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Job Posting Legitimacy & Salary Fairness Browser Extension
A browser extension that overlays real-time legitimacy scores and salary fairness evaluations on job postings across major platforms. It detects potential phishing, offshore mismatches, and below-market compensation, saving job seekers hours of wasted effort.
Why this matters
You are an experienced marketing professional scrolling through job boards, only to find senior-level roles demanding five-plus years of experience offered at near-entry-level pay. You suspect many listings are phishing schemes or offshore roles incorrectly posted to your region, but you have no way to verify this before investing time in an application. Manually cross-referencing salary data and investigating each company's digital footprint is exhausting and slow, and existing platforms do nothing to warn you. You need a tool that instantly flags suspicious postings and tells you whether a salary is fair before you click apply.
- · Built for Mid-to-senior level marketing, design, and tech professionals actively job hunting who are frustrated by misleading postings.
- · Most likely monetization: freemium.
The Pain · Narrative
You are an experienced marketing professional scrolling through job boards, only to find senior-level roles demanding five-plus years of experience offered at near-entry-level pay. You suspect many listings are phishing schemes or offshore roles incorrectly posted to your region, but you have no way to verify this before investing time in an application. Manually cross-referencing salary data and investigating each company's digital footprint is exhausting and slow, and existing platforms do nothing to warn you. You need a tool that instantly flags suspicious postings and tells you whether a salary is fair before you click apply.
Score Breakdown
Market Signal
Go-to-Market
Mid-level and senior marketing professionals actively job hunting on LinkedIn and Indeed in the US and UK
~2-3 million active job seekers in marketing and adjacent creative fields across major English-speaking markets
Organic posts in professional communities (marketing and career-focused subreddits, X/Twitter professional networks)
$9/month after a free tier of 10 posting evaluations
500 browser extension installs and 20 paying users within 30 days of launch
MVP Scope · 1–2 weeks
- Build Chrome extension skeleton that detects job posting URLs on LinkedIn and Indeed
- Create basic salary benchmarking database using BLS and Glassdoor public data for marketing roles
- Implement simple overlay UI showing a fairness score based on experience required vs salary listed
- Develop heuristic rules for detecting offshore posting patterns (fluent English requirements, unusually low pay)
- Set up a landing page with email capture for waitlist and free tier signup
- Add community reporting feature allowing users to flag postings as phishing or scam
- Integrate OpenAI API to analyze posting text for common phishing and data harvesting patterns
- Build user dashboard showing search history and flagged postings
- Implement freemium paywall using Stripe for users exceeding 10 evaluations per month
- Launch on Product Hunt and share in professional communities for initial feedback
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1Major job boards like LinkedIn may actively block the extension or change their DOM structure frequently, breaking functionality and creating unsustainable maintenance overhead.
- 2Salary benchmarking data may be too generic or outdated to provide accurate fairness assessments, leading to user distrust and abandonment.
- 3Users may be unwilling to pay for a tool they only need during a job search, resulting in high churn once employed and making the freemium model unviable.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Multiple commenters expressed frustration with misleading job postings, with several suggesting many listings are phishing attempts or data harvesting schemes. About five users discussed how roles appear to be offshore positions accidentally posted to domestic markets, identified by low pay and fluent English requirements. Six or more commenters complained about severe salary misalignment with experience requirements, noting that compensation offered was often half or less of what their responsibilities warranted. The recurring theme is a lack of tools to evaluate posting legitimacy and salary fairness in real-time.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Validate
Promising signals, but needs confirmation. Create a landing page, collect email sign-ups, then decide.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Job Posting Legitimacy & Salary Fairness Browser Extension
Sub-headline
A browser extension that overlays real-time legitimacy scores and salary fairness evaluations on job postings across major platforms. It detects potential phishing, offshore mismatches, and below-market compensation, saving job seekers hours of wasted effort.
Who It's For
For Mid-to-senior level marketing, design, and tech professionals actively job hunting who are frustrated by misleading postings
Feature List
✓ Real-time salary fairness score overlay on job postings ✓ Phishing and scam posting detection with community reporting ✓ Offshore posting pattern detection flagging geographic mismatches ✓ Responsibility-to-compensation ratio analysis ✓ Side-by-side regional salary benchmarking
Where to Validate
Share your landing page in r/r/marketing — that's exactly where these pain points were discovered.
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