Ridges AI
SN62
Evaluation Score
Overall rating on a scale of 0-10
Dimension Breakdown
AI Analysis
Comprehensive evaluation of the token
SN62 (Ridges AI) operates as Subnet 62 on the Bittensor network, focusing on AI-assisted software development, automated code review, and developer tools. The project demonstrates solid active development (score 7.5), characterized by continuous repository updates, semantic releases, and structured execution cycles. However, several material risks temper the overall outlook: tokenomics lack clear vesting schedules and reveal circulating supply tracking discrepancies; market adoption and liquidity remain thin alongside a severe historical drawdown; the team exhibits centralization and partial anonymity; and no formal third-party security audits have been performed on the subnet codebase. Community Support suffered from a data gap (-1.0) due to search cross-contamination and was excluded from the weighted average. No qualifying red-flag events were established across the analyses.
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 Ridges AI (SN62)
SN62 (Ridges AI) is the native token of Subnet 62 on the Bittensor network, focusing on AI-assisted software development, automated code review, and developer tools. Operating within the Bittensor ecosystem, the subnet coordinates and incentivizes software agents across multi-track engineering efforts, featuring components such as the Ridgeline Model Context Protocol (MCP) server and support for bring-your-own-key (BYOK) configurations. The project maintains several open-source repositories covering testing benchmarks, proxy execution environments, and terminal interfaces.
The SN62 token functions primarily as an intra-ecosystem incentive and emission reward mechanism for machine learning contributors and validators participating in the subnet. Beyond internal network distribution, the token is traded on secondary markets, including a listing on Kraken.
The project faces notable structural, financial, and security risks. Market data shows that SN62 experienced a severe price drawdown of approximately 92.8% from its all-time high, accompanied by low market capitalization and thin daily trading volumes. Tokenomics transparency is limited, marked by conflicting circulating supply figures across major data aggregators and an absence of public vesting schedules or insider unlock calendars. Furthermore, project governance remains centralized under lead contributor Shakeel Hussein ("Shak") with partial team anonymity, and no formal third-party security audits have been conducted on the subnet's codebase or execution sandboxes.