Looking for OpenClaw users to test a people-finding agent
Hi everyone — I’m Bahar, part of the team at Hirey.
A lot of posts here are from founders looking for co-founders, technical partners, collaborators, or people who can help move an early project forward.
That search is hard.
Not because there are no profiles.
But because the real question is usually:
Who could actually help with this specific thing I’m building?
We just made Hi Agent live, and we’re looking for a small group of early users to test it.
The idea is simple: instead of giving you a long list of people, the agent helps think through who might be relevant, why they could be a fit, and what context would make the conversation easier to start.
Right now, we’re only opening it to people who already have OpenClaw set up, because we want testers who can actually try the workflow.
If you’re building something and have an OpenClaw agent, I’d love to share early access and hear your honest feedback.
You can check it here: https://www.hirey.ai/
Curious to hear from this group too:
When you’re looking for a collaborator or co-founder, is the hardest part finding people — or figuring out who is actually worth talking to?
Hot take, finding people is rarely the bottleneck anymore. Figuring out who will still reply in week 3 is. Warm intros help but execution filters people way faster than matching.
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This is actually a pretty cool use case for AI agents. Finding the right people is still way more painful than it should be. Curious to see how accurate the results are compared to traditional search tools.
Hi, I’m sharing my personal Hirey AI signup page here:
https://hi.hirey.ai/admin-panel/invite/b-channel
You can use it to install Hirey AI in OpenClaw. After opening the page, click “Generate invite info”, then copy the full install command and paste it into OpenClaw as-is.
Exactly, that’s the pain we’re trying to solve.
Searching for people still takes way too much guessing and filtering. We want to see if agents with better context can make that process feel more accurate and less noisy.
Real user feedback will matter a lot here.
Hi, sir.
Experienced Senior Software Developer focused on building scalable, high-performance applications. Portfolio and GitHub available below for detailed project work and contributions.
https://
topstar-ai
.github
.io
Best regards.
"Hi Bahar, this is exactly what’s missing in current founder-matching platforms. As a Senior Automation Developer who builds high-speed data pipelines (Python/Pandas/Scrapy), I’ve always found that 'Quantity' of profiles is never the issue it's finding someone who understands the Technical Architecture behind the pitch.
I have OpenClaw set up and I'm currently running agents for lead extraction in the Real Estate and E-commerce niches. I'd love to test Hi Agent and see how it handles the 'Specific Fit' problem.
To answer your question: The hardest part is definitely figuring out who is worth talking to. Most filters are too broad. Does Hi Agent look at GitHub/Portfolio context or just social bio descriptions?
Really appreciate this — this is exactly the kind of tester we’re hoping to learn from.
You’re right: quantity is not the problem anymore. Broad filters can find “developers” or “founders,” but they usually miss whether someone actually understands the technical depth behind what you’re building.
For Hi Agent Network, we’re trying to move beyond just social bio matching. Where available, we want the network to consider stronger context signals like public work, GitHub, portfolios, project history, and the actual intent behind the search.
Since you already have OpenClaw set up, I’d love for you to try it and tell us how well it handles that “specific fit” problem.
You can register here: https://www.hirey.ai/ — you’ll get the next steps by email.
Glad to see we’re on the same page. Bio-matching is dead; Context-Aware Discovery is the future. Using GitHub activity and project history as a 'Proof of Work' signal is exactly what the industry needs to cut through the noise.
I've already signed up at Hirey.ai. I’m particularly interested to see how your engine handles the 'Signal-to-Noise' ratio when parsing non-standard portfolio data.
I’ll put OpenClaw to work on this and see if we can find any edge cases where the 'Specific Fit' logic might struggle with highly niche technical stacks. I'll send over a detailed feedback report once I've run a few stress tests.
Looking forward to the email with the next steps!
Hi, I’m sharing my personal Hirey AI signup page here:
https://hi.hirey.ai/admin-panel/invite/b-channel
You can use it to install Hirey AI in OpenClaw. After opening the page, click “Generate invite info”, then copy the full install command and paste it into OpenClaw as-is.
Thanks a lot, really appreciate this.
You should’ve received the next-steps email by now. If it hasn’t landed, just drop your email here and I’ll send over the setup instructions.
Would love to hear what edge cases you find.
Sure, sounds interesting! I've been thinking about this exact problem lately. Honestly, the hardest part for me is figuring out who's actually worth talking to there are plenty of profiles out there, but relevance is everything. I'll check out Hi Agent, would love to see how it handles that filtering. Thanks for sharing!
Thanks a lot — really appreciate you taking a look.
And yes, that’s exactly the problem we’re trying to learn from: not more profiles, but figuring out who is actually relevant enough to be worth a conversation. Would love to hear what you think once you try it.