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Blockchain can enhance your existing Python projects. Here’s why blockchain is important: #python #blockchain #AlgoKit #Algorand #smartcontracts #defi #cryptocurrency #programming #developer #programmer #softwaredeveloper #coding #coder #computerscience #dapp #nft #Algos #perawallet #pera #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #project

Python Developer

183,410 subscribers

11,981 views • 2 years ago •via X (Twitter)

Science & Technology Finance #python #blockchain #AlgoKit #Algorand #smartcontracts #defi #cryptocurrency #programming #developer #programmer #softwaredeveloper #coding #coder #computerscience #dapp #nft #Algos

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6 Comments

Rashid kukkady2 years ago

Something that may be GitHub can promote?

Crypto Reporter . Cryptocurrency . NFTs . DeFi2 years ago

👏

Bunny 🐰2 years ago

I even heard of a blockchain, @QANplatform that allows coding in any programming language. And it testnet is launched already.

shanto joseph2 years ago

When your Python project meets blockchain: it's like adding sprinkles to an ice cream cone 🍦🔗

Michael Hansen2 years ago

Python + Blockchain = Codevolution 🚀🔗💻

topGcrypto2 years ago

This tweet rightly highlights the potential of blockchain technology for Python developers.@Python_Dv

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Deekruz🦋|🅰️|₿|

25,993 views • 11 months ago

⛅️𝐏𝐑𝐄𝐒𝐄𝐍𝐓𝐈𝐍𝐆 𝐓𝐇𝐄 Weather Challenge🌨️ 🌀𝑮𝒖𝒆𝒔𝒔 𝒕𝒉𝒆 𝒘𝒆𝒂𝒕𝒉𝒆𝒓 & 𝑾𝑰𝑵✨ ☔️𝐀𝐁𝐎𝐔𝐓 𝐓𝐇𝐄 𝐖𝐄𝐀𝐓𝐇𝐄𝐑 𝐂𝐇𝐀𝐋𝐋𝐄𝐍𝐆𝐄 Introducing the first blockchain game powered by the $RMV token from Reality Metaverse. This groundbreaking game leverages blockchain technology, using $RMV tokens to enhance gameplay and facilitate transactions like never before. 🗼𝐑𝐄𝐀𝐋𝐈𝐓𝐘 𝐌𝐄𝐓𝐀𝐕𝐄𝐑𝐒𝐄 𝐆𝐀𝐌𝐄 Reality Metaverse is changing the game by connecting the real world with the Metaverse. Now, you can unlock digital assets in popular mobile games like Landlord GO, which has over 7 million players and 30 million downloads worldwide. For the first time, NFT owners can make money from their assets in traditional games. The company is creating an immersive metaverse world based on real-life locations and has introduced a new profit-sharing model. This model allows NFT owners to earn sustainable royalties from Landlord GO and future games. 🪙𝐑𝐌𝐕 𝐓𝐎𝐊𝐄𝐍 & 𝐔𝐓𝐈𝐋𝐈𝐓𝐘 The RMV Token is the key element of the ecosystem, bringing together games, 3D models, NFT royalties, governance & the DAO into a unified experience for users. 🔶Here’s what makes the RMV Token essential: 🔸ERC-20 Token: RMV is built on the reliable ERC-20 standard, forming the backbone of the Reality Metaverse ecosystem. 🔸Deflationary Mechanisms: RMV includes features that reduce the total supply over time, increasing its value. 🔸Transactions: Use RMV for all transactions within the Reality Metaverse. 🔸Governance: RMV holders can participate in governance actions, helping shape the future of the ecosystem. 🔸Total Supply: 1,000,000,000 RMV 🏦𝐒𝐓𝐀𝐊𝐈𝐍𝐆 𝐁𝐄𝐍𝐄𝐅𝐈𝐓𝐒 🔸Get Early Access to New Content 🔸Receive Free Token Airdrops 🔸Enjoy VIP Status and Perks 🔸Own Limited Edition NFTs 🔸Gain Access to Developer Insights 🔸Compete in Exclusive Tournaments and Leaderboards 🔸Benefit from Exclusive Community Perks 🔸Unlock Features Only Available for Stakeholders 💠𝐌𝐈𝐍𝐓 𝐃𝐄𝐓𝐀𝐈𝐋𝐒 🔹𝐒𝐔𝐏𝐏𝐋𝐘: 777 🔹𝐏𝐑𝐈𝐂𝐄: FREE 🔹𝐃𝐀𝐓𝐄: TBA 🖲️𝐓𝐄𝐀𝐌 & 𝐋𝐈𝐍𝐊𝐒 🔷John Z. Woznowski - CEO & Co-Founder 🔷Maciej Burno - Head of Project, CBDO & Co-Founder 🔷Michal Lagodzic - COO & Co-Founder 🔷Miroslaw Skowronski - CTO & Founder 🔷Peter Janiuk - Tech Partner 🔶Web : 🔶X (Twitter) : 🔶Discord:

⛅️𝐏𝐑𝐄𝐒𝐄𝐍𝐓𝐈𝐍𝐆 𝐓𝐇𝐄 Weather Challenge🌨️ 🌀𝑮𝒖𝒆𝒔𝒔 𝒕𝒉𝒆 𝒘𝒆𝒂𝒕𝒉𝒆𝒓 & 𝑾𝑰𝑵✨ ☔️𝐀𝐁𝐎𝐔𝐓 𝐓𝐇𝐄 𝐖𝐄𝐀𝐓𝐇𝐄𝐑 𝐂𝐇𝐀𝐋𝐋𝐄𝐍𝐆𝐄 Introducing the first blockchain game powered by the $RMV token from Reality Metaverse. This groundbreaking game leverages blockchain technology, using $RMV tokens to enhance gameplay and facilitate transactions like never before. 🗼𝐑𝐄𝐀𝐋𝐈𝐓𝐘 𝐌𝐄𝐓𝐀𝐕𝐄𝐑𝐒𝐄 𝐆𝐀𝐌𝐄 Reality Metaverse is changing the game by connecting the real world with the Metaverse. Now, you can unlock digital assets in popular mobile games like Landlord GO, which has over 7 million players and 30 million downloads worldwide. For the first time, NFT owners can make money from their assets in traditional games. The company is creating an immersive metaverse world based on real-life locations and has introduced a new profit-sharing model. This model allows NFT owners to earn sustainable royalties from Landlord GO and future games. 🪙𝐑𝐌𝐕 𝐓𝐎𝐊𝐄𝐍 & 𝐔𝐓𝐈𝐋𝐈𝐓𝐘 The RMV Token is the key element of the ecosystem, bringing together games, 3D models, NFT royalties, governance & the DAO into a unified experience for users. 🔶Here’s what makes the RMV Token essential: 🔸ERC-20 Token: RMV is built on the reliable ERC-20 standard, forming the backbone of the Reality Metaverse ecosystem. 🔸Deflationary Mechanisms: RMV includes features that reduce the total supply over time, increasing its value. 🔸Transactions: Use RMV for all transactions within the Reality Metaverse. 🔸Governance: RMV holders can participate in governance actions, helping shape the future of the ecosystem. 🔸Total Supply: 1,000,000,000 RMV 🏦𝐒𝐓𝐀𝐊𝐈𝐍𝐆 𝐁𝐄𝐍𝐄𝐅𝐈𝐓𝐒 🔸Get Early Access to New Content 🔸Receive Free Token Airdrops 🔸Enjoy VIP Status and Perks 🔸Own Limited Edition NFTs 🔸Gain Access to Developer Insights 🔸Compete in Exclusive Tournaments and Leaderboards 🔸Benefit from Exclusive Community Perks 🔸Unlock Features Only Available for Stakeholders 💠𝐌𝐈𝐍𝐓 𝐃𝐄𝐓𝐀𝐈𝐋𝐒 🔹𝐒𝐔𝐏𝐏𝐋𝐘: 777 🔹𝐏𝐑𝐈𝐂𝐄: FREE 🔹𝐃𝐀𝐓𝐄: TBA 🖲️𝐓𝐄𝐀𝐌 & 𝐋𝐈𝐍𝐊𝐒 🔷John Z. Woznowski - CEO & Co-Founder 🔷Maciej Burno - Head of Project, CBDO & Co-Founder 🔷Michal Lagodzic - COO & Co-Founder 🔷Miroslaw Skowronski - CTO & Founder 🔷Peter Janiuk - Tech Partner 🔶Web : 🔶X (Twitter) : 🔶Discord:

