These 20- and 22-year-old children collected $ 5 million from YC, General Catalist to study online behavior using Vision AI

by SkillAiNest

Amog Chitravidi Running on a little sleep but is quite convicted at 6 in the morning, he is scandalous, apologizes for re -schedule, and is still turning away from the recent fear of a family member and electric scooter.

However, in a few minutes, the 20 -year -old Stanford came into the drop -out focus, and walking me about how he and his co -founders sold a startup 19, landed in Y Combayner, and collected Million 5 million for his next company, Human behavior.

Launched a few months ago, the human behavior is betting that the vision AI can do what the analyst’s tools such as the Macper and Post Thing have struggled: give companies a real understanding of how people use their products, including why they change or shift.

Instead of relying on manually tagged events or click stream data, human behavior claims that its AI -actual user session session session replays and creates insights, in which product teams answer most pressing questions without hours of code.

The 4 -month -old YC Startup closed its $ 5 million seed round in just two days (which is becoming a routine for current VC companies), including General Catalist, Paul Graham, Versal Ventures, and Wi -Combatinists.

The CEO said, “We could play financial engineering because we got more offerings with high prices, but we didn’t want it.”

Human behavior
LR: Amog Chaturvedi (CEO), Chirag Cadia (COO), Scaler G (CTO)Image Credit:Human behavior

Chattroidi met his co -founders, Skyler g And Chirag KadiaBoth, in the hacker house, they organized 2023 as an excuse to live and make with friends in Stanford after their New Year in Stanford.

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Their first start, flour, an e -commerce accounting tool they used to bootstrapped. Like Chiturvedi, G. also went out of college (except Burkeley) when Cadia graduated.

Although initially the YC flour market was skeptical about the market capacity, this year the team was admitted to the Excelor’s Spring Beach on the assumption that they would eventually be axed. They encountered every customer after talking about any other problems.

The impression was permanent: While the dough could show what products were selling or not, consumers wanted to know what was the reason. Answering that not just accounting reports, it requires an analysis of behavior data.

With this new direction, the team sold the flour to Emperor.com for six figures, the same company, which bought the bench, and went completely on humanitarian treatment.

Codia explains that companies using traditional analytics often need engineers to set the event tracker for each button and click on engineering time, sometimes weeks, burning, burning hours,.

For a rapid start, this is far from the ideal. He says, “Even once you have these figures, you are still stuck with this big question on how consumers really interact with your product so you can improve it.”

The sessions replay are not new, but yet, the computer vision models were not accurate to be analyzed on a scale. Now they are, and human behavior is doing so to summarize and distribute the footage of thousands of hours. “Why do we spend hours in writing code to track clicks when we can just watch the video?” Yes, he added.

Today, users of humanitarian behavior-more rapidly moving series A and B Startup-Daily Summary emails, highlighting which features were used, which insects appeared, and which users shared.

The founders re -sent the call session to a “unused gold mine”. Right now, human behavior helps teams understand consumers and squash bugs. Over time, the same datastate can strengthen the automatic QA and embed the IT support. Their ambitions are to make human behavior a session replay data -to -the -data, with the same basic data rotate dozens of products.

The construction of new technology from the ground -up is that the founders believe they will compete with more players like Macspen and Post Tog. “For some of these companies, it can be difficult to create a copy of what we have because their architecture cannot support the shift without starting.”

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