SuperMe raises $20M to turn Silicon Valley experts into AI profiles you can chat with
What's the deal? SuperMeDealroom has a profile for this one. Try Dealroom → has raised $20 million in a Series A led by Kirsten Green at Forerunner, with participation from Greylock Partners. The San Francisco startup builds conversational AI profiles from the knowledge of real experts, routing a user's question into a group chat with the most relevant simulated advisors.
How it works: Users type a career or workplace question, and SuperMe assembles a group of AI profiles to discuss it. The profiles draw on public sources such as LinkedIn, YouTube, and Substack, plus connected tools like Google Drive, Notion, and Gmail. The company says sensitive data is kept out of answers.
Who's behind it? Casey Winters and Ludo Antonov founded the company in 2024. Both scaled Pinterest; Winters also held roles at Grubhub and Eventbrite, while Antonov ran engineering at Lyft and Whatnot.
What's the endgame? The 13-person startup will use the capital to recruit engineers for its conversation and matching models, and to hire staff to add experts in new fields. It also added access through Claude and ChatGPT via the Model Context Protocol.
What could go wrong? SuperMe is free today but plans to meter questions behind a paid tier, and the compensation structure for contributing experts is still unsettled. Locking in exclusive experts and their revenue share before charging users remains an open question.
Why now? "I think it's one of the reasons why this is very timely, and it's good to have something like this establishing itself when we're relatively early in this journey," Green told TechCrunch, pointing to the lessons the sector still needs to learn.
The signal: SuperMe's round lands amid growing investor interest in turning professionals' knowledge into AI-accessible "digital twins" — Twin1 AI raised a $20 million seed in August for workplace replicas. The bet is less on a proven business than on whether expert consent, reliable answers, and a two-sided network can scale.
Read more: technewstube.com, TechCrunch
Image credit: Generated with Gemini
