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For years, I watched talented engineers get rejected before a recruiter ever spoke to them. The frustrating part? Most of them weren't underqualified. Their resumes just didn't communicate impact. I kept seeing the same problems: "Built APIs using Node.js..." "Worked on machine learning models..." "Used React and AWS..." Lots of tools. Very little evidence of business impact, scale, ownership, or results. So I built HMLens AI (HM = Hiring Manager). Upload yo...
Comments (3)
ats keyword filtering wastes so much engineering talent, glad someone is fixing this bottleneck
what's under the hood? gpt fine-tune or custom nlp pipeline?
typography on the landing page looks super clean tbh
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