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$GST

Stable

Snapshot Window: 2026-07-31 22:50 UTC Β· ← Back to Crypto Overview

Tracked Posts
3
Total Impressions
519
Total Likes
17
Retweets & Quotes
1
Comments
1

Social Momentum Summary

Total Engagement - Comments: 1, Retweets: 1, Likes: 17, Impressions: 519

Verbatim Community Citations & Social Evidence 3 source posts analyzed

No way one of you just turned $5 into $20k with @MetaWin ’s new offer If you deposit on metawin.com and use code β€˜X100’ They double your deposit up to $1k It was supposed to only last 1 day but they just extended the offer I would go take advantage while it

None
@Web3VibesB

Are you ready to make the unbelievable believable? Only Pi Network can do this #PiNetwork transactions are gradually scaling up " #PiNetwork

This image shows a luxury car branded with the Pi Network logo and "PI COIN" on the license plates, emphasizing the idea of paying with Pi. The text "PAY WITH PI" is prominently displayed across the image, directly relating to the Pi Network's promotion of its cryptocurrency for transactions.

AI visual note: This image shows a luxury car branded with the Pi Network logo and "PI COIN" on the license plates, emphasizing the idea of paying with Pi. The text "PAY WITH PI" is prominently displayed across the image, directly relating to the Pi Network's promotion of its cryptocurrency for transactions.

Open Source is winning bigly Tokens will be 100x cheaper in 24 months You’re going to run 50% of tokens on your local hardware unmetered @Dell , @nvidia and @Apple are the big winners in this trend

The image is a benchmark comparison table showing DeepSeek-V4-Flash-0731, DeepSeek-V4-Flash-Preview, DeepSeek-V4-Pro-Preview, GLM-5.2, and Opus-4.8 scores across coding/agentic tasks like Terminal Bench 2.1 (82.7 for V4-Flash), NL2Repo, Cybergym, DeepSWE, and DSBench. It supports the post's claim about open-source AI models gaining ground on proprietary leaders like Opus-4.8, reinforcing the argument that falling token costs and local deployment will favor hardware makers Dell, NVIDIA, and Apple.

AI visual note: The image is a benchmark comparison table showing DeepSeek-V4-Flash-0731, DeepSeek-V4-Flash-Preview, DeepSeek-V4-Pro-Preview, GLM-5.2, and Opus-4.8 scores across coding/agentic tasks like Terminal Bench 2.1 (82.7 for V4-Flash), NL2Repo, Cybergym, DeepSWE, and DSBench. It supports the post's claim about open-source AI models gaining ground on proprietary leaders like Opus-4.8, reinforcing the argument that falling token costs and local deployment will favor hardware makers Dell, NVIDIA, and Apple.