🌸𝐒𝐄𝐍𝐏𝐀𝐈 先輩🍜

14,020 views • 2 years ago

Hive Intelligence Launches Specialized Crypto Agents Hive Intelligence has released a suite of 17 specialized crypto agents that extend Claude Code's capabilities for professional crypto development and analysis. Extending Claude Code for Crypto Work Claude Code, Anthropic's command-line coding tool, now has access to specialized crypto intelligence through Hive's agent framework. These 17 agents work alongside SuperClaude's 14 base development agents, bringing the total available agent count to 31. The key difference: instead of generic AI responses to crypto queries, developers now have access to specialized agents trained for specific blockchain domains, from smart contract auditing to MEV research to DeFi strategy optimization. How the Agents Work After installation, the agents operate automatically based on query context. When you ask Claude Code to perform crypto-related tasks, the appropriate specialist agent is invoked: - "Audit this smart contract" → Crypto Security Researcher - "Find yield farming opportunities on Ethereum" → Crypto DeFi Strategist - "Analyze this wallet's transaction history" → Crypto Wallet Detective - "Identify arbitrage opportunities across DEXs" → Crypto DEX Arbitrageur No manual agent selection required. The system recognizes the task and routes it to the appropriate specialist. The 17 Specialized Agents Market & Trading Intelligence (4 agents) Crypto Quant: Mathematical models, algorithmic trading strategies, statistical arbitrage, and quantitative risk modeling. Crypto Market Researcher: Fundamental analysis, market trends, institutional adoption tracking, and regulatory landscape monitoring. Crypto Derivatives Trader: Futures and perpetuals analysis, options strategies, leverage management, and derivatives market intelligence. Crypto DEX Arbitrageur: Cross-exchange arbitrage identification, MEV strategy development, and automated profit extraction techniques. DeFi & Liquidity (4 agents) Crypto DeFi Strategist: Yield farming optimization, protocol analysis, liquidity provision strategies, and DeFi portfolio management. Crypto Liquidity Manager: Pool optimization, impermanent loss calculation and mitigation, market making strategies, and capital efficiency analysis. Crypto Governance Analyst: DAO structure evaluation, governance token analysis, proposal assessment, and voting mechanism research. Crypto Bridge Analyst: Cross-chain bridge security assessment, protocol comparison, interoperability solutions, and bridge risk evaluation. Security & Risk (3 agents) Crypto Security Researcher: Smart contract auditing, vulnerability detection, honeypot identification, and exploit pattern recognition. Crypto Security Engineer: Secure contract development practices, defensive programming patterns, and security implementation guidance. Crypto Risk Manager: Portfolio risk assessment, compliance monitoring, exposure analysis, and risk mitigation strategy development. On-Chain Analysis (3 agents) Crypto Wallet Detective: Blockchain forensics, wallet behavior analysis, transaction tracing, and entity identification across chains. Crypto On-chain Analyst: Transaction pattern analysis, wallet clustering, flow tracking, and on-chain metrics interpretation. Crypto MEV Researcher: MEV opportunity detection, flashloan arbitrage analysis, sandwich attack identification, and MEV protection strategies. Specialized Intelligence (3 agents) Crypto NFT Specialist: Collection valuation, rarity analysis, marketplace trends, and NFT ecosystem intelligence. Crypto Stablecoin Analyst: Peg stability monitoring, collateral analysis, depegging risk assessment, and stablecoin mechanism evaluation. Crypto Social Sentiment: Social media sentiment tracking, influencer monitoring, trending topic identification, and community analysis. Data Coverage: - 60+ blockchain networks - 2,000+ DeFi protocols - Real-time DEX data - CEX trading metrics - Social sentiment feeds - NFT marketplace data Compatibility: Works seamlessly with SuperClaude's existing agent framework. No configuration conflicts or manual routing needed. Practical Applications Smart Contract Development Security agents can audit contracts during development, identifying reentrancy risks, access control issues, and common vulnerabilities before deployment. DeFi Research Strategy agents query real-time pool data across networks, calculate yield-adjusted returns, and assess risks like impermanent loss or smart contract exposure. Trading Analysis Market agents access derivatives data, funding rates, liquidation levels, and order book depth across exchanges for informed trading decisions. Forensic Investigation On-chain agents trace fund flows, identify connected addresses, and analyze transaction patterns for security research or compliance work. Portfolio Management Risk agents evaluate protocol exposure, assess tail risks, and monitor positions across multiple chains and protocols. Why Specialized Agents Matter Generic AI models lack the domain-specific knowledge required for professional crypto work. A general-purpose AI might provide surface-level analysis of a smart contract, but a specialized security agent understands Solidity patterns, common exploits, and auditing methodologies. The agent framework solves this by routing tasks to specialists with deep domain knowledge: - A derivatives question goes to an agent trained on perpetuals, funding rates, and options greeks - A DeFi query reaches an agent that understands liquidity mathematics and protocol mechanics - A security audit is handled by an agent familiar with vulnerability patterns and exploit techniques This specialization produces more accurate, actionable insights than single-model approaches. Getting Started The agents are available now through npm. Requirements: - Node.js 16+ - Claude Code installed - No additional dependencies After installation, simply use Claude Code normally. When you ask crypto-related questions or request blockchain analysis, the appropriate agent is automatically invoked. The system handles routing, data retrieval, and response generation. Documentation covers individual agent capabilities, example queries, and integration patterns for different workflows. What This Enables With 17 specialized crypto agents, Claude Code becomes a comprehensive blockchain development and analysis environment: - Developers can audit contracts, optimize gas usage, and implement security patterns - Researchers can analyze protocols, compare yields, and assess risks - Traders can evaluate markets, identify opportunities, and manage positions - Security professionals can investigate exploits, trace funds, and assess vulnerabilities The agents provide access to blockchain data and specialized analysis that previously required multiple tools, APIs, and manual research. ghive.

