Techandtips123

This is the burning question in crypto—will there be an altseason? And the answer? Not so simple.
We’ve been spoon-fed the idea that every four years, altseason arrives like clockwork. We wait for that cash-grab moment to make life-changing gains… but this time? It didn’t come.
So now, everyone’s wondering—did we just break the pattern? Or wait, was there ever a pattern to begin with?

Chapter - 1: The Illusion of a Pattern
Our brains are wired to find patterns—it’s how we make sense of things. See a few cycles repeat, and suddenly we think we’ve cracked the code. In crypto, the pattern that everyone swore by looked something like this:

▨ Bitcoin Halving → BTC Pumps → ETH Pumps → Alts Explode 
▨ Rotation of Liquidity from BTC to Alts
▨ Retail Mania Fuels the Blow-Off Top 
▨ Bitcoin Dominance Collapses, Altseason Peaks

Sounds familiar, right? But this cycle? Something went wrong.
Bitcoin followed the script—halving happened, BTC went up, hit new ATHs ($105K as of writing). But where the hell was the rotation? Instead of alts following the lead, BTC just kept eating everything.
Retail did show up, but instead of flooding into altcoins, they threw cash at Pump.fun and memecoins. Some made it out with 100x gains, but most got wrecked. More losers than winners = no altseason fuel.
So, did we actually break the pattern? Or was the pattern a lie all along?
Chapter - 2: Low Float, High FDV 
This wasn’t a new problem, but damn, this cycle made it worse than ever.

▨ VCs controlled everything—grabbing 40%+ of a project’s supply before retail even had a chance. 
▨ Only 10% of supply was circulating, with the rest locked, ready to dump as soon as prices pumped. 
▨ Retail got rugged before they even started.

Instead of buying innovation, retail was forced into exit liquidity mode. 
The moment a hyped-up alt hit the market, unlock schedules crushed the price, and suddenly, what looked like a promising project turned into a slow-motion rug pull.
High FDV = high risk, low reward. And people caught on quick. Instead of piling into these projects, they just stayed away, leaving VC-funded altcoins to bleed into irrelevance.
Chapter - 3: Memecoins and the Retail 
This cycle? Memecoins didn’t just play a role. They became the entire game.

▨ Retail didn’t bet on tech. They bet on vibes. Instead of hunting for “the next Ethereum,” they YOLO’d into shitcoins with funny names. 
▨ Pump.fun made gambling too easy. People weren’t investing anymore—they were playing a glorified slot machine. 
▨ VC-backed alts stood no chance. Why lock tokens for months in a high-FDV deathtrap when a random Solana memecoin could 100x overnight?

This wasn’t just a market trend. It was a shift in how retail plays the game. Traditional alts didn’t just struggle—they got ignored.
Chapter - 4: The Rotation 
Rotation fuels altseason. But this time? It never happened

▨ BTC dominance refused to drop. Normally, after BTC runs, dominance falls as money moves into alts. This cycle? It stayed high and kept rising. 
▨ ETH underperformed. The ETH/BTC ratio hit multi-year lows, and even the ETH ETF announcement barely moved the needle. 
▨ VC-backed alts turned into liquidity traps. Instead of leading the market, they bled out post-TGE.

Altseason needs rotation. But BTC kept all the liquidity, retail chased memes, and VCs killed trust.
Chapter - 5: TradFi and Institutions Altseason
Crypto used to be wild. This cycle? TradFi showed up and made it boring.

▨ The Bitcoin-Only Liquidity Trap Spot Bitcoin ETFs sucked in billions from BlackRock, Fidelity, and other TradFi giants. But they only bought BTC. Retail followed their lead, believing “institutions know best.” This left zero liquidity for alts.
▨ Ethereum’s Institutional Flop People expected an ETH ETF to spark a rally. Instead, ETH/BTC collapsed. Institutions don’t care about ETH—it’s too complex, too risky. Without ETH leading the way, alts never got their turn.
▨ VC Dumping and High FDV Scams VCs used TradFi’s presence to rug retail harder than ever. They didn’t invest in projects—they cashed out.
▨ Bitcoin Maximalism Went Corporate Before TradFi, BTC maxis were just Twitter loudmouths. Now?

