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84score
HN · front_page
Freemium plus SaaS subscription and API licensing
Build

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.

5 canauxTendance des mentions sur 30 jours: latest 1, peak 6, 30-day series
Voir sur Reddit
Découvert 26 juil. 2026

Pourquoi c'est important

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.

  • · Conçu pour Active job seekers, career platforms, and job boards that want to reduce fake or stale listings and help users prioritize real opportunities..
  • · Monétisation la plus probable : Freemium plus SaaS subscription and API licensing.

La douleur · Récit

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.

Détail du score

Intensité du problème9/10
Volonté de payer6/10
Facilité de réalisation5/10
Durabilité8/10

Signal du marché

Tendance des mentions sur 30 joursPic : 6
Sparkline: latest 1, peak 6, 30-day series
Canaux couverts
front_pageproductivitystartupswebdevsaas

Mise sur le marché

Utilisateur cible exact

White-collar job seekers applying to 20 or more roles per month, especially in software, operations, and business functions.

Nombre d'utilisateurs estimé

A few hundred thousand highly active global users in the initial niche, with millions adjacent.

Canal d'acquisition principal

SEO long-tail

Ancre de prix

$15/month

Premier jalon

500 extension installs and 30 paid upgrades within 30 days from search traffic around fake or stale job listings

Périmètre MVP · 1–2 semaines

Semaine 1
  • 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
Semaine 2
  • 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
Fonctions MVP: 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

Différenciation

Solutions existantes
GlassdoorExternal recruiting vendors
Notre angle
There is no widely trusted product that combines employer process transparency, candidate-side ghosting intelligence, and employer-side workflow safeguards in one lightweight online product.

Pourquoi cela pourrait échouer

Auto-contre-argument — le signal de confiance le plus important

  1. 1The strongest risk is data ambiguity: without employer-confirmed outcomes, trust scores may feel speculative and expose the product to credibility attacks.
  2. 2Candidates may use the product heavily during a search but resist ongoing subscription payments, forcing dependence on ads or partner licensing.
  3. 3Major job platforms could limit scraping or replicate the most visible scoring features once demand is proven.

Résumé des preuves

Comment l'IA a synthétisé cet aperçu — pas de citations textuelles

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.

1 1 publication analysée5 5 canauxAI · Synthétisé par IA · pas de citations

Plan d'Action

Validez cette opportunité avant d'écrire du code

Prochaine Étape Recommandée

Construire

Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.

Kit de Textes pour Landing Page

Textes prêts à coller, basés sur le langage réel de la communauté Reddit

Titre Principal

Verified Job Posting Transparency API

Sous-titre

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.

Pour Qui

Pour Active job seekers, career platforms, and job boards that want to reduce fake or stale listings and help users prioritize real opportunities.

Liste des Fonctionnalités

✓ 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

Où Valider

Partagez votre landing page sur r/HN · front_page — c'est exactement là que ces points de douleur ont été découverts.

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Questions fréquentes

Qui rencontre ce problème ?
Active job seekers, career platforms, and job boards that want to reduce fake or stale listings and help users prioritize real opportunities.
Est-ce une réelle opportunité ?
Cette opportunité obtient un score de 84/100 selon la métrique composite de Pain Spotter (intensité du problème, propension à payer, faisabilité technique et viabilité). Validez-la davantage avant d'y consacrer du temps de développement.
Comment dois-je la valider ?
Menez 5 entretiens de découverte client avec le public cible, publiez une landing page avec une liste d'attente, et vérifiez l'activité récente sur le post source lié avant de commencer le développement.