Emergent Founder Mukun on Democratizing Software with AI

Moderator: What motivated you to start Emergent?

Mukun: The mission was simple—democratize coding for everyone. We built a chat‑based platform where users can design, host, deploy, and maintain software without writing a single line of code. In just nine months we hit over $100 million in annualized revenue, with 8.5 million users building 10 million apps across 190 countries. Most of the revenue comes from the US and Europe, while India contributes about 10 percent.

Technical Strategy

Moderator: How does the technology behind Emergent work?

Mukun: At the core is a swarm of specialized AI agents—testing, design, and others—coordinated through a massive, self‑learning memory system. We use custom container technology that snapshots disk and memory, letting multiple agents operate on the same state. The platform continuously performs reinforcement learning and fine‑tuning on data generated by every new app, ensuring the agents improve with each build.

We also rewrite the entire system three times in nine months to stay aligned with the rapid evolution of AI models. This iterative approach lets us incorporate the latest capabilities as they become available.

Strategic Philosophy

Moderator: You often talk about “living at the edge.” What does that mean for Emergent?

Mukun: It means building for capabilities that aren’t fully possible yet but are projected to be. By targeting the edge of what AI can do, we discover problems early—before other ecosystems even notice them. We benchmark rigorously, using tools like SWE‑bench, to focus the team on the most impactful challenges.

Rather than chasing prototypes, we aim for a second‑mover advantage by “finishing” software—delivering real back‑ends and databases. That differentiates us from competitors who stop at front‑end demos.

Lessons from Dunzo

Moderator: Your previous venture, Dunzo, was a logistics powerhouse. What did you carry over?

Mukun: Dunzo taught us the importance of solving hard problems and developing deep customer empathy. We learned to double down on what works and avoid early diversification. “Doing things that don’t scale” helped us understand pain points intimately, a mindset we apply to Emergent’s growth engine and product decisions.

Global Ambition from India

Moderator: How does building a global AI company from Bangalore compare to a local Indian startup?

Mukun: Building for India versus building a global company requires the same effort. Our team is 95 percent based in Bangalore with a small office in San Francisco, yet we serve users in 190 countries. The scale is global, but the operational rigor and focus remain rooted in the lessons we learned from Indian logistics and rapid execution.

Vision

Mukun: “If you remove all the software companies from NASDAQ and S&P, you’ll see it’s been just a flat line.” There are a billion people with ideas, but many ideas die because people lack the means to bring them to life. By removing that barrier, Emergent aims to attack the ceiling, not the floor, and let anyone turn an idea into a functional product.