<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/582bbceb26d24597a7b4155f38c42a52&quot; frameborder=&quot;0&quot; width=&quot;1908&quot; height=&quot;1431&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1431</height><width>1908</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1431</thumbnail_height><thumbnail_width>1908</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/582bbceb26d24597a7b4155f38c42a52-a95270e3f3022353.gif</thumbnail_url><duration>397.168</duration><title>CandidHire | AI Hiring That Scores Real Proof</title><description>This Loom argues that current hiring is broken because resume keyword filtering and aptitude tests do not prove role fit. It explains that CanItHire evaluates evidence from a candidate’s resume plus real proof of work such as GitHub repositories, portfolios, blog posts, and communication, matching results to the job description. In a demo, the creator uploads their resume and portfolio (navayone.com), and the AI takes a few seconds to compute a score out of 100, showing 68, with standout positives and red flags like low star repos, concerns about reliance on tools, and abandoned older repos. The product can connect to existing recruitment systems and rank candidates based on actual work to reduce recruiter time spent on poor matches.</description></oembed>