Datamine Network Unveils Cross Coin Trend Analytics Update

๐ก AI Article Summary
Seamless UX for Cross-Coin Analytics
Datamine Network is developing a new cross-coin trends interface to streamline ecosystem analytics. This update integrates the network's signature "instant UX," featuring smooth infinite scrolling to let users navigate complex multi-token data seamlessly. By providing a unified view, the dashboard aims to make on-chain metrics more accessible for all network participants.
Upcoming Features and Data Optimization
With initial data-fetching successfully implemented, the development focus shifts to data refinement. Upcoming enhancements will introduce advanced filtering and sorting mechanisms. This will allow validators and users to track metrics across DAM, FLUX, ArbiFLUX, and LOCK easily, supporting the ecosystem's commitment to on-chain transparency and real-time data integrity.
Hey guys wanted to show you a small progress update on the cross- coin trends.
First of all we'll use the same "instant UX" that you're used to across the entire network. This includes infinite scrolling so you can scroll through the trends with ease.
The screenshot here is to show that we're fetching the data, tomorrow I will start on cleaning up this data and adding things like filtering & sorting. There is still lots to come so be sure to stay tuned to see how this evolves ๐ฅ
Frequently Asked Questions
What are cross-coin trends in the Datamine Network?
Cross-coin trends refer to the analytical tools tracking the dynamic interactions, prices, and inflation rates among the four ecosystem tokens: DAM, FLUX, ArbiFLUX, and LOCK.
What UX features are included in this analytics update?
The update utilizes Datamine's "instant UX" framework, featuring infinite scrolling for frictionless navigation through historical and real-time blockchain data.
What upcoming features are planned for the trends dashboard?
Future dashboard updates will introduce data filtering and sorting tools, allowing users to customize and isolate specific token metrics.