# $ETC Catalyst Posts & Social Intelligence Recap — November 26, 2025 > **Asset:** $ETC > **Date:** 2025-11-26 (November 26, 2025) > **Canonical URL:** https://cryptitalk.com/tokens/etc/2025-11-26 > **Token Profile:** https://cryptitalk.com/tokens/etc.md > **Market Rankings:** https://cryptitalk.com/rankings.md --- ## Curated Viral Posts & Community Evidence ### Post #1 by @etcparadox > **Author:** PARADOX ([@etcparadox](https://x.com/etcparadox)) > **Metrics:** 65 likes · 0 retweets · 86 comments · 5.5K views > **Posted:** 2025-11-26T05:39:36+00:00 > **Source Link:** [https://x.com/etcparadox/status/1993555215505862814](https://x.com/etcparadox/status/1993555215505862814) > **Video Content:** Sample video description 21 > > "Encrypted Data Pipelines With Verifiable Public Outputs Modern data systems increasingly require a balance between privacy, auditability, and operational transparency. Encrypted data pipelines offer an elegant solution by ensuring that all participant inputs remain confidential" ### Post #2 by @etcparadox > **Author:** PARADOX ([@etcparadox](https://x.com/etcparadox)) > **Metrics:** 43 likes · 0 retweets · 52 comments · 3.3K views > **Posted:** 2025-11-26T13:44:58+00:00 > **Source Link:** [https://x.com/etcparadox/status/1993677360005357681](https://x.com/etcparadox/status/1993677360005357681) > **Video Content:** Sample video description 47 > > "Encrypted Insurance Modeling With Publicly Verifiable Results Insurance operations rely on extensive data about policyholders, risk factors, claim histories, and financial obligations. Sharing such information openly is impossible, yet regulators and customers expect" ### Post #3 by @etcparadox > **Author:** PARADOX ([@etcparadox](https://x.com/etcparadox)) > **Metrics:** 33 likes · 0 retweets · 43 comments · 365 views > **Posted:** 2025-11-26T19:12:32+00:00 > **Source Link:** [https://x.com/etcparadox/status/1993759796710003046](https://x.com/etcparadox/status/1993759796710003046) > **Video Content:** Sample video description 46 > > "Encrypted Logistics Coordination With Trustworthy Shared Insights Large scale logistics systems rely on coordination across manufacturers, carriers, warehouses, and retailers. Yet each party holds sensitive information such as internal schedules, freight volumes, fulfillment" --- *Generated by Context Pilot Social Intelligence Engine.*