19× Reseach Content Winner | Content Contributor at @AnalyticSages

Web3 📍
Joined November 2023
Q4 will change my life for the better amen 💙
Q4 will change my life for the better amen❤️
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Zayd♟️ retweeted
Weekly Research Brief #4 is LIVE! This week, we’re looking at two big stories in blockchain: 🔹 Starknet may leave Ethereum to build its own blockchain by 2027. 🔹 PancakeSwap proposes giving more swap fees to liquidity providers while cutting CAKE token emissions. 📖 Want to know more? Read the full brief 👇 🔗 analyticsages.io/insights/st… 💬 Read, share, and tell us what you think!
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Gm Everyone ☀️ Want to build real-world Web3 research skills? Join Cohort 9 of our SQL & Excel for Blockchain Data Analytics and Research Bootcamp at Analytic Sages! 🚀 In just 6 weeks, learn SQL, Excel and AI-assisted research while extracting, analysing and interpreting blockchain and market data from: 🔹 @coingecko 🔹 @artemis 🔹 @Dune 🔹 @DefiLlama Explore DeFi, Real-World Assets (RWAs) and perpetual futures through hands-on projects, live sessions and weekly office hours. 📅 Classes start: November 9, 2026 ⏳ Registration closes: November 7, 2026 🎓 Duration: 6 weeks | 12 live sessions + weekly office hours 🌍 Format: Fully remote 💳 Flexible tuition options available for those who need payment flexibility. Build practical skills. Analyse real datasets. Develop portfolio-ready research projects. Register now 👇 analyticsages.io/programs/co… #BlockchainAnalytics #Web3Research #SQL #DataAnalytics #AnalyticSages
🤖 Made with AI
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Zayd♟️ retweeted
Whichever AI camp you back, they each run on the same trillion-dollar stack. On Mantle, trade all of it 24/7 on @Fluxion_network via AMM & Atomic RFQ, tokenized by @xStocksFi. Best part? They stay productive while you hold them. End-to-end coverage, open to anyone, anywhere.
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Zayd♟️ retweeted
A new, faster engine is coming to Mantle Mainnet as global capital markets accelerate onchain. On Oct. 28, 7AM UTC, our Sequencer moves from Geth to Reth, after a clean run on Sepolia. Same chain, lighter footprint, and tighter ZK alignment. What to expect ↓
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Everyone wants to learn AI, but how many people are paying attention to the data behind it? AI systems learn patterns from data. When that data is inaccurate, incomplete, or poorly prepared, the results can be unreliable. That's why data matters. Data Analytics helps us understand patterns and extract insights. Data Engineering helps build systems that collect, process, and organize data. Artificial Intelligence uses data to learn patterns and perform tasks. These fields work together to power many of the intelligent systems we use today. Understanding AI is important, but understanding the data behind it is just as valuable. At Analytic Sages, we're passionate about helping people develop practical skills for the evolving tech industry. Let's hear from you: Which area interests you most? A. Artificial Intelligence B. Data Analytics C. Data Engineering Tell us in the comments! #ArtificialIntelligence #DataAnalytics #DataEngineering #MachineLearning #TechCareers #LearnAI #AnalyticSages
🤖 Made with AI
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analyticsages.io/insights/st… Weekly Research Brief is Out! @Starknet plans to leave ethereum ahead of quantum risk @PancakeSwap proposes giving LPs 88% of trading fees while cutting CAKE emissions by 69%. Do well to read and subscribe!!
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When people hear blockchain data, they often think about crypto prices, Bitcoin, or Ethereum. But there's more happening behind the scenes. Every blockchain transaction creates data, including: → Sender and receiver addresses → Amount transferred → Transaction hash → Transaction fee → Block number This data can be collected, processed, stored, and analyzed to uncover useful insights. Blockchain data engineers build pipelines to manage this data, while data analysts use it to identify patterns and understand on-chain activity. That's how raw blockchain data becomes useful information. At Analytic Sages, we focus on helping people develop practical tech skills. Let's hear from you: Which would you learn first: Python, SQL, or blockchain fundamentals? Tell us in the comments! #BlockchainData #DataEngineering #DataAnalytics #Web3 #AnalyticSages
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Zayd♟️ retweeted
This is my demo video for the @PayBox hackathon. I built HedgeBox, the first PayBox plugin that turns prediction markets into insurance for the things you actually worry about In the video, I told my agent I'll lose $100 if Bitcoin drops below $55k this month. HedgeBox finds a @world_xyz market that pays if it happens, quotes the rules, and tells me exactly what isn't covered. My paybox agent pays 1¢ in USDC over x402 to get the full hedging plan, and nothing is bought until I approve. Hedgebox also works as a telegram bot Ps: I will drop a brief article for better explanation
the first PayBox Hackathon is live! build a plugin for our marketplace and compete for $20,000 USDC in prizes start here: developer.paybox.sh
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Zayd♟️ retweeted
It was OGBAFIA!! @DJ_TUNEZ
Can you guess the person i’m stringing?👀
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📚 A quick look into our Blockchain Data Engineering class! From exploring Docker to getting hands-on with the tools and commands that power modern development, our learning journey continues. At Analytic Sages, we believe the best way to grow in tech is to go beyond theory and learn by doing. Every session brings us one step closer to building practical skills for the future of data and blockchain. Want to be part of the next learning experience? 👀 🔔 Join the next cohort waitlist today: analyticsages.io/programs/bl… Take your first step towards building your Blockchain Data Engineering skills. #AnalyticSages #BlockchainDataEngineering #Docker #DataEngineering #BlockchainTechnology #TechEducation #Web3
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One thing I find interesting about blockchain infrastructure is the move toward specialization. A general-purpose blockchain has to accommodate many different types of applications. But what happens when an ecosystem has a more specific purpose? That's where AppChains become interesting. Instead of treating every application as just another smart contract on a shared network An AppChain provides a dedicated blockchain environment tailored to a particular ecosystem. For prediction markets, that opens up questions around transaction processing, network economics, settlement, and how infrastructure evolves alongside the applications using it. Predictor (@PRDCTR_IO) takes this infrastructure-focused approach with its dedicated Aventus AppChain. Of course, having a specialized chain doesn't automatically make a project better. Security, decentralization, adoption, and actual network activity still matter. But I think specialization is an important part of the conversation about how Web3 infrastructure develops. The real test is whether the architecture delivers meaningful advantages for its intended use case.
