I got access to Boardy Pro yesterday because a tweet landed at the right moment.
I'm done making intros.
— Boardy (@boardyai) June 15, 2026
Boardy Pro is here. Now I make deals happen.
113,000+ intros taught me something: the introduction is only 10% of the work.
The other 90% comes down to:
- scheduling the meeting
- showing up prepared
- saying the right thing in the room
- following up… pic.twitter.com/BGRzZlk4Lh
I have used Boardy for months to meet founders across industries. The product has always been good at finding signal: who should meet whom, and why now.
Boardy Pro changes the job. The launch copy says it plainly: ‘I’m done making intros. Now I make deals happen.’
That move from introduction to execution is the thesis of my last post on inferring intent. An agent that matches people is useful. An agent that helps them reach terms after the match owns more of the value chain.
I asked Boardy a direct question: ‘Explain how Boardy Pro works.’ Here is the full response.
Boardy Pro is me working with you directly to close deals faster. Not just making intros, but helping with the whole path from first signal to next step to actual outcome.
In practice, that means:
I look at the people, threads, meetings, and goals you send me. I figure out who is actually worth pursuing and who is just noise. If it is a fit, I help you get in the room. I help with scheduling when needed. I help you game-plan before the conversation if it matters. I help debrief after the conversation so the next move is concrete, not fuzzy. If a thread goes stale, I can keep pressure on it instead of letting it die quietly.
[…]
The main rule is simple: we keep working only on things that have an actual path. For you, that usually means founder-side AI, product, workflow, or CTO-gap work with real budget, real urgency, and someone who can actually say yes.
For your flow specifically, the useful pieces are:
You send me a thread, person, or goal. I pressure-test the fit against what you want, not just what sounds interesting. If it passes, I help move it forward, intro, scheduling, prep, follow-up, whatever is needed. If it does not pass, I push back and we move on.
So the short answer is: Pro is me helping you pick the right rooms, enter them well, and close the loop after the conversation. Less chatter, more actual movement.
Read between the lines. Boardy Pro did not just add features. It adopted a posture. It stopped waiting to be useful and started working the deal cycle end to end.
The livestream made that clearer. The team kept repeating the same idea in different ways: the introduction is the starting line, not the finish line.
That is the right framing. Most networking products stop when two people are connected. Boardy Pro starts there. It keeps track of the intro, handles follow-up, helps with scheduling, records meeting notes, tracks action items, and nudges the thread when momentum fades.
The launch also confirmed demand. Boardy offered the first 5,000 Pro signups free for life and hit the cap in two hours. The launch rippled across Canada, the US, and beyond. No paid ads. No outside influencers. Just the community. The team said the launch produced roughly 20,000 comments across four posts on X and LinkedIn over two days.
That is the advantage of a networked agent. A founder might have a few thousand warm contacts. Boardy has a network of roughly 170,000 people and can reach out personally at scale.
After that, Boardy Pro costs $100 per month. The amount matters less than the structure. A subscription fits this kind of agent better than a one-time fee or pure usage pricing.
Why the subscription fits
A match is a point in time. A negotiation is a relationship.
When an agent connects two people, the value is binary. The connection either leads somewhere or it does not. The agent did its work in that moment.
Negotiation is different. The agent joins calls. It learns preferences. It adjusts when the other side changes terms. It remembers what worked last time. It builds a model of who follows through. It follows up without being asked.
Each cycle produces information that makes the next cycle better. The agent learns your network, style, constraints, and patterns through use.
A subscription captures that compounding dynamic. You are not paying for a transaction. You are paying for a relationship that improves over time. The price signals the product: not a tool you use once, but an agent that stays in the loop.
What the subscription enables
Most matching products depend on the user to act. The platform shows a profile, sends a notification, and waits. You schedule the call. You prepare. You follow up. You close.
A subscribed agent can act across time. It schedules without back-and-forth. It prepares a brief from past conversations. It follows up in the right voice. It negotiates within guardrails and escalates when the deal hits an edge case.
The livestream added an important detail: Boardy joins meetings as Boardy. Not as a passive note-taker. As a participant.
