{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/30a301bb8d524f40aa855e2a9e68c3a9\" frameborder=\"0\" width=\"1908\" height=\"1431\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1431,"width":1908,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1431,"thumbnail_width":1908,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/30a301bb8d524f40aa855e2a9e68c3a9-591cfc9e1c29e6e3.gif","duration":87.809,"title":"Optimizing Innovation: Early Signals for Startup Success 🚀","description":"In this video, I discuss the importance of avoiding slow execution in research and innovation, which often leads to pursuing the wrong direction for too long. To address this, we've developed an AI-powered external signal agent that evaluates startup ideas before committing time and resources, analyzing real-world data to measure risk early. For instance, it assesses competition density, market saturation, and organic demand signals to provide a risk factor for each idea. I encourage you to consider how this tool can help us identify high-risk ideas and improve our decision-making process. Let's leverage this technology to enhance our innovation strategy."}