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$TRX

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Snapshot Window: 2026-10-07 23:50 UTC · ← Back to Crypto Overview

Tracked Posts
5
Total Impressions
225
Total Likes
5
Retweets & Quotes
5
Comments
2

Social Momentum Summary

Total Engagement - Comments: 2, Retweets: 5, Likes: 5, Impressions: 225

Verbatim Community Citations & Social Evidence 5 source posts analyzed

@CryptoParadyme

legend

@jiabtc

Dear X frens, I’ve just completed one of the most important missions of the day: Not saving the world. Not solving a crisis. Not finding alpha. Just feeding a handsome cat Because apparently, everything else can wait… but dinner can’t. The boss is happy, so I’m back. Any

A sachet of "Me-O Creamy Treats Salmon Flavour" cat treats lies on a textured white surface, fitting the post's humorous update about prioritizing feeding "the boss" (a handsome cat) before returning to work.

AI visual note: A sachet of "Me-O Creamy Treats Salmon Flavour" cat treats lies on a textured white surface, fitting the post's humorous update about prioritizing feeding "the boss" (a handsome cat) before returning to work.

@serc1n

In November, we continue what we started in March. Agent NFTs. The foundation is taking shape, and now we’re moving into execution. It’s been a meaningful few months of building quietly behind the scenes. We worked with @nxt3d to explore and create first Agent NFTs. In

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@quynncrypto

onchain activity is easy to count but much harder to understand. that’s the part i find interesting about @zerufinance . ZSCORE looks beyond simple transaction volume by reading activity across trading, lending, liquidity and staking. instead of judging a wallet by how busy it

The image illustrates Zeru Finance's neural network approach to analyzing on-chain activity, showing distinct clusters (Cluster-1, Cluster-8, Cluster-2) mapped across "Compressed dimension 1" and "Compressed dimension 2," feeding into a neural network that outputs a zScore index ranging from 1 to 900. This visualizes how ZSCORE goes beyond simple transaction counting by using machine learning to evaluate wallet behavior across multiple activities rather than just measuring volume.

AI visual note: The image illustrates Zeru Finance's neural network approach to analyzing on-chain activity, showing distinct clusters (Cluster-1, Cluster-8, Cluster-2) mapped across "Compressed dimension 1" and "Compressed dimension 2," feeding into a neural network that outputs a zScore index ranging from 1 to 900. This visualizes how ZSCORE goes beyond simple transaction counting by using machine learning to evaluate wallet behavior across multiple activities rather than just measuring volume.

@LordEmo

monad back at ICO price emonad ranging higher $emo is leveraged mon sad emonad

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Contributing Voices for $TRX

@Mm3yap @Teddo_ICO