Jack Shea, the founder of the famous NFT-project NeoNexus, announced the termination of the startup based on the Solana blockchain. The man announced it on his official Twitter account, noting that the main reason for such a drastic decision was the sudden drop in SOL digital asset prices.
From the words of the chief developer we can conclude that he does not intend to invest neither money nor energy into the development of this NFT startup anymore. In this context, it is worth noting that despite such a staunch stance, several new NFT collections will still be released.
“We previously announced the release of new non-interchangeable tokens. We promised. We will do it, but for the last time”, Shea emphasized in his message to users.
As of today, we know that the NeoNexus meta-universe project has been able to collect about 25,000 SOL on a variety of “NFT courts” throughout its existence. This, analysts say, based on the unstable rate of the coin, is approximately from $2 million to $4 million.
About the profit of the project, there was a real dilemma between the experts, they are still sharing speculation about how much NeoNexus actually earned.
“The net income received by the project during the period of its existence depends on the moment at which they sold SOL coins, and whether they were sold at all. So, for example, at the time of writing, based on the value of the coin, the profit of NeoNexus could approximately make $2.5 million. Here we should not forget about the period, when the digital asset SOL rose in price to $150. Having exchanged their crypto-savings for dollars in those “happy minutes”, NeoNexus could get a “gain” of $4 million”, – said in an analytical article of one of the experts.
At the end it is worth adding that among the last NFT-collections that NeoNexus is going to release, there will be non-interchangeable tokens in the form of movie characters, vehicles and various accessories.
As a reminder, we previously reported that Mark Zuckerberg announced his intention to introduce NFT to Instagram.