Analyze job postings for ghost roles, scam risks & posting quality.
GhostFilter is a transparent hiring-risk diagnostic tool. It evaluates job metadata and description text to generate 3 independent scores with zero artificial penalties for unverified information.
Detects reposting loops, aging postings (>60 days), and talent-pool phrases indicating unapproved headcount.
Identifies financial demands, equipment deposit schemes, Telegram/WhatsApp recruitment, and fake check traps.
Evaluates role completeness, concrete duties, salary transparency, and realistic qualifications.
V2 Architecture
Transparent diagnostic pipeline
GhostFilter avoids black-box AI scores. Every score impact is explicitly cited, inspectable, and categorized under a strict 3-state evidence system.
01. Text & Metadata Ingestion
Paste job description text or URL. The V2 parser extracts responsibilities, prerequisites, salary strings, and contact channels.
02. 3-State Heuristic Evaluation
Evidence is classified as Positive, Negative, or Unknown. Unknown signals carry zero artificial penalty.
03. Evidence & Outcome Tracking
Receive a plain-English verdict, review research citations, and track application outcomes locally over time.