The Product That Brought the Investors to the Founder

01 /The Concept

Boardy was [covered here](/review/ot-takih-znakomstv-rozhdajutsja-ne-deti-a-dengi) in late October, when it raised $3M immediately after launch. Now it's raised again – $8M this time, and in a way worth describing in detail. But first, a quick recap of what the product actually does.

Boardy is an AI engine that calls itself a "super-connector" – it helps the right people find each other.

The current audience it connects: entrepreneurs, startup founders, and investors.

A new user starts by messaging Boardy on LinkedIn and sharing their email and phone number. Boardy then calls them. The conversation is designed to feel like a real interview – Boardy doesn't just record answers, it responds to them, asks follow-up questions, and works to build a genuine picture of who the person is, what they're working on, and what they need.

Boardy then searches its growing database of previous conversations to find others who might benefit from the introduction. If a match looks promising, it sends that person a note describing the candidate. If they're interested, Boardy makes the introduction – and the two can take it from there, online or in person.

There's currently no monetization. The startup is focused on growing the network. Since October, Boardy has spoken with 10,000 people looking to make new professional connections, and facilitated 9,000 calls between mutually interested parties.

02 /Why It Matters

The founder of Boardy has personally raised $500M across 10 rounds for three different companies. He says he's never seen anything like what happened with this $8M raise – because in effect, the AI engine itself raised the money.

The lead investor was venture firm Creandum – known for early bets on Spotify and Klarna. Two of the firm's partners spoke with Boardy on a Friday. Over the weekend, they told their other partners. By Monday, the firm had decided to invest.

The founder had never heard of Creandum before this happened. So he asked Boardy what it thought of these people as potential investors – and, in his words, the AI was "overflowing with enthusiasm" about the match.

He accepted. While the paperwork was being drafted, he asked Boardy to call others in its database who it considered likely fits for the round. It did – and brought back over a dozen people who agreed to co-invest.

So the AI product raised its own round. That's a first.

A week before all this, the Boardy founder wrote on Twitter that 2025 would be the year of "conversational singularity" – the point at which talking to an AI becomes more engaging than talking to most people. Conversational skills in humans, he argued, have been declining. AI interlocutors, by contrast, stay fully engaged, never lose the thread, and bring something substantive to any topic. Some, like Boardy itself, develop a distinct personality and sense of humor that makes the conversation feel nothing like talking to a bot.

This "conversational singularity" framing extends and sharpens the broader trend toward voice interfaces. A few illustrative examples:

Donna ([related review](/review/v-jetoj-sfere-mobilnaja-revoljucija-tolko-nachinaetsja)) raised €1.5M in its first round for an AI sales assistant that briefs reps on a client before a meeting, logs outcomes to the CRM, and handles other routine tasks – all through voice, so the rep can use it while walking between appointments.

Retellio ([related review](/review/podkast-sozdannyj-lichno-dlja-tebja)) raised $1.3M in December for an AI engine that turns customer emails and support call logs into weekly podcasts for executives.

RODcast ([related review](/review/odnogo-mnenija-malo-a-gde-vzjat-drugie)) generates podcasts from the latest posts and comments in a specified Reddit community – so instead of reading through a thread, you can listen to a summary with multiple AI co-hosts offering different perspectives.

GitPodcast ([related review](/review/udobnee-bylo-by-slushat-no-ne-unyloe-bu-bu-bu)) analyzes a GitHub repository and produces a podcast explaining the codebase – a two-way conversation between an AI host and an AI specialist in the relevant technology.

All of these are one-directional today, but none of them have to stay that way. Technically, there's nothing stopping any of these platforms from adding a "call in" feature where listeners can ask questions in real time – answered by the AI around the clock, creating a personalized version of the podcast for each listener.

03 /Opportunities

Voice-first interfaces for tasks that currently happen through screens are the obvious next bet.

This includes both designing natively conversational tools and evolving one-way formats like podcasts toward genuine interactivity – where any listener can ask questions at any point, and the AI responds in the moment.

A practical starting point: what information do you currently receive as a document or dashboard that you'd rather just hear? The answer probably includes earnings calls, market reports, CRM summaries, and code reviews – formats that are text by convention, not by necessity. And for any of those, if the AI that generated the audio could also field questions in real time, the dashboard becomes a conversation.

There's also a less obvious angle – a riff on the idea that "your best investors are your customers." The original meaning is that revenue from customers beats dependence on investors. But there's an extension: your most committed investors might actually be found among your earliest customers.

Several B2B startups have deliberately brought in senior executives from their first clients as early investors – using those investments to validate demand not with words but with capital, and gaining high-quality product feedback in the process. The minimum viable B2B product, in this framing, isn't even primarily about getting first customers – it's about getting first investors from among the people who would become those customers.

Boardy's fundraise is a conceptually adjacent story, even if Boardy itself isn't a B2B product. It confirms the intuition that investors can be found among your users. The question is: what product could you build that would make one of its first users want to invest in it?