# $TFHE Catalyst Posts & Social Intelligence Recap — October 13, 2025

> **Asset:** $TFHE  
> **Date:** 2025-10-13 (October 13, 2025)  
> **Canonical URL:** https://cryptitalk.com/tokens/tfhe/2025-10-13  
> **Token Profile:** https://cryptitalk.com/tokens/tfhe.md  
> **Market Rankings:** https://cryptitalk.com/rankings.md  

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## Curated Viral Posts & Community Evidence


### Post #1 by @huangyu31085955
> **Author:** 小蜗 ([@huangyu31085955](https://x.com/huangyu31085955))  
> **Metrics:** 70 likes · 0 retweets · 65 comments · 1.7K views  

> **Posted:** 2025-10-13T05:50:51+00:00  


> **Source Link:** [https://x.com/huangyu31085955/status/1977612982386556980](https://x.com/huangyu31085955/status/1977612982386556980)  


> **Video Content:** Sample video description 25  

> 
> "Zama的核心技术FHE基于TFHE方案，通过其开源库TFHE-rs实现布尔和整数算术的加密计算。

核心技术包括符号执行和阈值解密，在区块链应用中通过FHEVM框架实现端到端加密的智能合约，支持在加密数据上直接执行任意计算而无需解密。"


### Post #2 by @nguyenthambt
> **Author:** Nguyễn Thắm (❖,❖) ([@nguyenthambt](https://x.com/nguyenthambt))  
> **Metrics:** 19 likes · 0 retweets · 8 comments · 753 views  

> **Posted:** 2025-10-13T02:07:58+00:00  


> **Source Link:** [https://x.com/nguyenthambt/status/1977556890373755071](https://x.com/nguyenthambt/status/1977556890373755071)  


> **Visual Note:** Sample image description 2  

> 
> "Zama Expands the Future of Encrypted AI
@zama_fhe
 continues to push the frontier of fully homomorphic encryption with new updates that make privacy-preserving computation more practical than ever. 

The team has improved TFHE models for faster inference and better scalability,"


### Post #3 by @kubvil551
> **Author:** kubvil | (❖,❖) "⌘" .ink ( ([@kubvil551](https://x.com/kubvil551))  
> **Metrics:** 46 likes · 3 retweets · 6 comments · 344 views  

> **Posted:** 2025-10-13T06:36:55+00:00  


> **Source Link:** [https://x.com/kubvil551/status/1977624574238851381](https://x.com/kubvil551/status/1977624574238851381)  


> **Visual Note:** Sample image description 9  

> 
> "Zama's Homomorphic Processing Unit (HPU),. what is it and what does it do?

ZAMA's HPU is a PCIe accelerator for Fully Homomorphic Encryption (FHE) using the TFHE scheme and offloading encrypted computations from a host CPU.

This HPU represents integers in radix-based 4-bit"


### Post #4 by @tn4nh
> **Author:** 𝗞 ([@tn4nh](https://x.com/tn4nh))  
> **Metrics:** 42 likes · 0 retweets · 41 comments · 299 views  

> **Posted:** 2025-10-13T00:21:49+00:00  


> **Source Link:** [https://x.com/tn4nh/status/1977530177111679077](https://x.com/tn4nh/status/1977530177111679077)  


> 
> "— P2 | Fully Homomorphic Encryption (FHE) nói chung và TFHE-rs nói riêng của 
@zama_fhe
 sở hữu tiềm năng phát triển to lớn nhưng ở khía cạnh nào đó điều này có thể tiềm ẩn nguy cơ trở thành "nơi ẩn náu" cho tội phạm nếu không được kiểm soát chặt chẽ!

❝"


### Post #5 by @Ryvex09
> **Author:** Ryvex ([@Ryvex09](https://x.com/Ryvex09))  
> **Metrics:** 41 likes · 0 retweets · 35 comments · 297 views  

> **Posted:** 2025-10-13T15:18:33+00:00  


> **Source Link:** [https://x.com/Ryvex09/status/1977755845565055007](https://x.com/Ryvex09/status/1977755845565055007)  


> **Video Content:** Sample video description 30  

> 
> "Imagine a Web3 data marketplace for AI where your data stays private yet fully usable for training models. 
@zama_fhe
 makes this reality with Fully Homomorphic Encryption.

Their TFHErs library enables secure computations on encrypted data, letting users selectively share datasets"


### Post #6 by @ebukaarcryppted
> **Author:** heung-Min ([@ebukaarcryppted](https://x.com/ebukaarcryppted))  
> **Metrics:** 17 likes · 0 retweets · 11 comments · 205 views  

> **Posted:** 2025-10-13T01:57:20+00:00  


> **Source Link:** [https://x.com/ebukaarcryppted/status/1977554215971979377](https://x.com/ebukaarcryppted/status/1977554215971979377)  


> **Video Content:** Sample video description 25  

> 
> "Speaking of Zama's Homomorphic Processing Unit (HPU),. what is it and what does it do?

First Off;
ZAMA's HPU is a PCIe accelerator for Fully Homomorphic Encryption (FHE) using the TFHE scheme and offloading encrypted computations from a host CPU.

This HPU represents integers in"




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