Blockchain

The Terra Classic (LUNC) tokenomics model is a system of supply, distribution, incentives, and deflationary mechanisms built around its native token, LUNC. It is designed to support network operations, governance, and value transmission. After the Terra ecosystem underwent major structural changes and began reorganizing, LUNC’s token model shifted from a “stablecoin minting-driven” model to a “deflationary and community-driven” model, and it is now used in areas such as transactions, staking, and governance.From a market perspective, the core issue currently facing Terra Classic (LUNC) is its extremely high circulating supply and the inflationary structure left over from its history. As a result, the focus of its tokenomics is no longer expansion, but supply contraction through its burn mechanism and governance adjustments, while still preserving the network’s basic functions. From the perspective of blockchain and digital assets, LUNC is a typical example of a “post-crisis reconstruction token model.” Its ec

The core difference between Fluent and Monad is that Fluent enables cross-environment execution through multi-virtual-machine fusion, while Monad pursues maximum performance by optimizing a single virtual machine.

The BLEND token is used to pay execution fees in the Fluent network, incentivize node participation, and carry governance rights. It is the core economic tool that keeps the multi-virtual-machine execution system running.

Fluent is an Ethereum Layer2 network that uses Blended Execution to unify multiple virtual machines within a single execution environment.

Litecoin halving refers to the event where the block reward received by miners is reduced by 50% after every 840,000 blocks are produced on the Litecoin network. This mechanism slows the rate of new LTC issuance, strengthens asset scarcity, and may affect market supply and demand. Historical data shows that Litecoin halving usually creates expectations of price increases before the event, but post halving price trends are still influenced by market sentiment and broader market conditions.

Litecoin (LTC) and Bitcoin (BTC) are both decentralized cryptocurrencies based on proof of work (PoW), but they differ significantly in transaction speed, fees, supply, and market positioning. Bitcoin is known for its scarcity and value storage function, often referred to as “digital gold,” while Litecoin stands out for faster transaction confirmations and lower fees, earning the title of “digital silver.”

Litecoin (LTC) is a decentralized blockchain based digital currency created by Charlie Lee in 2011. It was designed to offer faster transaction confirmations and lower fees than Bitcoin. As a PoW public blockchain that uses the Scrypt algorithm, Litecoin is often called “digital silver” and is widely used for payments, asset transfers, and crypto asset allocation. With its stable network, low fees, and strong liquidity, Litecoin remains one of the important foundational assets in the crypto market today.

GRT is the native utility token of The Graph network. It is mainly used to pay on-chain data query fees, support Indexer node staking, and participate in protocol governance. As the core incentive tool of a decentralized data indexing protocol, GRT’s value mainly comes from growth in on-chain data query demand, increased node staking demand, and the expansion of The Graph ecosystem.

The Graph and Chainlink are both Web3 infrastructure protocols, but they play different roles. The Graph focuses on blockchain data indexing and querying, providing efficient data access services for DeFi, NFT, and DAO applications. Chainlink, by contrast, provides decentralized oracle services that transmit off-chain data into smart contracts. In simple terms, The Graph is responsible for “reading on-chain data,” while Chainlink is responsible for “bringing in off-chain data.” Together, they form an important part of Web3 data infrastructure, and the value logic of their tokens, GRT and LINK, depends respectively on demand for data queries and demand for oracle calls.

The Graph defines indexing rules through Subgraphs, uses Indexers to carry out data indexing tasks, and provides efficient data query services through GraphQL. It helps developers quickly access on-chain data and significantly reduces the cost of data processing for Web3 applications. The Graph’s operating mechanism makes it important infrastructure for applications such as DeFi, NFTs, and DAOs, while also serving as a key source of value for the GRT token.

The Graph (GRT) is a decentralized blockchain data indexing protocol designed to help developers access and query on-chain data more efficiently. Through technologies such as Subgraphs, Indexers, and GraphQL, it provides foundational data services for Web3 applications including DeFi, NFTs, and DAOs. GRT is the native token of The Graph network and is used for paying query fees, staking rewards, and network governance.

This article leverages marketplace data logic, platform strategy shifts, and regulatory trends to examine the genuine growth path of NFTs in the post-speculation era—transitioning from avatar trade toward verifiable digital equity, content distribution, and on-chain commercial infrastructure. It also outlines three practical future development scenarios and participation strategies.

Arbitrum has frozen around $72 million in hacker assets, igniting debate over the boundaries between decentralization and governance. This article examines the reconstruction of DeFi trust structures through the lens of the Kelp DAO attack, cross-chain risks, on-chain governance mechanisms, and marketplace reactions.

Blockchain.com has introduced Perpetual Futures Trading to its Non-Custodial Wallet, enabling users to use Bitcoin directly as collateral for leveraged trading. This article explores the mechanism behind this feature and examines its implications for trading models.

The Diem (DIEM) tokenomics model is a supply, incentive, and value distribution system built around on-chain AI compute resources. By linking staked assets (VVV) with demand for compute usage, it turns “compute as an asset” into a tokenized model. Unlike general-purpose tokens, DIEM’s core value does not come solely from trading or governance. It is directly tied to the production and use of AI compute resources.