LinkedIn Is a Sales Pitch Factory – Networking Needs More

01 /The Concept

LinkedIn has 1 billion members and yet the experience of finding someone who can actually help you right now has barely improved in twenty years. Series is built on the bet that AI agents can fix what social platforms never could. Someone is launching a new clothing line and happens to need a modeling agency contact. Someone is looking for a technical co-founder and another person knows developers who attend hackathons specifically to find ideas worth building. That kind of match – timely, specific, and mutually useful – is what Series is designed to surface.

The flow on the platform goes roughly like this. A user gets a chat message out of nowhere: "Hey, I'm Vera. Let's get to work. " The user, somewhat taken aback, responds – and Vera introduces herself as an AI friend.

"Tell me about yourself," Vera says.

So the user describes who they are, what they do, who they know, and what those people are working on.

Vera assembles a profile from that conversation – photo, bio, context – and then asks: "Who are you trying to find?"

"I need a co-founder."

Vera thinks for a moment, then responds: "Here's Joe's profile. I talked to some people in the network, and it turns out Joe knows a few students who are also looking for co-founders and is open to making introductions – but he'd want you to send him some background on your startup first."

The user opens Joe's profile and sends a message: "Hey, we haven't met, but my AI friend suggested I reach out about this..."

That's the whole product. And it just raised $3.1 million in seed funding after spending last year piloting on university students.

02 /Why It Matters

Let's look under the hood at the pitch that got Series funded.

Today, founders and professionals typically search for relevant contacts on social media. But social platforms have turned into vanity markets – the first thing anyone checks is follower count. Too few, and the person seems irrelevant. Too many, and you assume they won't reply. Meanwhile, the people on those platforms are often only interested in contacts that grow their own numbers.

A real professional network should be about who can actually help whom – not about audience size.

Series' core bet is that a network of AI agents, each representing a user, can do a much better job of making genuinely useful introductions than any public social platform. You tell your AI friend what you're working on and who you need, it consults the AI friends of other people in the network, finds relevant matches, and suggests a direct conversation.

This is free to use, but capped – there's a limit on how many contacts the AI can actively search within. To expand reach and speed, users can subscribe to premium tiers at $200, $375, or $550/month, depending on how many AI agents are working on their behalf simultaneously.

The pilot audience was university students. Since last summer, users have exchanged 57,000 messages with their AI friends – about 23 messages per user per week. Series plans to expand beyond student entrepreneurship into job searching, fitness communities, and friend-finding after a move to a new city.

Boardy ([related review](/review/produkt-kotoryj-sam-prinosit-investorov)) is operating on a similar model, with two funding rounds totaling $11 million. It targets a more experienced founder and investor audience, lives inside LinkedIn, and conducts its conversations by phone rather than chat. The key conceptual difference: Boardy focuses on direct connections, while Series leans into "friends of friends" – actively working the second-degree network of people who aren't yet members.

That second-degree approach is riskier in theory but potentially much broader in practice. The chain gets longer, but the pool of possible matches grows exponentially.

03 /Opportunities

Social networks have genuinely become marketplaces where everyone is selling something. Finding any other social value in them is getting harder.

Part of the problem is structural. Existing platforms are built on "strong ties" – you're my friend, my colleague, my subscriber, my fan. When those ties weaken, the platform removes you from each other's feeds. The whole architecture reinforces closeness.

But there's a competing theory from sociologist Mark Granovetter: the most professionally valuable relationships are actually "weak ties" – the people you sort of know but aren't close to. People in your strong-tie network are similar to you and hold roughly the same information. People in your weak-tie network are far more likely to move in circles you don't, giving them access to opportunities and information you simply can't see. As Granovetter's research put it, "people receive the most important information from those they've nearly forgotten"

Series and Boardy are built around weak ties. You don't maintain a relationship with these people for years hoping to cash in someday. You surface a specific need at a specific moment, and the AI does the social legwork to find who can help – updating contact information, tracking current interests, and keeping the network active without requiring you to do it yourself.

Any real help in the network has to be genuinely useful to both parties – it's not a favor economy, it's a value exchange. That makes it more reliable than asking friends for "intros" where they might feel socially obligated but aren't truly enthusiastic.

From a professional networking perspective, that's a more powerful architecture than anything today's major platforms offer. The opportunity is building platforms for professional networking that operate on weak-tie principles at scale – where the ideal is a network that exists for you without requiring constant maintenance, but is there exactly when you need it. That's the platform worth building