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SuperMe Raises $20M to Simulate Experts in AI Group Chats

TL;DR

  • SuperMe raised $20M led by Forerunner's Kirsten Green, with Greylock participating, to run AI profiles trained on named industry experts.
  • Co-founders Casey Winters (ex-Grubhub, Pinterest, Eventbrite) and Ludo Antonov (ex-Pinterest, Lyft, Whatnot) started the company in 2024.
  • Profiles pull from LinkedIn, YouTube, Substack, blogs and connected apps; service is free now, with paid metering planned and MCP access through Claude and ChatGPT.

SuperMe raised $20 million led by Kirsten Green at Forerunner Ventures, with Greylock Partners participating, to train AI profiles on named industry operators and route user questions into group chats with the most relevant simulated advisors. TechCrunch reported the round.

The company was founded in 2024 by Casey Winters, previously an executive at Grubhub, Pinterest and Eventbrite, and Ludo Antonov, who ran engineering at Pinterest, Lyft and Whatnot.

"There are these hidden networks in Silicon Valley of who the best people are for niche skills," Winters said. "Could we make that network of who the absolute best people are more transparent, and could we take all of the key insights that are locked inside their heads and make them more readily available?"

Profiles are built from public material like LinkedIn, YouTube, Substack and blogs, plus connected apps including Google Drive, Notion, Gmail and Granola, with the company saying sensitive data is excluded from answers. SuperMe supports Model Context Protocol so the profiles can be reached inside Claude and ChatGPT. It is free today and plans to meter queries behind a paid tier. The team is around 13 people.

Kirsten Green framed the funding as early-stage positioning in a market still being written. "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," she said, adding that "the balance here is to build a network so that you do have a true sharing component where there are incentives and benefits for everybody to contribute what they know." The compensation structure for the experts contributing knowledge is still being worked out.

Group-chat AI is a visible shape this cycle; another entrant, Wabi, announced its own venture round the same day.