 They’re running the show. Big firms pushed the “Bitcoin is the only crypto worth holding” narrative, killing retail appetite for alts.
TL;DR: TradFi made Bitcoin mainstream, but it killed the speculation that fueled altseason.
Chapter - 6: What Comes Next?
So, is altseason officially dead? Not really. But it won’t look the same as before.

▨ The old cycle is gone. Don’t expect a massive altcoin rotation like in 2017 or 2021. 
▨ New narratives will be there. The AI sector, RWAs, and real decentralized infra might lead instead. 
▨ BTC dominance isn’t fading soon. As long as institutions keep buying BTC, alts won’t get much oxygen.

If you’re waiting for a classic altseason, you’re waiting for something that may never come. The winners of this market? They’ll be the ones adapting, not holding onto old patterns. Dont Chase Speculation Chase Innovation & Sometimes Memes (😊)

▨ Messari
▨ Bitcoin Treasuries
▨ Kaiko
▨ Binance Research

🅃🄴🄲🄷🄰🄽🄳🅃🄸🄿🅂123
#USTariffs
#BitcoinReserveWave
#altsesaon

Artificial intelligence (AI) has become a common term in everydays lingo, while blockchain, though often seen as distinct, is gaining prominence in the tech world, especially within the Finance space. Concepts like "AI Blockchain," "AI Crypto," and similar terms highlight the convergence of these two powerful technologies. Though distinct, AI and blockchain are increasingly being combined to drive innovation, complexity, and transformation across various industries.

The integration of AI and blockchain is creating a multi-layered ecosystem with the potential to revolutionize industries, enhance security, and improve efficiencies. Though both are different and polar opposite of each other. But, De-Centralisation of Artificial intelligence quite the right thing towards giving the authority to the people.

The Whole Decentralized AI ecosystem can be understood by breaking it down into three primary layers: the Application Layer, the Middleware Layer, and the Infrastructure Layer. Each of these layers consists of sub-layers that work together to enable the seamless creation and deployment of AI within blockchain frameworks. Let's Find out How These Actually Works......
TL;DR
Application Layer: Users interact with AI-enhanced blockchain services in this layer. Examples include AI-powered finance, healthcare, education, and supply chain solutions.Middleware Layer: This layer connects applications to infrastructure. It provides services like AI training networks, oracles, and decentralized agents for seamless AI operations.Infrastructure Layer: The backbone of the ecosystem, this layer offers decentralized cloud computing, GPU rendering, and storage solutions for scalable, secure AI and blockchain operations.

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💡Application Layer
The Application Layer is the most tangible part of the ecosystem, where end-users interact with AI-enhanced blockchain services. It integrates AI with blockchain to create innovative applications, driving the evolution of user experiences across various domains.

 User-Facing Applications:
   AI-Driven Financial Platforms: Beyond AI Trading Bots, platforms like Numerai leverage AI to manage decentralized hedge funds. Users can contribute models to predict stock market movements, and the best-performing models are used to inform real-world trading decisions. This democratizes access to sophisticated financial strategies and leverages collective intelligence.AI-Powered Decentralized Autonomous Organizations (DAOs): DAOstack utilizes AI to optimize decision-making processes within DAOs, ensuring more efficient governance by predicting outcomes, suggesting actions, and automating routine decisions.Healthcare dApps: Doc.ai is a project that integrates AI with blockchain to offer personalized health insights. Patients can manage their health data securely, while AI analyzes patterns to provide tailored health recommendations.Education Platforms: SingularityNET and Aletheia AI have been pioneering in using AI within education by offering personalized learning experiences, where AI-driven tutors provide tailored guidance to students, enhancing learning outcomes through decentralized platforms.