Hive Intelligence Launches Specialized Crypto Agents Hive Intelligence has released a suite of 17 specialized crypto agents that extend Claude Code's capabilities for professional crypto development and analysis. Extending Claude Code for Crypto Work Claude Code, Anthropic's command-line coding tool, now has access to specialized crypto intelligence through Hive's agent framework. These 17 agents work alongside SuperClaude's 14 base development agents, bringing the total available agent count to 31. The key difference: instead of generic AI responses to crypto queries, developers now have access to specialized agents trained for specific blockchain domains, from smart contract auditing to MEV research to DeFi strategy optimization. How the Agents Work After installation, the agents operate automatically based on query context. When you ask Claude Code to perform crypto-related tasks, the appropriate specialist agent is invoked: - "Audit this smart contract" → Crypto Security Researcher - "Find yield farming opportunities on Ethereum" → Crypto DeFi Strategist - "Analyze this wallet's transaction history" → Crypto Wallet Detective - "Identify arbitrage opportunities across DEXs" → Crypto DEX Arbitrageur No manual agent selection required. The system recognizes the task and routes it to the appropriate specialist. The 17 Specialized Agents Market & Trading Intelligence (4 agents) Crypto Quant: Mathematical models, algorithmic trading strategies, statistical arbitrage, and quantitative risk modeling. Crypto Market Researcher: Fundamental analysis, market trends, institutional adoption tracking, and regulatory landscape monitoring. Crypto Derivatives Trader: Futures and perpetuals analysis, options strategies, leverage management, and derivatives market intelligence. Crypto DEX Arbitrageur: Cross-exchange arbitrage identification, MEV strategy development, and automated profit extraction techniques. DeFi & Liquidity (4 agents) Crypto DeFi Strategist: Yield farming optimization, protocol analysis, liquidity provision strategies, and DeFi portfolio management. Crypto Liquidity Manager: Pool optimization, impermanent loss calculation and mitigation, market making strategies, and capital efficiency analysis. Crypto Governance Analyst: DAO structure evaluation, governance token analysis, proposal assessment, and voting mechanism research. Crypto Bridge Analyst: Cross-chain bridge security assessment, protocol comparison, interoperability solutions, and bridge risk evaluation. Security & Risk (3 agents) Crypto Security Researcher: Smart contract auditing, vulnerability detection, honeypot identification, and exploit pattern recognition. Crypto Security Engineer: Secure contract development practices, defensive programming patterns, and security implementation guidance. Crypto Risk Manager: Portfolio risk assessment, compliance monitoring, exposure analysis, and risk mitigation strategy development. On-Chain Analysis (3 agents) Crypto Wallet Detective: Blockchain forensics, wallet behavior analysis, transaction tracing, and entity identification across chains. Crypto On-chain Analyst: Transaction pattern analysis, wallet clustering, flow tracking, and on-chain metrics interpretation. Crypto MEV Researcher: MEV opportunity detection, flashloan arbitrage analysis, sandwich attack identification, and MEV protection strategies. Specialized Intelligence (3 agents) Crypto NFT Specialist: Collection valuation, rarity analysis, marketplace trends, and NFT ecosystem intelligence. Crypto Stablecoin Analyst: Peg stability monitoring, collateral analysis, depegging risk assessment, and stablecoin mechanism evaluation. Crypto Social Sentiment: Social media sentiment tracking, influencer monitoring, trending topic identification, and community analysis. Data Coverage: - 60+ blockchain networks - 2,000+ DeFi protocols - Real-time DEX data - CEX trading metrics - Social sentiment feeds - NFT marketplace data Compatibility: Works seamlessly with SuperClaude's existing agent framework. No configuration conflicts or manual routing needed. Practical Applications Smart Contract Development Security agents can audit contracts during development, identifying reentrancy risks, access control issues, and common vulnerabilities before deployment. DeFi Research Strategy agents query real-time pool data across networks, calculate yield-adjusted returns, and assess risks like impermanent loss or smart contract exposure. Trading Analysis Market agents access derivatives data, funding rates, liquidation levels, and order book depth across exchanges for informed trading decisions. Forensic Investigation On-chain agents trace fund flows, identify connected addresses, and analyze transaction patterns for security research or compliance work. Portfolio Management Risk agents evaluate protocol exposure, assess tail risks, and monitor positions across multiple chains and protocols. Why Specialized Agents Matter Generic AI models lack the domain-specific knowledge required for professional crypto work. A general-purpose AI might provide surface-level analysis of a smart contract, but a specialized security agent understands Solidity patterns, common exploits, and auditing methodologies. The agent framework solves this by routing tasks to specialists with deep domain knowledge: - A derivatives question goes to an agent trained on perpetuals, funding rates, and options greeks - A DeFi query reaches an agent that understands liquidity mathematics and protocol mechanics - A security audit is handled by an agent familiar with vulnerability patterns and exploit techniques This specialization produces more accurate, actionable insights than single-model approaches. Getting Started The agents are available now through npm. Requirements: - Node.js 16+ - Claude Code installed - No additional dependencies After installation, simply use Claude Code normally. When you ask crypto-related questions or request blockchain analysis, the appropriate agent is automatically invoked. The system handles routing, data retrieval, and response generation. Documentation covers individual agent capabilities, example queries, and integration patterns for different workflows. What This Enables With 17 specialized crypto agents, Claude Code becomes a comprehensive blockchain development and analysis environment: - Developers can audit contracts, optimize gas usage, and implement security patterns - Researchers can analyze protocols, compare yields, and assess risks - Traders can evaluate markets, identify opportunities, and manage positions - Security professionals can investigate exploits, trace funds, and assess vulnerabilities The agents provide access to blockchain data and specialized analysis that previously required multiple tools, APIs, and manual research. ghive.

Hive Intelligence

78,743 views • 8 months ago

Are ecosystems really “healthy”? 🤔 That’s a question I kept asking myself while working in Web3 analytics. Because in chains like Ronin, billions flow daily across games, DeFi, and NFTs. They’re the lifeblood of an ecosystem. But here’s the truth: 👉 Surface-level numbers (like TVL or daily users) don’t always tell the full story. I’ve seen projects look “alive” on the outside — while under the hood, their ecosystem was bleeding liquidity, losing whales, or failing to retain users. So instead of just tracking pieces separately, I decided to build something that shows the whole picture. ======================== 🎮 Ronin Ecosystem Tracker App ======================== A full-stack blockchain analytics platform I built to monitor the health of the Ronin ecosystem across gaming, DeFi, and NFTs. 1️⃣ What it does • Real-time monitoring of Ronin network health (gas efficiency, wallet growth, whale flows) • Breakdowns of DeFi liquidity, NFT markets, and gaming activity in one place • Whale & holder segmentation (shrimps → whales) with retention + activation analysis • Interactive dashboards for ecosystem-wide insights 2️⃣ How I built it • Backend: FastAPI (13 REST endpoints, async, caching with Joblib) deployed on Railway → cuts API costs by 95% while serving unlimited users • Frontend: Next.js (v0 app) with dark/light themes, SWR-powered real-time fetching, and Recharts visualizations • Analytics: Streamlit + Plotly for in-depth whale tracking, liquidity flows, and retention heatmaps • Data Sources: Integrated 13 pipelines (Dune | We Are Hiring!, CoinGecko Pro) pulling 30K+ transactions daily • DevOps: Multi-platform deployment across Vercel, Railway, and Streamlit Cloud 3️⃣ Why this matters Ronin isn’t just a gaming chain anymore — it’s an evolving economy. And economies can only grow if we understand their strengths and weak points. This tool is useful for: 📍 Ecosystem teams → to see where growth is really coming from 📍 Investors → to understand holder behavior and whale tracking 📍 Builders → to track liquidity flows across games, NFTs, and DeFi 📍 Analysts → to dig deeper than surface-level metrics 🔗 Explore the apps here: • Web App: • FastAPI root: • GitHub Repo: ----------------------------------------- For me, this wasn’t just “another dashboard / web app.” It was about proving I could take blockchain data from raw → transformed → packaged → deployed as full products that anyone can interact with. That’s the power of being both a data analyst and a full-stack builder. 💯 Because in Web3, the future of analytics isn’t static charts — 👉 It’s building living, breathing products that help entire ecosystems make smarter decisions. -- This work was inspired by Analytic Sages ApostleOfFinance ⚛ Brandyn Jihoz.ron __ So here’s my question to you 👇 👉 What’s the most important signal of a healthy blockchain ecosystem to you and what did you notice about Ronin on this app? -- Gm Gm😉

