<?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/af44351d1a0a4d81882ea72e2c750c44&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/af44351d1a0a4d81882ea72e2c750c44-611f86e3941fcb77.gif</thumbnail_url><duration>576.1797</duration><title>Enhancing Hyperindex Performance 🚀</title><description>In this video, I’m excited to share our progress on a new low-level API designed to improve Hyperindex&apos;s performance by addressing bottlenecks caused by sequential external calls. We’ve benchmarked the system, and while it previously took 13 minutes to process 12,000 events, our new approach significantly reduces this time. I encourage you to start experimenting with this API in the next version, as it’s still experimental but holds great potential for future enhancements. Please let me know your thoughts and any feedback you might have!</description></oembed>