The software industry is shifting from a decade of unbundling SaaS tools back to bundled, all-in-one platforms, a trend accelerated by AI and macroeconomic pressures.
The ultimate goal of AI in knowledge work is to create agents that can perform tasks autonomously, which requires consolidating fragmented tools and data contexts into a single system like Notion.
Building a company should prioritize high "talent density" and revenue per employee over headcount. Key hires like the first salesperson or product manager should be delayed until the business has proven significant organic traction.
Software products are subject to entropy and naturally degrade over time. Maintaining a high level of product craft is a constant battle that must be balanced with business utility, as aiming for perfection can be counterproductive.
The advent of capable large language models is as revolutionary as the invention of personal computing, fundamentally changing the nature of SaaS from selling tools to selling automated work itself.
2013
Founds Notion, beginning what he calls the "lost years" of struggling to find product-market fit with an initial concept for a developer tool.
Pre-2018
Experiences a major setback, laying off the entire team to become a two-person company. He and co-founder Simon Last move to Japan to lower costs and restart the codebase after a failed bet on an unstable technology.
COVID-19 Pandemic
Faces an existential technical crisis as Notion's single database instance nears capacity. The company halts all feature development to assign nearly every engineer to implement database sharding, narrowly avoiding a total service shutdown.
Post-$10M ARR
Crosses a significant business milestone by hiring the company's first salesperson only after achieving substantial organic revenue growth.
Late 2022
Gains early access to GPT-4, leading to a rapid, week-and-a-half development sprint that resulted in the launch of Notion's first AI product a month before the public release of ChatGPT.
Present
Focuses on expanding Notion's product suite into billion-user categories like email and calendar, while also expanding its enterprise sales footprint with new offices in Europe.
▶The 'Lost Years' and Corporate ResilienceApr 2026
Zhao frequently recounts Notion's early struggles, including a four-year search for product-market fit, laying off the entire team, moving to Japan to save money, and a near-catastrophic database failure during the pandemic. This narrative emphasizes perseverance and the ability to survive existential threats through focused engineering and lean operations.
This history of resilience suggests a corporate culture that is likely well-prepared for market volatility and technical crises, prioritizing survival and long-term vision over short-term growth at all costs.
▶AI-Driven Rebundling of SaaSApr 2026
Zhao posits that the software market is at the end of an "unbundling" cycle and is now shifting back toward consolidated platforms, with AI as the catalyst. He argues that for AI agents to perform complex knowledge work, they need access to unified data and tools, which is the strategic problem Notion aims to solve.
This positions Notion not just as a competitor to individual productivity apps, but as a foundational layer for the next generation of AI-native work, making its platform's breadth a key strategic asset.
▶Pragmatic Philosophy of Product CraftJun 2026
Zhao holds a nuanced view on product development, acknowledging that software naturally degrades over time due to entropy. He rates his own product a 7/10 for craft, believing that striving for a perfect 10 would be detrimental to the business and its utility, indicating a conscious trade-off between perfection and practical value.
Investors should note that while Notion values design, its leadership prioritizes business metrics and broad utility over achieving the highest possible level of aesthetic or engineering purity, which could accelerate market expansion.
▶The Shift from Selling Tools to Selling Work
According to Zhao, the most significant impact of AI is the transition of SaaS companies from being tool providers to being work providers. He illustrates this with his co-founder managing AI coding agents instead of writing code himself, framing Notion's future as a platform that delivers automated outcomes, not just a workspace.
This signals a fundamental business model evolution. Analysts should evaluate Notion's ability to price its services based on outcomes and work performed by AI, rather than traditional per-seat licensing.