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What is the best Wordpress package plan? Is it available from scalahosting.com or host4.biz?
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RolandNixon replied to Torabingo's topic in Hosting & Domain Providers
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Where to use proxies with checkers and parsers Checkers and parsers let you validate accounts at scale, collect data, and analyze sites. Proxies here aren’t optional — they’re a required part of the infrastructure. To: — Avoid instant blocks and rate limits — Parse protected sites, marketplaces, and search engines — Run SEO tools and account checkers without interruptions — Scale data collection safely 👉 For stable checker and parser operation you need quality residential or mobile proxies 🔥 What’s inside: — Why direct requests get blocked: rate limits, CAPTCHAs, cloaking — The role of device/fingerprint and why a single IP isn’t enough — Where proxies are mandatory: SEO parsing, marketplaces, account checkers — Proxy types and rotation modes for each task — Common mistakes: using DC proxies for Google/Amazon, one proxy for many accounts, wrong geo The full guide is in our new article
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I stick to writing for blogs with real audiences and solid engagement instead of just high domain ratings, since that usually brings both traffic and better quality backlinks over time.
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Essential Reading for Amazon Workers: Proxy Isn't "Black Technology," But a Powerful Tool for Compliant Operations Always encountering these pitfalls on Amazon? Accounts inexplicably linked, unable to see local prices when viewing competitors, ads performing poorly in target markets—choosing the right proxy can solve these problems. 3 Core Uses of Proxy, Directly Adopted by Sellers: Prevent Account Linkage: When operating multiple stores, use static IPs from different regions to bind the corresponding accounts, simulating real local seller operations and avoiding detection of account linking by Amazon. View Real Local Data: Want to understand competitors' real-time prices and reviews in the US market? Switch to a local IP to directly access pages consistent with local buyers, ensuring the accuracy of your research. Test Ad Performance: Before running ads in the European market, open links using an IP from the target country/region to check if the main image and copy display correctly, avoiding conversion rate issues caused by regional differences. Important Note: Never use free proxies! They are unstable and may cause your IP address to be flagged. Please choose a reputable service provider like NaProxy that provides residential IP addresses; compliance is key to long-term stable operation.
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I will write and post an article on business topics on my blog
Scarlett Zoey replied to Hyipmoney's topic in Content Creation
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#UNI #cryptomarket UNI’s price and hype have exploded! Although a 50% surge isn’t particularly rare in the crypto market, it’s been a long time since we’ve seen a token like UNI suddenly break out with such a massive green candle — one that instantly ignited widespread discussion and community frenzy. On November 11, UNI surged nearly 50% in a short period, with its price peaking above $10, sparking heated debate across the market and community. The rally was widely attributed to a joint governance proposal submitted by Uniswap Labs and the Uniswap Foundation — the “UNIfication” proposal, which aims to introduce long-term value mechanisms, restructured incentive systems, and a token burn mechanism. But how could a single governance proposal trigger such a dramatic response in both UNI and the broader market? The reason is simple: this proposal doesn’t just alter token mechanics — it fundamentally reshapes the relationship between the protocol and its token holders, transforming UNI from a “governance token” into a “value-bearing asset.” In the crypto world, such structural changes are often far more meaningful than mere feature upgrades. Since everything starts from the “UNIfication” proposal, let’s break it down across four key dimensions — proposal details, market logic, token value impact, and risk factors — to understand why UNI is suddenly being revalued, and where its opportunities and pitfalls may lie. The UNIfication Proposal: Eight Core Elements This governance proposal, jointly submitted by Uniswap Labs and the Foundation, centers around three ideas: activating protocol fee switches + systematic UNI burning + restructuring the ecosystem model. Here are the eight key components: 1. Activate the Protocol Fee Switch The proposal recommends enabling the fee switch via governance voting — redirecting a portion of trading pool fees to the protocol, instead of fully to liquidity providers (LPs). For example: in v2 pools, the 0.3% LP fee currently goes entirely to LPs. After activation, it becomes 0.25% for LPs and 0.05% for the protocol. In v3, the initial split may allocate ¼ or ⅙ of LP fees to the protocol. 2. Include Unichain Sequencer Fees in the Burn Mechanism Beyond mainnet v2/v3 fees, Uniswap’s own or partner L2 chain “Unichain” Sequencer fees will also be integrated into the UNI burn system. 3. Establish a Protocol Fee Discount Auction (PFDA) Mechanism This allows traders to bid for “fee exemption” rights, with the winning bid used to burn UNI — converting what would otherwise be MEV (Maximal Extractable Value) profits into protocol revenue. Preliminary estimates suggest every $10,000 in trading could bring an additional $0.06–$0.26 in revenue for LPs. 4. Aggregator Hooks Mechanism In Uniswap v4, the protocol will support “hooks,” enabling Uniswap to act as an on-chain aggregator that collects fees from other protocols or external liquidity sources — part of which will be used for UNI burns. 