SaaStr 867: $0 to $500M ARR in 13 Months. Inside Higgsfield's Viral AI Growth with Alex Mashrabov, co-founder and CEO artwork

SaaStr 867: $0 to $500M ARR in 13 Months. Inside Higgsfield's Viral AI Growth with Alex Mashrabov, co-founder and CEO

The Official SaaStr Podcast: SaaS | Founders | Investors

July 10, 2026

SaaStr 867: $0 to $500M ARR in 13 Months. Inside Higgsfield's Viral AI Growth with Alex Mashrabov, co-founder and CEO Most companies take years to get to $10M ARR. Higgsfield got there in eight weeks, then kept going. In 11 months they crossed $300M with 120 people and no traditional sales team.
Speakers: Jason Lemkin, Alex Mashrabov
**Jason Lemkin** (0:00)
What would it cost for me to build a video without skills and people? I mean, infinity. I'd have to hire an agency. It would come back two weeks later. It would be terrible. They would charge me thousands of dollars, and I would delete it because I would never use it. Instead, I can do this in 60 seconds. And so, it's a visceral example that Alex is able to get five times the ACB of Canva, even though Canva is mass scale, by having an agentic workflow that replaces humans. And honestly, for me, it replaces contractor and agency. I don't have the patience to hire anyway, right? Rather than just be helping me create an asset manually. Hi, everybody. Special guest moderator, me.
I think Alex is gonna join.
We're gonna have some fun. So Alex is co-founder of one of the most explosive video marketing and other apps, Higgsfield. You guys should use it. So Higgsfield AI, while you're on site, use it. And it's changed a lot. But if you look at any of the SaaStr videos that I create, if you watch the agents, the intro of me and Amelia, it's all built on Higgsfield. And I've been using Higgsfield, basically, I think since it launched or something like that, right? For all of our stuff. Close, right?

**Alex Mashrabov** (1:12)
Yeah. I mean, and that means a lot to us. I think it was August, September.
It was the first time when we started to evolve just from like, kind of pure social media play to professional creation tooling. Yeah. And you were the first to spot us.

**Jason Lemkin** (1:27)
So I love it. I use it all the time.
If we have time, we can even log in to my account. I can show you all the stuff we're building. But for all of us just trying to learn, I mean, and I'm going to ask a lot of questions. Alex is going to present and I'm going to pamper a few questions. Now they're 300 million in a year, 15 months or how quickly?

**Alex Mashrabov** (1:47)
Yes. It took us maybe 11 months to get to 300 Now it's bigger than that.

**Jason Lemkin** (1:52)
Pretty good, right? So Alex is going to explain to it and where they're going. Like we hear these stories, you know, how did Higgsfield and Lovable and Repelit get to hundreds of millions in months? And now actually someone's going to be honest and tell us the real story behind the story. I'll pamper with some questions. So I'll hand it off to Alex. But I'm a super fan. And if you guys watch any of our little short videos, it's all built on Higgsfield.

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**Alex Mashrabov** (2:47)
Absolutely. This is a great honor for me to present here. So let me maybe briefly overview our journey in numbers. We are excited about a new wave of AI native video creation for social media.
First and foremost, social media is relatively new. It has been around for 15 years, and last five years it has become the largest media in the world. We are seeing numerous direct-to-consumer companies who actually make hundreds of millions or billions of dollars of sales by leveraging social media as a distribution channel and using platforms like Higgsfield for content production. And this is exactly the reason why we are growing so quickly. As we are addressing this massive demand in the markets to make content for social media every day and build a brand and sell products on social media.
So we were the first to maybe introduce camera controls. And camera controls are extremely important for professional creative directors.
We were really surprised that it took off so quickly. And within just in like maybe five, six weeks, we got to 10 million ARR. And then in August, September and October, we realized that adoption goes beyond just individual creators. And since October, the priority is to make sure that creative teams can work together to make videos very efficiently. So let me give you a few numbers. So for example, this in a week, we are going to present full feature movie in CAN. And we are doing that to showcase the possibility and opportunities unlocked with video AI. So roughly, it took a team of 10 and maybe three weeks to accomplish that. So the efficiency gains are in parallels. And that applies both to long form and the short form CAN and creation.

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