# $RIVER Social Sentiment & Intelligence — 2026-08-07 00:40 UTC

> **Asset:** $RIVER  
> **Momentum Status:** Stable  
> **Timestamp:** 2026-08-07 00:40 UTC (2026-08-07T00:40:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-08-07-00-40/crypto/RIVER  
> **Overview Brief:** https://cryptitalk.com/2026-08-07-00-40/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 66
- **Likes:** 1
- **Retweets:** 0
- **Comments:** 3

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 3, Retweets: 0, Likes: 1, Impressions: 66


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## Cited Community Posts & Evidence


### Post #1 by @mckbrando
> **Author:** [@mckbrando](https://x.com/mckbrando)  
> **Metrics:** 88 likes · 2 retweets · 22 comments · 20.2K views  


> **Source Link:** [https://x.com/mckbrando/status/2085218154691862882](https://x.com/mckbrando/status/2085218154691862882)  


> **Visual Context:** The image displays three bar charts comparing coding benchmark scores: Terminal-Bench 2.1 (with scores ranging from 76.2% to 88.7%, including Opus 4.1, GPT-5.1, and Sonnet 4.5), DeepSWE 1.1 (40.0% to 65.0%, featuring Opus 4.1, GPT-5.1, Sonnet 4.5, and Gemini 3.0 Flash), and Meta Internal Coding Bench (63.9% to 79.4%, with Opus 4.1, Sonnet 4.5, and Gemini 3.0 Flash). The post's question about why Sol isn't included highlights that "Sonnet 4.5 (Terra)" appears prominently in all three benchmarks, suggesting the comparison is designed to showcase a specific company's models against competitors like Opus and GPT rather than including all available models.  

> 
> "Why is this comparing with Terra and Opus, but not Sol"




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## Contributing Accounts

- `@blockphd7` (https://x.com/blockphd7)