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atik.eth

@oxeth_evm

NFT Lover | Web3 Enthusiast | Collab Manager Community Admin https://t.co/6kt4PdL33l

Web3 انضم Ekim 2021
4K يتبع3K المتابعون
تغريدة مثبتة
atik.eth
atik.eth@oxeth_evm·
I have been quietly following @get_optimum for some time. It focuse on something most validator don't really think about. People spend time upgrading hardware or tuning setup. But the real limit often come from how data move between node. If that part is slow, everything else feel slower too. Optimum look at that layer differently. Instead of pushing full data every time, it break it into piece that can be rebuilt from whatever arrives. It is a simpler way to move information without wasting effort. The impact show up in small but important ways. Things arrive more reliably, less data get wasted and system do not have to work as hard to stay in sync. What stand out is how it fit in. no heavy setup just improving the part that was already there. Sometime the biggest gain don't come from adding more power. They come from fixing how things flow underneath. CM @shariaronchain
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atik.eth أُعيد تغريده
Pocket Spirit
Pocket Spirit@Pocketspirits·
$1,200 in ETH + WL rewards. ⚡ 20 winners. 3 weeks. Pocket Spirit: ASCENSION is live. Top contributors get rewarded for what’s happening right now inside the community. No bots. No noise. Just presence. ↓
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atik.eth
atik.eth@oxeth_evm·
I have been quietly following @get_optimum for some time. It focuse on something most validator don't really think about. People spend time upgrading hardware or tuning setup. But the real limit often come from how data move between node. If that part is slow, everything else feel slower too. Optimum look at that layer differently. Instead of pushing full data every time, it break it into piece that can be rebuilt from whatever arrives. It is a simpler way to move information without wasting effort. The impact show up in small but important ways. Things arrive more reliably, less data get wasted and system do not have to work as hard to stay in sync. What stand out is how it fit in. no heavy setup just improving the part that was already there. Sometime the biggest gain don't come from adding more power. They come from fixing how things flow underneath. CM @shariaronchain
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saze(revival arc)
saze(revival arc)@sazexbt·
most blockchains don’t fail, they just get slower, expensive, and messy as usage grows. More users → more load → more layers just to keep things running. and eventually, efficiency drops. all coming back to blockchain trilemma you can scale, stay secure, and stay decentralized… but not without trade-offs. that’s where @get_optimum comes in. instead of adding a stack of layers, Optimum focuses on fixing what’s underneath, how data actually moves and how networks handle it. Simple idea: optimize the base → everything on top works better. -Faster execution -Lower costs -Less bandwidth waste no hype, but better infrastructure. And it’s not just theory, Optimum has already raised $11M in seed funding to build this out, backed by major crypto investors like @GSR_io and @TheSpartanGroup to focus on scaling infra. not just the funding but with a brilliant team of @kentlinyy , @MurielMedard making it possible that alone tells you where the smart money is looking up, not noise, but better foundations.
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Tu Nex 🧃
Tu Nex 🧃@ox_tunex·
👀 April 29 isn’t just another trading day… it’s a volatility goldmine. 4 tech giants Google, Amazon, Meta, and Microsoft are all dropping earnings AFTER market close. Most traders will sit on the sidelines waiting for the bell. I won’t. Here’s my game plan 🧵👇 🧠 The Opportunity Earnings = expectation vs reality. And when these mega caps move… the entire market reacts. We’re not talking small moves we’re talking sharp, fast, momentum-driven price action. That’s where the edge is. ⚡ My Strategy (Simple but Intentional) Instead of guessing blindly, I’m focusing on: • Pre-earnings sentiment • Market expectations vs hype • Reaction speed after release I’m not here to gamble. I’m here to position smart and execute fast. 📊 Execution Plan 1️⃣ Watch price behavior BEFORE earnings – Is the stock already overextended? – Is hype priced in? 2️⃣ Wait for the earnings drop – No emotional entries – Let the market reveal direction 3️⃣ Enter on CONFIRMATION – Strong momentum = ride the trend – Fake move = stay out 4️⃣ Manage risk tightly – No overleveraging – Protect capital first, profit second 🚀 Why this matters Traditional traders are locked out after hours. But with @bitget 24/7 trading, I can: ✔ React instantly ✔ Catch the real move ✔ Avoid delayed entries That timing difference? That’s the advantage. 🎯 Focus Picks I’m watching: – $META for strong ad revenue surprise potential – $AMZN for guidance-driven volatility – $MSFT for AI-driven expectations (One clean trade > 10 random trades) --- 📌 Goal Not just to trade… but to trade with intention. I’ll be sharing my entries + results after earnings. Let’s see how this plays out 👇 Who else is positioning for this? Drop your bias: 📈 Bullish 📉 Bearish Let’s compare notes before the market d
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Kamrul
Kamrul@kamrulbroz·