Enterprise Solutions:
AI-Powered Supply Chain: Morpheus.Network utilizes AI to streamline global supply chains. By combining blockchain's transparency with AI's predictive capabilities, it enhances logistics efficiency, predicts disruptions, and automates compliance with global trade regulations. AI-Enhanced Identity Verification: Civic and uPort integrate AI with blockchain to offer advanced identity verification solutions. AI analyzes user behavior to detect fraud, while blockchain ensures that personal data remains secure and under the control of the user.Smart City Solutions: MXC Foundation leverages AI and blockchain to optimize urban infrastructure, managing everything from energy consumption to traffic flow in real-time, thereby improving efficiency and reducing operational costs.

🏵️ Middleware Layer
The Middleware Layer connects the user-facing applications with the underlying infrastructure, providing essential services that facilitate the seamless operation of AI on the blockchain. This layer ensures interoperability, scalability, and efficiency.

AI Training Networks:
Decentralized AI training networks on blockchain combine the power of artificial intelligence with the security and transparency of blockchain technology. In this model, AI training data is distributed across multiple nodes on a blockchain network, ensuring data privacy, security, and preventing data centralization.
Ocean Protocol: This protocol focuses on democratizing AI by providing a marketplace for data sharing. Data providers can monetize their datasets, and AI developers can access diverse, high-quality data for training their models, all while ensuring data privacy through blockchain.Cortex: A decentralized AI platform that allows developers to upload AI models onto the blockchain, where they can be accessed and utilized by dApps. This ensures that AI models are transparent, auditable, and tamper-proof. Bittensor: The case of a sublayer class for such an implementation can be seen with Bittensor. It's a decentralized machine learning network where participants are incentivized to put in their computational resources and datasets. This network is underlain by the TAO token economy that rewards contributors according to the value they add to model training. This democratized model of AI training is, in actuality, revolutionizing the process by which models are developed, making it possible even for small players to contribute and benefit from leading-edge AI research.

 AI Agents and Autonomous Systems:
In this sublayer, the focus is more on platforms that allow the creation and deployment of autonomous AI agents that are then able to execute tasks in an independent manner. These interact with other agents, users, and systems in the blockchain environment to create a self-sustaining AI-driven process ecosystem.
SingularityNET: A decentralized marketplace for AI services where developers can offer their AI solutions to a global audience. SingularityNET’s AI agents can autonomously negotiate, interact, and execute services, facilitating a decentralized economy of AI services.iExec: This platform provides decentralized cloud computing resources specifically for AI applications, enabling developers to run their AI algorithms on a decentralized network, which enhances security and scalability while reducing costs. Fetch.AI: One class example of this sub-layer is Fetch.AI, which acts as a kind of decentralized middleware on top of which fully autonomous "agents" represent users in conducting operations. These agents are capable of negotiating and executing transactions, managing data, or optimizing processes, such as supply chain logistics or decentralized energy management. Fetch.AI is setting the foundations for a new era of decentralized automation where AI agents manage complicated tasks across a range of industries.

  AI-Powered Oracles:
Oracles are very important in bringing off-chain data on-chain. This sub-layer involves integrating AI into oracles to enhance the accuracy and reliability of the data which smart contracts depend on.
Oraichain: Oraichain offers AI-powered Oracle services, providing advanced data inputs to smart contracts for dApps with more complex, dynamic interaction. It allows smart contracts that are nimble in data analytics or machine learning models behind contract execution to relate to events taking place in the real world. Chainlink: Beyond simple data feeds, Chainlink integrates AI to process and deliver complex data analytics to smart contracts. It can analyze large datasets, predict outcomes, and offer decision-making support to decentralized applications, enhancing their functionality. Augur: While primarily a prediction market, Augur uses AI to analyze historical data and predict future events, feeding these insights into decentralized prediction markets. The integration of AI ensures more accurate and reliable predictions.

