Amog Chaturvedi Walking a little sleep, but there is a lot of belief at 6 in the morning, he apologizes for re -radiation, and is still afraid of a family member and an electric scooter recently.
Within a few minutes, however, 20-year-old Stanford Dropout focuses in the focus, how he and his co-founders sold a startup at 19, landed into a combinator, and collected $ 5 million for their next company, and collected $ 5 million for their next company, Human behavior,
Launched a few months ago, human behavior is betting on what Vision AI can do that analytics tools such as mixpanels and posthogs have struggled: Companies give companies a real understanding of how people use their products, in which they change or churn.
Instead of manually relying on tagged events or clickstream data, human behavior claims that its AI looks at the real user session and generates insight, the product answers the most pressure questions of the teams, without instrumenting code.
The four -month -old YC startup shut down its $ 5 million seed round in just two days (which is becoming an ideal for the current YC companies), including the Backers including General Cattlelist, Paul Graham, Versel Ventures and Y Combinator.
The CEO said, “We could have done financial engineering games because we got more proposals with high evaluation, but we did not want so.”
Chaturvedi met his co-founders, Skyler And Chirag KavediaAt both 22, a hacker house, he held the excuse of living and building with friends after his new year in Stanford in 2023.
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His first startup, flour, an e-commerce accounting tool he bootted. Like Chaturvedi, Zee got out of college (except Berkeley) while Cavedia went on graduation.
Although the YC initially suspected the market capacity of the dough, the team was admitted to the excreta batch of the accelerator this year, on the perception that they would eventually piwt, say Chaturvedi. After talking to every customer and inquiring about any other problems, he did so immediately.
The response was consistent: While the dough could show which products were selling or not, the customers wanted to know why. Responding to the required analytics, which is powered by behavior data, not only accounting reports.
Along with this new direction, the team sold the dough for six figures, which is the same company, which buys benches, and all-in on human behavior.
Cavedia states that companies using traditional analytics often require engineers to install an event trackers for every button, for the time of engineer.
For fast -moving startups, it is far from the ideal. “Even once you have that data, you are still stuck with a big question that users actually interact with your product so that you can make it better,” they say.
The sessions are not new, but recently, the computer vision models were not sufficient enough to pass them on a scale. Now they are, and human behavior is to summarize and divide thousands of hours of footage. “Why do we spend hours to write code to track click when we can only watch videos?” Gants adds.
Today, the customer of human behavior-mostly rapidly growing series A and B startups-diner emails that highlighting which features were used, which are without visible, and which user churning. Since launching four months ago, Chaturvedi says the company is growing 20% ​​month and month.
Founder call sessions reply to a “unaccounted goldmine”. Right now, human behavior helps teams understand users and squash bugs. Over time, the same dataset can power automated QA and embedded IT support. Their ambition is to make human behavior a datedog of session replay, spinning dozens of products with the same core data.
Construction with new technology from the ground is that founders believe that they will take more established players such as mixpanels and posthogs. “For some of these companies, it can be difficult to repeat what we have because their architecture cannot support the change without starting,” Chaturvedi commented.
