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    Coldint

    SN29

    Evaluation Score

    Overall rating on a scale of 0-10

    RiskReturn
    04.410
    Risk Level:
    High
    Recommendation:Speculative position only
    Evaluated:August 28, 2026 (v14)

    Dimension Breakdown

    Development Activity6.0
    Community HealthN/A
    Tokenomics3.0
    Market & Use CaseN/A
    Team & Governance4.5
    Security & Audits4.0

    AI Analysis

    Comprehensive evaluation of the token

    SN29 (Coldint) is Bittensor Subnet 29, focused on collaborative, distributed, and incentivized training with live mainnet operations and active open-source repositories across Python and Rust. However, the project faces notable risks and substantial data limitations. Two evaluation sections lacked sufficient data and were excluded from the weighted score calculation: Community Support (score -1.0, due to an absence of social metrics, DAO discussions, or community engagement data) and Market and Use Case (score -1.0, due to missing market cap, trading volume, and exchange listing metrics). Among the scorable sections, Tokenomics is weak (3.0/10) due to unverified allocation breakdowns and hidden vesting schedules behind paywalls, despite dynamic emission and burn tracking. Team and Governance (4.5/10) suffers from anonymous leadership, lack of decentralized governance, and centralized subnet control. Security and Audit History (4.0/10) notes that the codebase has no external third-party security audits, though no exploits, regulatory actions, or delistings were found. No qualifying red-flag events were established.

    Development Activity

    Code updates and developer engagement

    RiskReturn
    06.010

    Community Support

    Social media presence and community engagement

    Insufficient Data

    Tokenomics

    Supply, distribution, and utility

    RiskReturn
    03.010

    Market & Use Case

    Value proposition and competitive landscape

    Insufficient Data

    Team & Governance

    Team background and project governance

    RiskReturn
    04.510

    Security & Audits

    Security history and audit status

    RiskReturn
    04.010

    About Coldint (SN29)

    Coldint (SN29) is a project operating as Subnet 29 on the Bittensor blockchain. Standing for "COLlaborative, Distributed, INcentivized Training," Coldint is designed to facilitate distributed machine learning model training through Bittensor's subnet architecture. The subnet operates on a live mainnet and maintains open-source repositories written in Python and Rust, covering infrastructure such as validator software, substrate interfaces, and related utilities.

    The SN29 token operates within the Bittensor ecosystem with a dynamic emission model and has recorded an on-chain burn rate of approximately 10.84%. Rather than executing through standalone Ethereum Virtual Machine (EVM) smart contracts, the token's logic and network functionality are embedded within its validator and miner software on the Bittensor network.

    Coldint presents several governance, operational, and data limitations. The development team operates anonymously without publicly identified leadership, and the subnet is centrally managed without a decentralized autonomous organization (DAO) or formal on-chain governance framework. Additionally, the codebase has not undergone independent third-party security audits, and comprehensive token allocation schedules and vesting details remain unverified in public documentation. While no exploits, regulatory actions, or delistings have been recorded, public data on community engagement, market depth, and specific trading venues remains limited.

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