⚡ Infrastructure Layer
The Infrastructure Layer forms the backbone of the Crypto AI ecosystem, providing the essential computational power, storage, and networking required to support AI and blockchain operations. This layer ensures that the ecosystem is scalable, secure, and resilient.

 Decentralized Cloud Computing:
The sub-layer platforms behind this layer provide alternatives to centralized cloud services in order to keep everything decentralized. This gives scalability and flexible computing power to support AI workloads. They leverage otherwise idle resources in global data centers to create an elastic, more reliable, and cheaper cloud infrastructure.
  Akash Network: Akash is a decentralized cloud computing platform that shares unutilized computation resources by users, forming a marketplace for cloud services in a way that becomes more resilient, cost-effective, and secure than centralized providers. For AI developers, Akash offers a lot of computing power to train models or run complex algorithms, hence becoming a core component of the decentralized AI infrastructure. Ankr: Ankr offers a decentralized cloud infrastructure where users can deploy AI workloads. It provides a cost-effective alternative to traditional cloud services by leveraging underutilized resources in data centers globally, ensuring high availability and resilience.Dfinity: The Internet Computer by Dfinity aims to replace traditional IT infrastructure by providing a decentralized platform for running software and applications. For AI developers, this means deploying AI applications directly onto a decentralized internet, eliminating reliance on centralized cloud providers.

 Distributed Computing Networks:
This sublayer consists of platforms that perform computations on a global network of machines in such a manner that they offer the infrastructure required for large-scale workloads related to AI processing.
  Gensyn: The primary focus of Gensyn lies in decentralized infrastructure for AI workloads, providing a platform where users contribute their hardware resources to fuel AI training and inference tasks. A distributed approach can ensure the scalability of infrastructure and satisfy the demands of more complex AI applications. Hadron: This platform focuses on decentralized AI computation, where users can rent out idle computational power to AI developers. Hadron’s decentralized network is particularly suited for AI tasks that require massive parallel processing, such as training deep learning models. Hummingbot: An open-source project that allows users to create high-frequency trading bots on decentralized exchanges (DEXs). Hummingbot uses distributed computing resources to execute complex AI-driven trading strategies in real-time.

Decentralized GPU Rendering:
In the case of most AI tasks, especially those with integrated graphics, and in those cases with large-scale data processing, GPU rendering is key. Such platforms offer a decentralized access to GPU resources, meaning now it would be possible to perform heavy computation tasks that do not rely on centralized services.
Render Network: The network concentrates on decentralized GPU rendering power, which is able to do AI tasks—to be exact, those executed in an intensely processing way—neural net training and 3D rendering. This enables the Render Network to leverage the world's largest pool of GPUs, offering an economic and scalable solution to AI developers while reducing the time to market for AI-driven products and services. DeepBrain Chain: A decentralized AI computing platform that integrates GPU computing power with blockchain technology. It provides AI developers with access to distributed GPU resources, reducing the cost of training AI models while ensuring data privacy.  NKN (New Kind of Network): While primarily a decentralized data transmission network, NKN provides the underlying infrastructure to support distributed GPU rendering, enabling efficient AI model training and deployment across a decentralized network.

Decentralized Storage Solutions:
The management of vast amounts of data that would both be generated by and processed in AI applications requires decentralized storage. It includes platforms in this sublayer, which ensure accessibility and security in providing storage solutions.
Filecoin : Filecoin is a decentralized storage network where people can store and retrieve data. This provides a scalable, economically proven alternative to centralized solutions for the many times huge amounts of data required in AI applications. At best. At best, this sublayer would serve as an underpinning element to ensure data integrity and availability across AI-driven dApps and services. Arweave: This project offers a permanent, decentralized storage solution ideal for preserving the vast amounts of data generated by AI applications. Arweave ensures data immutability and availability, which is critical for the integrity of AI-driven applications. Storj: Another decentralized storage solution, Storj enables AI developers to store and retrieve large datasets across a distributed network securely. Storj’s decentralized nature ensures data redundancy and protection against single points of failure.

