Alga Back-End.
Useful Links :
App Website, Github, Tweet Announcement
Work Details
The work performed consists of the back-end
development of a widely used app among Ocean Protocol
users. We used various data mining techniques and
on-chain communication protocols (such as subgraph
queries or transaction fetching and decoding) to
extract interesting statistics on datasets and
liquidity pools on Ocean and on both Ethereum and
Polygon chains, such as liquidity history, number of
liquidity providers, arithmetic mean of the amount of
tokens consumed for using the dataset, and various
statistics on time intervals. This data is updated in
real-time and shared via the Rest API.
ClaimKitty Token Airdrop Smart contract & UI.
Useful Links :
App Website, Tweet Announcement
Work Details
ClaimKitty is an app made for all developers
with the aim of simplifying the AirDrop of tokens. We
have built a system that can airdrop tokens to any
number of users up to a few hundred thousand safely.
Users will be able to claim their tokens via a
platform page on Ethereum and the main EVMs (BSC,
Polygon, Arbitrium etc...).
Metadata analytics for NFTs Collection.
Useful Links :
Github, Tweet Announcement
Work Details
We created a tool for extracting and analysing the
metadata of the main NFT collections and delivered the
script to the user. The user obtained the metadata via
HTTPS requests and then calculated statistics on the
rarity of NFT traits such as the Rarity Score via the
formula shared by Rarity Tools. With this data, the
user was able to identify the most valued traits and
use it for his trading strategies.
NFT Collection Development.
Useful Links :
App Website,
Work Details
We are developing the NFT collection of the
ClaimKitty dApp. These NFTs will allow huge benefits
to the holders: they will get big discounts on AirDrop
creation fees and passive incomes on token exchange.
Otherdeed NFTs Trait Analysis for Ocean Market.
Useful Links :
App Website, Tweet Announcement
Work Details
We developed software that fetches and decodes
transactions from a given collection of NFTs. Two
types of traits are calculated from these
transactions: The most valued and the most profitable.
The former are calculated by considering different
price categories and calculating the frequency of a
given trait in the highest priced category. In this
way, the most valued traits can be defined. The most
profitable traits, on the other hand, are defined by
finding the NFTs with the highest ROI and using the
same frequency calculation mechanism.
Real time extraction and visualization of Tweets.
Useful Links :
Tweet Announcement
Work Details
We have developed a tool for TradeFi, a private group
of cryptotraders. The task consists in a crawler
capable of instantly extracting the tweets of a list
of accounts and archiving them in CSV format and
display on a Web Page. All of these accounts provides
insight into liquidity, volumes, whale activity etc.
of several cryptocurrencies.