Are ecosystems really “healthy”? 🤔 That’s a question I kept asking myself while working in Web3 analytics. Because in chains like Ronin, billions flow daily across games, DeFi, and NFTs. They’re the lifeblood of an ecosystem. But here’s the truth: 👉 Surface-level numbers (like TVL or daily users) don’t always tell the full story. I’ve seen projects look “alive” on the outside — while under the hood, their ecosystem was bleeding liquidity, losing whales, or failing to retain users. So instead of just tracking pieces separately, I decided to build something that shows the whole picture. ======================== 🎮 Ronin Ecosystem Tracker App ======================== A full-stack blockchain analytics platform I built to monitor the health of the Ronin ecosystem across gaming, DeFi, and NFTs. 1️⃣ What it does • Real-time monitoring of Ronin network health (gas efficiency, wallet growth, whale flows) • Breakdowns of DeFi liquidity, NFT markets, and gaming activity in one place • Whale & holder segmentation (shrimps → whales) with retention + activation analysis • Interactive dashboards for ecosystem-wide insights 2️⃣ How I built it • Backend: FastAPI (13 REST endpoints, async, caching with Joblib) deployed on Railway → cuts API costs by 95% while serving unlimited users • Frontend: Next.js (v0 app) with dark/light themes, SWR-powered real-time fetching, and Recharts visualizations • Analytics: Streamlit + Plotly for in-depth whale tracking, liquidity flows, and retention heatmaps • Data Sources: Integrated 13 pipelines (Dune | We Are Hiring!, CoinGecko Pro) pulling 30K+ transactions daily • DevOps: Multi-platform deployment across Vercel, Railway, and Streamlit Cloud 3️⃣ Why this matters Ronin isn’t just a gaming chain anymore — it’s an evolving economy. And economies can only grow if we understand their strengths and weak points. This tool is useful for: 📍 Ecosystem teams → to see where growth is really coming from 📍 Investors → to understand holder behavior and whale tracking 📍 Builders → to track liquidity flows across games, NFTs, and DeFi 📍 Analysts → to dig deeper than surface-level metrics 🔗 Explore the apps here: • Web App: • FastAPI root: • GitHub Repo: ----------------------------------------- For me, this wasn’t just “another dashboard / web app.” It was about proving I could take blockchain data from raw → transformed → packaged → deployed as full products that anyone can interact with. That’s the power of being both a data analyst and a full-stack builder. 💯 Because in Web3, the future of analytics isn’t static charts — 👉 It’s building living, breathing products that help entire ecosystems make smarter decisions. -- This work was inspired by Analytic Sages ApostleOfFinance ⚛ Brandyn Jihoz.ron __ So here’s my question to you 👇 👉 What’s the most important signal of a healthy blockchain ecosystem to you and what did you notice about Ronin on this app? -- Gm Gm😉

Jo$h

11,880 views • 9 months ago

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.

Himanshu Kumar

39,379 views • 3 months ago

United in the Light - Pi Network GCV Dear Global Pioneers, As we celebrate the significant success of GCV, let’s take a moment to reflect on the amazing contributions highlighted in a video created by the Global GCV CT Video Team Director Miss Diana Qian from Canada. The lyrics were crafted by the head of the Korea GCV Ambassador, Mr. Jin Taek Jun, and the composition was directed by Great PJ. Let’s also revisit the presentations of Dr. Nicolas Kokkalis and Dr. Chengdiao Fan at two conferences: Consensus 2025 in Toronto and Token2049 in Singapore. Dr. Nicolas discussed the implications of AI, while Dr. Fan focused on the future of cryptocurrency, particularly the transition from liquidity to utility. Key aspects of her presentation included: 1. Achieving Real Value: The necessity for cryptocurrencies to surpass mere transactions and liquidity to achieve a real increase in net value through practical applications. 2. Pathways to Innovation: Exploring two main approaches — migrating existing production onto the blockchain and creating new, on-chain productions, particularly in conjunction with advancements in Artificial Intelligence (AI). 3. Pi Network’s Approach: Discussing Pi Network's unique six-year development strategy leading up to the launch of its open network and its initiatives to build decentralized infrastructure that fosters open innovation and equitable participation in the future of blockchain and AI. 4. AI and Blockchain Integration: Highlighting proof-of-concept projects, such as Pi Node operators running AI models for third-party organizations like OpenMind, to establish a "shared intelligence layer." Recently, I’ve watched many videos discussing the significant layoffs of high-level employees as a result of AI replacing their jobs. Presently, programmers who are working hard are creating AI robots to replace themselves, leaving new university graduates who studied coding struggling to find jobs. So, what about Pi Network? Dr. Nicolas recognizes this trend and aims to collaborate with OpenMind to enhance AI technology. The demand for AI is high, and only Pi Network’s decentralized blockchain can truly support it. Can you see Pi Network's value? It has the potential to be a global currency with limitless possibilities. And it will lead the AI industry by our advanced Web 3.0 decentralized blockchain. Now, let’s discuss liquidity. Dr. Fan provided some clarity as above. Pi will indeed function as a currency for utility usage instead of traditional cryptocurrency for liquidity. Why we need to use traditional currency to buy out all Pi 100 billion and then claim that GCV is too high? This misconception arises from a lack of understanding of Pi Network. Many have not read the white paper. They assume that Pi is just another traditional cryptocurrency that only being listed on exchanges for selling and buying, but that is not the case. Pi on exchange market is for massive adoption so that it can be realized for utility as a currency. Only traditional crypto need to calculate liquidity. As I mentioned before, Pi is designed for centuries, or perhaps even thousands of years. Do you know that every year different countries print paper money? If you think back to a century ago, you could hardly imagine that a car would cost between $20,000 to $100,000, while in the past 100 years before, cars only cost hundreds of dollars. When governments lack enough FIAT, they resort to printing more money. That is why you can feel your money cannot buy same amount of goods every year. However, Pi is different—it has a supply designed for centuries. It won't be devaluated. This doesn’t mean all of its supply will flood the market in one day or one year or 10 years, the release can take longer time based on the Pi economy development. Moreover, if you send Pi from the US to China, it takes just one second and incurs minimal fees. Have you ever used SWIFT to transfer money from one country to another? It takes 5 to 7 days and often incurs around 10% in fees. Additionally, fiat currency depreciates quickly, while Pi is unlikely to devalue. There's no reason for everyone to sell all their Pi for fiat currency. It’s understandable for pioneers to sell 1 or 5 Pi initially, but as the ecosystem develops, this need diminishes. Pi is not just an asset to be listed for people to buy; it needs to circulate. Therefore, its value must remain stable. So we have GCV and some anti-GCV individuals should not use liquidity to deny GCV. Because GCV is for utility purpose.. Can you imagine how much wealth we will create in the future with AI and robots integrated into our daily lives? That’s why we must sustain GCV. Otherwise, it cannot support hundreds or thousands years demanding from all more than 200 countries. Pioneers, you are fortunate. While the world grapples with job losses, we see cuts affecting high-income engineers, programmers, bank employees, and accountants — and soon, this will reach labor jobs too. I’ve seen robots already in existence that can cook and do household chores. In China, many services are now performed by robots. So, value your Pi; it could be your safeguard in a time when AI is replacing many jobs. In closing, I want to congratulate everyone — GCV has triumphed! This is not merely my opinion; please take a look at the video. We have community support from over 100 countries and more than 20 million GCV data points created. Please do not doubt our progress. It also has been ins CT code. We do not need CT to give us a GCV or approve GCV. If they can, they would have done so over three years ago. They prefer GCV to be independent from CT. This is the established rule: the crypto creators should not define the value of cryptocurrency; that value can only come from the pioneers — the holders. --- 📷 United in the Light – GCV Confirmed, Pi’s Future Secured! Together, we prepare for the real Pi GCV economy. Doris Yin 🪷🪷🪷

