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https://doi.org/10.2...arrow_drop_down
https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Capturing and Distributing Cryptographic Luck: From NFTs and Meme Coins with Inherent Value to Future SuperCurrencies

Authors: Badface, Tristan;

Capturing and Distributing Cryptographic Luck: From NFTs and Meme Coins with Inherent Value to Future SuperCurrencies

Abstract

Cryptocurrencies, non-fungible tokens (NFTs), and more recently meme coins have emerged as significant assets in the digital economy. Yet their value is often, rightly or understandably, regarded as purely speculative. We initially propose and demonstrate an extension of the traditional Proof-of-Work (PoW) mechanism, employing two strictly sequential, highly correlated, perceptually significant PoWs to establish reproduction-cost-based inherent value in native, tokenizable blockchain assets. A proof of concept is implemented on the Ethereum blockchain as an NFT collection 0xBadFace with contract address 0xBadFace1EaDA67F194fd202E48E5B2Ca2203c3e2 created by a smart contract with address 0xBadFace1AA3AbB02cb2Ce3c11F4EA3B9d428F676. The current (as of August 2025) estimated inherent value of such an asset is between 0.5 and 2.8~USD. The estimated required energy input is about 2.8 kWh. We explore how this concept may be extended to the creation and initial distribution of a new class of digital currencies, discovered through a global, coordinated, yet decentralized search for high-value public cryptographic artifacts — tokenized, exceptionally rare, culturally significant memes embedded in PoWs on blockchains.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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