The Ghost Job Economy: 28% Stat Ignores the Real Candidate Pain

·Commentary on Hacker News (Best)

Stumbled on this piece from rubatrejo about ghost jobs, and it's generated a lot of buzz on Hacker News. The headline stat — 28% of job postings on company career sites have been open over 90 days — is certainly eye-catching. But as someone who tracks problems in hiring constantly, I think the fixation on that number misses where the real pain lives.

The report claims a significant chunk of posted jobs are essentially fake. Unverifiable methodology, but let's assume there's some truth to it. Companies post roles with no intention of hiring, or they've already filled the role internally but keep the ad up for appearance's sake. Annoying for candidates, sure. But is that the actual problem? Based on what we see at PainSignal, the employer-side dysfunction is just the tip of the iceberg.

We track problems across recruitment and hiring, and our data shows 87 distinct problems in that category, with an average severity of 3.9 out of 5. That's high. But here's the kicker: 54 of those problems are in the 'Job Seeker Experience' subcategory, and their average severity is 4.2. Job seekers are in more pain than anyone else in the hiring loop. The article glosses over that entirely.

Think about it. You apply to a job, tailor your resume, write a cover letter, maybe do a take-home assignment. Then... nothing. No response, no acknowledgement, no closure. Our data shows that 'No response from employers after applying' has been reported 18 times. 'Applying to jobs that are already filled internally' — 7 reports. And the biggest complaint? 'Job postings stay open for months with no feedback to candidates' — 12 reports. These aren't just numbers; they're screams of frustration from people trying to navigate a broken system.

The original article frames long-open postings as a sign of employer laziness or deceit. That's one interpretation. But what if the posting is open because the company's own software is failing? We track 32 problems in 'HR Software & Tools,' and many are about outdated applicant tracking systems (ATS). One specific issue, 'ATS fails to auto-close positions when filled,' has been reported 9 times. So some of those ghost jobs aren't intentional — they're a product of clunky tech. Either way, the candidate loses.

Here's where it gets interesting for anyone in the indie hacker or seed investor world: this is a two-sided market screaming for a fix. On the employer side, there's a clear opportunity for an ATS that actually manages the lifecycle of a listing. Auto-close when filled, auto-notify candidates when a role is paused, and maybe even flag postings that have been up too long without activity. That's a feature, not a whole company, but it could be a wedge.

On the candidate side, the pain is even more acute. Job seekers have no visibility. They can't tell if a role is real, if it's already filled, or if their application went into a black hole. A tool that tracks your applications, tells you when a posting you applied to gets closed, and maybe even aggregates data on employer response times could be incredibly sticky. Think of it as "Mint for your job search." The data we have suggests users would flock to something like that.

Now, I'd push back on one thing in the article. The 28% figure is presented as if it applies uniformly across all industries. Our data strongly suggests otherwise. While tech postings do seem to linger — tech has the highest concentration of ghost job complaints at 42% of related reports — other sectors behave differently. Healthcare and retail, for example, tend to have much shorter time-to-fill based on the problem reports we see. So if you're building a solution, you can't treat every industry the same. The pain is concentrated, and that's where you should focus.

So yes, ghost jobs are a real problem. But the more compelling story is the asymmetry of information and the emotional toll on candidates. The original piece gave us a stat; the opportunity is in the silence between that stat and the people it affects.

This article is commentary on the original article by rubatrejo at Hacker News (Best). We encourage you to read the original.

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