{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a189f3c00bdb4699afd657cae812dc7c\" 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/a189f3c00bdb4699afd657cae812dc7c-cd6b80c1523a4558.gif","duration":2417.595,"title":"Introducing Jelly Layer: A New Approach to OEV Extraction in Lending Protocols ","description":"Hello everyone, I'm Adi, and in this video, I present my project called Jelly Layer, which focuses on risk and compliance using the Chainlink Runtime Environment (CRE). Jelly Layer is a complete pipeline built on the CRE Go SDK that optimizes Oracle Extraction Value (OEB) specifically for lending protocols like Aave. I discuss the roles of borrowers, lenders, and liquidators in the liquidation process and highlight how my product can reduce unnecessary gas fees and improve efficiency in liquidations. I believe that by utilizing CRE, we can create a more organized approach for liquidators to secure positions without excessive costs. I encourage you to consider how this solution can enhance our current systems."}