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Job Description Red Flag and Culture Signal Decoder

Why This is an Opportunity

Job seekers spend hours applying to roles that turn out to be terrible fits because they couldn't read between the lines. The tool needs a curated and community-expandable dictionary of JD phrases mapped to their decoded meanings and flag levels (red, yellow, green). User pastes a JD, the parser scans for matching phrases, and the output is the original text with inline annotations. Think of it as a 'Grammarly for job descriptions' but focused on culture and workplace signals. Text parsing against a phrase database — no AI needed.

Key Pain Points

  • Wasting hours applying to and interviewing for roles that turn out to have toxic cultures or misleading descriptions
  • Not knowing that 'unlimited PTO' often means 'no one actually takes vacation' until you're already in the job
  • Missing positive signals like specific salary ranges, concrete growth paths, or named tech stacks that indicate transparent employers
  • Junior candidates especially lack the experience to decode corporate euphemisms that veterans recognize instantly
  • No tool exists to systematically analyze job description language for workplace culture signals
Market Opportunity
Job Seeker Tools and Career Intelligence SaaS Market
Current Size (2026)
$1.8B
Projected (2036)
$7.3B
CAGR
15.0%
This market is projected to grow 304% over the next 10 years, reaching $7.3B by 2036.

Original Discovery

Job descriptions are full of coded language that experienced professionals can read but most job seekers miss. Phrases like 'fast-paced environment' (understaffed), 'wear many hats' (no role boundaries), or 'competitive salary' (they won't tell you the range) signal specific workplace realities. A web app where you paste a job description and get an annotated breakdown highlighting potential red flags, positive signals, and decoded corporate-speak — with explanations of what each phrase typically means in practice — would help candidates evaluate opportunities before wasting time applying.

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