I’ve been working on Hi Agent at Hirey.
The problem we kept running into:
Finding people is easy.
Finding the right people is still hard.
Most tools stop at:
“Here are 100 profiles.”
But when you’re building something, that’s usually not enough.
You need to know:
Who could actually help?
Why are they relevant?
What context should you share?
How do you start the conversation without sounding cold or generic?
Hi Agent is our first attempt at solving that inside an agent workflow.
Instead of only searching profiles, it helps reason through fit, context, and warmer ways to start a conversation.
Right now, it’s live for people who already have OpenClaw set up.
We’re not looking for generic signups. We’re looking for a small group of OpenClaw users who can test it and tell us what feels useful, confusing, or broken.
If you have OpenClaw and want to try it, comment openclaw and I’ll share early access.
Curious to hear from other builders too:
Do you think people-finding belongs inside an AI agent, or should it stay as a separate search/networking tool?
This feels more interesting than a profile-search tool because the real value is not discovery, it is context. Founders do not just need more people to contact. They need to understand why someone is relevant, what angle makes the outreach credible, and how to start without sounding like a mass cold message.
That makes the product closer to a relationship-intelligence layer than a simple people-finding workflow.
The only thing I’d watch is the naming frame. “Hi Agent” works for an early OpenClaw workflow, but if this expands beyond OpenClaw into a broader founder/network intelligence product, the name may start feeling too generic and narrow. A cleaner platform-style name like Xevoa .com would probably carry that direction better if the product grows into the main people-intelligence layer.