Gemini

Screenshots

Problem Statement

Gemini allows users to create a funnel analysis for on-chain events. Generally, we have three main use cases the funnel analysis proves its importance.First, it tells us where the users went after a particular incident (i.e., hacks, or crashes)Second, it helps us understand users of a protocol (or protocols) better (i.e., where do users come from, how frequently they use the platforms, what are their protocol appetites for different dApps products)Third, it demystifies how users adopt new features when protocols make a drastic change to its platform (i.e., add competitor's features, add in new smart contracts logic, etc.)Essentially, our team thinks that knowing how users behave according to the above use cases is crucially important for the ecosystem. It allows builders to identify rising opportunities, attract users in a more proactive way, and adapt their platform with a focus on customer experience. Gemini is an important building block for dApps builders moving forward.Connect with us: https://twitter.com/getgeminiapp

Solution

For the frontend part, we used Next.js to build the UI with Echart for the funnel visualizerIn the Backend part, we use Nest.JS to provide services for frontend. We use a public subgraph from Messari to query data of events and store it in our local postgres to make it faster to query for later use.