Top 40 Crypto Research Tools

Below is a curated list of 40 websites that serve as excellent tools for crypto research, divided into 4 categories:

1. On-chain Data:

   • CryptoQuant (https://cryptoquant.com) An on-chain platform for in-depth analysis.
   • Dune Analytics (https://dune.com/browse/dashboards) View or create dashboards using project data (great for developers).
   • Arkham Intelligence (https://platform.arkhamintelligence.com/waitlist?referrer=aHV5bmFtMDg4MUBnbWFpbC5jb20=) AI-powered on-chain platform with data visualization (potential eligibility for a $ARKHAM token airdrop – already raised $10M).
   • Nansen (https://nansen.ai) On-chain data analysis.
   • Santiment (https://santiment.net) On-chain data and analytics.
   • Etherscan (https://etherscan.io) Ethereum blockchain explorer.
   • Glassnode (https://studio.glassnode.com) On-chain data provider.
   • BubbleMaps (https://app.bubblemaps.io/eth/) Visual on-chain data.
   • Watchers.Pro (https://watchers.pro) VC and market maker tracking with a user-friendly interface.

2. Trend Monitoring:

   • CoinMarketCap (https://coinmarketcap.com)
   • CoinGecko (https://coingecko.com)
   • L2 Beat (http://l2beat.com) Monitoring Layer 2 projects.
   • Breadcrumbs (https://breadcrumbs.app) Crypto investigation tool.
   • Messari (https://messari.io) Comprehensive research (reports, VC insights, etc.).
   • DeFi Llama (https://defillama.com) Track TVL and more (hacks, raises, contracts, etc.).
   • LunarCRUSH (http://lunarcrush.com) Social media traffic analysis for cryptocurrencies.
   • DappRadar (https://dappradar.com) Project rankings and volume tracking.
   • Token Terminal (https://tokenterminal.com) Monitor TVL, revenue, treasury, and developer/user activity.
   • Nanoly (https://nanoly.com) Tracking DeFi vaults (TVL, APY, etc.).
   • RiskDAO (https://riskdao.org) Monitor bad debts in lending protocols and conduct risk analysis.
   • DeepDAO (https://deepdao.io/organizations) Monitor DAOs (treasury, token holders, proposals, votes, etc.).
   • DeFi Safety (https://defisafety.com) Protocol risk assessments.
   • Ultrasound.Money (https://ultrasound.money) Real-time ETH supply updates.
   • CoinGlass (https://coinglass.com) Updates on market long-short ratios.
   • ICODrops (https://icodrops.com) Track IDO events.
   • CryptoRank (https://cryptorank.io) ROI updates for IDO participants.

3. Charts + Tools:

   • DexScreener (https://dexscreener.com) Token charts for all blockchains.
   • DexTools (https://dextools.io/app/en) Ethereum network charts.
   • PooCoin (https://poocoin.app) BSC charts and swap tool.
   • Revoke.Cash (https://revoke.cash) Revoke suspicious contracts to safeguard your account.
   • ApeBoard (https://apeboard.finance) On-chain dashboard and asset bridging guide.
   • DeBank (https://debank.com) Whale wallet tracking and asset management.
   • Zapper (https://zapper.xyz) Similar to DeBank.
   • CryptoFees (https://cryptofees.info) Real-time on-chain transaction fee updates.

4. Venture Capital Tracking:

   • Crunchbase (https://crunchbase.com) Check VC portfolios.
   • Crypto Fundraising (https://crypto-fundraising.info) Information on funding rounds.
   • DeFi Llama Raises (https://defillama.com/raises) Information on funding rounds.
   • Unlocks Calendar (https://unlockscalendar.com) VC token unlock schedules.
   • Token Unlocks (https://token.unlocks.app) VC token unlock schedules.

Thanks to Dipper for sharing!

1. Enhanced Transaction Speed and Latency Reduction
   • In its 2025 roadmap announced on February 14, 2025, BNB Chain aims to reduce transaction latency from 3 seconds to under 1 second. This improvement targets faster processing times, making the chain more competitive with high-performance blockchains and enhancing user experience for decentralized applications (dApps).
2. Gasless Transactions via Megafuel
   • A significant innovation in the 2025 roadmap is the introduction of “Megafuel,” a feature designed to enable gasless transactions. This eliminates transaction fees for users, lowering the barrier to entry and encouraging broader adoption of BNB Chain for both developers and end-users.
3. Expansion of the Meme Coin Ecosystem
   • BNB Chain is focusing on growing its meme coin ecosystem as part of its 2025 strategy. By fostering a supportive environment for viral and community-driven tokens, the chain aims to attract a wider audience and capitalize on the popularity of meme coins in the crypto market.
4. Support for Web3 Startups through MVB Program
   • The Most Valuable Builder (MVB) program, now in its 9th season (applications opened on December 13, 2024), continues to nurture Web3 startups on BNB Chain. In collaboration with Binance Labs and CMC Labs, this initiative provides funding, mentorship, and resources to promising projects, strengthening the ecosystem’s innovation pipeline.
5. Infrastructure Development via Investments
   • Binance Labs, the investment arm tied to BNB Chain’s growth, invested in Kernel on November 25, 2024. Kernel is a restaking infrastructure project built on BNB Chain, aimed at enhancing staking mechanisms and improving the chain’s scalability and security. Such investments signal ongoing efforts to bolster the technical foundation of the network.
6. Scalability and Mass Adoption Focus
   • The overarching goal of BNB Chain’s recent developments is to drive mass adoption by improving scalability and accessibility. This includes optimizing the chain for high transaction throughput and ensuring it remains cost-effective, aligning with its original mission to be a fast, low-cost alternative to other blockchains.
7. Decentralized Ecosystem Growth
   • BNB Chain continues to prioritize decentralization and ecosystem diversity. The 2025 roadmap emphasizes supporting a wide range of dApps, from DeFi to gaming and NFTs, ensuring the chain remains a versatile platform for developers and users alike.

