<?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/809ba321e582446186b57461191662fa&quot; frameborder=&quot;0&quot; width=&quot;1434&quot; height=&quot;1076&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1076</height><width>1434</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1076</thumbnail_height><thumbnail_width>1434</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/809ba321e582446186b57461191662fa-0e38ad6c28b7e4be.gif</thumbnail_url><duration>181.477</duration><title>ClutchView - Live Player Projections | React Native Case Study</title><description>This Loom demos Claude View, a focused React Native second screen for tracking player program projections during live European soccer matches. Mustafa explains that the app uses a deterministic typed event stream to drive score projections and match tape freshness, with the same fixture powering both the demo and automated tests. In a simple live demo, he resets the match, increases playback speed, and shows how projected player actions such as Mac O’... (Macross Bennett mentioned) scoring are reflected with enhanced visual updates including optics and voiceover, while preventing duplicate event delivery and ensuring celebrations are not duplicated. He concludes by noting the deterministic behavior works with static data and can be plugged into real data from any source.</description></oembed>