{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9f4d58ceb40d44faa2c8583cafda923b\" frameborder=\"0\" width=\"1634\" height=\"1225\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1225,"width":1634,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1225,"thumbnail_width":1634,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9f4d58ceb40d44faa2c8583cafda923b-5ba1112cf882f129.gif","duration":502.675,"title":"Behind the Scenes of Ziptie.ai: Building a Multi-Tenant AI Search Tracking Tool","description":"Hi everyone, I'm excited to share the behind-the-scenes of Ziptie.ai, our tool for tracking brand mentions in the AI search era. I'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've implemented a dynamic Stripe flow for subscriptions, allowing users to customize their plans. Additionally, I'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!"}