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Verified Job Posting Transparency API
Build a data product that scores whether job postings appear genuine, active, and likely to be filled based on posting history, closure signals, duplicate detection, and crowd-confirmed outcomes. Sell it to job seekers as a browser extension and to recruiting platforms or job boards as an API that improves trust and application quality.
Why this matters
You spend hours tailoring applications, only to realize some roles may never have been serious openings in the first place. A listing looks active, but it may have been reposted over and over, quietly redirected to internal candidates, or simply left hanging while nobody communicates. Existing review sites tell you how people felt about an employer, not whether this exact role tends to close, stall, or vanish. What you want before investing time is a trust layer that tells you whether a posting behaves like a real hire, so you can stop wasting effort on dead-end applications.
- · Built for Active job seekers, career platforms, and job boards that want to reduce fake or stale listings and help users prioritize real opportunities..
- · Most likely monetization: Freemium plus SaaS subscription and API licensing.
The Pain · Narrative
You spend hours tailoring applications, only to realize some roles may never have been serious openings in the first place. A listing looks active, but it may have been reposted over and over, quietly redirected to internal candidates, or simply left hanging while nobody communicates. Existing review sites tell you how people felt about an employer, not whether this exact role tends to close, stall, or vanish. What you want before investing time is a trust layer that tells you whether a posting behaves like a real hire, so you can stop wasting effort on dead-end applications.
Score Breakdown
Market Signal
Go-to-Market
White-collar job seekers applying to 20 or more roles per month, especially in software, operations, and business functions.
A few hundred thousand highly active global users in the initial niche, with millions adjacent.
SEO long-tail
$15/month
500 extension installs and 30 paid upgrades within 30 days from search traffic around fake or stale job listings
MVP Scope · 1–2 weeks
- Define a schema for job posting fingerprints, repost detection, and outcome events
- Build a scraper or ingestion pipeline for 2 major public job sources
- Create a basic company and role history database in PostgreSQL
- Implement a first-pass scoring model using repost age, duplicates, and closure signals
- Launch a landing page collecting emails from job seekers interested in trust scores
- Ship a Chrome extension that displays a simple trust score on supported listings
- Add user-submitted status reporting for interview, rejection, ghosting, and hire outcomes
- Build an internal moderation dashboard for suspicious submissions
- Create company pages showing posting recurrence and response patterns
- Test a paid plan with saved alerts and expanded historical data access
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The strongest risk is data ambiguity: without employer-confirmed outcomes, trust scores may feel speculative and expose the product to credibility attacks.
- 2Candidates may use the product heavily during a search but resist ongoing subscription payments, forcing dependence on ads or partner licensing.
- 3Major job platforms could limit scraping or replicate the most visible scoring features once demand is proven.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Discussion clustered around distrust of job ads, repeated concern that some listings are not genuine, and demand for public records showing whether roles are truly filled. Multiple commenters wanted a harder-to-manipulate alternative to employer review sites. Others linked ghosting to the same opacity problem: applicants cannot tell whether silence reflects a slow process, a broken workflow, or a role with no serious intent to hire.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Verified Job Posting Transparency API
Sub-headline
Build a data product that scores whether job postings appear genuine, active, and likely to be filled based on posting history, closure signals, duplicate detection, and crowd-confirmed outcomes. Sell it to job seekers as a browser extension and to recruiting platforms or job boards as an API that improves trust and application quality.
Who It's For
For Active job seekers, career platforms, and job boards that want to reduce fake or stale listings and help users prioritize real opportunities.
Feature List
✓ Job authenticity score based on repost frequency and closure patterns ✓ Browser extension overlay on major job boards ✓ Crowdsourced outcome reporting with moderation rules ✓ Company-level ghost rate and response-time benchmarks ✓ API for partners to surface trust signals in listings
Where to Validate
Share your landing page in r/HN · front_page — that's exactly where these pain points were discovered.
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