5. Burn 100 Million UNI from the Treasury/Foundation This retroactive action compensates for potential past burns that would have occurred if the fee switch had been active from the start. The estimated total of 100 million UNI will be burned from the treasury/foundation reserves. 6. Labs to Focus on Protocol Growth, Removing Fees from Frontend/Wallet/API Services The proposal suggests setting fees for products like interfaces, wallets, and APIs (maintained by Labs) to zero, removing profit incentives from those products and allowing Labs to focus on protocol development. 7. Migrate Ecosystem Teams from the Foundation to Labs The Foundation will take a backseat, while ecosystem support, funding, developer relations, and governance operations will shift under Labs, with growth funding sourced from the treasury. 8. Migrate and Burn Governance-Held Unisocks Liquidity Positions As a symbolic supply lock, Unisocks liquidity held by governance will be migrated from v1 to Unichain v4, and LP positions will be burned — permanently locking that portion of supply. Why the Market Reacted So Strongly: A Change in Token Logic and Value 1. Change in Token Logic (1) From “Speculative Governance” to “Yield + Burn” Previously, UNI was largely seen as a governance token — holders could vote, but not directly share in protocol value. This proposal explicitly ties protocol activity (DEX trading, liquidity provision, aggregator usage) to UNI’s intrinsic value — using protocol fees to burn UNI, reducing supply and increasing holder value. This shift from “governance participation” to “value capture” fundamentally transforms UNI into a productive asset. In markets, such structural upgrades often spark strong reactions. (2) Supply Reduction + Enhanced Burn Mechanism Burn narratives are always hot in crypto. The dual system — a one-time 100 million burn plus ongoing burn from protocol revenue — makes supply reduction predictable. Economically, Value = Usage × Scarcity, and this proposal optimizes both variables. Hence, the market quickly repriced UNI, driving the sharp surge. (3) Improved Incentive Alignment, Reduced Ecosystem Risk By removing product fees for Labs and refocusing efforts on protocol growth, while migrating ecosystem teams into Labs, the proposal aligns incentives across stakeholders — token holders, developers, LPs, and users. This structural alignment reduces governance and systemic risks, boosting market confidence in Uniswap’s long-term sustainability. (4) Market Sentiment and Liquidity Synergy On-chain data showed whales began accumulating UNI before the proposal’s release — locking tokens, reducing exchange inflows, and increasing transaction frequency. After the announcement, trading volume spiked, and UNI broke key resistance levels. This combination of structural catalyst + sentiment trigger is a classic driver of crypto rallies. 2. Repricing UNI: From Narrative to Valuation (1) A New Valuation Framework: Cash-Flow Model vs. Speculative Model Analysts began treating protocol fee income as “free cash flow”, calculating UNI’s P/E-like valuation. Uniswap’s annual fee revenue is estimated between $1.5B and $2.76B. Assuming one-sixth goes to buybacks/burns, UNI’s yield would fall around 0.4%–1.5% based on 629 million circulating supply. For institutional investors, this “cash-flow” logic is far more tangible than a vague “future upside” narrative. (2) Potential Price Targets and Upside Space With supply reductions and renewed growth budgets (e.g., 20 million UNI per year), and assuming increased trading volume, aggregator expansion, and multi-chain integration, UNI could evolve into a cross-chain DEX infrastructure token. Optimists suggest a reasonable price range of $12–$15 — or higher — if the proposal passes and is executed effectively. (3) Remaining Risks and Counter-Forces Despite valuation improvements, several risks remain: LPs might exit if protocol fees reduce their rewards, hurting liquidity; DEX competition could erode Uniswap’s market share; Governance approval and technical deployment still carry uncertainty; Markets demand delivery before sustaining premiums. Proposal Process and Execution Path According to official disclosures, the proposal will take about 22 days in total: 7 days for discussion, 5 days for a snapshot vote, and 10 days for on-chain voting and execution. Community participation, delegation, voting power, and token locking during this period will all influence the outcome. The fee switch will be activated in stages — starting with v2 and mainnet v3 pools (covering 80–95% of LP fees on Ethereum), then expanding to L2s, other L1s, v4, and aggregator hooks. Contracts such as TokenJar and Firepit are already deployed, while adapter contracts are in development. Thus, the real impact may occur during execution, not merely upon announcement. On-chain data post-announcement also revealed clear signals — whale accumulation, increased staking, and reduced exchange inflows — suggesting participants are positioning early for the proposal’s outcome. In structural upgrades like this, price often reacts before fundamentals materialize. Conclusion: UNI’s Return to a Value Path? UNI’s surge reflects more than short-term hype — it signals a revaluation of Uniswap’s role as DeFi’s foundational infrastructure. It marks a transition from a “governance token” to a “value-capturing asset”, and from a “liquidity protocol” to a “default decentralized exchange for tokenized assets.” From the moment this proposal was introduced, UNI ceased to be a mere speculative token — it became an asset backed by real mechanisms. Such a transformation deserves more attention than any flashy product launch or hype-driven rally. Of course, risks remain. But the combination of structural reform + on-chain mechanism shift + whale accumulation suggests that this rally may not be fleeting — it could represent the beginning of a valuation correction. If Uniswap can execute the proposal smoothly, UNI may well evolve from a “crypto token” into a “financial infrastructure asset.” And in that case, this long-overdue revaluation may have only just begun.
