Fantom is a high-performance, scalable blockchain platform created to facilitate decentralized finance (DeFi) applications and various use cases. It employs a Directed Acyclic Graph (DAG) consensus algorithm known as Lachesis to achieve fast transaction finality and high throughput.
Features of Fantom are as follows
Lachesis Consensus
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- Lachesis is a DAG-based consensus algorithm that allows for asynchronous confirmation of transactions. It helps Fantom achieve high throughput and low-latency transactions.
Opera Mainnet
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- Fantom’s mainnet is referred to as the “Opera Mainnet.” It is the primary blockchain network where transactions, smart contracts, and other activities take place within the Fantom ecosystem.
Smart Contracts
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- Fantom supports the creation and execution of smart contracts, allowing developers to create DApps on the platform. These smart contracts operate on the Opera Mainnet.
Staking and Delegated Proof-of-Stake (DPoS)
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- Fantom uses a Delegated Proof-of-Stake (DPoS) mechanism for consensus, where validators are elected by token holders to produce blocks. Users can stake FTM tokens to participate in the network’s governance and earn rewards.
Interoperability
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- Fantom aims to enhance interoperability with other blockchain networks. The platform supports various token standards, making it possible for assets to move seamlessly between different blockchain ecosystems.
Ecosystem Growth
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- Fantom has seen the development of a growing ecosystem of projects and applications, particularly in the DeFi space. This includes decentralized exchanges, lending platforms, and other financial applications.
Fantom Improvement Proposals (FIPs)
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- The Fantom community can propose and implement changes to the network through Fantom Improvement Proposals (FIPs). This governance mechanism allows stakeholders to participate in decision-making.
Wallets and Infrastructure
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- Users interact with the Fantom Opera Mainnet through compatible wallets, and developers leverage the network’s infrastructure to build and deploy decentralized applications.