United in the Light - Pi Network GCV Dear Global Pioneers, As we celebrate the significant success of GCV, let’s take a moment to reflect on the amazing contributions highlighted in a video created by the Global GCV CT Video Team Director Miss Diana Qian from Canada. The lyrics were crafted by the head of the Korea GCV Ambassador, Mr. Jin Taek Jun, and the composition was directed by Great PJ. Let’s also revisit the presentations of Dr. Nicolas Kokkalis and Dr. Chengdiao Fan at two conferences: Consensus 2025 in Toronto and Token2049 in Singapore. Dr. Nicolas discussed the implications of AI, while Dr. Fan focused on the future of cryptocurrency, particularly the transition from liquidity to utility. Key aspects of her presentation included: 1. Achieving Real Value: The necessity for cryptocurrencies to surpass mere transactions and liquidity to achieve a real increase in net value through practical applications. 2. Pathways to Innovation: Exploring two main approaches — migrating existing production onto the blockchain and creating new, on-chain productions, particularly in conjunction with advancements in Artificial Intelligence (AI). 3. Pi Network’s Approach: Discussing Pi Network's unique six-year development strategy leading up to the launch of its open network and its initiatives to build decentralized infrastructure that fosters open innovation and equitable participation in the future of blockchain and AI. 4. AI and Blockchain Integration: Highlighting proof-of-concept projects, such as Pi Node operators running AI models for third-party organizations like OpenMind, to establish a "shared intelligence layer." Recently, I’ve watched many videos discussing the significant layoffs of high-level employees as a result of AI replacing their jobs. Presently, programmers who are working hard are creating AI robots to replace themselves, leaving new university graduates who studied coding struggling to find jobs. So, what about Pi Network? Dr. Nicolas recognizes this trend and aims to collaborate with OpenMind to enhance AI technology. The demand for AI is high, and only Pi Network’s decentralized blockchain can truly support it. Can you see Pi Network's value? It has the potential to be a global currency with limitless possibilities. And it will lead the AI industry by our advanced Web 3.0 decentralized blockchain. Now, let’s discuss liquidity. Dr. Fan provided some clarity as above. Pi will indeed function as a currency for utility usage instead of traditional cryptocurrency for liquidity. Why we need to use traditional currency to buy out all Pi 100 billion and then claim that GCV is too high? This misconception arises from a lack of understanding of Pi Network. Many have not read the white paper. They assume that Pi is just another traditional cryptocurrency that only being listed on exchanges for selling and buying, but that is not the case. Pi on exchange market is for massive adoption so that it can be realized for utility as a currency. Only traditional crypto need to calculate liquidity. As I mentioned before, Pi is designed for centuries, or perhaps even thousands of years. Do you know that every year different countries print paper money? If you think back to a century ago, you could hardly imagine that a car would cost between $20,000 to $100,000, while in the past 100 years before, cars only cost hundreds of dollars. When governments lack enough FIAT, they resort to printing more money. That is why you can feel your money cannot buy same amount of goods every year. However, Pi is different—it has a supply designed for centuries. It won't be devaluated. This doesn’t mean all of its supply will flood the market in one day or one year or 10 years, the release can take longer time based on the Pi economy development. Moreover, if you send Pi from the US to China, it takes just one second and incurs minimal fees. Have you ever used SWIFT to transfer money from one country to another? It takes 5 to 7 days and often incurs around 10% in fees. Additionally, fiat currency depreciates quickly, while Pi is unlikely to devalue. There's no reason for everyone to sell all their Pi for fiat currency. It’s understandable for pioneers to sell 1 or 5 Pi initially, but as the ecosystem develops, this need diminishes. Pi is not just an asset to be listed for people to buy; it needs to circulate. Therefore, its value must remain stable. So we have GCV and some anti-GCV individuals should not use liquidity to deny GCV. Because GCV is for utility purpose.. Can you imagine how much wealth we will create in the future with AI and robots integrated into our daily lives? That’s why we must sustain GCV. Otherwise, it cannot support hundreds or thousands years demanding from all more than 200 countries. Pioneers, you are fortunate. While the world grapples with job losses, we see cuts affecting high-income engineers, programmers, bank employees, and accountants — and soon, this will reach labor jobs too. I’ve seen robots already in existence that can cook and do household chores. In China, many services are now performed by robots. So, value your Pi; it could be your safeguard in a time when AI is replacing many jobs. In closing, I want to congratulate everyone — GCV has triumphed! This is not merely my opinion; please take a look at the video. We have community support from over 100 countries and more than 20 million GCV data points created. Please do not doubt our progress. It also has been ins CT code. We do not need CT to give us a GCV or approve GCV. If they can, they would have done so over three years ago. They prefer GCV to be independent from CT. This is the established rule: the crypto creators should not define the value of cryptocurrency; that value can only come from the pioneers — the holders. --- 📷 United in the Light – GCV Confirmed, Pi’s Future Secured! Together, we prepare for the real Pi GCV economy. Doris Yin 🪷🪷🪷

Doris Yin 东方紫莲🪷

15,666 views • 8 months ago

MITM Takes On… Evermoon, the innovative 5v5 team-based battle game, is poised to redefine the mobile gaming landscape with its unique blend of strategic gameplay, blockchain integration, and community-driven approach. In this comprehensive review, we'll explore what sets Evermoon apart and why it has the potential to become the next big sensation in the gaming world. What is Evermoon Games ? Evermoon transports players into the heart of intense 5v5 battles, where strategic prowess and teamwork are paramount. Players select their heroes, each with distinct abilities, and collaborate with teammates to dismantle the enemy base. The game offers an immersive experience that combines adrenaline-pumping action with strategic depth. What Makes Evermoon Unique? At the core of Evermoon's innovation is its integration of blockchain technology. Unlike traditional games, where in-game assets are owned by the game developer, Evermoon empowers players by granting true ownership of heroes, skins, and items as non-fungible tokens (NFTs). This means that players can freely trade their assets on the secure and transparent NFT marketplace, adding a new dimension of value and ownership to the gaming experience. Moreover, Evermoon adopts a community-driven approach through its decentralized autonomous organization (DAO) system. This gives players a direct voice in shaping the game's evolution, fostering a sense of ownership and engagement among the player base. Key Features of Evermoon Immutable Passport: Simplifies access to Web3 gaming, eliminating the need for complex crypto wallets and gas fees, making it accessible to a wider audience. $EVM Token: The native token facilitates seamless transactions within the game's ecosystem, providing a unified medium for purchasing NFTs and powering the in-game economy. Play-to-Earn Mechanics: Evermoon offers multiple avenues for players to earn rewards, including the value of NFTs, Sacred Beast De-Fi companions, and seasonal releases, creating a dynamic and rewarding gameplay experience. Notable Achievements and Backing Evermoon has quickly garnered attention and accolades within the gaming community, Evermoon Beta I: Dominating the First Week! 📷 45,000+ Downloads 📷 5,000+ Daily Active Users 📷 300,000+ Hours Played 📷 25,000+ Matches ... and counting! in Southeast Asia alone. It has achieved top rankings in various gaming categories and has been recognized as the Most Popular Game Project by the Blockchain Gaming Awards. Backed by prominent partners such as Seedify, BNB Chain, Immutable ,You are looking for Beam and AWS Startups Evermoon benefits from strong support and strategic partnerships that position it for long-term success. The Team Behind Evermoon Led by industry veterans Patipol Anantarattana (Victor), Tanachot Anantarattana (View), and Suphitcha Latthikul (Grace SL | Evermoon), Evermoon boasts a visionary team with a wealth of experience in eSports, technology, and marketing. Their passion for gaming and commitment to innovation drive Evermoon's success and propel it to the forefront of the gaming industry. Conclusion Evermoon represents a paradigm shift in mobile MOBA gaming, combining cutting-edge technology with engaging gameplay and community empowerment. With its blockchain integration, innovative features, and seasoned team, Evermoon is poised to capture the hearts of gamers worldwide and pave the way for the future of decentralized gaming. Get ready to embark on an epic journey with Evermoon and experience the thrill of gaming like never before. End of Review If you us to research and review promising projects, just let us know! Thank you and let the game begin!

