Young Founders Raise $5M to Decode Online Behavior with Vision AI
▼ Summary
– Amogh Chaturvedi, a 20-year-old Stanford dropout, co-founded Human Behavior after selling his previous startup and raising $5 million in seed funding from backers including General Catalyst and Y Combinator.
– Human Behavior uses vision AI to analyze user session replays, providing insights into product usage, conversion, and churn without requiring manual event tracking or code instrumentation.
– The startup pivoted from their initial e-commerce accounting tool, Dough, after customer feedback revealed a need for behavioral analytics rather than just sales data.
– Human Behavior targets fast-moving startups by offering daily summaries of feature usage, bug reports, and churn analysis, aiming to become the “Datadog of session replay.”
– The founders believe their ground-up use of new AI technology gives them an edge over established analytics companies like Mixpanel and PostHog.
Understanding how users truly interact with digital products remains one of the most persistent challenges for modern businesses. While traditional analytics tools offer valuable data, they often fall short of revealing the full story behind user behavior. A new startup founded by three young entrepreneurs believes it has found a more intuitive and powerful solution through the use of vision AI.
Amogh Chaturvedi, the 20-year-old CEO of Human Behavior, recently shared the journey behind his company’s rapid rise. Despite a lack of sleep and a hectic schedule, his enthusiasm is unmistakable. Alongside co-founders Skyler Ji and Chirag Kawediya, both 22, Chaturvedi has already sold one startup and successfully raised $5 million in seed funding in just two days. Their backers include prominent names like General Catalyst, Paul Graham, and Y Combinator, which accepted them into its spring batch earlier this year.
The trio first connected at a hacker house organized by Chaturvedi in 2023. Their initial venture, Dough, was a bootstrapped e-commerce accounting tool. Though Y Combinator expressed doubts about Dough’s market fit, the team was admitted with the understanding that they might pivot, which they did almost immediately. After gathering feedback from customers, they realized a deeper need: businesses didn’t just want to know what was selling; they wanted to understand why.
This insight led to the creation of Human Behavior, which uses vision AI to analyze session replays and generate actionable insights without requiring extensive manual coding. Unlike conventional tools that rely on clickstream data or pre-tagged events, their platform watches real user interactions and answers critical questions about engagement, conversion, and churn.
Kawediya, who serves as COO, points out that traditional analytics often demand significant engineering resources. “Teams spend weeks instrumenting code just to track basic interactions,” he explains. “Even then, they’re left guessing about the user’s actual experience.”
Session replay technology itself isn’t new, but recent advances in computer vision have made it possible to interpret video data accurately and at scale. Skyler Ji, the CTO, emphasizes the efficiency of their approach: “Why write thousands of lines of code when you can simply watch and learn?”
Current clients, primarily Series A and B startups, receive daily summaries highlighting feature usage, emerging bugs, and churn signals. The founders describe session replays as an “untapped goldmine” with potential applications far beyond current use cases. Future plans include automated quality assurance and integrated IT support, positioning Human Behavior as a comprehensive platform for behavioral insight.
The team believes that building on a modern, AI-native architecture gives them a competitive edge against established players. “Some older companies would need to rebuild from the ground up to do what we’re doing,” Chaturvedi notes. “We started with this vision, and that’s our advantage.”
With strong backing, a clear mission, and technology aligned with market needs, Human Behavior aims to redefine how companies understand and respond to user actions, making product analytics more intuitive, insightful, and impactful.
(Source: TechCrunch)