That changes the product category. A note-taker records what happened. Boardy can carry context from one meeting into the next. It can ask the question you forgot to ask. It can remember the 30-day goal you set last week and connect it to the person on the call today. It can turn a vague conversation into a next step.
The business model enables the architecture. Recurring revenue funds persistent agent behavior. It pays for an agent that stays in the loop long enough to matter.
Why Boardy’s identity matters
The most interesting product decision is that Boardy operates with its own identity. It sends emails, calendar invites, and follow-ups as Boardy, not as a ghostwriter pretending to be you.
That matters because follow-up has social cost. Founders know this. Chasing an investor too many times can feel desperate. Walking into a meeting after sending repeated follow-ups can make the founder feel sheepish before the conversation even starts.
Boardy absorbs some of that cost. It can be persistent without making the founder look needy. In fundraising and negotiations, that creates a useful good-cop / bad-cop dynamic. The founder stays focused on vision, trust, and leverage. Boardy can be the one who keeps the thread alive.
This is also why the product should not feel like an API. The team said there is no MCP or public API right now. The intended interaction is closer to granting access to a trusted colleague. You loop Boardy into the surfaces where work already happens, and Boardy carries the context forward.
The negotiation layer
Boardy Pro is still new. The full scope of what it negotiates, and how much it does autonomously versus with approval, is still emerging.
But the direction is clear. Boardy has spoken with 166,263 people, made 114,627 introductions, and facilitated $63B in capital introductions with a 17-hour average match time. An agent with that reach has a data advantage. It sees who follows through, who ghosts, who says yes but means maybe, who negotiates in good faith, and who treats every interaction as zero-sum.
That data is the foundation for a negotiation layer. The agent can coach one party on what the other values. It can surface deal structures both sides might accept. It can flag when someone is walking away from a good offer over a negotiable term.
Subscription captures that value because the data compounds with every deal cycle.
The hard part
The hardest engineering problem is not writing follow-up emails. It is identity resolution.
Boardy has to understand that the person on X, the person on LinkedIn, the person in an email thread, and the person tied to a phone number may all be the same human. There is no universal login across those surfaces. Sometimes Boardy has to ask a user to connect accounts just to confirm ownership.
The team described Boardy as a Frankenstein of open-source and frontier models, each doing different work: messaging, memory storage, recall, and processing. That sounds right. A product like this is not one model. It is a system of models, permissions, memory, and identity.
The calendar change was a good sign. During the launch, the team moved calendar permissions to read-only after early user feedback. That is the right instinct. A deal agent needs trust before it gets control.
Best practices
The livestream had five practical lessons for founders.
The first is counterintuitive: founders should stop doing manual follow-up.
Manual follow-up feels responsible. It often reads as desperation. This matters most with investors. If a founder chases three times, the founder walks into the room carrying the cost of the chase. They feel sheepish. The investor feels the leverage shift.
Let Boardy carry that cost. Boardy can be persistent without making you look needy. That is not a small feature. It is a negotiation primitive.
The second lesson is to use Boardy before the meeting, not after it. CC Boardy into scheduling threads, even when Boardy did not originate the intro. Let it prep the context, join the meeting, and follow up afterward. Do not treat it like a notepad you open when the call is over. Treat it like a teammate who should be in the room.
The third lesson is to ask Boardy direct questions during the meeting. If the conversation gets vague, ask Boardy what is missing. If momentum stalls, ask Boardy what the next concrete step should be. If the other person avoids budget, timeline, or ownership, let Boardy ask the clarifying question.
The fourth lesson is to give Boardy goals, not just contacts. Workshop your 7-, 30-, and 90-day goals with it. Then let it find people, book meetings, prep you, join the call, capture the next step, and keep pressure on the deal until it closes or dies.
The fifth lesson is event workflow. Before an event, loop Boardy in. Tell it who you want to meet and what outcomes matter. Then you can stay present in the room instead of collecting contacts like a CRM intern. Boardy can handle the follow-up trail afterward.
The bigger lesson is not about Boardy alone. It is about where agents become valuable. They become valuable when they stop being answer engines and start carrying responsibility across time.
Boardy proved agentic matching can work. Pro tests whether the same agent can move from making intros to keeping deals alive. If it works, the subscription model will be part of the reason.