The most valuable career advice has never been on the open web. It lives in the heads of a few people who happen to have solved your exact problem. SuperMe is betting it can bottle that, and investors are paying $20 million to find out.
The startup announced the round today, led by Kirsten Green at Forerunner with participation from Greylock Partners. The product is a network of AI profiles built from the public and private knowledge of real experts. Ask a question, and the platform picks the best-suited experts and opens a group chat with their AI versions. Ask about your pitch deck, for example, and you might hear from stand-ins for VCs like Mercedes Bent, Sarah Tavel, and Josh Elman.
The founders know consumer networks. Casey Winters held exec roles at Grubhub, Pinterest, and Eventbrite. Ludo Antonov ran engineering at Pinterest, Lyft, and Whatnot. They started in 2024 with a simple pitch: make Silicon Valley’s hidden map of who is best at what more transparent.
Here’s where it gets interesting, and a little risky. SuperMe pulls from LinkedIn, YouTube, Substack, and blogs, and also from connected apps like Google Drive, Notion, Gmail, and Granola. The company says some of that includes personal information and trade secrets, but that none of it surfaces in answers. That’s a promise, and users will have to take it on trust.
The competitive picture is crowded. ChatGPT and Claude already give decent generic advice for free. Character-style apps and creator clones like Delphi chase a similar idea of scaling one person’s expertise. Expert marketplaces such as Clarity and GLG sell the human version at a premium. SuperMe sits between them, offering named, attributable expertise at software prices. The MCP support helps here, because users can query SuperMe from inside Claude or ChatGPT instead of switching apps.
The business model is still loose. The service is free now, with question caps planned before payment kicks in. Experts are the bigger puzzle. The company is still working out how to reward them for adding knowledge, and without a real incentive the supply side stalls. Green told TechCrunch the balance is a network with "a true sharing component" where everybody benefits from contributing. Correct, but easy to say.
With about 13 employees, SuperMe is hiring engineers to improve conversation quality and expert matching, plus someone to recruit experts in uncovered fields. Those are the right priorities. Matching quality decides whether answers feel specific or generic.
Does it matter? Potentially, yes. If experts get paid and answers stay sharper than a general chatbot, this becomes a real distribution channel for expertise. If not, it’s a nice demo that ChatGPT eventually absorbs. Watch the expert incentives first.