MITM Takes On… Evermoon, the innovative 5v5 team-based battle game, is poised to redefine the mobile gaming landscape with its unique blend of strategic gameplay, blockchain integration, and community-driven approach. In this comprehensive review, we'll explore what sets Evermoon apart and why it has the potential to become the next big sensation in the gaming world. What is Evermoon Games ? Evermoon transports players into the heart of intense 5v5 battles, where strategic prowess and teamwork are paramount. Players select their heroes, each with distinct abilities, and collaborate with teammates to dismantle the enemy base. The game offers an immersive experience that combines adrenaline-pumping action with strategic depth. What Makes Evermoon Unique? At the core of Evermoon's innovation is its integration of blockchain technology. Unlike traditional games, where in-game assets are owned by the game developer, Evermoon empowers players by granting true ownership of heroes, skins, and items as non-fungible tokens (NFTs). This means that players can freely trade their assets on the secure and transparent NFT marketplace, adding a new dimension of value and ownership to the gaming experience. Moreover, Evermoon adopts a community-driven approach through its decentralized autonomous organization (DAO) system. This gives players a direct voice in shaping the game's evolution, fostering a sense of ownership and engagement among the player base. Key Features of Evermoon Immutable Passport: Simplifies access to Web3 gaming, eliminating the need for complex crypto wallets and gas fees, making it accessible to a wider audience. $EVM Token: The native token facilitates seamless transactions within the game's ecosystem, providing a unified medium for purchasing NFTs and powering the in-game economy. Play-to-Earn Mechanics: Evermoon offers multiple avenues for players to earn rewards, including the value of NFTs, Sacred Beast De-Fi companions, and seasonal releases, creating a dynamic and rewarding gameplay experience. Notable Achievements and Backing Evermoon has quickly garnered attention and accolades within the gaming community, Evermoon Beta I: Dominating the First Week! 📷 45,000+ Downloads 📷 5,000+ Daily Active Users 📷 300,000+ Hours Played 📷 25,000+ Matches ... and counting! in Southeast Asia alone. It has achieved top rankings in various gaming categories and has been recognized as the Most Popular Game Project by the Blockchain Gaming Awards. Backed by prominent partners such as Seedify, BNB Chain, Immutable ,You are looking for Beam and AWS Startups Evermoon benefits from strong support and strategic partnerships that position it for long-term success. The Team Behind Evermoon Led by industry veterans Patipol Anantarattana (Victor), Tanachot Anantarattana (View), and Suphitcha Latthikul (Grace SL | Evermoon), Evermoon boasts a visionary team with a wealth of experience in eSports, technology, and marketing. Their passion for gaming and commitment to innovation drive Evermoon's success and propel it to the forefront of the gaming industry. Conclusion Evermoon represents a paradigm shift in mobile MOBA gaming, combining cutting-edge technology with engaging gameplay and community empowerment. With its blockchain integration, innovative features, and seasoned team, Evermoon is poised to capture the hearts of gamers worldwide and pave the way for the future of decentralized gaming. Get ready to embark on an epic journey with Evermoon and experience the thrill of gaming like never before. End of Review If you us to research and review promising projects, just let us know! Thank you and let the game begin!

MITM

82,569 views • 2 years ago

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif A.I Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif A.I Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜

JoJo-π

19,013 views • 1 year ago

Here's why $NEAR is a no-brainer in 2025 👇 Everybody loves NEAR Protocol and there is a reason for that (or many). Near is well-positioned to be one of the leading blockchain ecosystems this year. Let’s explore the “whys”. TIMESTAMPS Quick Bio – 00:00:15 Inflation Reduction Proposal – 00:00:43 Technically Speaking – 00:02:40 Near Intents – 00:03:37 Chain Signatures and AI – 00:04:39 Decentralization and DeFi – 00:05:59 I have my Near account since March 2023, but it has been inactive for a while, as I was focused on other stuff. However, the recent inflation halving proposal by HOT DAO (HOT Protocol 🔥) and LiNEAR (LiNEAR Protocol) brought my eyes back to the project and I really like what I’m seeing. So, here’s my first point. If this proposal passes, NEAR could lead the way in what appears to be a market trend of improving the tokenomics, as more and more experts realize holders have been overpaying for these networks' security, with a too high supply inflation. Solana tried something similar, but the proposal was rejected. In my opinion, validators voting favorably to that show a commitment to the chain for the long term. On the other hand, voting against it signals a short-term vision focused on milking the emissions as much as possible, at the ecosystem’s expense. The voting currently goes with 28% “YEA” votes, needing 66.76% to pass. Most of the validators who already cast their votes went with the yes. 2pilot, avb, openshards, qbit, sicmundus, fox, and intear are, so far, the only seven who voted “NAY”. This proposal has the vocal support of most influential figures in the Near ecosystem, including the Near Foundation (NEAR Foundation), led by Illia (root.near) (🇺🇦, ⋈), which makes me believe it will pass and show the power of the halving in getting the market’s attention and presenting a huge investment asymmetry for the native token right now. Is this everything I like about NEAR? Definitely not. This is just what got me looking at it again, just to discover a (very much) thriving ecosystem, full of interesting things happening at the same time. I’ll mention a few, but there is (much) more. Technically speaking, Near is a high-performance blockchain, with really low fees and one of the fastest finalities, with 600ms block time and approximately 1.8s finality. It also has my favorite architecture for internet-scale scalability, using sharding, while keeping a high decentralization standard. As a learning programmer, Near also has one of the best dev experiences (in my limited opinion). The documentation is clear, has a logical journey, presenting from the basic anatomy in details to more complex SDKs and tools. I’m also in love with the near-cli-rs. A command line interface program written in Rust for seamless interaction with the Near blockchain. Allowing wallet creation, chain query, sending transactions, staking, smart contract calls, and more. Near Intents. This was the second thing to get my attention, while studying the project again, and it sets a whole new standard for blockchain interactions, especially cross-chain. Basically, users can declare an intention (for example, swap Ethereum-USDT to Bitcoin) and a network of solvers, running on Near, will find the best path to accomplish this task. We recently saw an impressive 465k-worth swap happening in exactly this example, paying 0.55% of trading fees to thorswap.near and swapkit.near. According to a Dune Dashboard, the protocol accumulates nearly $400 million in volume since its launch not long ago, in November 2024. *obs.: half this volume was achieved in the last month. Massive! Near Intents is possible due to two other very interesting things: (i) Chain abstraction, and (ii) a solid AI infrastructure. Chain abstraction (via Chain Signatures) is a powerful interoperability feature, allowing Near to friendly connect different blockchains as if they were part of a single network. Users and devs benefit from wallet, address, fees, and cross-chain bridges abstractions - not even noticing they are interacting with multiple chains. One wallet that powers everything. Powered by Near. On AI, Near is just built differently. Not for the hype, but for the solution. The team has been looking for AI solutions much before the ChatGPT fever. Actually, they started as an AI company, pivoting to blockchain later. So, being one of the most promising networks for the growing AI economy was just the natural path to follow. There is an extensive and super complete research piece on that topic, recently published by Reflexivity Research (Reflexivity Research) on July 1st. It presents Near as an AI-optimized blockchain, covering AITP, Shade Agents, x402, Near Intents, and more. Definitely worth the reading. Wrapping up this content with one more aspect that really matters to me is how Near remains truthful to decentralization, data ownership, censorship-resistance and open-source primitives that have been increasingly abandoned by other key players. A simple example of that is how the Near Foundation decided to deprecate its public APIs, encouraging the surge of a more decentralized and competitive market of SaaS projects, with a highlight to Lava Network, that recently appeared in my timeline talking about that. DeFi is also huge on Near, leveraging all the previous properties I mentioned, creating a truly decentralized liquidity pool via Rhea Finance, connected with other chains like BTC, Ethereum, ZCash, and more. All that contributes to Near having the second-largest monthly active addresses, with nearly 50 million, only losing to Solana’s nearly 90 million. In the meantime, NEAR, the token, is not even at the 30rd position by market cap. Crazy stuff. To (finally) wrap it up, I also want to mention Near’s consensus decentralization. While having a low node-count, the network has a Nakamoto Coefficient of 11, which is not bad at all. Surely, there is still room for improvement, which is possible as becoming a validator is accessible staking and hardware-wise. If you liked this content, make sure to click the like bottom and share it around. Follow me on X or subscribe to my YouTube channel, both at vinibarbosabr. See ya!

Here's why $NEAR is a no-brainer in 2025 👇 Everybody loves NEAR Protocol and there is a reason for that (or many). Near is well-positioned to be one of the leading blockchain ecosystems this year. Let’s explore the “whys”. TIMESTAMPS Quick Bio – 00:00:15 Inflation Reduction Proposal – 00:00:43 Technically Speaking – 00:02:40 Near Intents – 00:03:37 Chain Signatures and AI – 00:04:39 Decentralization and DeFi – 00:05:59 I have my Near account since March 2023, but it has been inactive for a while, as I was focused on other stuff. However, the recent inflation halving proposal by HOT DAO (HOT Protocol 🔥) and LiNEAR (LiNEAR Protocol) brought my eyes back to the project and I really like what I’m seeing. So, here’s my first point. If this proposal passes, NEAR could lead the way in what appears to be a market trend of improving the tokenomics, as more and more experts realize holders have been overpaying for these networks' security, with a too high supply inflation. Solana tried something similar, but the proposal was rejected. In my opinion, validators voting favorably to that show a commitment to the chain for the long term. On the other hand, voting against it signals a short-term vision focused on milking the emissions as much as possible, at the ecosystem’s expense. The voting currently goes with 28% “YEA” votes, needing 66.76% to pass. Most of the validators who already cast their votes went with the yes. 2pilot, avb, openshards, qbit, sicmundus, fox, and intear are, so far, the only seven who voted “NAY”. This proposal has the vocal support of most influential figures in the Near ecosystem, including the Near Foundation (NEAR Foundation), led by Illia (root.near) (🇺🇦, ⋈), which makes me believe it will pass and show the power of the halving in getting the market’s attention and presenting a huge investment asymmetry for the native token right now. Is this everything I like about NEAR? Definitely not. This is just what got me looking at it again, just to discover a (very much) thriving ecosystem, full of interesting things happening at the same time. I’ll mention a few, but there is (much) more. Technically speaking, Near is a high-performance blockchain, with really low fees and one of the fastest finalities, with 600ms block time and approximately 1.8s finality. It also has my favorite architecture for internet-scale scalability, using sharding, while keeping a high decentralization standard. As a learning programmer, Near also has one of the best dev experiences (in my limited opinion). The documentation is clear, has a logical journey, presenting from the basic anatomy in details to more complex SDKs and tools. I’m also in love with the near-cli-rs. A command line interface program written in Rust for seamless interaction with the Near blockchain. Allowing wallet creation, chain query, sending transactions, staking, smart contract calls, and more. Near Intents. This was the second thing to get my attention, while studying the project again, and it sets a whole new standard for blockchain interactions, especially cross-chain. Basically, users can declare an intention (for example, swap Ethereum-USDT to Bitcoin) and a network of solvers, running on Near, will find the best path to accomplish this task. We recently saw an impressive 465k-worth swap happening in exactly this example, paying 0.55% of trading fees to thorswap.near and swapkit.near. According to a Dune Dashboard, the protocol accumulates nearly $400 million in volume since its launch not long ago, in November 2024. *obs.: half this volume was achieved in the last month. Massive! Near Intents is possible due to two other very interesting things: (i) Chain abstraction, and (ii) a solid AI infrastructure. Chain abstraction (via Chain Signatures) is a powerful interoperability feature, allowing Near to friendly connect different blockchains as if they were part of a single network. Users and devs benefit from wallet, address, fees, and cross-chain bridges abstractions - not even noticing they are interacting with multiple chains. One wallet that powers everything. Powered by Near. On AI, Near is just built differently. Not for the hype, but for the solution. The team has been looking for AI solutions much before the ChatGPT fever. Actually, they started as an AI company, pivoting to blockchain later. So, being one of the most promising networks for the growing AI economy was just the natural path to follow. There is an extensive and super complete research piece on that topic, recently published by Reflexivity Research (Reflexivity Research) on July 1st. It presents Near as an AI-optimized blockchain, covering AITP, Shade Agents, x402, Near Intents, and more. Definitely worth the reading. Wrapping up this content with one more aspect that really matters to me is how Near remains truthful to decentralization, data ownership, censorship-resistance and open-source primitives that have been increasingly abandoned by other key players. A simple example of that is how the Near Foundation decided to deprecate its public APIs, encouraging the surge of a more decentralized and competitive market of SaaS projects, with a highlight to Lava Network, that recently appeared in my timeline talking about that. DeFi is also huge on Near, leveraging all the previous properties I mentioned, creating a truly decentralized liquidity pool via Rhea Finance, connected with other chains like BTC, Ethereum, ZCash, and more. All that contributes to Near having the second-largest monthly active addresses, with nearly 50 million, only losing to Solana’s nearly 90 million. In the meantime, NEAR, the token, is not even at the 30rd position by market cap. Crazy stuff. To (finally) wrap it up, I also want to mention Near’s consensus decentralization. While having a low node-count, the network has a Nakamoto Coefficient of 11, which is not bad at all. Surely, there is still room for improvement, which is possible as becoming a validator is accessible staking and hardware-wise. If you liked this content, make sure to click the like bottom and share it around. Follow me on X or subscribe to my YouTube channel, both at vinibarbosabr. See ya!

