# $OM Social Sentiment & Intelligence — 2026-08-19 10:40 UTC

> **Asset:** $OM  
> **Momentum Status:** Trending Up  
> **Timestamp:** 2026-08-19 10:40 UTC (2026-08-19T10:40:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-08-19-10-40/crypto/OM  
> **Overview Brief:** https://cryptitalk.com/2026-08-19-10-40/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 75
- **Likes:** 3
- **Retweets:** 0
- **Comments:** 1

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 1, Retweets: 0, Likes: 3, Impressions: 75


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## Cited Community Posts & Evidence


### Post #1 by @nftchains
> **Author:** [@nftchains](https://x.com/nftchains)  
> **Metrics:** 23 likes · 0 retweets · 20 comments · 238 views  


> **Source Link:** [https://x.com/nftchains/status/2090007909572710522](https://x.com/nftchains/status/2090007909572710522)  


> **Visual Context:** The image shows a GitHub README for "quip-miner-cpu," an AGPL-3.0 licensed repository providing CPU Ising miners for the quip.network v0.3 mining protocol, featuring binaries like quip-cpu-sa, quip-cpu-gibbs, and quip-cpu-sb for various simulated annealing, Gibbs sampling, and Simulated Bifurcation algorithms. It relates to the post by showcasing the CPU-side tooling behind the v0.3 update that drove read throughput gains, illustrating the production-grade binaries that benefit from the batch-preloading performance improvements.  

> 
> "Quip v0.3 is the kind of update that doesn’t need a marketing essay to prove it matters.

The numbers do the talking.

CUDA utilization jumps from 55% → 94% by preloading the next batch instead of letting the GPU sit idle.

CPU throughput goes from 2.9 → 14.9 reads/s with bit"




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## Contributing Accounts

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