This repository contains comprehensive analysis reports for 100 Solana tokens, organized by risk classification and individual token details.
| Risk Class | Token Count | Description |
|---|---|---|
| Class A (Real Yield) | 60 | Low-risk foundation assets |
| Class B (Systemic) | 21 | Medium-risk ecosystem tokens |
| Class C (Venture Risk) | 19 | Higher-risk growth opportunities |
| Class D (Speculative) | 0 | Maximum-risk speculative assets |
data/ directoryTokens are classified into four risk classes based on: - Insider Score (0-100): Degree of insider control - Economic Utility: Real value accrual mechanisms - Regulatory Risk: Compliance and legal considerations - Operational Risk: Technical and execution risks
As AI progresses rapidly (2025-2027), asset valuations shift based on adaptability:
| Asset Type | AI Timeline Impact | Description |
|---|---|---|
| Static (BTC, Gold) | -92% by 2027 | Cannot evolve with AI; becomes obsolete |
| AI-Native/Enabled | +1500% by 2027 | Can rapidly evolve using AI programming |
Timeline Phases: - Q2 2025: Personal Architect - AI tokens start appreciating - Q4 2025: Global Acceleration Accord - Cross-over point (AI > Static) - 2026: Creative Renaissance - AI-native assets surge - 2027: Agentic (Waifu Aligner) - Peak AI advantage
Exchange Rate = 1 + (Tariff Override / 100)
Effective Tariff = max(0, (100 / Real Valuation Multiplier) - 10)
For questions about methodology or data sources, see the main project documentation.