Grant Lee: Building Gamma’s AI Presentation Company to 100 Million Users
Grant Lee, co-founder of Gamma, shares the journey of building a presentation tool to 100 million users and $100M ARR. He discusses the strategy of being 'different, not just better' than incumbents like Microsoft and Google, the importance of starting with a strong product thesis before integrating AI, and the disciplined 'hire painfully slowly' approach that allowed a small team to achieve massive organic growth.
Grant Lee, co-founder of Gamma, recounts the journey of building an AI-native presentation tool that challenged massive incumbents like Microsoft and Google. Despite early rejections—including an investor calling it “the worst idea I’ve ever heard” and hanging up mid-pitch—the experience instilled a crucial lesson: product and growth must be deeply intertwined from the very beginning for a challenger to succeed in a dominated market.
Product Philosophy: Better to be Different than Better
The core of Gamma’s strategy was not to create an incrementally better version of existing slideware but to be fundamentally different. The team recognized the limitations of the traditional “16x9 prison” and aimed to build a new set of primitives for visual communication.
“It’s better to be different than better. For us, we wanted to be fundamentally different… what are the different set of primitives or building blocks that aren’t 16x9 slides that allows the average person that doesn’t have design skills… to be able to create content super fast.”
This new medium was designed to be:
- Malleable and Responsive: Content adapts to any screen, behaving like a modern website.
- Multimedia-Rich: Users can embed interactive elements, from websites to applications, directly into their presentations.
- Interactive: It supports “progressive disclosure,” allowing presenters to guide an audience or let asynchronous viewers “choose their own adventure.”
Integrating AI: From Augmentation to Agent
Gamma started pre-AI with a clear thesis on what the building blocks of modern presentations should be. This foundation proved crucial. When powerful AI models became available, they were a “great gift” that accelerated the vision rather than defining it. This prevented the team from falling into the trap of simply waiting for frontier models to improve and instead focus on the user experience.
The evolution of AI in Gamma can be seen in stages:
- 1.0 - The “One-Button Era”: Recognizing that most users are still new to AI, the initial approach was to make it simple and accessible, much like the one-button mouse made computing approachable. The focus was on empathy for the user’s current state.
- 2.0 - Early Adopters: The product was mature enough to attract early adopters who provided crucial feedback and feature requests, helping to flesh out the roadmap.
- 3.0 - Crossing the Chasm: The launch of Gamma 3.0, including the AI Agent, represented the move to the mass market. The Agent acts as a “design partner,” helping users refine their narrative, structure their thoughts, and make design changes, moving Gamma closer to an end-to-end creation tool.
Gamma’s defensibility lies not in a single model but in orchestrating multiple specialized models (text, image, video, audio) within a purpose-built workflow for visual storytelling.
The Growth Engine: Word of Mouth and User Love
Gamma achieved massive scale—from 60,000 signups in eight months to 50,000 per day—without spending on advertising. The key was an obsessive focus on word of mouth.
After an initial launch that saw a spike followed by a plateau, the team realized their core growth engine was broken. They paused everything else and spent four months focused on a single goal: nailing the first 30 seconds of the product experience. This effort to ensure every new user experienced an “aha” moment was the catalyst for explosive, organic virality.
This bottoms-up user love created powerful local network effects within organizations. As more employees used Gamma, it became an internal standard, a shared language for communication that new employees were taught by their peers.
Company Building: Hire Painfully Slowly
Contrasting with the “grow-at-all-costs” mentality of the 2020-2021 era, Gamma adopted a mantra of “hire painfully slowly.” The goal was never to hit a hiring target, but to maintain an incredibly high bar for talent.
- The MVP Crew: The initial team of seven was a self-sufficient “MVP crew” capable of building, designing, marketing, and selling the product end-to-end. This allowed for incredible speed and agility.
- Design as a Priority: The first hire was a Head of Design, and for a long time, designers made up 25% of the team. This investment was critical for inventing new user experiences and defining the product’s “taste.”
- Founder-Led Functions: Lee emphasizes the importance of “founder marketing” and doing the job yourself before hiring for it. He personally onboarded every influencer in the early days to deeply understand the nuances of the role, which allowed him to later hire people who could truly uplevel the function.
This disciplined approach ensured that the company’s core DNA of quality and user focus could be replicated as the team grew.