Vini B |「 thecoding 」

40,183 views • 1 year ago

OpenLedger X Morpheus The partnership of openledger with Morpheus enables Use Morpheus to build "The Autonomous Smart Contract Engineer" on top of OpenLedger. What is Morpheus? Morpheus is a Web3-native AI coding agent that turns natural language into executable smart contracts and full-stack dApps. It is powered by a specialized Solidity model built on top of OpenLedger, tailored for the unique demands of secure and efficient onchain development. It goes beyond code generation. Using fine-tuned models, agent-based architecture, and modular plugin support, Morpheus automates the entire development pipeline-from writing and simulating contracts to deploying and maintaining them. Its mission is to reduce the barrier to dApp creation while enabling autonomous agents and individuals to participate in decentralized economies. Why OpenLedger? The rise of AI agents in Web3 raises urgent questions around transparency, attribution, explainability, and contributor incentives. OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. OpenLedger supports Morpheus by: Recording which data was used in generating model outputs Enabling verifiable attribution of contributed datasets Powering reward mechanisms for contributors Offering scalable and efficient model execution via OpenLoRA Supporting transparency and traceability in model decision-making This creates an open, rewardable foundation for AI-driven coding-without relying on opaque systems. How is the system built? The Morpheus architecture has three layers: Datanet Layer OpenLedger powers Morpheus with a specialized Datanet - a decentralized data layer where developers, auditors, and contributors can share smart contract patterns, audit logs, exploit reports, and logic modules. Each submission is recorded onchain with attribution using OpenLedger’s Proof of Attribution. As the model learns and evolves from this data, contributors receive rewards proportional to their impact on future outputs. The Morpheus architecture has two layers: Intent Layer Users describe what they want to build. Example: "Create a token with tax logic that routes to a DAO." Morpheus parses the instruction, retrieves relevant contract types, and plans a modular execution flow. Agent Layer The agent generates, tests, and assembles the contract. It handles versioning, logic validation, and deployment readiness. Security checks-reentrancy protection, overflow control, gas modeling-are embedded into the generation phase. Generated outputs are mapped to their source data using OpenLedger’s Proof of Attribution, providing traceability across the pipeline. How does the AI model work? Morpheus is being powered by a specialized Solidity model built on top of OpenLedger. This model is purpose-built to handle the nuances of smart contract logic, security, and upgradeability. Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.

OpenLedger X Morpheus The partnership of openledger with Morpheus enables Use Morpheus to build "The Autonomous Smart Contract Engineer" on top of OpenLedger. What is Morpheus? Morpheus is a Web3-native AI coding agent that turns natural language into executable smart contracts and full-stack dApps. It is powered by a specialized Solidity model built on top of OpenLedger, tailored for the unique demands of secure and efficient onchain development. It goes beyond code generation. Using fine-tuned models, agent-based architecture, and modular plugin support, Morpheus automates the entire development pipeline-from writing and simulating contracts to deploying and maintaining them. Its mission is to reduce the barrier to dApp creation while enabling autonomous agents and individuals to participate in decentralized economies. Why OpenLedger? The rise of AI agents in Web3 raises urgent questions around transparency, attribution, explainability, and contributor incentives. OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. OpenLedger supports Morpheus by: Recording which data was used in generating model outputs Enabling verifiable attribution of contributed datasets Powering reward mechanisms for contributors Offering scalable and efficient model execution via OpenLoRA Supporting transparency and traceability in model decision-making This creates an open, rewardable foundation for AI-driven coding-without relying on opaque systems. How is the system built? The Morpheus architecture has three layers: Datanet Layer OpenLedger powers Morpheus with a specialized Datanet - a decentralized data layer where developers, auditors, and contributors can share smart contract patterns, audit logs, exploit reports, and logic modules. Each submission is recorded onchain with attribution using OpenLedger’s Proof of Attribution. As the model learns and evolves from this data, contributors receive rewards proportional to their impact on future outputs. The Morpheus architecture has two layers: Intent Layer Users describe what they want to build. Example: "Create a token with tax logic that routes to a DAO." Morpheus parses the instruction, retrieves relevant contract types, and plans a modular execution flow. Agent Layer The agent generates, tests, and assembles the contract. It handles versioning, logic validation, and deployment readiness. Security checks-reentrancy protection, overflow control, gas modeling-are embedded into the generation phase. Generated outputs are mapped to their source data using OpenLedger’s Proof of Attribution, providing traceability across the pipeline. How does the AI model work? Morpheus is being powered by a specialized Solidity model built on top of OpenLedger. This model is purpose-built to handle the nuances of smart contract logic, security, and upgradeability. Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.

OpenLedger

46,735 views • 1 year ago

🥳 Let the world know that Cardano now has the first ever interoperable, decentralized advertisement agency & monetized engagement bot, a cutting-edge solution for brands looking to enhance their online marketing efforts through community engagement in the Web3 space! Clients: Leverage the power of Web3 community-driven marketing and increase your brand's visibility online by extending the reach and exposure of your content. Simply create your campaign and amplify your content to new audiences, by tapping into the strength of 150+ promoters ready to promote your brand today, official website: Our decentralized advertisement agency [beta] can be pre-funded to distribute any type of cryptocurrency from any blockchain, including native tokens. It can also be configured to automatically distribute NFTs, WL spots and coupons as different forms of rewards to promoters for engaging with a client's content, while our monetized engagement bot actively tracks whether or not a promoter has actually fulfilled the objectives of a client's campaign. Allowing not just for the advertisement of a client's brand, but also organic, widespread exposure of a client's assets to new markets with holders who are looking for new investment opportunities, creating a mutually beneficial incentive for all parties. It is an incredibly powerful tool that opens up a whole new level of utility for Web3 applications, as it is completely interoperable and reinvents the wheel when it comes to multi-chain reward distribution. Promoters: First come, first served! Engage to earn and get paid to participate using your Chilled Kongs/Magic Kongs NFT. Turn your social media accounts into digital advertisement platforms. The more you engage with campaigns, the more cross-chain rewards you will earn. Gorilla Militia members who participate in missions will receive Exp rewards that will level up their brand Kongs, unlocking perks and abilities used to access specific points of interest (premium features) on Kong Island. Key Features: ✅️ Web3 community-driven marketing ✅️ SocialFi platform ✅️ Interactive 2D/3D members map ✅️ Integrated monetized engagement bot ✅️ Multi-chain distribution ✅️ Earn cross-chain rewards ✅️ Interoperable ✅️ Transparent ✅️ Decentralized ✅️ Scalable ✅️ Select social media platform ✅️ Enter target content ✅️ Select objectives ✅️ Select payment method/wallet ✅️ Select campaign duration ✅️ Enter campaign budget ✅️ Entry deadline for promoters ✅️ Content protection for algorithmic boost ✅️ Preview target content ✅️ View leaderboard ✅️ View missions ✅️ View campaigns ✅️ View campaign analytics ✅️ View campaign statistics ✅️ View reward history ✅️ Filter rewards ✅️ Push notifications ✅️ Dedicated Discord channel for promoters ✅️ Dedicated Discord alert bot for missions/campaigns Supported Blockchains: #Bitcoin, #Cardano, #Ethereum, #XRP, #Solana, #Polygon, #BNBSmartChain, #Avalanche, #Immutable, #VeChain, #Cronos, #Polkadot Additional support for other blockchains and social media platforms will be added as the Meta-Multiverse continues to expand. The decentralized advertisement agency will be reconstituted into a standalone platform with Meta-Multiverse integrations that allow for 3rd party projects and their communities (holders) to also engage to earn. In the meantime, 3rd party project tokens can be added to our interoperable monetized engagement bot, on behalf of projects upon request, for a listing fee via Epoch Labz Chilled Kongs The Benefactor Charles Hoskinson @IOHKMedia Cardano Foundation

Chilled Kongs

17,368 views • 1 year ago

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

85,668 views • 2 months ago