ANN | 50 Phala Privacy Pill Will be Distributed to 43 Holders Shortly

Phala Network
Phala Network

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The NFT sale: Phala Privacy Pill ended on Mar. 18. Each of the two rounds of 30 Pills sold out in 2 mins, for 60 Pills sold!

Per the previously announced rules, a random snapshot taken between 18:00–22:00 on March 19th (Singapore, GMT+8) is used to distributed additional Pills. Holders of the Phala Polka Pet who also hold a Phala Privacy Pill will get a free “Pill For Your Pet” benefit, making this sale like a “buy one, get one free!”

The random snapshot was taken at UTC 12:26, March 19. Congratulations to the 43 users who match with the “Special Benefit” rules, getting one or more free Phala Privacy Pills! Per the stats, 50 additional NFTs will be given away. The top 10 holders were:

Full list:https://docs.google.com/spreadsheets/d/1t7Z2Nuoi4bYve-XTyA9DWIvHBm6RIeoRxNmPL7LLBbQ/edit?usp=sharing

Thanks to all the NFT lovers’ and Phamily’s support!

About Phala

Phala Network tackles the issue of trust in the computation cloud.

This blockchain is a trustless computation platform that enables massive cloud processing without sacrificing data confidentiality. Built around TEE-based privacy technology already embedded into modern processors, Phala Network’s distributed computing cloud is versatile and confidential. By separating the consensus mechanism from computation, Phala ensures processing power is highly scalable. Together, this creates the infrastructure for a powerful, secure, and scalable trustless computing cloud.

As a member parachain of the Polkadot cross-chain ecosystem, Phala will be able to provide computing power to other blockchain applications while protecting the data layer, enabling possibilities like privacy-protected DeFi trading positions and transaction history, co-computing DID confidential data, developing light-node cross-chain bridges, and more.

On-chain services currently being developed on Phala Network include Web3 Analytics: high-performance smart contracts from Phala enable highly concurrent mass data analytics with privacy, paving the way for an alternative to Google Analytics that inherently respects individual confidentiality.

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