🟪 How Specific Layers Work Together? 
Data Generation and Storage: Data is the lifeblood of AI. The Infrastructure Layer’s decentralized storage solutions like Filecoin and Storj ensure that the vast amounts of data generated are securely stored, easily accessible, and immutable. This data is then fed into AI models housed on decentralized AI training networks like Ocean Protocol or Bittensor.AI Model Training and Deployment: The Middleware Layer, with platforms like iExec and Ankr, provides the necessary computational power to train AI models. These models can be decentralized using platforms like Cortex, where they become available for use by dApps. Execution and Interaction: Once trained, these AI models are deployed within the Application Layer, where user-facing applications like ChainGPT and Numerai utilize them to deliver personalized services, perform financial analysis, or enhance security through AI-driven fraud detection.Real-Time Data Processing: Oracles in the Middleware Layer, like Oraichain and Chainlink, feed real-time, AI-processed data to smart contracts, enabling dynamic and responsive decentralized applications.Autonomous Systems Management: AI agents from platforms like Fetch.AI operate autonomously, interacting with other agents and systems across the blockchain ecosystem to execute tasks, optimize processes, and manage decentralized operations without human intervention.

🔼 Data Credit
> Binance Research
> Messari
> Blockworks
> Coinbase Research
> Four Pillars
> Galaxy
> Medium

Since 2018, WalletConnect has quietly powered the Web3 experience and now it’s inviting users to become owners.
If you’ve ever connected your wallet to a dApp whether through MetaMask, Trust Wallet, Binance Wallet, Jupiter, or thousands of others chances are you’ve already used WalletConnect. It’s the invisible connectivity layer that makes the decentralized web work.
Today, WalletConnect supports:
Over 300 million secure connectionsAcross 61,000+ dApps and 700+ walletsServing more than 45 million users worldwide
This makes it one of the most trusted, battle-tested, and widely adopted infrastructure protocols in all of crypto.
🪙 Introducing $WCT : A Token for Real Utility
With the introduction of the WalletConnect Token ($WCT ), the network is moving toward a fully decentralized, permissionless future—empowering its users, partners, and contributors to shape the protocol.
Unlike speculative tokens, $WCT is built on strong fundamentals, with four core utilities:
Staking: Secure the WalletConnect Network and earn protocol rewardsGovernance: Participate in key decisions like protocol upgrades and fee structuresRewards: Active wallets, node operators, and contributors are incentivized through performance-based mechanismsFees: Future network activity may be governed by a MAU-based fee model paid in WCT
🛡️ Why WalletConnect Matters
The crypto ecosystem has long struggled with onboarding, interoperability, and UX fragmentation. WalletConnect solved that by giving users one reliable way to connect, regardless of which wallet or app they use.
It has stayed resilient through market cycles, remained open source, and has now proven it can support Web3 at scale.
In a world flooded with short-lived trends, WalletConnect stands apart—by quietly becoming one of the most relied-upon protocols in the industry.
🌱 Stake and Participate in the Future
With staking now live, users can take part in the network’s next chapter. Staking $WCT contributes to the decentralization and security of the protocol while offering a new way to earn aligned rewards.
👉 Stake here: staking.walletconnect.network
@WalletConnect isn’t just a connection tool. it’s the glue holding the onchain experience together. As the protocol evolves into a community-owned network, early participants now have the chance to own a stake in the very infrastructure they already trust and use daily.
#wct #WalletConnect

Since its mainnet launch in August 2023, Sei Network has rapidly evolved into one of the fastest Layer-1 blockchains, underpinning a boom in on-chain gaming, DeFi, and new financial primitives. In Q1 2025, the Sei ecosystem recorded 354,000 average daily gaming transactions (up 79.8% QoQ), with total value locked (TVL) surging 73.7% QoQ to $363.1M.

