San Francisco’s AI Engineers World’s Fair returned this June for its second year, drawing 3,000 attendees, up from 2,000 in 2024. The event expanded from 9 to 18 specialised tracks, but the most notable addition was “Tiny Teams” – a track dedicated to founders building multi-million-dollar businesses with skeleton crews.
Bolt.new’s keynote summed up the narrative. Eric Simons’ AI coding app reached $20 million in annual recurring revenue just two months after launch. For context, traditional SaaS companies typically take years to reach similar numbers. Other examples packed the Tiny Teams sessions. Sid Bendre’s four-person team at Alie hit $6 million ARR. Cal AI built a calorie tracking app to $12 million ARR with just four people. OpenArt reached the same revenue with eight people making AI image tools. Solvely.ai’s six-person team generates $4 million annually from AI homework help. Submagic’s 14 employees built a $7 million business in AI captions. Even at the larger end, Icon’s 16-person team hitting $5 million ARR in AI ad creation equates to over $300k per employee. These represent an increasingly new normal where team size and revenue have decoupled.
To put these numbers in context, traditional SaaS companies at similar revenue levels typically achieve $150k to $250k per employee. Even best-in-class public SaaS companies like Dropbox reach $800k per employee. Cal AI’s $3 million per employee and OpenArt’s $1.5 million per employee are significantly higher.
The 2025 conference track list also tells its own story about the industry’s evolution. Last year featured broad categories like “RAG Frameworks” and “Evaluations”. This year brought more precision: GraphRAG, Agent Reliability, SWE Agents, and Voice interfaces. The organisers announced they’d “killed the lazy RAG track everyone does”, replacing it with focused sessions on retrieval, search, and recommendation systems. New additions included the Model Context Protocol (MCP) track, underscoring the protocols continuing rise. Security got its own dedicated track, as did Product Management and Design Engineering. The “AI in the Fortune 500” track ran parallel to “Tiny Teams”, highlighting how established companies are responding to this new reality.
The organisers noted that this was the first such event that they’d run where security was needed in case anti-AI protesters made an appearance (as they did at the recent Microsoft Build conference). Perhaps an indication of things to come. What’s more immediately clear is that the fair has become the premier independent software engineering event globally, with AI as the central organising principle.
Takeaways: The 2025 AI Engineers World Fair documented small teams achieving revenue metrics that defy conventional wisdom. Two months to $20 million ARR isn’t an anomaly anymore. The proliferation of specialised tracks shows an industry moving from broad experimentation to focused execution. For business and tech professionals, the evidence is clear: tiny teams with AI leverage are competing directly with enterprises and winning.