These children between the ages of 20 and 22 are 5 million dollars from YC, General Catalyst to study online behavior using Vision AI

Amog Chaturvedi He runs a little sleep, but a lot of condemnation at 6 am, and he apologized for resluing, and he is still reeling from intimidating a family member and electric scooter.

Within a few minutes, though, the 20 -year -old Stanford Estop is settling in focus, and he walked to me by how he and his participating founders sold one startup in 19, fell at Y Combinator, and raised $ 5 million for their next company, Human behavior.

It was launched just a few months ago, human behavior is betting that Vision AI can do what is fighting analysis tools such as Mixpanel and Posthog: Give companies a real understanding of how people use their products, including the reason for their conversion or revenge.

Instead of relying on manually tagged events or Clickstream data, human behavior claims that AI monitors the real user session restarting and creating visions, and answering the questions of the most urgent products teams without hours of the tool code.

The four -month -old YC started starting the 5 million -dollar seed round in just two days (which has become a standard for current YC companies), with supporters including General Catalyst, Paul Graham, Vercel Ventures and Y Combinator.

“We could have done the financial engineering game because we got more high assessment offers, but we did not want it,” said CEO.

Chatorphdei met his founders, Skiller G and Chirag KawediyaBoth 22, at Hacker’s house organized in 2023 as an excuse to live and build with friends after his first year in Stanford.

The first start starting them, the dough, was an electronic commercial accounting tool that they paved. Like Chaturvedi, Ji came out of the college (leaving Berkeley) while Kawediya continued to graduate.

Although YC was initially skeptical about the dough market capabilities, the team was accepted in the spring batch of the speed this year to the assumption that it would eventually prohibit it, says Chatorphdey. They did it almost immediately, after talking to each customer and inquiring about any other problems they faced.

The comments were consistent: While the dough could show the products they were selling or not, customers wanted to know the reason. The answer is that the required analyzes are supported by behavioral data, not just accounting reports.

With this new trend, the team sold the dough for six numbers to the employer, The same company that bought a seatAnd everyone went in human behavior.

Kawediya explains that companies that use traditional analyzes often need engineers to prepare juvenile tracking devices for each button and click, burning hours, and sometimes weeks, from the time of engineering.

To start a fast movement, this is far from the ideal. “Even once you get this data, you are still stuck with the biggest question about how users actually interact with your product so that you can improve it,” he says.

The re -session operations were not new, but until recently, computer vision models were not accurate enough to analyze them on a large scale. They are now, and human behavior does this to summarize and retail thousands of hours of shots. “Why do you spend hours writing code to track the clicks when we can only watch the video?” Ji adds.

Today, human behavior agents-most of them are startups A and B and B-gets a daily brief email messages that highlight the features that have been used, which have appeared errors, and any users who operated it. Since its launch four months ago, Chaturvedi says the company has been growing by 20 % months.

The founders re -call the founders of the founders, “the non -exploited gold mine”. At the present time, human behavior helps the difference to understand users and drink. Over time, the data set itself can run automatic quality guarantee and support the included information technology. Their ambition is to make human behavior to restore the course, and dozens of products come out of the same basic data.

Building new technology from A to Z is how the founders believe that they will face more firm players such as MIXPanel and Posthog. “For some of these companies, it may be difficult to repeat what we have because their architecture cannot support the transformation without starting again,” noted the Chatorphdei.