# $NFT Social Sentiment & Intelligence — 2026-10-09 14:00 UTC

> **Asset:** $NFT  
> **Momentum Status:** Stable  
> **Timestamp:** 2026-10-09 14:00 UTC (2026-10-09T14:00:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-10-09-14-00/crypto/NFT  
> **Overview Brief:** https://cryptitalk.com/2026-10-09-14-00/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 2
- **Total Impressions:** 726
- **Likes:** 24
- **Retweets:** 2
- **Comments:** 5

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 5, Retweets: 2, Likes: 24, Impressions: 726


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## Cited Community Posts & Evidence


### Post #1 by @Bitwise
> **Author:** [@Bitwise](https://x.com/Bitwise)  
> **Metrics:** 2 likes · 1 retweets · 1 comments · 723 views  


> **Source Link:** [https://x.com/Bitwise/status/2108558359116866021](https://x.com/Bitwise/status/2108558359116866021)  


> 
> "Three months ago, prices, onchain activity, and ETF flows were all falling.

Then crypto had one of the best quarters in its history.

The Bitwise Crypto Market Review (Q4 2026) tells the story in 67 charts and tables."


### Post #2 by @MiftahulEth1
> **Author:** [@MiftahulEth1](https://x.com/MiftahulEth1)  
> **Metrics:** 2 likes · 1 retweets · 2 comments · 37 views  


> **Source Link:** [https://x.com/MiftahulEth1/status/2108553304301273151](https://x.com/MiftahulEth1/status/2108553304301273151)  


> 
> "A strong Physical AI model is only part of the equation. The system also needs a way to learn from what happens after deployment.

That’s the idea behind 
@axisrobotics
’ approach, bringing data generation, model training, and real-world deployment together in a continuous"




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## Contributing Accounts

- `@0xLTR` (https://x.com/0xLTR)

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