How data is verified before any action? In many systems, data is used without proper checks. This often leads to incorrect outcomes. @RialoHQ introduces verification modules to address this issue. Before any action is taken, the system evaluates the data behind it. It checks identity, validates conditions, and confirms that the information is accurate. This creates a strong and reliable foundation. Because decisions should be based on verified data, not assumptions. @RialoHQ ensures that only trusted inputs are allowed to move forward. The process becomes clear and structured: This approach reduces risk, prevents incorrect execution, and improves overall system reliability. @RialoHQ verification modules ensure that every action starts with validated information and leads to trusted outcomes.
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Amaan
Amaan@bg_mi_2·
Most people approach prediction markets like a question. What’s going to happen? Traders approach them differently. What is the market pricing… and where is it wrong? The chart already reflects positioning. Your job isn’t to guess it’s to interpret. 1. Read the structure. 2. Identify where momentum shifts. 3. Adjust exposure as conditions change. 4. Execute when it matters. You’re not predicting outcomes. You’re trading positioning. @OmenX_Official
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YoungOldman
YoungOldman@xYoungOldmanx·
Gm Ct 2 years ago I started my web3 journey where I started learning how people make money in web3 Then one of my Og friend introduce me to learn crypto trading, once I completed it I thought how can i built my portfolio now ? Then another friend introduce me into airdrops, I worked a lot in some Airdrop project like: Monad Layer edge Kite Ai Open mind Zama ( Creators Program ) InfoFi projects In the mid of airdrops I landed on some mod jobs as well, so inshort I built some handsome portfolio And this is not end, Now I'm starting my new journey working with crypto exchanges And I'm proud to announce that now Im a part of @MEXC In the end I just want to say never give up you'll go through ups & downs in your journey but you need to be consistent and always focus, opportunities will come 🤝 Keep working hard !
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BlockWeb
BlockWeb@marurlemo·
Today, I want to discuss Quip Dual-Layer Architecture and why the project isn't just another blockchain. I understand that most people think Quip is just another blockchain upgrade. But it’s not. Quip @quipnetwork is built as two layers working together and that changes everything including that perception. The first layer is the Distributed 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 𝐏𝐫𝐨𝐭𝐨𝐜𝐨𝐥. This is where real work happens. It connects users to compute providers (both classical and quantum) through a simple system: input → output → verification. You don’t need to understand quantum physics to use it because the network abstracts all that away. The second layer is the 𝐈𝐧𝐭𝐞𝐫𝐥𝐨𝐜𝐤 𝐏𝐫𝐨𝐭𝐨𝐜𝐨𝐥. This is the security layer. It wraps assets with post-quantum protection using QUIPs (secure vault-like structures). Even if traditional cryptography breaks, your funds remain locked behind quantum-resistant signatures. So instead of forcing a new blockchain, Quip works on top of existing networks securing them while also powering computation across them. Simple way to see it: One layer does the work, the other protects the value. This is why Quip stands out. It’s not trying to replace blockchains. It’s quietly upgrading them for a future where quantum threats are real, and security can’t be an afterthought anymore. 𝐋𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐐𝐮𝐢𝐩: ➔ Follow X @quipnetwork ➔ Join Discord discord.gg/quipnetwork ➔ Check Docs quip.gitbook.io/docs @rcarback @cadillion
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lucky
lucky@LUCKYlaku25·
50 days. No funding. No paid users. And somehow… it’s working. Here’s what @Nasun_io io has actually built so far 👇 📊 Real traction (not incentives): • 10,500+ verified users • 37,000+ peak daily active addresses • 2,300+ daily traders on Pado • ~70% return rate (45 days) The key detail? For the first 38 days there were zero trading rewards. People still showed up. Used the product. Came back. ⏱️ Behavior > hype • ~13 min avg session • 1,600+ users doing 6+ onchain actions daily That’s not farming. That’s usage. 🌍 Fully organic growth No targeting. No campaigns. Users came from: Vietnam, Korea, Singapore, Indonesia, UK, Nigeria The cohort formed itself. 🧠 What Nasun is really building: Not just apps. → uju → where users stay → Pado → where they trade → GoStop → where they play Different surfaces. One user. One continuous behavior record. That’s the core idea. 📈 Why this matters: Most projects track wallets. Nasun tracks behavior over time. That’s the asset that compounds. 🎮 GoStop just launched Gaming + onchain activity = streaks, leaderboards, engagement rewards Same system as trading. Everything connects. 🤝 Community isn’t passive: In 7 days: • 861 content posts • 24 bug reports • 80+ feature submissions Users aren’t just using the product. They’re shaping it. ⚙️ What’s coming next: • Prediction markets (YES/NO orderbook) • uju account upgrade • More games + tournaments • Cross-chain integrations Built step by step. Validated in production. 50 days in: • every user is real • every metric is earned • every feature is used No shortcuts. Just behavior → retention → growth. 👀 This is what early product-market fit actually looks like in Web3
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Nasun@Nasun_io

