OpenLens
AI-powered search of Lens profiles based on Lens posts and on-chain activity
Demo
About
The problem it solves OpenLens helps you find whom to follow on Lens, not just based on Lens activity but also by utilizing all the on-chain data the user has. Some possible use cases for OpenLens include: - Finding top investors in specific coins, from whom you can gain more insights on Lens. - Discovering Lens profiles of people who attended specific events, exploring their interests, and following them for event-related posts. One example that we have implemented is finding Lens profiles of people who minted ETH Prague Poap. In addition to providing a list of profiles, we have enabled a search feature with an open query string. This search considers the on-chain activity of attendees, such as whether they hold meme coins or not, and their latest Lens posts.
How it's made
Challenges we ran into Using an AI model can be expensive; therefore, we have implemented optimizations to reduce the user activity we retrieve from Lens and on-chain. We also had to reduce the training dataset size to improve speed and algorithmic efficiency.