The Vetta Blog
Insights on AI-powered recruiting, talent matching, and hiring optimization
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📉 The Resume Problem Nobody Wants to Admit
You're hiring for a critical role. You open your ATS. You filter for keywords. You eliminate 90% of applicants in under 10 seconds. Efficient, right? Except the person who actually solved your exact problem last year? They used different terminology. And your system filtered them out.
Read Article🎯 The Job Hunt Is Broken—And Even LinkedIn Knows It
4 months. That's the new average time it takes to land a job, according to LinkedIn's own data. Not four weeks. Not a few conversations. Four. Months. That's not a market problem. That's a system failure.
Read ArticleUnshitifying Hiring, Part 4: Ghosting, Gatekeeping & the Grind
Let's call it what it is—modern hiring is a trust crisis. Candidates ghost companies. Companies ghost candidates. Everyone's burned out. Everyone's lying just a little. And the whole process feels like a never-ending performance review you didn't sign up for.
Read ArticleHow to Reduce Time-to-Hire Using AI Automation
If you're still hiring the old-fashioned way, you're probably losing your best candidates. In 2025, the talent market moves fast—especially in tech, sales, and product roles. Candidates expect speed. Delays = drop-offs. The companies that win top talent? They've automated their hiring workflows from day one.
Read ArticleThe Ultimate Guide to AI Recruiting in 2025
AI recruiting isn't the future—it's the present. Startups, scaling companies, and even global enterprises are ditching old-school methods in favor of faster, smarter, and more scalable ways to hire. And with generative AI, machine learning, and automation tools evolving rapidly, 2025 is the year AI recruiting goes mainstream.
Read ArticleUnshitifying Hiring, Part 3: The Candidate Experience Is Broken (And Everyone Knows It)
We've normalized garbage. As job seekers, we now expect to send out 100+ resumes and hear back from 2, to get ghosted after interviews, to talk to 4 people before we learn what the job actually pays, and to be judged by keyword-matching bots instead of actual work. It's not just inefficient—it's demoralizing.
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