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    Monad Testnet (30 Days After Launch)

    hexagon

    Flipside AI

    Monad Testnet Performance Analysis

    Key Network Metrics

    User Growth and Engagement Monad's testnet demonstrated remarkable performance in its first 30 days, with 35,593,584 unique wallets and 8,303,703 total receiving wallets. The network shows high user engagement, with an average of 4.6-12 transactions per wallet.

    Transaction Performance

    • Total Transactions: 415,198,053 in 30 days
    • Successful Transactions: 402,398,047 (99.5% success rate)
    • Peak Daily Transactions: 31,961,953
    • Transactions Per Second (TPS): Approaching 10,000 TPS goal, currently at ~8,303 TPS

    Network Efficiency

    Block and Performance Metrics

    • Average Block Time: 0.546 seconds (near 1-second goal)
    • Total Blocks Created: 4,803,166
    • Transaction Fees: Extremely low at $0.009 per transaction

    Transaction Fee Dynamics

    The network demonstrated interesting fee behavior:

    • Initial high volatility with a peak of 264,288 MON on a single day
    • Gradual stabilization around 0.01 MON
    • Consistent decline in transaction costs over the testnet period

    Network Stability

    Monad's testnet showed robust performance with:

    • Transaction Success Rate: Consistently between 96-98%
    • High network reliability
    • Scalable infrastructure approaching design goals

    Conclusion: Monad's testnet reveals a promising blockchain platform with strong user growth, high transaction efficiency, and near-target performance across key metrics.

    OVERVIEW

    It is now 30 days since the launch of Monad Testnet.

    This dashboard gives an analysis of the Monads blockchain, which a high-performance Layer 1 EVM-compatible solution designed to improve blockchain scalability and efficiency.

    Monad aims to achieve a transaction rate of 10,000 TPS, with 1-second block times and near-zero fees, effectively addressing Ethereum's scalability challenges. for 5 seconds

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    Disclaimer: Flipside AI is here to help but it can make mistakes. Always review outputs and use the upvote/downvote buttons to help us improve. This content is not financial advice.