty, classics gain value as shared reference points
- 33:17 – 46:07
Chess.com’s future: expanding beyond chess, founder advice, AGI views, and AI product bets
Erik reframes Chess.com as a ‘chess company’ that naturally spans gaming, education, content, and social, while also experimenting with other classic games like poker (Gambit). He closes with contrarian founder advice, thoughts on AGI/ASI and societal guardrails, and practical AI investments—from internal knowledge systems to AI coaching and personalized improvement plans—before returning to poker rating design considerations.
- •Business identity: chess-first, but inherently gaming + content + social + learning
- •New initiatives: Gambit poker ‘ratings-first’ and future classic games expansion
- •Founder advice: ignore formulaic playbooks; build what you want to exist with minimal resources
- •AGI/ASI: optimistic with guardrails; concerns about inequity and governance
- •AI at Chess.com: support automation, analytics, internal knowledge/auth layer, faster dev cycles, AI coach and personalized training
- •Poker ratings: incorporate opponent strength, chips won, hands played; rating aims to become a core motivator
