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    Subnet Mining Hub

    Crunch unlocks decentralized AI mining rewards for AI/ML talent.

    Millions in annual Bittensor rewards on one platform. Crunch handles mining infrastructure complexity, while the proprietary CFI (Crunch Fit Index) identifies the highest-value opportunities.

    Subnet Rankings

    Ranked by Crunch Fit Index (CFI)

    #Subnet
    CFI
    Daily $
    Task
    ML Fit
    Liquidity
    Rec.
    Mine
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    CFI Methodology

    How we calculate the Crunch Fit Index (CFI) score

    Score Components

    The CFI score (0-100) is a weighted combination of six factors, designed to prioritize subnets that match Crunch's ML engineer workforce:

    Task Fit30%
    Emission Health20%
    Profitability20%
    Competition15%
    Legitimacy10%
    Network Health5%

    Task Fit Scoring

    Task Fit is the primary differentiator, giving ML model building tasks the highest priority:

    ML_MODEL+ EXCELLENT fit100
    ML_MODEL+ GOOD fit90
    DATA+ GOOD fit60
    INFERENCE+ MODERATE fit40
    COMPUTE/OTHER+ NOT_SUITABLE0

    Additional Factors

    Accessibility Rating

    Subnets are penalized based on entry barriers: HIGH (1.0x), MEDIUM (0.85x), LOW (0.6x), VERY_LOW (0.4x)

    Recommendation Caps

    Scores are capped by recommendation: STRONG (100), MODERATE (70), WEAK (50), AVOID (30)

    Liquidity Levels

    🟢 Excellent (≥100k τ), 🟢 Good (≥30k τ), 🟡 Moderate (≥10k τ), 🟠 Low (≥2k τ), 🔴 Very Low (<2k τ)

    Off-Protocol Rewards

    Some subnets (e.g., Vanta) pay miners based on performance metrics outside standard emissions. These are flagged and scored accordingly.

    Data Sources

    Subnet metrics are sourced from TaoStats API. Task classifications and Crunch fit assessments are manually researched from each subnet's GitHub repository and documentation. Scores are recalculated daily.

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