To all my #NEAR Family, this thread explains why Near Protocol is one the most advanced blockchain networks. And how it can become the future of decentralized economy.

@NEARedu @NEARmaverick @nearbigbrain @mattdlockyer @ilblackdragon @NEARProtocol
It all started with a debate upon scalability of Blockchain Networks.

#ETH 2.0 wya buddy?

As you know, the burning sensation in Ethereum’s stomach created need for an advanced mechanism. This technology is called Sharding.
Traditional sharding basically treats each shard like another blockchain. These shards work side-by-side to produce chunks and nodes producing them are called Producer Nodes.

Nodes that verify transactions on a shard are called Validator Nodes.
Sharding reduces validators available for verifying each transaction. Earlier, 1 tx was validated by 100 VNs. If 10 shards are created on main chain, each shard can process 1 tx that gets verified by 10 validators.

This increases chance of 51% attack on chain. How?
Earlier, if 51% validators of a chain agreed upon a faulty tx, it will be processed. Now only 5.1% can agree to corrupt that shard which will corrupt whole network.

Some argue that Validators get financial rewards, so they won’t cheat. What if the network has $multi-billion txs?
This problem is known as Adaptive Corruption.

To solve this issue, what NEAR does is that it conceals “Which Validator verifies Which Chunk on Which Shard”.

This creates a robust ecosystem for future applications to be securely powered on Near Protocol.
Now, coming back to Shards.

Each shard resembles a chain, where local parts of global state are stored in that particular shard and transactions are processed.

This ensures both process sharding and state sharding can co-exist on the network. Absolutefuckingly genius 🧠
Process-sharding means when processing of transactions is divided into separate shards having their own validator nodes 😉

Most L1s that implement sharding have this. What’s unique in NEAR? Now let me tell you now why Near is The Future 🧞‍♂️
So, State basically refers to the storage used by blockchain networks.

With growing block sizes each day, state sharding is the necessity of future applications.

Most L1s don’t have state sharding. This makes NEAR unique and far-focused.
With state sharding, shard chains can cross-communicate with each other and share useful data, call other contracts existing on different shards and change state asynchronously.

How this happens is out of scope of this thread. DM to know more 😁
Now comes the settlement aka concensus mechanism. Blockchains settle blocks through 2 primary techniques:

1.Longest chain method
2.Byzantine Fault Tolerance method

What NEAR does? It combines both of them 😨 Hybrid architecture ftw 🙌🏽
The two revolutionary techniques that Nightshade brings on table are:

1.State Sharding enabling cross-shard communications (future of cross-chain compatibility 👀)
2.Hybrid Consensus mechanism
There is a lot more to explain and even much more to learn which won’t fit into the context of this tweet.

I’ll suggest anyone who is interested to look at the NEAR Nightshade Whitepaper below👇🏽

near.org/papers/nightsh…
I am glad @NEARmaverick suggested this topic. This exposes so many good details of @NEARProtocol and how it’s the complete blockchain network in existence.

Decentralized. Secure. Scalable.

No doubt when we NEARians say #TheFutureisNear
If you liked this thread, please consider liking and retweeting this tweet below. I’ll meet you in the next very very interesting thread on Solana vs Near Protocol.

Till then, Sayonara 👋🏼

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More from @pythontony

Mar 26
In my last thread, I explained basics of zK Proofs. The love and support you guys showed has been amazing ❤️

After this thread, I am sure you will build a good understanding of what zK-SNARKs are & why they trending nowadays?

LFG 🚀🚀🚀

#web3 #Blockchain #learning
We are very well aware about how the zK Proofs work. In case you haven’t already, please check out my Patrick-Virginia example from the below tweet.

I promise you it’s the most lucid explanation on Crypto Twitter 🤤
So, what happens in traditional zero Knowledge Proofs?

Everytime Patrick has to Prove that he knows the spell, he has to interact with Virginia. She asks him to come from either of paths (A or B) and then only verification happens.
Read 15 tweets
Mar 13
Internet has been whizzing with zK Proofs and Rollups but the concept behind this technology is quite easy to understand.

A thread to build your mental model for zero-Knowledge Proofs 🧵

#Web3 #learning #ZKP
Let’s start with an analogy. Suppose you have two persons: Patrick and Virginia

Take a look at the picture now. There is a tunnel which divides into two paths marked as A and B.

A and B are separated by a magic door which opens only when magic spell is whispered near the door. Image
Patrick ⚔️ Virginia

Patrick wants to prove to Virginia that he has the magical spell. But Virginia won’t trust him until he proves his powers.

Patrick ain’t willing to tell this magical spell to Virginia so they decide to work upon a challenge.
Read 16 tweets
Feb 24
#Web3Learning

Scrolling down the twitter #blockchain community, and suddenly feeling clueless about some technical term?

Well, it happens a lot with me since I am quite noob to Web3 and Crypto Universe.

Here is my effort to explain one such jargon 👉🏽 #Sharding
1/n From the time since its inception, scalability has been a big concern for Blockchains.

As blockchains become more mainstream, its essential for networks to be scalable with high throughput for explosive growth.

Low gas fees + Ultra high TPS = Growth 🚀
2/n Initially, vertical scaling was the dominant solution.

Simply explained, add more power to all the nodes so they can compute hash and validate transactions faster.

But there is a maxima to the technological advancement of nodes. This limits the total network throughput 🤒
Read 12 tweets
Apr 9, 2021
Three Reasons Why #Nifty Is Due for a Correction:

1. 20 EMA and Nifty Connection
2. Fibonacci Pullbacks and correction modes
3. Metals rally in the past few months

Please retweet if you find the analysis useful and accurate ❤️
@rohit_katwal @kapildhama @gurdeeparora971

#Stocks
1. 20 EMA and Nifty:

As a thumb rule, for the past 18 years data, "Everytime Nifty starts a rally, it takes a pause at 20 EMA-Monthly support".

👉🏽 Important: I am not claiming that Nifty will fall instantly to 13000 zone tomorrow. But, 20MEMA will catch up with Nifty. Agree?
2. #Fibonacci ❤️

If you connect 2020 High and Low for the year, you would observe that markets followed the uptrend in a huge upward rally.

👉🏽 By Fib Extension rules, rallies usually take a stop/correct at 1.272 or 1.618 levels.

See chart. Best support around 13755-13664 🌟
Read 6 tweets

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