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#SuperEx #EducationalSeries #MerkleTree Today’s topic is Merkle Trees — and yes, the name alone sounds like something straight out of a research paper, the kind of thing that makes you want to step back like it’s a math function. But in reality, Merkle Trees are an essential concept in Web3. You don’t have to understand every technical detail, but you definitely shouldn’t be completely unaware of what they are. Without it, Bitcoin wouldn’t be scalable, Ethereum couldn’t verify data so efficiently, and the entire Web3 ecosystem might collapse under the weight of its own transactions. In this article, we’ll break down what a Merkle Tree is, how it works, and why it’s so critical for blockchain technology. What Exactly Is a Merkle Tree? Imagine you’re running a grocery store with thousands of receipts every day.At the end of the day, you need to confirm that all receipts are real — but checking every single one manually would take forever. What if you could just compare a single code that represents all receipts at once — and instantly know whether anything was altered? That’s exactly what a Merkle Tree does for blockchain. A Merkle Tree (or hash tree) is a data structure that organizes information efficiently for verification. It breaks data into smaller chunks, hashes them (turns them into digital fingerprints), and then combines those hashes into a single root hash — the Merkle Root. In simple terms: Merkle Tree = A way to verify huge amounts of data with a single, small piece of information. How Does a Merkle Tree Work? Let’s walk through a simple example. Suppose we have four transactions in a block: Tx1, Tx2, Tx3, Tx4. Here’s what happens: 1. Hash each transaction H1 = Hash(Tx1) H2 = Hash(Tx2) H3 = Hash(Tx3) H4 = Hash(Tx4) 2. Combine and hash them in pairs H12 = Hash(H1 + H2) H34 = Hash(H3 + H4) 3. Combine again to form the root H1234 = Hash(H12 + H34) H1234 is the Merkle Root — a single hash that represents all transactions:If even one transaction changes (say Tx2), the entire chain of hashes changes, meaning the Merkle Root changes too — exposing tampering immediately. Why Blockchain Needs Merkle Trees In traditional databases, data verification is centralized and relatively easy. But in a decentralized blockchain, where every node holds a copy of the ledger, efficiency and security become major challenges. Here’s how Merkle Trees solve that: 1. Efficient Verification (SPV) Bitcoin’s Simplified Payment Verification (SPV) allows lightweight nodes (like mobile wallets) to verify transactions without downloading the entire blockchain. They only need: The block header (which includes the Merkle Root) A Merkle Proof (a few related hashes) This lets them confirm that a transaction is real — saving massive bandwidth and time. 2. Data Integrity Because each layer of the Merkle Tree depends on the previous hashes, altering even one transaction would cause a chain reaction of mismatches — immediately exposing fraud or manipulation. 3. Scalability Instead of verifying thousands of transactions individually, nodes can validate just the root hash. That makes blockchain systems like Bitcoin and Ethereum scalable and lightweight while maintaining security. The Anatomy of a Merkle Tree Let’s go one layer deeper. A typical Merkle Tree consists of three main components: Leaf Nodes:Contain the hashed data of individual transactions Intermediate Nodes:Contain hashes of concatenated child nodes Root Node (Merkle Root):The final hash summarizing all underlying data Visually, it looks like this: Each branch connects through hashes, forming a “tree” where all leaves (transactions) ultimately connect to a single root. Merkle Proof — Verifying Without Seeing Everything In blockchain, downloading every transaction just to confirm one is inefficient. Merkle Trees enable a trick called Merkle Proof. Suppose Alice wants to verify that Tx3 exists in a block. She doesn’t need all transactions — only: H3, H4, and H12 H34 = Hash(H3 + H4) Merkle Root = Hash(H12 + H34) If her calculated Merkle Root matches the block’s official root, she knows Tx3 is valid. This lightweight verification is what enables Bitcoin SPV wallets and efficient cross-chain systems. Types of Merkle Trees There isn’t just one Merkle Tree. Different designs exist to meet the growing complexity of blockchain systems — from simple payment chains like Bitcoin to smart contract platforms like Ethereum and privacy-focused Layer-2s. Let’s explore the three most influential types of Merkle Trees and how they shape the blockchain landscape. 