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Job discovery and application tracking

Optyfind

Optyfind is an online job-search and application-tracking platform that processes approximately 800,000 postings each day. It filters out old and repeated listings, then evaluates newly discovered opportunities against a person’s actual skills and experience.

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Optyfind project screenshot

The Challenge

Job-search platforms repeatedly surface old, duplicated, or poorly matched postings. Job seekers spend significant time sorting through listings that are no longer fresh or do not fit their actual experience.

The Approach

I designed and built Optyfind around freshness and relevance. A posting must fall within a 24-hour freshness window. The system examines posting content and original-posting information supplied by applicant-tracking systems to recognize repeated or resurfaced jobs. Fresh postings are then evaluated against the user’s skills and experience.

Highlights

  • Original product conceived, architected, and built by me
  • Approximately 800,000 jobs processed daily
  • Strict 24-hour freshness rule
  • Content-based repeated-posting detection
  • Use of original ATS posting information
  • Skills- and experience-based matching
  • Application tracking in the same product
  • Focus on reducing stale and irrelevant results

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