# $VEEFRIENDS Social Sentiment & Intelligence — 2026-09-04 14:20 UTC

> **Asset:** $VEEFRIENDS  
> **Momentum Status:** Cooling Down  
> **Timestamp:** 2026-09-04 14:20 UTC (2026-09-04T14:20:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-09-04-14-20/crypto/VEEFRIENDS  
> **Overview Brief:** https://cryptitalk.com/2026-09-04-14-20/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 110
- **Likes:** 4
- **Retweets:** 0
- **Comments:** 4

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 4, Retweets: 0, Likes: 4, Impressions: 110


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## Cited Community Posts & Evidence


### Post #1 by @Shaughnessy119
> **Author:** [@Shaughnessy119](https://x.com/Shaughnessy119)  
> **Metrics:** 3 likes · 0 retweets · 2 comments · 83 views  


> **Source Link:** [https://x.com/Shaughnessy119/status/2095880038164123856](https://x.com/Shaughnessy119/status/2095880038164123856)  


> **Visual Context:** A dark-themed analytical document titled with sections about 'What an agent pays to read the code' and 'What a skilled agent pays per lookup,' featuring tables with metrics comparing 'main' and 'PR' performance with percentage changes.  

> 
> "Yea this is absolutely insane
@Teknium
 Did a Massive 
@NousResearch
 Hermes Repo Optimization Using Agents

The Process

- 15 hours
- 120 subagents on a single desktop machine
- 375,000 lines of code removed

The End Result

- 1,589 questions used to hit a file too big for a model"




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## Contributing Accounts

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