CrossDrop

Screenshots

Problem Statement

Web3 marketers and growth-focused product managers consistently seek innovative strategies to pinpoint high-quality user segments within the Web3 space. A key tactic in this endeavor is the deployment of "targeted vampire attacks," which is where our product offers a unique advantage. Our tool enables users to refine their existing audience, effectively filtering out irrelevant or spam interactions. This is achieved by focusing on authentic wallet addresses that meet user-defined criteria, ensuring a more focused and effective targeting approach in the Web3 ecosystem.Linkshttps://crossdrop-priyadarshss.vercel.app/https://drive.google.com/drive/folders/1Nz_-8KrHhzoyA7mxyfwGQZpwjsP4F9pG?usp=sharing

Solution

We initially envisioned a user interface where natural language inputs would be seamlessly translated into specific use cases. However, due to time constraints during the hackathon, this feature could not be implemented. Consequently, we adopted an alternative approach where users upload their audience data and adjust parameters manually.Our experience integrating with Airstack proved to be more complex than anticipated. We encountered inconsistencies, as identical queries yielded varying results depending on when they were executed.