Show HN: Hirelens – AI Resume Analyzer for ESL and Global Job Seekers https://ift.tt/8Pw3NR5

Show HN: Hirelens—AI Resume Analyzer for ESL and Global Job Seekers I built Hirelens (https://hirelens.co) after seeing many ESL and international job seekers struggle with resumes that don’t match job descriptions or parse cleanly in ATS systems, even when they have strong experience. What it does: Extracts skills/experience from a resume Compares it to a target job description Flags unclear or “non-native” phrasing Suggests clearer rewrites Identifies ATS parsing issues Deletes files after processing (no storage) Tech: Next. js + FastAPI, lightweight CV parsing → embeddings → scoring logic, LLM-based suggestions, no data retention. I’d love feedback on parsing edge cases Rewriting for clarity what features matter most for job seekers or hiring managers Try it here: https://hirelens.co https://ift.tt/cB23jt6 November 17, 2025, at 12:37AM

Here’s a powerful commentary you could place right below your original Show HN post to spark deeper engagement and highlight the bigger picture:

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Commentary:
What excites me most about Hirelens isn’t just the parsing or the rewrites—it’s the potential to level the playing field for global talent. The hiring process is often biased toward native phrasing and perfectly formatted resumes, which means brilliant candidates can be overlooked before a human even reads their application. By surfacing skills, aligning them with job descriptions, and clarifying language, Hirelens is tackling a subtle but systemic barrier in hiring.

From a technical perspective, the stateless design (no data retention) is a strong trust signal. Many resume tools feel risky because they store sensitive career data; Hirelens avoids that entirely. The combination of embeddings for alignment and LLMs for phrasing suggestions is lightweight but powerful—it’s not just “AI magic”; it’s a thoughtful architecture that respects privacy while solving a real-world problem.

The big question for me is how far can this go beyond resumes? Could Hirelens eventually help candidates tailor cover letters, LinkedIn profiles, or even portfolio descriptions? If the mission is to make global hiring more meritocratic, expanding into those adjacent areas could be transformative.

In short: Hirelens isn’t just another resume analyzer—it’s a shot at reducing friction in global hiring, where talent should matter more than formatting quirks or linguistic polish. That’s a vision worth building toward.

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