Distributed Training
SN38
Evaluation Score
Overall rating on a scale of 0-10
Dimension Breakdown
AI Analysis
Comprehensive evaluation of the token
SN38 (Distributed Training, Bittensor Subnet 38 / ChronoLLM) is an early-stage project focused on chronologically consistent large language model training. The project shows initial active engineering with 45 commits and test pipelines since its inception in June 2026, earning an Active Development score of 4.0. However, its tokenomics are poorly documented with uncorroborated burn metrics and no clear utility or unlock schedules, scoring 3.5. Significant data gaps exist across four evaluated areas—Community Support, Market and Use Case, Team and Governance, and Security and Audit History—all scoring -1.0 due to search collisions and an absence of token-specific data in retrieved sources. Excluding the four missing sections and redistributing weights equally between Active Development (50%) and Tokenomics (50%) yields an overall score of 3.75 (rounded to 3.8). No qualifying red-flag events or deliberate fraud were established.
Development Activity
Code updates and developer engagement
Community Support
Social media presence and community engagement
Tokenomics
Supply, distribution, and utility
Market & Use Case
Value proposition and competitive landscape
Team & Governance
Team background and project governance
Security & Audits
Security history and audit status
About Distributed Training (SN38)
SN38 (Distributed Training), also associated with ChronoLLM, is a subnet token operating on subnet 38 of the Bittensor network. The project is designed around the concept of distributed training, with a specific focus on developing and training chronologically consistent Large Language Models (LLMs) across the Bittensor ecosystem.
Technical activity for the project is centered around its ChronoLLM codebase, which includes continuous integration workflows, Docker container configurations, and structured test suites. While the token functions within the Bittensor subnet architecture, its economic framework remains sparsely documented. Available data notes an uncorroborated burn metric of approximately 32.48%, with no public documentation regarding token utility, unlock schedules, or allocation structures.
SN38 faces significant information gaps across governance, operational transparency, and security. There is an absence of verified documentation regarding the core development team, official community channels, and third-party security audits. Furthermore, independent market data and product milestone tracking remain limited, reflecting the early-stage and bootstrapping status of the subnet.