# $ENTG.M Social Sentiment & Intelligence — 2026-07-06 13:20 UTC

> **Asset:** $ENTG.M  
> **Momentum Status:** Fading Quickly  
> **Timestamp:** 2026-07-06 13:20 UTC (2026-07-06T13:20:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-07-06-13-20/crypto/ENTG.M  
> **Overview Brief:** https://cryptitalk.com/2026-07-06-13-20/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 277
- **Likes:** 3
- **Retweets:** 0
- **Comments:** 3

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 3, Retweets: 0, Likes: 3, Impressions: 277


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## Cited Community Posts & Evidence


### Post #1 by @MiaAI_lab
> **Author:** [@MiaAI_lab](https://x.com/MiaAI_lab)  
> **Metrics:** 19 likes · 0 retweets · 3 comments · 1.6K views  


> **Source Link:** [https://x.com/MiaAI_lab/status/2074101417124450658](https://x.com/MiaAI_lab/status/2074101417124450658)  


> **Visual Context:** A benchmarking chart comparing the performance of Hy3 and Hy3-preview against other leading AI models (GLM5, Seed2.1 Pro, DeepSeek V4 Pro, Qwen3.7 Max, GPT 5.6, and Claude Opus 4.8) across 12 coding and reasoning benchmarks, including SWE-bench Pro (82.1), SWE-bench Multilingual (84.4), NL2repo (85.0), Terminal Bench 2.1 (85.0), BrowseComp (84.4), MCP Atlas (84.1), ClineEval pass^3 (72.1), Skillsbench (84.6), HLE (57.9), FrontierScience-Olympiad (76.4), MathArena Apex (44.5), and AA-ICR (78.4). The results, highlighted by fire and target emojis indicating top scores, support the post's excitement about Hy3's promising capabilities.  

> 
> "Cant wait to test Hy3 seems very promising."




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## Contributing Accounts

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