AI-Powered Job Platform Scrapes Internal Pages for Personalized, High-Quality Job Matches

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Business Idea:
A smart job matching platform that scrapes internal corporate career pages, filters relevant listings using AI, and personalizes job recommendations based on user CVs, streamlining job search for candidates and companies.

Problem:
Many companies hide job openings on internal pages, making it difficult for job seekers to find all relevant opportunities. Additionally, job boards often show irrelevant or “ghost” listings, wasting applicants’ time.

Solution:
An AI-powered platform that crawls over 70,000 corporate sites to extract internal job postings, filters listings to match users’ CVs accurately, and provides personalized, high-quality job recommendations—reducing clutter and improving matching precision.

Target Audience:
Job seekers seeking personalized job matches, career changers, and passive candidates; HR teams and recruiters looking for better candidate sourcing; companies wanting to promote internal opportunities effectively.

Monetization:
Subscription plans for recruiters and companies to access premium sourcing tools; freemium model for users with paid tiers for advanced matching features; potential licensing of scraping/AI tech.

Unique Selling Proposition (USP):
We tap into internal company pages often missed by traditional job boards, combine extensive web scraping with advanced ML matching, and offer users more relevant, insider job opportunities—cutting through the noise.

Launch Strategy:
Start with a pilot targeting a niche industry, test scraping for quality and accuracy, gather user feedback on matching relevance, then expand partnerships with companies for direct access to internal job postings, and promote via online channels.

Upvotes: 83

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