Crustdata
People and company search APIs built for AI agents
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CrustRecruiter - Turn Claude into a recruiter that thinks like you

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Recruiting is half judgment, half grunt work. Claude brings the judgment, i.e. the reasoning and the memory, while Crustdata brings 800M+ candidate profiles and 5 recruiting skills via MCP, meaning the manual work runs itself and you get genuinely personalized recruiting at scale, all inside one chat.

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Really like that every recommendation comes with reasoning instead of a mystery score. :D

Maker

 Glad you liked it Roop!

Congratulations

Wait, intake call recording → ranked shortlist? That’s dangerously close to magic.

Finally, a tool that remembers my taste, not just a keyword match

The real-time event tracking (promotions, job changes, new posts) is exactly what we look for in high-value intent data. Does the API integrate smoothly with standard marketing automation hubs like HubSpot, or is it strictly optimized for custom AI agents right now?

Most recruiting tools screen on keywords; teaching one to mirror my judgment on who's a fit is the harder, more useful problem. Given Crustdata's people-search roots, how much of the sourcing is live data vs. me feeding it examples of past good hires?

Recruiting has so much hidden manual work, so bringing sourcing and personalization into Claude makes sense. Curious how much control recruiters get over the “judgment” part before outreach goes out?

Really impressed by the level of control you're giving developers with filtering by domains, dates, and locations. That flexibility can make a huge difference when building trustworthy AI experiences.

I especially like that this isn't just another search API. Features like deep research mode and access to newly indexed content make it stand out from traditional approaches. Congratulations on the launch! 🎉

I have been following crustdata for a bit and this is a genuinely smart use of MCP. the part that stands out to me is the memory layer. Most sourcing tools treat every search like it's the first one you've ever done, so you're constantly re-explaining your taste. building feedback loops into the model itself is the right call.

congrats on the launch, will be sharing this with a few people in the recruiting space

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