RamaXwhale | (❖,❖)

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RamaXwhale | (❖,❖) banner
RamaXwhale | (❖,❖)

RamaXwhale | (❖,❖)

@RXwhale

Web3 Content Creator & Community Ambassador. DeFi • AI Onchain • Crypto Education | fam : @Ritualnet

web3 Katılım Kasım 2024
2.7K Takip Edilen1.7K Takipçiler
skylaaarrrkkk ❖,❖
skylaaarrrkkk ❖,❖@ma60768953·
Gritual 🕯️ EVM with EVM++ who is faster EVM, It can only run simple opcode-based computations, and cannot directly execute AI inference and ZK proof natively. EVM++,Has native scheduling, expressive compute What's next @ritualnet @ritualfnd @Jez_Cryptoz @ritualcommunity
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skylaaarrrkkk ❖,❖@ma60768953

Gritual everyone 🕯️ Happy new week to all, siggy has killed who's any fudder on ritual @ritualfnd @ritualnet @Jez_Cryptoz @ritualcommunity

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0xviet
0xviet@0xvietnguyen·
Price manipulation continues Short orders are being liquidated more frequently
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Rune
Rune@RuneCrypto_·
$RAVE is now bigger than $ZEC $RAVE is now bigger than $LTC $RAVE is now bigger than $AVAX $RAVE is now bigger than $SUI $RAVE is now bigger than $HBAR $RAVE is now bigger than $SHIB $RAVE is now bigger than $TON $RAVE is now bigger than $CRO $RAVE is now bigger than $TAO $RAVE is now bigger than $PAXG $RAVE is now bigger than $WLFI $RAVE is now bigger than $DOT $RAVE is now bigger than $UNI $RAVE is now bigger than $NEAR $RAVE is now bigger than $SKY $RAVE is now bigger than $AAVE $RAVE is now bigger than $ASTER $RAVE is now bigger than $PEPE $RAVE is now bigger than $ICP $RAVE is now bigger than $ONDO $RAVE is now bigger than $ENA and the utility is a DAO that hosts after parties for raves.
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Domba.Eth
Domba.Eth@DombaEth27·
Ini $RAVE udah 10.000% dan hit $24 yang bener aja cok 😳
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阿伦
阿伦@alun_btc·
现在这波山寨行情,别上头,本质就是巨鲸在收割。 $RAVE 一个月从0.25拉到19,翻了快八十倍,市值冲进前五十。但数据摆在那里——三个地址控制了九成筹码。这不叫价值发现,这叫控盘。 $Neiro 、 $Bio 、 $Ordi 这些铭文老面孔跟着涨了一圈,情绪确实热,但玩法跟2021年完全不一样。 siren 到 RAVE 这套路拆开看就几步: 先现货把筹码锁死,合约底部偷偷囤多单,持仓量做到现货的百倍级别,然后暴力拉盘逼空头爆仓,高费率加清算一波带走,最后高位出货收工。 这不是牛市,这是流动性集中收割。热闹归热闹,别把自己搭进去。
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Skyzee
Skyzee@SuperSkyzee·
Here’s the big comparison: traditional GossipSub vs mump2p from @get_Optimum. GossipSub spreads blocks the way rumors spread in a crowd. One person tells a few people, they tell a few more, and so on. It works fine… until the message gets bigger and the crowd gets louder. Suddenly, delays pile up, bandwidth gets wasted, and delivery becomes unreliable. mump2p takes a completely different approach. Instead of pushing full blocks across the network, it sends coded shards that can be mixed, forwarded, and reconstructed from multiple paths at once. This means fewer bottlenecks, less duplicated data, and far more efficient bandwidth usage. Early tests from Optimum show over 50% latency reduction compared to GossipSub in globally distributed environments. Same network. Same blocks. Just a much smarter way to move data.
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Skyzee@SuperSkyzee

To put it plainly, Random Linear Network Coding (RLNC) makes what seems to be a complicated process much simpler for mump2p. Typically, when a node sends a block of data from one node to another, the sender must first send all of the contents of that file to the recipient before the recipient can then send any portion of the file to anyone else, like downloading a movie before sharing it, which takes a lot of time. With RLNC, however, this entire model is completely reversed. Since mump2p breaks all of the files into many small coded pieces, the moment a node receives even a few coded pieces, it can begin forwarding those pieces along to other nodes, even if it has yet to receive the entire un-coded version of that block. The network essentially becomes a large swarm where data flows in multiple directions at once rather than in a single line. This is the primary reason that @get_optimum has selected RLNC for use in the mump2p program, it significantly reduces the amount of time you have to wait for data to arrive, improves reliability, and keeps overall throughput high during periods of very high traffic. Less waiting time, greater parallelism, and faster propagation of data throughout the entire network.

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Yuura (❖,❖)
Yuura (❖,❖)@0xyuura·
P2P networks are inefficient. Not because they’re decentralized… but because they keep sending the same data over and over. @get_optimum changes that: encode → distribute → reconstruct No redundancy. No rigid delivery. Just efficient data movement. @blockchainjeff | @cryptooflashh | @aqccapital | @shariaronchain
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Yuura (❖,❖)@0xyuura

The bottleneck in Web3 isn’t just execution or consensus. It’s data transmission. RLNC introduces a shift: from rigid delivery → to flexible reconstruction Meaning: data doesn’t need to arrive perfectly… just sufficiently. That’s a completely different paradigm. @blockchainjeff | @cryptooflashh | @aqccapital | @shariaronchain

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Smol Frends
Smol Frends@sm0lfrends·
NFTs on @arc. experiment collection coming soon. crack the eggs.
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