<?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/9f4d58ceb40d44faa2c8583cafda923b&quot; frameborder=&quot;0&quot; width=&quot;1634&quot; height=&quot;1225&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1225</height><width>1634</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1225</thumbnail_height><thumbnail_width>1634</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9f4d58ceb40d44faa2c8583cafda923b-5ba1112cf882f129.gif</thumbnail_url><duration>502.675</duration><title>Behind the Scenes of Ziptie.ai: Building a Multi-Tenant AI Search Tracking Tool</title><description>Hi everyone, I&apos;m excited to share the behind-the-scenes of Ziptie.ai, our tool for tracking brand mentions in the AI search era. I&apos;ve built a multi-tenant architecture from scratch to enhance collaboration and data tracking, moving away from our previous rigid version. The app now efficiently handles large data sets, and I&apos;ve implemented a dynamic Stripe flow for subscriptions, allowing users to customize their plans. Additionally, I&apos;ve created a custom Mixpanel plugin to analyze user interactions within the app. I encourage you to check out Ziptie.ai and explore its features!</description></oembed>