x.com/i/article/2049…

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Crybabe
Crybabe@0xCrybabe·
Gm🌸 Shaye Backus🌸 Head of Growth @ PrismaX 🤎 Shaye Backus shapes brand, drives marketing, and cultivates partnerships. Her focus: turning emerging tech into actual products people use and designing the path to get there. @PrismaXai @shayebackus @vivianrobotics 🤎
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Crybabe@0xCrybabe

Gm🌸 Some numbers hit different. 50K feels like a warm hug from the future. 🥺 To everyone in the @PrismaXai Discord: you are the spark in the machine. Through every teleop idea, every late night AI debate, and every casual "good morning" you’ve turned code into community. And this momentum? It’s melting my heart. We’re not stopping. Just getting closer. If you’re not inside yet, there’s a seat saved for you right next to us. Let’s build what’s next. Softly. Fiercely. Together. ✨ Discord: discord.gg/prismaxai @PrismaXai @vivianrobotics 🤎

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S H A HE D (privacy szn)
S H A HE D (privacy szn)@shahed05miazee·
Most traders rely on one indicator. RSI. MACD. Moving averages. It feels simple. It feels clear. But that’s exactly the problem. A single indicator only shows one side of the market. Price might look bullish, while volume is weak. Momentum might look strong, while sentiment is turning negative. The market is never one-dimensional. So when you rely on one signal, you miss the full picture. This is why single-indicator trading often fails. It creates false confidence. You see a “perfect setup” but ignore everything else happening in the background. With RAFA AI, the approach is different. It doesn’t rely on one indicator. It uses multiple agents, each focused on a different type of signal. One tracks price. One reads sentiment. One analyzes liquidity and derivatives. One manages risk. Each agent works independently. Then their outputs are combined. A coordination layer evaluates: which signals matter more, which ones conflict, and how conditions are changing. So instead of one signal saying “buy”, the system asks: → does the full context support this decision? This reduces noise. It reduces bias. And it improves consistency. In simple terms, single-indicator trading is like making a decision with one eye closed. RAFA AI opens the full view. @RAFA_AI | @Metamorfozzz_
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Sakib49💥
Sakib49💥@shahriyasakib29·
How does Rafa AI balance the stock market for smarter investing? It’s not magic ; it’s data, discipline, and AI. Rafa AI uses a multi-factor strategy to maintain balance across portfolios by analyzing: • 📈 Core fundamentals — strong financial health matters • 🧠 Market sentiment — what the crowd is feeling (and missing) • ⚡ Short-term momentum — capturing quick opportunities • 📊 Mid-term trends — staying aligned with bigger moves Instead of chasing hype, Rafa AI continuously adjusts exposure reducing risk on overextended assets and reallocating toward high-potential opportunities. The result? ✔️ Smarter diversification ✔️ Reduced emotional trading ✔️ Data-driven portfolio balance ✔️ Consistent performance focus In a volatile market, balance isn’t about playing safe ; it’s about staying optimized. No guesswork. Just intelligent momentum. @RAFA_AI @Metamorfozzz_
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Sakib49💥@shahriyasakib29

Afternoon Rafa.. RAFA’s Momentum Model isn’t just another stock screener ; it’s a smart edge for modern investors. Powered by AI, it blends multi-factor analysis across fundamentals, market sentiment, and both short & mid term price trends to uncover assets with real momentum potential. No guesswork. No noise. Just data-driven insights. Whether it’s stocks or crypto, @RAFA_AI helps you spot high-conviction opportunities early building a portfolio designed not just to follow the market, but outperform it. Momentum isn’t luck. It’s engineered. @RAFA_AI @Metamorfozzz_

