<?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/f5ca7af0a83b4494ab1aacd5d4b3eeed&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f5ca7af0a83b4494ab1aacd5d4b3eeed-9795fc811b932788.gif</thumbnail_url><duration>104.34</duration><title>Building a Sports Job Marketplace with AI</title><description>This Loom explains the sports job marketplace and how it enables faster, filtered hiring. The creator says they have found sports roles from short term gigs to social media related jobs, noting there are 36,000 jobs available but many are behind a paywall. The platform exposes job applications through an MCP server, letting candidates pay via the API for applying to jobs as a paid feature, while offering free search and one by one applications. Employers can post jobs for free and use an AI fitment score feature to filter candidates more quickly.</description></oembed>