Show HN: Sifter – Does your CV *actually* stand out to LLMs? (www.sifter.sh)

Sifter is a new tool designed to assess whether a CV is competitive enough to stand out to large language models (LLMs) used in the hiring process. Users can upload their CV in PDF or DOCX format or paste the content directly to simulate how it performs against the top 20% of CVs that typically advance in recruitment screenings. The tool offers a clear output on how well a CV measures up, providing insights that go beyond traditional formatting and content guidance. This development is significant for the AI/ML community as it highlights the growing intersection of AI technology and human resources, specifically in how LLMs are reshaping recruitment strategies. By leveraging machine learning to analyze CVs, Sifter not only informs job seekers about their chances of getting noticed by automated systems but also emphasizes the need for candidates to optimize their applications for AI-driven evaluations. As the workforce increasingly relies on AI to filter applicants, tools like Sifter could become essential for job seekers aiming to enhance their visibility in a competitive job market.