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I got tired of applying to ghost jobs, so I built a BS detector

I got tired of applying to ghost jobs, so I built a BS detector

by viveknar·Feb 15, 2026·3 points·2 comments
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AI Analysis

●●SolidSolve My ProblemBig Brain

Detects months-old reposted jobs before you waste time applying.

Strengths
  • •Real problem identification — ghost job fatigue is genuine frustration for applicants.
  • •Quantified approach with 8+ signal analysis (posting age, ATS patterns, company health) beats gut feel.
  • •Browser extension + paste-link UX covers both friction points in the job search workflow.
Weaknesses
  • •Accuracy claims (93.2% on 1,079 listings) lack methodology transparency or third-party validation.
  • •Early-stage data (94 jobs scanned) suggests limited real-world test coverage; results may not generalize.
Category
Productivity
Target Audience

Job seekers, especially those applying to multiple positions

Similar To

Levels.fyi (salary transparency) · Glassdoor (company reviews) · LinkedIn job filtering

Post Description

A lot of "Urgent" job postings are actually months old and just reposted to look fresh. I built a tool that looks past the PR to see if the company is actually hiring or just pooling candidates.

Check your "Ghost Score" before you write that cover letter

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Oitii - 10x your job offers

The product sells one concrete promise: fewer ghost listings and better signals. Features like a hiring-freeze cross-check, a 'trap' detector for contradictory JDs, and synthesized salary ranges (no more 'undisclosed') are tangible, not just marketing fluff. My main skepticism is data quality — real-time layoff trackers and active pings are noisy — but if their extraction and verification pipeline is solid this is genuinely useful.

Big BrainSolve My ProblemSlick
MightyOwl24
103mo ago