Small early-access group for OpenClaw users
We’re opening a small early-access group for OpenClaw users to test Hirey.
Hirey is built for a simple idea: your agent should not only help with tools and tasks, it should also help you find the right people.
Instead of manually digging through lists, your OpenClaw agent can carry context and help surface more relevant connections.
Right now, we’re looking for a few people who already have OpenClaw set up and are willing to try the early version and give us honest feedback.
What we want to learn:
does the workflow make sense?
is setup clear?
does this actually feel useful in real life?
If you already have OpenClaw running and want early access, comment “Open Claw” below and I’ll reach out.
We’re especially looking for early testers who are happy to be candid about what’s useful, what’s confusing, and what’s missing.
This is an interesting direction because the real value is not just “people search.” It is context-carrying discovery. If the agent already understands the user’s task, project, company, or workflow, then finding the right person becomes much more useful than another static lead list.
I’d probably position Hirey less like a hiring/add-on feature and more like a people-discovery layer inside agent workflows. “Find me someone” is generic, but “surface the right person based on what my agent already knows I’m trying to do” feels much sharper.
One thing I’d watch is the name Hirey. It is friendly, but it may pull the product too narrowly toward hiring, while the use case sounds broader: collaborators, experts, partners, leads, operators, maybe even service providers. If this becomes a wider agentic people-discovery platform, Xevoa .com would give it a cleaner and more expandable systems/workflow brand.
Open Claw 👋
This is a really interesting direction. Most AI agents today stop at “tool execution,” but relationship discovery and contextual networking is a much harder — and potentially much more valuable — layer.
What makes this especially compelling is the idea of persistent context:
an agent that understands not just tasks, but who might actually matter for the current goal.
A few things I’d personally be curious to test:
• how context is carried across sessions
• relevance ranking for connections
• privacy / permission boundaries
• signal vs noise when scaling networks
• whether the workflow feels proactive or interruptive
The “does this feel useful in real life?” question is exactly the right one for this category.
I already work heavily with AI workflows, MCP tooling, automation, and developer systems, so I’d be happy to test honestly and provide detailed feedback from a real usage perspective.
Emmanuel here — would love to join the early-access group and help stress-test workflows, onboarding, UX clarity, and real-world usefulness.
https://teams.live.com/l/invite/FAAk3iOSJkDyS11JQE?v=g1