In a series of newly released tweets, Dogecoin co-founder Billy Markus has taken a shot at Shiba Inu’s metaverse concept.
The software developer, who rose to fame on Twitter due to his numerous confrontations with Tesla CEO Elon Musk, says that selling fictitious land with Ethereum will not increase the currency’s utility. Shiba Inu provided specifics about its metaverse project, which was first unveiled in early February. More than 10,000 land plots will be available for purchase during the initial phase of the implementation. SHIB’s developers argue that Ethereum (ETH) was chosen for pricing since it is a neutral coin.
Markus believes that the metaverse initiative is nothing more than a money grab for developers looking to earn even more money. He projected that selling fictitious land might net them $300 million. The Dogecoin co-founder also expressed concern that securities regulators would object to the Shiba Inu team’s idea of allowing landowners to receive passive revenue. Markus writes in a subsequent discussion that seeing “scammers” make millions with cryptocurrency makes him “salty.”
people always call me out for being salty
of course i’m salty! i made like 3 grand total directly from making a crypto that had a market cap of 80 billion dollars
watching scammers and shady crap make millions all day + strangers attacking me all day, who wouldn’t be salty 🤣
— Shibetoshi Nakamoto (@BillyM2k) March 31, 2022
Shiba Inu, which marketed itself as a “Dogecoin killer,” temporarily surpassed the market value of the original meme coin in October. Markus accused the Shiba Inu community of bullying him and requested its members leave him alone after being bombarded with spam messages in November. The co-founder of Dogecoin has repeatedly stated that he has nothing to do with the competing meme token. Meanwhile, veteran cryptocurrency expert Alex Krüger says that metaverse land is expensive and overhyped since it can be produced in endless numbers. He argues that while determining the value of virtual land, investors should employ real-world mental models.