1. Binary Merkle Tree — The Classic Backbone The Binary Merkle Tree is the original and most widely used form. In this structure, each node has exactly two children, and each leaf node represents the hash of a piece of data (like a transaction). Parent nodes are built by hashing the concatenation of their child nodes until a single Merkle Root is formed. It’s elegant, efficient, and battle-tested. Bitcoin uses it to organize all transactions within a block — enabling fast verification, tamper detection, and lightweight validation through SPV (Simplified Payment Verification). For example, a mobile wallet that doesn’t store the full blockchain can still verify if a transaction is included in a block simply by checking a small subset of hashes (a Merkle proof). This makes the Binary Merkle Tree the foundation of blockchain efficiency and scalability. However, it’s not perfect. As block sizes grow and transaction numbers explode, even binary trees can become large, making synchronization and proof generation slower. This limitation paved the way for more advanced variations like Patricia and Sparse Merkle Trees. 2. Patricia Merkle Tree (or Trie) — The Smart Contract Enabler Ethereum took the Merkle Tree a step further with the Patricia Merkle Trie (or MPT). This is not just a tree for verification — it’s a hybrid of a Merkle Tree and a Prefix Tree (Trie), optimized for storing key-value pairs. In simple terms: A Binary Merkle Tree only tells you “whether data exists and is valid.” A Patricia Merkle Trie tells you “which key belongs to which data, and how to find or update it efficiently.” Each node in a Patricia Trie represents a prefix of a key, and data is stored along specific paths. This structure is what makes Ethereum’s state database — including account balances, contract code, and storage variables — both verifiable and searchable. Ethereum actually maintains three separate Merkle Patricia Tries: 1) State Trie: Tracks all account balances and smart contract states. 2) Transaction Trie: Contains all transactions in a block. 3) Receipt Trie: Records execution results and logs. Every block header stores the root hash of these three tries, giving Ethereum a trustless, verifiable global state. Whenever a transaction changes any account or contract, the state trie updates — and a new Merkle Root is produced. This innovation is what allows Ethereum to go beyond simple transactions and become the foundation of decentralized applications (DApps) and DeFi ecosystems. It’s also why Merkle structures remain relevant even as blockchains evolve into multi-layer architectures. 3. Sparse Merkle Tree — The Bridge to Privacy and Scalability The Sparse Merkle Tree (SMT) is a modern evolution of the traditional design. It was created to handle large, dynamic datasets where not every possible leaf has an active value. In a Sparse Merkle Tree: The tree includes every possible key in a fixed-size keyspace (e.g., ²²⁵⁶ leaves). Empty positions are filled with a default hash value. Proofs can be generated not only for existence of data but also for its non-existence. Why is that important? Because in many systems — especially zk-rollups, Layer-2 solutions, and privacy protocols — you often need to prove that something does not exist, such as a nullified note or a spent transaction. Traditional Merkle Trees can’t do that efficiently; Sparse Merkle Trees can.They also allow constant-size proofs, no matter how large the dataset grows. This property makes them ideal for: Zero-knowledge systems (zk-SNARKs) Proof-of-reserves audits Decentralized identity and access control Projects like Celestia, Mina Protocol, and several rollups use Sparse Merkle Trees (or modified versions) to balance efficiency, privacy, and verifiability. Specific ecological total Merkle Trees 1. Merkle Trees in Bitcoin Bitcoin stores all transactions of a block inside a Merkle Tree, and the Merkle Root is included in the block header. When miners create a new block: They hash all transactions into a Merkle Tree Include the Merkle Root in the header Then compute the block hash using Proof of Work That’s why if any transaction changes, the Merkle Root changes → block hash changes → the block becomes invalid. This chain of dependency ensures immutability — the foundation of Bitcoin’s trust model. 2. Merkle Trees in Ethereum Ethereum extends the concept even further with Merkle Patricia Tries (MPT). Ethereum doesn’t just record transactions — it stores account states, balances, and smart contract data. To manage all that efficiently, it uses three tries: State Trie — account balances, nonces, storage roots Transaction Trie — all transactions in a block Receipt Trie — all transaction receipts Each trie has its own Merkle Root, and the three roots are combined into the block header. This makes Ethereum auditable, verifiable, and tamper-resistant — all thanks to Merkle structures. 