Most AI tools I see here help with one of four things:
write faster
code faster
research faster
automate repetitive work
We’re testing something different with Hirey AI Agent:
Can an AI agent help you find the right person?
Not “give me a list of 100 profiles.”
More like:
“I’m building X. I need to reach people who could actually help with Y. Who looks relevant, why, and what would be a good way to start the conversation?”
For founders, this usually shows up in very real moments:
You need 5 early customers.
You need someone technical to collaborate with.
You need hiring leads.
You need a partner channel.
You need an advisor who actually understands the market.
This early access round is intentionally narrow:
You must already have an OpenClaw agent.
We’re not looking for generic signups. We’re looking for people who can test whether “finding the right people” makes sense as an agent workflow.
The test is simple:
Register on Hirey
Download the plugin
Try it with your OpenClaw agent
Tell us where it feels useful, weird, or broken
If you have an OpenClaw agent and want to test a people-finding workflow, comment openclaw and I’ll send access.
Curious from other builders too:
Do you think “finding the right person” belongs inside an AI agent, or should it stay as a separate search/networking product?
As a solo indie working on a small iOS side project, the "find the right person" problem hits hardest at the very start, when you have zero distribution and one wrong outreach can burn 30 minutes you didn't have. My honest answer to your framing question: it probably doesn't belong inside the agent that does the work — it belongs one layer above, as the agent that decides which agent to wake up. When I'm trying to find my first 20 testers, I don't want a tool that searches profiles; I want one that says "these 6 people are likely to reply this week, here's the angle, draft sent to your review queue." The reply-likelihood signal is the part nobody seems to model well. Curious — is Hirey trying to predict reply intent at all, or just relevance?
I think this is actually a strong AI use case. Most networking tools stop at “here are profiles,” but the hard part is context: who’s actually relevant, why they’d care, and how to approach them without sounding cold or spammy. If the agent can reliably bridge that gap, it feels more useful than another generic outreach/search product.
The interesting part is that this does not sound like “hiring” only.
It sounds more like relationship discovery for founders.
Early customers, advisors, collaborators, partner channels, hiring leads — those are all different surfaces of the same problem:
who is the right person to reach, and why now?
That is bigger than a recruiting workflow.
So I’d be careful with “Hirey” as the main frame. It may make people mentally file this as hiring software when the stronger category is closer to founder-network intelligence or relationship routing.
If the product works, the name should not narrow it before users even test the agent.
This is really helpful feedback — and I think you’re right.
“Relationship discovery for founders” is probably a much better frame than making people think only about hiring.
The use cases we’re seeing are broader: early customers, advisors, collaborators, partner channels, hiring leads, and people who can open useful doors.
Your point about the name is also fair. If people mentally file it as hiring software before trying the agent, we may be narrowing the category too early.
We’re testing the workflow with OpenClaw users first because we want feedback from people who can actually try it inside an agent setup.
Do you already have an OpenClaw agent set up?
If yes, I’d be happy to send early access. I’d especially value your feedback on whether this feels more like founder-network intelligence / relationship routing than recruiting.
Quick note: this is intentionally not open to everyone yet.
For this round, we only want people who already have an OpenClaw agent.
The feedback we care about most:
Did the plugin setup work?
Did the workflow make sense inside OpenClaw?
Was the “people discovery” use case clear?
Which use case felt strongest: customers, collaborators, hiring, partners, advisors, or investors?
Happy to send access to OpenClaw users who want to test properly.