Communityembeddingsgithiringprivacy
Task-Based Hiring Matches Candidates To Problems
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Relevance Score
A Hacker News poster proposes a task-based hiring workflow that uses issue tracker context (GitHub, Jira) to create 'problem vectors' and match them against candidates' activity vectors derived from git histories. The prototype targets public GitHub first and claims matches (e.g., 'Candidate X is a 90% match') while flagging enterprise privacy as a key challenge, proposing sanitized local extraction before LLM analysis. The approach aims to make hiring more task-aligned.
