{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c489f8ed159b4b20be81cbfb9288c70f\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c489f8ed159b4b20be81cbfb9288c70f-1d07365f7690eed4.gif","duration":213.1,"title":"YouTube Research System for Competition Analysis: A Client's Journey","description":"In this video, I demo a web application I developed for a client seeking a YouTube research system for competition analysis. The client wanted to analyze keywords, find relevant channels, and conduct detailed content analyses, but we faced significant limitations using NADN, which made the process much slower than anticipated. After realizing the inefficiencies, I transitioned to a full coding solution, resulting in a much faster and more effective tool. The application allows users to search keywords, view channel insights, and export data into Excel. I encourage you to consider how this kind of admin UI could benefit your internal tools or dashboarding needs."}