Zapier's CEO uses Grok's natural language search on X to find "under-the-radar" candidates. You can specify niche interests (e.g., "fans of no-code"), modest follower counts, and geographic locations to uncover passionate individuals who aren't on typical recruiter radars.
Honeybook built a ChatGPT agent that logs into LinkedIn, searches for candidates based on a job description, and applies nuanced filters (e.g., tenure, location, activity). This automates a time-consuming, multi-step workflow, freeing up the hiring team for higher-value tasks.
Countering the idea that AI sacrifices quality for speed, Honeybook's recruiting agent found four net-new, high-quality candidates the team had missed manually. The fifth candidate it found was one the team was already pursuing, validating the AI's quality and ability to augment human efforts.
Your hiring funnel has an ideal customer profile, just like sales. Analyze your top-performing employees to identify common demographics, past experiences, and behaviors. Use this 'avatar' to filter applications and target your sourcing efforts, increasing the likelihood of success for new hires.
LinkedIn's new AI-driven search moves beyond exact job titles. Prospecting now involves natural language queries, like finding founders in a specific industry who previously worked at a certain company. This allows for much more nuanced and effective lead generation for premium users.
Your social media followers and email contacts represent a vast, untapped network. AI tools can analyze this data, enrich it with public information, and scan for context to identify high-value individuals—like investors or media—who are already in your orbit but whom you are unaware of.
Traditional recruiting tools rely on keyword searches (e.g., "fintech"). Juicebox uses LLMs to semantically understand a candidate's profile. It can identify an engineer at a payroll company as a "fintech" candidate even if the keyword is absent, surfacing a hidden talent pool that competitors can't see.
Exceptional individuals often publish their thoughts online. By reading their content, you can assess their thinking, expertise, and confluence of ideas, making a traditional interview redundant. This allows you to move decisively when you find a match, as when the speaker hired his Opendoor cofounder on the spot.
Eleven Labs bypasses traditional hiring signals by looking for talent based on demonstrated skill. They hired one of their most brilliant researchers, who was working in a call center, after discovering his incredible open-source text-to-speech model. This underscores the value of looking beyond resumes.
Your most valuable future introduction may already be a follower on Instagram or LinkedIn. Use AI to analyze your existing network for hidden relationships with key targets (e.g., investors, partners), instead of only focusing on acquiring new connections.
Rejecting conventional headhunters and pedigrees, WCM actively sources talent from unique places. They successfully hired a key team member after discovering his insightful investment commentary on Twitter, where he was posting under a fake name, proving that talent can be found anywhere.