Dogecoin-killer Shiba Inu spiked on Thursday after one of the ecosystem’s lead developers revealed new functionality that will affect NFTs within the upcoming Shibarium ecosystem.

The upgrade will let users link NFTs to real-world assets to provide authentication and proof of ownership for physical items.

Shibacals: Proof of Ownership On Shibarium

Shibarium is a metaverse and NFT-focused layer 2 blockchain that will operate using the Shiba Inu ecosystem’s three tokens: SHIB, BONE, and LEASH.

The blockchain – expected to go live later this year – will include blockchain gaming, “decentralized” entertainment, account abstraction, and international governance, according to developer Shytoshi Kusama’s Thursday blog post.

This, he wrote, will require establishing trust through various systems in Shibarium – one of which will be “authenticated collectibles” known as “Shibacals.”

“Shibacals zeroes in on [authenticity] and [aesthetic appeal], fostering an authentication layer that supercharges the concept of collectibility,” wrote Kusama. The developer sees both elements as core components of what defines a collectible, alongside scarcity, demand, historical significance, and other factors.

Through Shibacals, Shibarium will authenticate real-world items through an NFC chip, which can link to “dynamic destinations setting up myriad possibilities that are ideal for businesses.” The developer likened the idea to authentication of items on eBay, except Shibarium would also create items in-house, and leverage blockchain transactions.

Kusama suggested that Shibacals collectibles may require 4 to 6 weeks to complete, as they will usually be “high quality” and “handmade.” Developers are already in discussion with multiple blockchain teams to leverage its authentication tech.

“Any crypto community, from Bitcoin Ordinals to your preferred alt-coin, can leverage this service to rapidly boost engagement through the production of authenticated collectibles,” concluded the post.

SHIB Price Boost

After the announcement, SHIB r