3. Merkle Trees Beyond Blockchain Merkle Trees aren’t just for crypto. Their design is so elegant that they’re now used across tech industries. Applications include: File integrity verification (Git, IPFS) Secure cloud storage (Google Drive, Dropbox) Certificate transparency (TLS/SSL auditing) Decentralized storage (Filecoin, Arweave) Zero-knowledge proofs & rollups Basically, anywhere data integrity and verification matter — Merkle Trees play a role. Why You Should Care About Merkle Trees Even though they sound “technical,” Merkle Trees are what make trustless systems possible. Without them: Blockchains would need to transmit massive amounts of redundant data. Verification would be painfully slow. The “trustless” nature of Web3 wouldn’t exist. Every time your wallet shows a transaction confirmed, or you verify a smart contract event — a Merkle Tree is quietly doing the work behind the scenes. They’re not visible, but they’re indispensable. Conclusion: The Root of Trust Merkle Trees may look simple — just hashes stacked in pairs — but they represent one of the most powerful ideas in computer science. They compress massive data sets into tiny, verifiable proofs. They turn decentralized systems from theory into practice. They embody one of blockchain’s deepest values: don’t trust, verify. As blockchain continues evolving — from rollups to zk-proofs to multi-chain universes — the Merkle Tree remains the invisible foundation holding it all together. So the next time you check a transaction hash, remember: Beneath that number lies a tree — and that tree holds the entire blockchain together.
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MonetizeBetter would like to wish all members celebrating their birthday today a happy birthday: Devstringx Technologies (33)nallakuttalam --Tekisale (33)kiyoshiie (37)Tuaret (30)JusephHubert (34)Ciara Savoy (28)Riverdayspa (45)Rexhunter (31)sommatool2 (30)Kenrik (31),
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Lock, Stock and Two Smoking Barrels. The advertiser is Stars Partners (ex. Lala.Stars) and the product is OceanSpin. Our first campaign was launched in June and focused mainly on ASO traffic, which was approved in advance under fixed CPA terms with no KPI or retention requirements. Shortly after, without any factual justification, traffic from four independent webmasters amounting to €16,400 was labeled as fraudulent. The accusation was made retroactively, after approval and invoicing, and based solely on “ChatGPT analytics” and generic “activity screenshots.” Despite this, management refused to provide data or engage in proper review. Requests for a detailed report were ignored, while the entire flow was labeled “partner fraud.”The decision appeared arbitrary, made after the fact, and inconsistent with the advertiser’s own approval and payment confirmation. Although the advertiser declined to fulfill the payout, we fully compensated our webmasters for the approved traffic at our own expense, as they should not bear the consequences of the advertiser’s internal decisions. For us, this case was not only about payment, but about maintaining trust, accountability, and transparency within our partner network. → We are aware that we are not the only partners who have faced such an issue. The market should be informed about this case. Well, this is just denial, nothing more... Although we are presenting everything quite reasonably.
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Q3Network joined the community
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AdsEmpire Official changed their profile photo
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AdsEmpire Turns 5! We can’t believe it’s already been 5 years of growth, hustle, and pure affiliate energy. What a ride! From the very beginning, we’ve been building more than just a network. We’ve built a genuine community of driven, creative, and unstoppable individuals. Every milestone, every campaign, every win - we’ve achieved it together. To all our amazing partners, affiliates, and friends, thank you for being part of this journey. You’re the reason we keep pushing limits, creating something cool every day, and having fun while doing it. Here’s to keeping the drive alive, growing stronger, and reaching even greater heights together. Let’s keep it Empire.
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Want any application to work through a proxy? In this video, we show how to properly configure SocksCap64 — a powerful proxy client that allows you to run programs through SOCKS or HTTP proxies without changing system settings 🔥 What’s inside: — What a proxyficator is and why you need SocksCap64 — Step-by-step setup and adding proxies — How to route an application's traffic through SOCKS5 — IP check and fixing common errors — Tips for choosing stable proxies We cover everything in detail in our new video
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Selling Gmail USA IP | Gmail MIX IP | Outlook Old accounts
BURZH replied to BURZH's topic in Social Media Services
You can buy a Facebook/Apple/Yahoo account in our bot using the link below TG bot: https://t.me/Raccoonstockbot Channel: https://t.me/RaccoonStock Contact: https://t.me/changreta








