Amogh Chaturvedi is operating on little sleep however loads of conviction at 6 a.m. He’s groggy, apologetic for rescheduling, and nonetheless reeling from a latest scare involving a member of the family and an electrical scooter.
Inside minutes, although, the 20-year-old Stanford dropout snaps into focus, strolling me by way of how he and his co-founders offered one startup at 19, landed in Y Combinator, and raised $5 million for his or her subsequent firm, Human Habits.
Launched only a few months in the past, Human Behaviour is betting that imaginative and prescient AI can do what analytics instruments like Mixpanel and PostHog have struggled with: give corporations an actual understanding of how individuals use their merchandise, together with why they convert or churn.
As an alternative of counting on manually tagged occasions or clickstream knowledge, Human Habits claims its AI watches actual person session replays and generates insights, answering product groups’ most urgent questions with out hours of instrumenting code.
The four-month-old YC startup closed its $5 million seed spherical in simply two days (which is turning into a norm for present YC corporations), with backers together with Basic Catalyst, Paul Graham, Vercel Ventures, and Y Combinator.
“We could’ve done the financial engineering game because we got more offers with higher valuations, but we didn’t want that,” stated the CEO.
Chaturvedi met his co-founders, Skyler Ji and Chirag Kawediya, each 22, at a hacker home he organized in 2023 as an excuse to stay and construct with associates after his freshman 12 months at Stanford.
Techcrunch occasion
San Francisco
|
October 27-29, 2025
Their first startup, Dough, was an e-commerce accounting software they bootstrapped. Like Chaturvedi, Ji dropped out of faculty (leaving Berkeley) whereas Kawediya went on to graduate.
Though YC was initially skeptical about Dough’s market potential, the workforce was admitted into the accelerator’s spring batch this 12 months on the belief they might finally pivot, Chaturvedi says. They did so nearly instantly, after talking with each buyer and inquiring about every other issues they confronted.
The suggestions was constant: whereas Dough may present which merchandise had been promoting or not, the purchasers needed to know why. Answering that required analytics powered by behavioral knowledge, not simply accounting reviews.
With this new route, the workforce offered Dough for six figures to Employer.com, the identical firm that purchased Bench, and went all-in on Human Habits.
Kawediya explains that corporations utilizing conventional analytics usually want engineers to arrange occasion trackers for each button and click on, burning hours, generally weeks, of engineering time.
For a quick-moving startup, that’s removed from supreme. “Even once you have that data, you’re still stuck with the bigger question of how users actually interact with your product so you can make it better,” he says.
Session replays aren’t new, however till lately, pc imaginative and prescient fashions weren’t correct sufficient to parse them at scale. Now they’re, and Human Behaviour is doing so to summarize and phase 1000’s of hours of footage. “Why spend hours writing code to track clicks when we can just watch the video?” Ji provides.
At the moment, Human Behaviour’s clients — largely fast-moving Sequence A and B startups — get each day abstract emails highlighting which options had been used, which bugs appeared, and which customers churned. Since launching 4 months in the past, Chaturvedi says the corporate has been rising 20% month-over-month.
The founders name session replays an “untapped goldmine.” Proper now, Human Habits helps groups perceive customers and squash bugs. Over time, the identical dataset may energy automated QA and embedded IT help. Their ambition is to make Human Habits the Datadog of session replay, spinning out dozens of merchandise from the identical core knowledge.
Constructing with new expertise from the bottom up is how the founders imagine they’ll tackle extra established gamers like Mixpanel and PostHog. “For some of these companies, it might be difficult to replicate what we have because their architecture can’t support the shift without starting over,” remarked Chaturvedi.