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Ser EJ
Ser EJ@TheAvatarHQ·
I think a lot of people are misunderstanding ActionFi. They’re chasing points. But @ActionModelAI isn’t really a points system. It’s a 𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺. And once you see that, the tier model starts making sense. 🧵
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SHAFIN MUM
SHAFIN MUM@shafinbinnur1·
Smarter networks don’t just move data faster they move it better. This visual breaks down how Optimum improves data delivery by replacing traditional duplication with coded fragments. @get_optimum
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Mohammed Asif
Mohammed Asif@stupidoasif·
Injective mainnet upgrade voted through. It's live - April 28. This upgrade improves execution efficiency and on-chain module optimization on a network already operating over 25,000 TPS with sub-second block finality. The buyback mechanism isn't just for show. 6.78M $INJ burned pre monetization buyback program. Four community-based auctions since November 2025. 178,338 $INJ burned. None of the auctions were below 20% participant yield. Next, IIP-617 passed. The Supply Squeeze doubles the deflation rate permanently by combining reduced issuance with the monthly burning of tokens. Layer up with the derivatives platform. Regulated $INJ futures launched on Bitnomial April 15. The six month track record meter is ticking in anticipation of a possible spot ETF application. Whales are buying like crazy in early April. They don't build positions for no reason. Today's upgrade adds another layer to the burn loop. Look out October 15. @Bitnomial reaches its six month track record. @injective
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krishna
krishna@Krishna16021·
This past weekend at the BETA Hackathon 2026, one thing stood out clearly..... People don’t fully understand physical AI… until they interact with a real robot. @PrismaXai wasn’t just there as a sponsor. • @castorhat opened with the keynote • The team stayed active on the floor • Builders got hands-on with real robots And that’s where things clicked. Because once you move beyond code… you start facing real challenges,Delays, Mistakes, Unpredictable behavior. The teleoperation challenge made that obvious. Stacking blocks sounds simple… until it’s not. Even breaking the 11-block record turned out harder than expected. But that’s the point. Physical AI improves through real interaction, not perfect conditions. This is exactly what PrismaX is focused on :- • High-quality teleoperation • Real-world data collection • Systems that improve from actual usage One of the winning teams built a robot to assist seniors in daily tasks. That’s the direction this space is heading from experiments → real impact. Events like this show something important :- AI is no longer just about models. It’s about systems that work in the real world. And PrismaX is building right at that layer.
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ekko
ekko@theboysaviour0x·
Most platforms don’t care how good your post is. They care how many you drop and how big your account already is. I tested that on @RallyOnChain. No art. Just written posts. 20+ campaigns. 1990 RLP earned. The system reads what you write and pays for it. But there was a real question from the community. What stops people from spamming low effort posts to farm rewards? Rally answered it with Max Winners Per Period. A hard cap that ensures rewards go to the strongest posts, not the most frequent ones. That’s not a routine update. That’s a platform choosing to protect real creators.
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𝐍𝐢𝐜𝐤𝐡𝐢𝐥
Last weekend PrismaX showed up at the Beta_ucb 2026 Hackathon as a sponsor and a judge. Over 200 hackers and builders joined the hackathon for an intense 8 hour sprint. The event featured • $60K+ prize pool • 8 finalist teams • tracks across AI, robotics, agents, voice, vision, and crypto The energy was high and the focus was on building real systems, not just ideas. ─────────────── PrismaX participated as both sponsor and judge. @castorhat opened the event with a keynote on why premium teleoperation data matters. The message was simple. Better robots come from better data, not just bigger models. Teleoperation was highlighted as the most reliable way to collect real world, high quality training data. One of the highlights was the live block stacking challenge. Participants controlled real robot arms and tried to stack blocks with precision. • Current record remains 11 blocks • One attempt reached 12 but collapsed Even failures were treated as useful data points. Every interaction helps improve future models. ─────────────── The booth stayed active throughout the event. Builders interacted directly with robots, tested teleoperation, and explored how real world data is collected. This hands on experience made the concept of physical AI much clearer. The robotics track was won by a team building an assistive robot for seniors. Their focus was on practical daily help like medicine delivery. This aligned closely with the idea of robots doing meaningful real world work while generating useful training data. ─────────────── The hackathon showed something important. Physical AI is moving beyond theory. Developers are starting to focus on real world interaction, data quality, and scalable systems. With a growing global community and more builders entering the space, the need for high quality teleoperation data is becoming more obvious. Better data leads to better robots. On to the next. All the useful links for PrismaX- X Handle - @PrismaXai Discord - discord.gg/prismaxai Linktree- t.co/ipHnnMfn5Q @vivianrobotics
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