You’ll find links to their official websites where you can access these online services yourself.

• ClickUp: A comprehensive project management tool that uses AI to automate routine tasks, provide personalized recommendations, and integrate with other tools. It’s ideal for streamlining workflows and managing projects efficiently.
  ClickUp Official Website

• Otter.ai: An AI-powered transcription service that saves time during meetings by automatically generating summaries and action items. It also integrates with project management systems for seamless task tracking.
  Otter.ai Official Website

• Jasper: An AI writing assistant that speeds up content creation with features like auto-complete text suggestions and grammar checks. It’s particularly useful for content creators and marketers.
  Jasper Official Website

• Motion: A robust AI-powered productivity tool that integrates calendar management, project timelines, and task lists to help streamline daily activities and improve overall efficiency.
  Motion Official Website

• Notion AI: A powerful project management platform with AI capabilities that can create rough drafts and assist with content creation. Its wiki feature is excellent for centralizing company documentation.
  Notion Official Website

• Zapier: An integration tool that uses AI to connect different apps and automate workflows, saving time on manual tasks.
  Zapier Official Website

• Grammarly: An AI-powered writing assistant that improves the quality and efficiency of written communication by providing grammar, spelling, and style suggestions.
  Grammarly Official Website

• Perplexity: A research tool that uses AI to provide sources and citations, making it easier to gather information quickly and accurately.
  Perplexity Official Website

Agentic AI vs. Generative AI: A Comparative Analysis That’s Both Smart and Smirky

In the ever-evolving circus of artificial intelligence, two ringmasters have taken center stage: Agentic AI and Generative AI. These two paradigms might share the same techy DNA, but they strut their stuff in wildly different ways—one’s a decision-making dynamo, the other a creative content conjurer. So, grab a front-row seat as we dissect their differences with the precision of a genius and the wit of a stand-up comic. Let’s dive in!

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1. Autonomy vs. Creativity: The Butler vs. The Brushstroke

Picture Agentic AI as your trusty personal butler—impeccably dressed, anticipating your every need, and making decisions faster than you can say “Jeeves, the car!” It thrives on autonomy, powering self-driving Teslas that dodge traffic or smart assistants that schedule your life without breaking a sweat. This AI doesn’t just follow orders; it thinks for itself.

Now, meet Generative AI, the Picasso of the digital realm. It’s less about decisions and more about dazzling you with creativity—whipping up blog posts, painting hyper-realistic portraits, or strumming a tune that’d make Beethoven jealous. Tools like GPT-4o and DALL-E don’t drive the car; they’d rather sketch it in glorious technicolor. One’s a doer, the other’s a dreamer.

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2. Goal-Oriented vs. Output-Oriented: The Manager vs. The Muse

Agentic AI is the project manager you secretly admire—ruthlessly focused on hitting targets. Whether it’s optimizing your smart home’s energy bill or choreographing a robotic warehouse, this AI lives for the endgame. It’s all about navigating messy systems to deliver results, no fluff attached.

Generative AI, though? It’s the eccentric writer hunched over a typewriter, churning out novels, ad copy, or movie scripts with flair. It doesn’t care about goals—it’s obsessed with output. Give it a nudge (or a prompt), and it’ll flood you with content that’s clever, creative, and occasionally mind-blowing. One’s chasing the finish line; the other’s basking in the applause.

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3. Interaction with Environment: The Traveler vs. The Studio Star

Agentic AI is a seasoned globetrotter—boots on, map in hand, adapting to whatever the world throws its way. In a smart home, it’s tweaking the thermostat based on whether you’re Netflix-binging or out for a run. It thrives on real-time interplay, making split-second calls like a pro.

Generative AI, meanwhile, is the reclusive artist holed up in a studio. It crafts brilliance—think articles, images, or viral TikTok soundtracks—but it’s not stepping outside to chat with the world. It’s tethered to its data canvas, producing wonders without ever sensing the breeze. One’s out in the wild; the other’s happily indoors.