If I'm evaluating prediction-market infrastructure, I'm looking beyond the token chart. I want answers to three questions. 1. Can outcomes be verified? The system needs clear rules, credible evidence, and a way to handle disputes. 2. Are the incentives sustainable? Validators and other network participants need incentives that make sense beyond short-term token emissions. 3. Is anyone actually using the infrastructure? A technically interesting network still needs applications, users, and meaningful activity. These tests are more useful to me than another promise about how large a sector could become. They're also the questions I'd apply to @PRDCTR_IO as it develops its infrastructure for prediction markets. Narratives attract attention. Evidence is what earns conviction. What would you add to this checklist?
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Zayd♟️ retweeted
The Mantle Squad kicked off the quarter on home ground with a banger of a week at @token2049 SG. Tokenization szn hit top form between panels, interviews, and non-stop alpha across Mantle RWA Day and the conference floor. The squad took serious notes on what’s next 👇
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Zayd♟️ retweeted
Imagine Claude editing my video while I’m playing FIFA. Tested out the new @invideoOfficial MCP. InVideo is offering up to 50% OFF all annual plans for a limited time! Check it out 👇
🤝 Paid partnership
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What happens in the first class of the Analytic Sages program? Our first orientation class was all about getting everyone settled in, meeting fellow learners, understanding what to expect, and starting the journey together. From introductions to hearing why everyone decided to join, the energy in the room was a reminder that learning is better when you’re surrounded by people who are also ready to grow. Missed this cohort? You can still be part of the next one. 📌 Join the next cohort waitlist and be the first to know when registration opens. 🔗 Join the waitlist: analyticsages.io/programs/bl… Your journey could start with the next cohort.
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Think you need to be a blockchain expert before you can work with blockchain data? You don't. One of the biggest misconceptions about blockchain data careers is that you need to know everything about crypto, DeFi, smart contracts, and protocols before you can start. That's not how it works. If you already have experience with: → Python → SQL → Data engineering → Databases → APIs → Data analytics you already have skills that can transfer into blockchain data. The blockchain simply becomes another data environment to work with. You can start by learning how to: 1. Extract on-chain data 2. Store it efficiently 3. Transform raw blockchain data 4. Build reliable pipelines 5. Analyze the data to find useful insights You don't need to know everything before you start. Start with the skills you already have. Then learn the blockchain-specific part. Would you consider adding blockchain data to your data career? #BlockchainData #DataEngineering #DataAnalytics #Python #SQL #Web3 #Blockchain #DataCareers
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📊 PreStocks vs Paimon Finance: The Race for Onchain Pre-IPO Markets Our latest research compares how PreStocks (Solana) and Paimon Finance (BNB Chain) are bringing private-company exposure onchain. 🔹 PreStocks: $21.67M in tokenized value and 113K+ holder positions. 🔹 Paimon Finance: $9.97M in tokenized pre-IPO assets, alongside private-credit yield products. 💡 Key Insight: Both platforms are growing, but thin liquidity, valuation premiums, and transparency remain major challenges. 📖 Read the full analysis to explore the data and discover what's next for onchain private markets here analyticsages.io/insights/pr… 💬 Which platform has the stronger long-term potential? #AnalyticSages #DeFi #RWA #Blockchain
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Is AI making data engineers less important, or more valuable? AI can now generate SQL queries, write Python code, and automate parts of a data workflow. But here's the thing: generating code isn't the same as understanding whether that code is correct. Data engineers still need to understand data quality, pipeline design, performance, and how to validate AI-generated outputs. AI might make some tasks faster, but the ability to understand, verify, and build reliable data systems remains important. So, the real question is: Will AI replace data engineers, or will it raise the bar for what makes a great data engineer? Let's discuss. 💬 What's your take? Share your thoughts in the comments. #DataEngineering #ArtificialIntelligence #AI #DataAnalytics #TechCareers
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Zayd♟️ retweeted
alright this one caught my attention so basic @UmbraPrivacy gives users a private onchain balance where they can hold & transfer funds, without exposing • who paid whom • how much was sent, or • which asset was actually used. while @solomon_labs brings the productive dollar infrastructure through usdv, allowing those private dollars to generate rewards while remaining liquid. with uusdv, users receive 75% of the underlying rewards, which currently works out to around 2.625% apy. the rate is variable and not guaranteed, but the bigger idea here is what matters: privacy should not mean your capital has to sit idle. to me this collaboration is a huge step toward making private money more useful without giving up user control.
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You can build a beautiful dashboard and still make the wrong decision. How? Because the dashboard might be working with inaccurate, incomplete, or inconsistent data. Imagine a sales report that counts the same transaction twice. The chart may look professional. The numbers may look convincing. But the conclusion will be wrong. This is why data quality matters. Before data reaches the dashboard, teams need to think about validation, duplicates, missing values, consistency, and the rules used to transform the data. Good visualisation helps people understand information. Good data engineering helps ensure that information is worth understanding. Question: What would you prioritise first: improving a dashboard's design or checking the quality of the data behind it? Why?
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