Fueling this momentum is Sei’s relentless focus on technical innovation. Everyone's Eye on anticipated "Giga" upgrade, which targeting a 50x improvement in throughput over existing EVM-compatible networks and a theoretical maximum capacity of five gigagas per second (with up to 250,000 TPS). This deep dive explores how Sei Giga, by pushing the boundaries of parallelization and consensus, is poised to reshape the landscape for MoveVM-based chains and high-performance blockchains as a whole.
The State of Fast Chains: Parallel Execution and Key Players
Parallel execution is now a prerequisite for blockchains aiming at mass-market applications and ultra-low latency use cases. Chains capable of transaction parallelization, where non-conflicting transactions execute simultaneously. It helps achieve far greater throughput and lower congestion than their sequential peers.

Landscape Overview
Sei and Solana demonstrate the power of parallelization, with Solana's Sealevel VM and Sei’s use of dependency mappings and optimistic parallelization to isolate and process independent transactions concurrently. 
Meanwhile, Aptos and Sui leverage the MoveVM for object-centric parallelism, tightly grouping transactions by "object" and routing them to validators for concurrent execution. 
However, classic EVM chains like Ethereum remain largely sequential, which limits throughput. Recent L2s and new L1s (Monad, MegaETH) are attempting to bridge this gap but still lack the combined ecosystem and mindshare of established platforms.
Sei Giga: Architecture and Innovations
What Is Sei Giga?
Announced in December 2024, Sei Giga is a major upgrade engineered to reimagine EVM performance via radical improvements in throughput, latency, and developer experience. The upgrade focuses on delivering:

5 gigagas/second compute capacity (with a target of ~250,000 TPS)Intelligent parallelization: Predicts transaction dependencies, maximizing the pool of non-conflicting parallel transactionsFirst-ever multiple concurrent proposers on an EVM Layer-1: Validators can submit blocks simultaneously, shattering bottlenecks in block productionSeiDB re-architecture: Overhauls storage for faster sync and state updates (up to 287x faster block commits, 60% reduction in state storage size)Optimistic parallelization: All transactions are assumed parallel-ready; those with conflicts fall back to sequential processingRevamped execution, consensus, and storage workstreams: Each redesigned for horizontal scalability
How Does It Work?
Sei Giga’s core innovation lies in decoupling consensus (transaction ordering) from transaction execution, allowing block production and validation to occur independently. Combined with predictive transaction dependency mapping (akin to how Sui/Aptos MoveVM handles objects), the system aggressively parallelizes workloads, achieving best-in-class throughput without sacrificing finality or security.
Step-by-Step: How Sei Giga Works
After understanding Sei Giga’s architecture and innovations, it’s important to break down exactly how these major upgrades work step by step. Below is a walk-through that bridges both a technical and general needs:

