• Jeremy Wood

    Jeremy Wood

    Jeremy Wood is one of the co-founders of IOHK (Input Output Hong Kong), the company responsible for the development of Cardano, alongside Charles Hoskinson. In 2015, Jeremy Wood and Charles Hoskinson separated from the Ethereum team and co-founded Input Output Hong Kong (IOHK). The goal was to build a scalable, energy-efficient alternative to Ethereum. Wood…

  • IOHK (Input Output Hong Kong)

    IOHK (Input Output Hong Kong)

    IOHK (Input Output Hong Kong) is a technology company founded by Charles Hoskinson and Jeremy Wood in 2015. It focuses on blockchain research and development. IOHK is best known for its work on Cardano, a decentralized blockchain platform that aims to provide a more secure, scalable, and sustainable ecosystem for the development of decentralized applications…

  • Hydra Heads

    In Cardano’s Hydra protocol, Hydra heads are off-chain environments or “channels” where a group of participants can conduct transactions independently from the main Cardano blockchain. These heads allow participants to perform fast, cheap, and secure transactions among themselves without needing to constantly interact with the main chain. The Hydra Head protocol aims to enhance the…

  • Why the Crypto World Is Excited About Cardano’s Hydra

    Why the Crypto World Is Excited About Cardano’s Hydra

    The blockchain space has seen exponential growth in recent years, but along with that growth comes one of the biggest challenges: scalability. As more users join and transactions increase, many blockchains struggle to maintain speed, efficiency, and low fees. This is where Cardano’s Hydra comes in—a layer 2 solution designed to scale the network without…

  • Cardano’s Hydra

    Hydra is a layer-2 scaling solution designed for the Cardano blockchain to significantly enhance its transaction throughput and efficiency. As the Cardano ecosystem grows with decentralized applications (dApps), decentralized finance (DeFi), and other blockchain-based services, the demand for higher scalability, low fees, and faster transaction processing increases. Hydra addresses these needs by enabling the blockchain…

  • Byzantine Fault Tolerance (BFT)

    Byzantine Fault Tolerance (BFT) on Cardano refers to the blockchain’s ability to function correctly even when some nodes in the network behave maliciously or incorrectly, either due to bugs, network failures, or deliberate attacks. In a distributed system like Cardano, where multiple nodes work together to maintain consensus, BFT ensures that the network can tolerate…

  • Crash Fault Tolerance (CFT)

    Crash Fault Tolerance (CFT) on Cardano refers to the blockchain’s ability to continue operating correctly even if some nodes in the network experience failures or become unresponsive. CFT is a crucial aspect of distributed systems like blockchain, where multiple nodes work together to maintain the ledger and validate transactions. Key Aspects of Crash Fault Tolerance…

  • What are scalability solutions on Cardano?

    Cardano has developed several scalability solutions to increase its transaction throughput, reduce latency, and ensure that the network can grow to accommodate a large number of users and decentralized applications (dApps). Here are the key scalability solutions in the Cardano ecosystem: 1. Hydra (Layer-2 Scaling Solution) 2. Block Size Increases 3. Ouroboros Consensus Algorithm 4.…

  • What is Cardano’s Current Channel Capacity?

    Cardano’s channel capacity—or more specifically, its transaction processing capacity—varies depending on factors like block size, network performance, and ongoing optimizations. Currently, Cardano is designed to handle around 250 transactions per second (TPS) on its base layer. This TPS is not fixed, however, as the network is continuously evolving to improve scalability and capacity. Cardano’s scaling…

  • Channel Capacity (Blockchain)

    In the context of the Cardano blockchain, channel capacity typically refers to the maximum amount of information or transactions that can be transmitted across the network within a given time frame. This concept is crucial for understanding how much data the network can handle, particularly when it comes to processing transactions or smart contract executions…