SuperMe Raises $20M Series A for Expert Knowledge Network

The work an operator chooses to share can say more about their judgment than a carefully maintained professional profile. SuperMe is building a network around that material, turning contributed experience into AI profiles that other people can question. Its financing puts a price on a familiar professional frustration: useful knowledge often belongs to someone who has very little time to explain it again.

SuperMe announced a $20M Series A on October 29, 2026, led by Kirsten Green at Forerunner, with Greylock Partners participating. Co-founder and CEO Casey Winters and co-founder Ludo Antonov are developing a professional knowledge network that brings multiple AI profiles into a discussion, including from within Claude and ChatGPT. The company plans to broaden expert participation, improve matching and make the network easier to access in existing work tools.

The investment follows SuperMe's November 2025 public launch. With offices in San Francisco and Ho Chi Minh City, the company is pursuing a form of professional discovery in which the experience behind an answer remains attached to a person. That relationship matters to both sides: someone needs help making a decision, and someone else wants their work to be useful without acquiring another public performance to maintain.

What SuperMe's Series A finances

A professional network needs people willing to contribute before it can help anyone find them. SuperMe's funding priorities place that participation alongside the technical task of connecting a question with relevant experience. Adding capable contributors, making their knowledge usable and helping users encounter it are interdependent jobs. More profiles create more possible matches, but also more work in deciding which perspectives deserve a place in a particular discussion.

Forerunner's investment announcement, written by Founding Partner Kirsten Green, explains the firm's interest in contextual judgment. The investor sees an opportunity to make experience accessible that might otherwise remain inside someone's work history or private professional circle. That is a thesis about the value of the network as participation grows; it remains a thesis whose commercial results will develop over time.

SuperMe has disclosed the new round as $20M without specifying the dollar denomination in its official announcement. A valuation and a verified cumulative funding total were not provided in the primary material reviewed. The amount supports a clear operating agenda even without those additional figures: bring more useful experience into the network and improve how a builder finds the right contribution. For operators evaluating the product, the relevant unit of value is a better-informed decision, which is harder to demonstrate than the volume of text a system can produce.

AI profiles change the work of giving advice

SuperMe's product sits between a person's accumulated experience and another person's immediate question. A contributor supplies material they want represented, and an AI profile makes that material conversational. A user can consult several profiles together, exploring differing perspectives without requiring the actual people to join a live meeting. Keeping that distinction clear helps users understand what they are receiving and where responsibility for the eventual decision still sits.

For a product leader weighing an experiment, access to different experiences can expose assumptions hidden inside an apparently simple recommendation. A useful answer may depend on the kind of business, its stage, the customers involved and what an earlier operator was trying to achieve. SuperMe's matching work therefore has to do more than retrieve a plausible sentence. It needs to bring an experience into the discussion because that experience bears on the question being asked.

The arrangement also changes the contributor's calculation. Sharing knowledge can create recognition and new conversations while leaving the contributor discretion over which human relationships to pursue. That makes attribution part of the product's economic logic: if the person behind the contribution becomes invisible, the reason to keep contributing may weaken. SuperMe's original launch statement explicitly connected professional opportunity with making work discoverable. Its developing network will have to keep making that connection worthwhile for people whose expertise already has demands on it.

Founders who have built networks before

Casey Winters brings product and growth experience from Eventbrite, Pinterest and Grubhub. Ludo Antonov previously led engineering work at Whatnot, Lyft and Pinterest; his current official profile identifies him as co-founder and Chief Token Officer. Their backgrounds put acquisition, participation and the usefulness of a network close to the founding team's everyday decisions.

Greylock's account of SuperMe's launch described the founders' work together and the company's early development through Greylock Edge. The returning investor's participation connects that earlier company-building relationship with the new Series A. Prior employers in these biographies establish experience, rather than evidence that those businesses are customers of SuperMe. That distinction matters in a category where a familiar corporate name can easily be mistaken for commercial adoption.

The founders are also recruiting for work around the people supplying the product. SuperMe's current careers page lists Community Lead and Content Lead positions in San Francisco. Those roles fit a business whose quality depends partly on understanding contributors and making their knowledge legible to others. Engineering can make a conversation possible; community and editorial judgment help determine whether enough worthwhile experience enters that conversation in the first place. The Series A gives the founders more room to develop those capabilities together, while contributors continue deciding what they are willing to put under their own names.

Expertise enters the existing AI conversation

SuperMe is taking its network into Claude and ChatGPT, where a user may already have explained the problem and assembled relevant context. That distribution choice can reduce the effort involved in seeking another perspective. It also puts SuperMe beside general-purpose assistants, making the relevance of the people represented in its network central to the reason a user would ask for it.

The company describes contributor control over shared information and private conversations. Those are product assurances from SuperMe, rather than independent security certifications. An organization considering private work material should understand the actual permissions and information boundaries before contributing it. Professional knowledge carries value partly because it comes from real work, and that same origin makes deciding what may be shared a continuing responsibility.

For builders, the opportunity is to encounter experience that a conventional introduction or content feed might never surface. For contributors, the invitation is to become discoverable through substantive work while retaining a say in the relationships that follow. SuperMe's next stage joins those two decisions: someone has to find a perspective useful enough to return, and the person represented has to keep choosing to share the experience that makes the answer worth seeking.