1. Transaction Receipt & Compatibility
User submits a transaction: Whether through a dApp, wallet, or other front-end, a user interacts with a smart contract or sends tokens, signing an Ethereum-compatible (EVM) transaction.Sei RPC interface: The transaction enters the network and is immediately translated into a native Sei format, ensuring seamless compatibility with the EVM environment. This step ensures developers and users have familiar tooling, while benefiting from Sei Giga’s underlying speed.
2. Parallel Processing & Optimistic Parallelization
All transactions assumed parallel by default: Unlike legacy systems that only parallelize with explicit developer input, Sei Giga “optimistically” assumes all transactions can be executed in parallel. The system examines whether transactions interact with overlapping state (e.g., same wallet balances, contracts). If not, they’re safely executed simultaneously to maximize throughput.Conflict detection and fallback: If a group of transactions does interact with the same state, they’re rerun and validated sequentially in a deterministic order until all conflicts are resolved. This means user experience improves (faster, more reliable execution), while developers don’t need to code special logic for parallelization.Technical note: This process leverages a dependency-mapping engine—akin to a directed acyclic graph (DAG)—to map and schedule transaction execution in real-time.
3. Multi-Proposer Autobahn Consensus
Multiple block proposers: Typical blockchains designate a single validator to propose each new block. Sei Giga introduces “Autobahn,” a consensus model where multiple validators (proposers) can simultaneously submit blocks, each operating in separate “lanes.” This allows the network to process and reach consensus across several blocks in parallel.Data availability and snapshots: Each “lane” generates proofs of data availability. Periodic “cuts” (snapshots of each lane’s head/tip) are aggregated for network-wide consensus on block ordering, decreasing time-to-finality and boosting system-wide throughput.Result: Block production is no longer bottlenecked by sequential proposer rotation; instead, it’s pipelined and parallelized.
4. Asynchronous State Commitment & Execution
Separation of ordering and execution: In most networks, transaction ordering and execution are tightly coupled, meaning blocks can’t be processed until ordered, executed, and verified. Sei Giga decouples these steps: blocks are finalized based on transaction ordering first, while execution happens asynchronously. State roots are then committed in subsequent blocks.Advantage: Validators continue producing new blocks even while previous ones are still being executed. This approach is inspired by high-performance computing (e.g., Block-STM) and supercharges time-to-finality.
5. Advanced Storage: SeiDB V2
Flat key-value storage: Sei Giga’s new storage architecture replaces the Merkle tree with a flat key-value system, optimized for RAM and asynchronous disk access. This allows for orders of magnitude faster state access and writing, crucial for supporting the increase in throughput.Separation of hot/cold data: Frequently used (hot) state is kept on fast SSDs/RAM, while older (cold) data is offloaded to a distributed database, significantly reducing active state size. Commitments use cryptographic accumulators for fast, verifiable consensus.Performance gains (Q1 2025): 60% reduction in state storage, 12x faster state sync times, 287x faster block commit, 2x higher throughput, and 90% reduction in archive state size.
6. Proof-of-Stake Security & Governance
DPoS mechanism: The core consensus engine is Delegated Proof of Stake (DPoS), with SEI as the native token used for fees, staking, and validator rewards. Community governance allows SEI stakers to vote on network upgrades, including parameters relevant to Giga.
7. Developer & User Impact
For developers: No need for custom parallelization logic; the network optimistically manages it. EVM compatibility makes it easy to port Ethereum dApps to Sei.For users: Ultra-fast confirmation, minimal fees, and a seamless experience even during network congestion.
How Sei Giga Differs: Real Metrics and Comparative Analysis

Performance Metrics
Sei Giga (Devnet, Q1 2025)
Achieved 5.4 gigagas/sec (~115,000 TPS) and 700ms time-to-finality in internal testsTargeting 250,000 TPS post-mainnet with 5 gigagas/sec capacityTVL surged 73.7% QoQ to $363.1M post-Giga launchDaily DEX volumes up 234.4% QoQ to $19.1M
Parallel execution is a great meta to look after. We already have some decent players in this space: Move (SUI & APTOS), NeonEVM, and of course, Sei itself. However, the recent upgrade is truly impactful and marks an upcoming dominance for Sei Giga. Although transaction speed alone doesn't fully define a great chain, it does demonstrate what the next generation of Web3 looks like: instant finality, near-instant transactions, and almost no congestion.

Hey Bro, I'm hearing about CLOBs everywhere on my timeline. What's the deal with that?

A CLOB (it stands for Central Limit Order Book) is basically the classic, old-school way that stock markets and pro crypto exchanges work.
Think of it like a massive, public scoreboard for buyers and sellers.

On one side, you have everyone posting the price they’re willing to buy at.
On the other side, you have everyone posting the price they're willing to sell at.

