Jobs at NFTGo

Data Value: We will not only build a series of basic trading indexes to visualize the data in a user-friendly way, but also create and optimize more upper-level indexes, such as liquidity, rarity, similarity, community activity, etc. We also want to use image identification and AI technology to obtain a series of subjective indicators of NFT by analyzing NFT metadata (such as pictures, videos, etc.), such as aesthetics and artistry. These indexes will make a solid foundation for our NFT evaluation service in the future. Output our data to various situations: Based on our constantly improving NFT data capabilities, we will provide the market with valuable data reference, and will show it in different forms, including websites, Discord bots, Twitter robots, open API, browser widgets, etc. website and Discord robots are main forms to perform our data capability which allow NFT projects to add a service for their community members to query project data. In this way our data capabilities are able to infiltrate more user groups. NFT Evaluator: NFT price evaluation has the greatest impact on NFT liquidity, and it is also a key obstacle for new users to enter the market. We hope to build our own valuation model based on existing data indexes, such as floor price, rarity score, similarity, liquidity, etc., and output our opinions to users. At the same time, through a series of data output terminals (described in point 2), collect user feedback on our valuation (such as high or low) to the training model to adjust the evaluation in real time. Aggregated Transaction: Web3.0 entry is not only based on traffic, but also based on transaction experience. We believe that there will be more trading markets like OpenSea in the future. And due to the characteristics of NFT, we can enable users to place orders, quotes, and purchases in multiple markets with one click, optimize trading experience, and save operating costs (even the transaction cost) in order to improve