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Sachin Rekhi
Founder & CEO of Notejoy, and a prolific writer and speaker on product management
Sachin Rekhi is the Founder and CEO of Notejoy, a collaborative notes application designed to enhance productivity for teams. He has over 20 years of experience in product management and entrepreneurship, having previously held significant roles at LinkedIn, including Director of Product for LinkedIn Sales Navigator and Principal Product Manager for LinkedIn Contacts. His entrepreneurial journey includes founding several startups, such as Connected and Feedera, and he has a history of successfully selling companies, including Connected to LinkedIn in 2011.125
Rekhi is also known for his contributions to the product management community, having created courses on product management through Reforge, and he has spoken at various prestigious institutions and companies, including Stanford and Google. His writings on product management have garnered significant attention, with over 2 million views across 175 essays.345
He holds a dual degree in Engineering and Economics from the University of Pennsylvania, where he graduated in 2005.3
Highlights
Wow, huge get from Team Anthropic!
AI interviewing humans was already pretty novel.
AI interviewing AI? That's the frontier.
Synthetic user feedback is one of the most bleeding-edge developments in AI-powered customer discovery right now.
The concept: train AI to simulate what specific customer segments would actually say about your product. Feed it thousands of real interviews, behavioral data, even personality tests. Then let it respond to your prototypes and workflows before you talk to a single real user.
Tools like Reforge, Simile, Synthetic Users, Blok, and Evidenza are making this possible.
Here's what makes this powerful:
You're not replacing customer interviews. You're getting earlier feedback before them. Running more experiments. Testing more concepts. Moving faster through the idea maze.
The quality comes down to how well you train these synthetic users. The best implementations combine:
• Qualitative interview data from real customer segments • Behavioral metrics from actual product usage • Demographic and psychographic profiles
CVS Health has been using this with Simile, grounded in 2.9 million consented customer responses. They can now simulate feedback from hyper-specific segments — like Spanish-speaking Medicare subscribers responding to prescription onboarding flows.
This is early. This is experimental. But if you've been following the trajectory of AI in product development, you know where this is headed.