The scoreboard’s job is to match them up instantly.
So, how is that different from just swapping a coin on Uniswap?
Great question, because that’s the whole reason people are talking about it.
Most DeFi apps you use, like Uniswap, are AMMs (Automated Market Makers).
An AMM is like a vending machine.
You put your money in, and a math formula spits out the other coin based on what’s in the machine.
You're trading against a pool of money.
A CLOB is like an auction house.
You’re not trading against a machine; you’re trading directly with another person.
You yell out your price, and if someone else agrees, you make a deal.
Why would anyone use a CLOB then? Seems complicated.
It gives traders way more control.
You Set the Price:

On a CLOB, you can place a "limit order," meaning you can say,
"I am only buying Bitcoin when it hits exactly $100,000."
The system will only execute your trade at that price or better.
On an AMM, you just take whatever price the machine gives you at that moment.
Watching the Action:

It’s super transparent. You can see the whole list of all buy and sell orders (the "order book"),
which gives you a feel for the market's mood.
Where does a CLOB actually make a difference?
Pro Trading:
It’s what professional traders use on exchanges like Binance, Coinbase Pro, or dYdX.
It lets them use complex strategies.Stocks & Forex:
This system runs the entire traditional financial world, like the New York Stock Exchange.New DeFi:
A bunch of new decentralized exchanges are trying to build CLOBs on-chain
to bring that pro-level control and efficiency to DeFi.
Alright, so what's the downside?
Needs Lots of People:
A CLOB only works well when there are tons of buyers and sellers online at the same time.
If there isn't much activity (low "liquidity"), it can be hard to find someone to trade with.
Can Be More Complex:
For a total beginner, just swapping on an AMM is definitely simpler.
A CLOB has more moving parts to understand.
Where to actually see CLOBs in action?
dYdX v4 → The biggest decentralized perpetuals exchange running a fully on-chain CLOBVertex → A high-speed on-chain CLOB with centralized matching but crypto-native experienceAevo → Built by Ribbon, offers on-chain options and perps via order book mechanicsHyperliquid → A non-EVM L1 designed specifically for low-latency CLOB tradingInjective → Modular L1 with an order book module that powers apps like Helix
So many order books to trade on, and you still can't get your life in order lol 😂 😂 😂

😭😭😭😭😭😭

Hey bro, I read some mad Twitter thread about Succinct but I swear it felt like I was reading quantum physics. What the hell is it?
Bro, Because you Just Blindly Reading. Let me give it to you straight: Succinct is building a teleportation system for blockchain data.

"Bro wtf does that even mean - teleportation??"
Alright bro!  picture this:
Normally, if Ethereum wants to know what happened on Solana, it’s gotta download a ton of data. Block headers, transactions, receipts. Whole mess.
That’s like trying to bring your entire house just to show someone your living room.
Succinct says: "Yo, let me compress that entire house into one tiny proof." Now it can easily verifiable. 
"So... it’s about that ZK stuff again, huh?"
Yeah. But not just any ZK.
Succinct builds ZK infrastructure and they make it insanely easy for devs to use ZK proofs. 
You can prove something happened on one chain without copying the whole thing.
Think: "I don’t need to read the whole book, just show me the stamp that says it’s legit."

"But how does that help me, bro? I’m just here tryna stake, farm, buy memes ."
It helps you without you even knowing. With Succinct:
✅ You can move assets between chains faster and safer
✅ DApps can talk across chains without middlemen
✅ Bridges become trustless AF
✅ Everything gets way cheaper on gas

"But like… is this for real or experiment?"
Nah bro, this ain't some Tiktok experiment.
Succinct already powers zk-access to Ethereum, and they dropped “SNARKtor” which is a ZK light client you can plug anywhere.
They’re working with legit giants like L2s, EigenLayer, Celestia, and more.

"So Succinct is like… the courier that proves the package was real without showing the full content?"
Exactly. And the courier don’t lie math backs him up.
Wow BRO! you're so Smart 🤓. Yeah! Smart with a hideous Face 😈 😂😂😂

😭😭😭😭