# $SAND Social Sentiment & Intelligence — 2026-09-21 18:20 UTC

> **Asset:** $SAND  
> **Momentum Status:** Stable  
> **Timestamp:** 2026-09-21 18:20 UTC (2026-09-21T18:20:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-09-21-18-20/crypto/SAND  
> **Overview Brief:** https://cryptitalk.com/2026-09-21-18-20/crypto.md  

---

## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 1.0K
- **Likes:** 14
- **Retweets:** 3
- **Comments:** 7

---


## Momentum & Sentiment Analysis
Total Engagement - Comments: 7, Retweets: 3, Likes: 14, Impressions: 1033


---

## Cited Community Posts & Evidence


### Post #1 by @ai_explorer25
> **Author:** [@ai_explorer25](https://x.com/ai_explorer25)  
> **Metrics:** 4 likes · 0 retweets · 1 comments · 286 views  


> **Source Link:** [https://x.com/ai_explorer25/status/2102096845761847357](https://x.com/ai_explorer25/status/2102096845761847357)  


> **Visual Context:** A MoAI Efficiency comparison chart titled 'K2-Horizon-MoMA-36B-A4B' showing Artificial Analysis Intelligence Index benchmarks including HLE, Terminal-Bench-Z1, GDPval-AI-v2, τ²-Banking, SciCode, and Intelligent Index, with K2-Horizon-MoMA-36B-A4B scoring competitively against K2, Qwen3-235B, and other models.  

> 
> "What caught my eye: just 4B active parameters delivering performance you’d typically expect from models with 20x as many total parameters."




---


## Contributing Accounts

- `@Israfilv2` (https://x.com/Israfilv2)