Gaurav Misra

We're all moving towards it. And we'll see those models getting better and better, especially on the video side. I could easily see within a year and a half or so something coming pretty close to like indistinguishable, essentially from like a real recording, maybe even sooner. That's not like the worst case.

We're all moving towards it. And we'll see those models getting better and better, especially on the video side. I could easily see within a year and a half or so something coming pretty close to like indistinguishable, essentially from like a real recording, maybe even sooner. That's not like the worst case.

It has been a pretty interesting journey and like we've been through some interesting twists and turns through it. But I think if you like connect the dots end to end, it's interesting. When we started the company, the first app that we made was captions. We launched it. And why did we make it? The goal was to get content creators to create content on a video creation platform of some sort.

It has been a pretty interesting journey and like we've been through some interesting twists and turns through it. But I think if you like connect the dots end to end, it's interesting. When we started the company, the first app that we made was captions. We launched it. And why did we make it? The goal was to get content creators to create content on a video creation platform of some sort.

Not easy. I was at Snap before this and Snap had tried this many times. They launched apps and I mean, video is kind of a commodity. Video editors are commodities. A lot of these companies are actually foreign. And that's because we're just trying to minimize costs at this point and really difficult to compete in.

Not easy. I was at Snap before this and Snap had tried this many times. They launched apps and I mean, video is kind of a commodity. Video editors are commodities. A lot of these companies are actually foreign. And that's because we're just trying to minimize costs at this point and really difficult to compete in.

Our thought was the way we're going to crack this is we're going to use AI to help create video somehow. That's going to be our differentiator. That's why people are going to come to us. And so we saw that there was a need around speech to text. It was a technology, by the way, at that point, that was pretty good.

Our thought was the way we're going to crack this is we're going to use AI to help create video somehow. That's going to be our differentiator. That's why people are going to come to us. And so we saw that there was a need around speech to text. It was a technology, by the way, at that point, that was pretty good.

In text circles, people were like, of course, speech to text, we understand that it's pretty good at this point. But I think the average person actually didn't understand how good the tech had gotten and how accurate it was with names and like obscure terminology and all kinds of stuff. So when we built the first product where it was just like, hey, it's just literally put text on the videos.

In text circles, people were like, of course, speech to text, we understand that it's pretty good at this point. But I think the average person actually didn't understand how good the tech had gotten and how accurate it was with names and like obscure terminology and all kinds of stuff. So when we built the first product where it was just like, hey, it's just literally put text on the videos.

And by the way, this was built in like two days on a weekend, really just bandaid together. And we put it on the app store, went to sleep. The next morning it was top of the app store. There's no explanation. We didn't do anything to make that happen. Somebody saw it. They posted it on something. It blew up and then woke up and I text Dwight.

And by the way, this was built in like two days on a weekend, really just bandaid together. And we put it on the app store, went to sleep. The next morning it was top of the app store. There's no explanation. We didn't do anything to make that happen. Somebody saw it. They posted it on something. It blew up and then woke up and I text Dwight.

I'm like, hey, I think there's like 600 videos per minute being created on the app, by the way. And so that was kind of like an instant success. But even in that two days of work, we had already instrumented the app in such a way that we would be able to continue training better and better models so that we can deliver better value to the user.

I'm like, hey, I think there's like 600 videos per minute being created on the app, by the way. And so that was kind of like an instant success. But even in that two days of work, we had already instrumented the app in such a way that we would be able to continue training better and better models so that we can deliver better value to the user.

So the idea was like, the app is an AI app where people come in, they use the app, we use the data to make the model better and deliver even better experiences the next time the person comes back. That was done from day one, literally. That was the original plan. Now, post the launch of the app, we've added so many more features over time, expanded the offering so much more.

So the idea was like, the app is an AI app where people come in, they use the app, we use the data to make the model better and deliver even better experiences the next time the person comes back. That was done from day one, literally. That was the original plan. Now, post the launch of the app, we've added so many more features over time, expanded the offering so much more.

And we cover now the entire space of everything from like script writing to recording to video editing, distribution as well. and how AI can like transform each of these different areas, because there's applications in all of them. And there's data that can be collected across all of those that can improve those models.

And we cover now the entire space of everything from like script writing to recording to video editing, distribution as well. and how AI can like transform each of these different areas, because there's applications in all of them. And there's data that can be collected across all of those that can improve those models.

And that's what makes our offering really unique, because all the other companies are not really thinking about the data collection side and just generating outputs. And that's why they have to kind of scrape the internet to make their models better. And for us, really, it's more about growing a user base so that the data can actually power better and better models.

And that's what makes our offering really unique, because all the other companies are not really thinking about the data collection side and just generating outputs. And that's why they have to kind of scrape the internet to make their models better. And for us, really, it's more about growing a user base so that the data can actually power better and better models.