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4. Use of Tools and Resources: The Chef vs. The Painter

Imagine Agentic AI as a Michelin-starred chef, juggling knives, ovens, and a dozen ingredients (or APIs) to serve up a perfect dish. It pulls real-time data—traffic patterns, inventory levels, weather updates—to orchestrate everything from supply chains to city grids. It’s a multitasker extraordinaire.

Generative AI? It’s the painter with a single brush and a killer palette. It doesn’t grab tools or tweak based on live input—it just dips into its vast well of learned data and creates. Stunning? Absolutely. Versatile beyond the easel? Not so much. One’s a kitchen wizard; the other’s a one-trick maestro.

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5. Learning and Adaptation: The Student vs. The Scribe

Agentic AI is the eager student who aces every pop quiz. It learns on the fly, refining its game with every bit of feedback. In customer service, it tweaks its tone based on your mood, turning “meh” chats into five-star experiences. It’s dynamic, always evolving.

Generative AI, by contrast, is the wise old scribe—brilliant at recounting tales from its dusty tomes of data but not so hot at adapting to new chapters. Its outputs dazzle, but they’re static; it won’t rewrite the script based on your critique. One’s a lifelong learner; the other’s a master of the past.

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6. Application Spectrum: The Doers vs. The Dreamers

Agentic AI owns the turf where decisions rule the day:

• Robotics: Think warehouse bots zipping around, stacking boxes like Tetris champs.
• Autonomous Vehicles: Cars that brake for squirrels and parallel park better than you.
• Smart Assistants: Your digital sidekick, juggling your calendar and coffee orders.

Generative AI steals the spotlight in creative corners:

• Content Creation: Spinning blogs, poems, or ad slogans that hook you instantly.
• Design: Crafting images and videos so real you’ll question reality.
• Virtual Worlds: Building game realms or VR escapes that feel like a second life.

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The Big Finish: Two Sides, One Brilliant Coin

So, there you have it—Agentic AI and Generative AI, the yin and yang of the AI universe. Agentic AI is your tireless captain, steering through chaos with autonomy and grit. Generative AI is your boundless bard, weaving creations that spark awe and inspiration. They’re not rivals; they’re partners in crime, reshaping our world—one decision, one masterpiece at a time. Just don’t ask Generative AI to take the wheel—it’d rather sketch the roadmap instead!

Ref: https://www.fabrixai.com/blog/agentic-ai-vs-generative-ai-what-you-need-to-know?fbclid=IwY2xjawIw81lleHRuA2FlbQIxMAABHRSrw8Jjbxq-RSXLn_m0Ux4CtaEUxF9WfecvxSwRjMgl0pZE_IcKtVOAzQ_aem_NGNRt5LCw8V9AlMrSjTzbg

The Future of AI: How AI Agents Will Revolutionize Your Daily Life in 2024

Imagine a world where your digital assistant doesn’t just respond to commands but predicts your needs, organizes your schedule, and handles tasks without you lifting a finger. Sound futuristic? It’s not—it’s 2024, and AI agents are here to make it happen! These aren’t your old-school chatbots; they’re smart, proactive digital companions ready to automate your daily grind. But how does this high-tech ecosystem work? Let’s break it down into four easy layers—no rocket science required!

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1. The Ecosystem Layer: The Brains Behind the Operation

First up, we’ve got the ecosystem layer—the foundation of it all. Picture massive AI models like OpenAI’s GPT as the powerhouse engines driving AI agents. Tech giants like Amazon and Google are in on the action too, building the smarts that let these agents tackle tasks without you browsing the web or downloading apps. Think of them as your tireless digital assistants, always ready to jump in and help.

• Who’s involved? OpenAI, Amazon, Google
• What’s the deal? Provides the core intelligence for AI agents to shine.

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2. The Application Layer: Your Personal Digital Concierge

Here’s where AI agents steal the show! They’re like your personal digital concierges, taking inputs from your voice, photos, or even smart home sensors, then delivering exactly what you want—whether it’s booking a trip, whipping up a recipe, or tweaking your lights. The kicker? You don’t need to code a thing. With no-code tools, anyone can craft their own AI agent. It’s like hiring a custom “errand runner” who works 24/7, no salary required! ️

• Inputs they handle: Voice, images, sensor data
• What they do: Deliver tailored results and actions
• Cool perk: Create your own agent—no tech skills needed!

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️ 3. The Management Layer: Keeping Your Digital Team in Line

With all this power, you need some order. That’s where the management layer steps in—think of it as the HR squad for your digital workforce. It assigns permissions, checks identities, and makes sure your AI agents play nice together. This layer keeps everything secure and efficient, so your agents don’t turn into rogue robots. It’s the glue that holds the AI ecosystem together! ️

• Key tasks: Permissions, identity checks, coordination
• Why it matters: Ensures safety and smooth teamwork

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4. The Data Layer: The Fuel for Smart Decisions

Last but not least, the data layer is what makes AI agents brilliant. They dig into everything from your private emails and calendars to public news and databases. