# $RWI Social Sentiment & Intelligence — 2026-09-02 22:20 UTC

> **Asset:** $RWI  
> **Momentum Status:** Stable  
> **Timestamp:** 2026-09-02 22:20 UTC (2026-09-02T22:20:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-09-02-22-20/crypto/RWI  
> **Overview Brief:** https://cryptitalk.com/2026-09-02-22-20/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 3
- **Total Impressions:** 266
- **Likes:** 11
- **Retweets:** 1
- **Comments:** 1

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 1, Retweets: 1, Likes: 11, Impressions: 266


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## Cited Community Posts & Evidence


### Post #1 by @hailey_cryptoo
> **Author:** [@hailey_cryptoo](https://x.com/hailey_cryptoo)  
> **Metrics:** 10 likes · 2 retweets · 4 comments · 1.6K views  


> **Source Link:** [https://x.com/hailey_cryptoo/status/2095267474165866601](https://x.com/hailey_cryptoo/status/2095267474165866601)  


> 
> "robinhood chain making $2m a day and paying like $15k for da fees and then 10% to arbitrum is insane margins for their company

that’s like $700m a year at current volumes

I think Vlad likes this and will want to try to 100x this

game on"


### Post #2 by @dcc_crypto
> **Author:** [@dcc_crypto](https://x.com/dcc_crypto)  
> **Metrics:** 32 likes · 13 retweets · 8 comments · 508 views  


> **Source Link:** [https://x.com/dcc_crypto/status/2095182514482459067](https://x.com/dcc_crypto/status/2095182514482459067)  


> 
> "Decentralize everything. Occupy the castle.

Thanks 
@superteamIE
 for putting this together"


### Post #3 by @IOHK_Charles
> **Author:** [@IOHK_Charles](https://x.com/IOHK_Charles)  
> **Metrics:** 7 likes · 0 retweets · 0 comments · 4.3K views  


> **Source Link:** [https://x.com/IOHK_Charles/status/2095276519040135250](https://x.com/IOHK_Charles/status/2095276519040135250)  


> **Visual Context:** A benchmark comparison table showing performance scores across four AI models—Muse Spark 1.3 (max), Muse Spark 1.2 (high), GPT 5.6 Sol (max), and Opus 5 (max)—across categories including Agent (GDPVal-AA v2, JobBench, OSWorld 2.0, DeepResearchQA, Agentic IF Index, AutomationBench), Long context (MRCR), and Coding (SWEAtlas CodeBase QnA, Terminal-Bench 2.1). Notably, Opus 5 leads in most agentic benchmarks with scores like 1824 on GDPVal-AA v2 and 68.3 on OSWorld 2.0, while Muse Spark 1.3 outperforms in long context retrieval (98.5/98.1 on MRCR) and terminal coding (88.8 on Terminal-Bench). The image relates to the post by showcasing Meta's "Muse Spark" models—likely referencing Mark Zuckerberg's massive  

> 
> "That 28 billion dollar Wang is starting to pay off"




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## Contributing Accounts

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