The official NFT branch of Mapema Alpha community founder: @mapemaofweb3

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Replying to @Mapemaofweb3
Class is in session guys
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Thank you mama
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M.N CIRCLE retweeted
5 spots of @PlayEverFarm up for grabs! A new collection of 555 NFTs with a completely FREE MINT. Mint Date: Nov 3rd, 17:00 UTC To enter: • 4low me, @PlayEverFarm & @mapemanftcircle • Like & comment on their pinned post • RT this post • Drop your wallet address Winners will be announced within 24 hours.
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Replying to @Mapemaofweb3
That’s massive mama
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M.N CIRCLE retweeted
not much but honest work 🤭🥰 a good day to be in @mapemanftcircle Wsssss🔥🔥 15 spots - 2 per wallet 10$ x 15= $150 hope you didn’t miss out on this? 4low with post notifications on
We shared 15 spots of TGRC Community members eating good here Have you minted yours?!
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Replying to @Mapemaofweb3
Keeping data encrypted even during computation could unlock more practical privacy for onchain finance.
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Replying to @Timileee
It’s free
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Replying to @the_tigresss
Yes oo
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Replying to @dylan__hobbs
You’re welcome
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Replying to @Blackbot31
You’re welcome dear
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Replying to @cr3myy
You’re welcome
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M.N CIRCLE retweeted
𝐏𝐑𝐈𝐌𝐔𝐒 𝐄𝐗𝐏𝐋𝐀𝐈𝐍𝐄𝐃: 𝐖𝐇𝐀𝐓 𝐈𝐒 𝐅𝐇𝐄? 🔐 Imagine sending your financial information to a platform for analysis. Normally, for that platform to process your data, it needs access to the information in a readable form. And that’s where privacy becomes a concern. Your information may be protected while being stored or transferred, but what happens when it needs to be processed? This is the problem Fully Homomorphic Encryption (FHE) is designed to address. FHE is a form of encryption that allows computations to be performed directly on encrypted data without first decrypting it. Here’s a simple way to understand it: Imagine you have encrypted financial figures that need to be added together. With conventional encryption, the data would generally need to be decrypted before the calculation could happen. With FHE, the calculation can happen while the figures remain encrypted. The result is also encrypted and can only be read by someone with the appropriate decryption key. This means sensitive information doesn’t have to be exposed just because it needs to be processed. Why does this matter? Think about financial institutions working with sensitive customer records, transaction information or other confidential data. They need to analyse information and make decisions, but exposing the underlying data can create privacy risks. FHE offers a way to perform those computations while keeping the data encrypted. This is one of the technologies @primus_labs identifies as part of its approach to more private onchain finance. Of course, FHE doesn’t remove every security challenge. Practical implementations still have performance and key-management considerations. But the possibility it introduces is important: Data can remain encrypted and still be useful. That’s a capability worth paying attention to as Web3 and institutional finance continue to evolve. Explore Primus and complete XP tasks 👇 s.kaito.ai/I0hzkjb points.primuslabs.xyz?ref=FY…
Primus’s latest collaboration with @CournotProtocol gives us another interesting perspective on why privacy and verification matter in onchain finance. One challenge with bringing more financial activity onchain is that institutions need to prove certain information is authentic without making every sensitive detail public. Think about financial records, external data and information used to support important decisions. Simply making information public isn’t always the answer. But asking people to trust information without a way to verify it isn’t ideal either. This is where @primus_labs is building. Through zkTLS, applications can verify the authenticity of off-chain web data while preserving user privacy. Its latest collaboration with Cournot explores bringing verifiable web evidence to prediction markets. The announcement also mentions exploring possibilities around private credit and onchain finance. I find these directions interesting because they highlight a bigger need in institutional finance: information that can be trusted and verified, without unnecessary exposure of sensitive data. Privacy and verification shouldn’t have to work against each other. That’s one of the things I’m watching Primus for. Explore Primus 👇 s.kaito.ai/I0hzkjb
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Replying to @ChefNnena
You’re welcome bby
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We shared 15 spots of TGRC Community members eating good here Have you minted yours?!
MN CIRCLE x TGRC we’re excited to announce our collaboration with The GOAT Ranch Club giving away 15 GTD spots of @goatranchclub mint: free mint date: 2nd nov to enter: • folow me, @goatranchclub & @mapemanftcircle • rt • tag 2 frens ⌛️ ends in 24 hours. Good luck!
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M.N CIRCLE retweeted
minted goatranchclub thanks to @mapemanftcircle for the spot thank you queen pema🤍
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Replying to @Mapemaofweb3
That’s awesome
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Replying to @elizamarrk
Thank you dear
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Replying to @Mapemaofweb3
Thanks mama
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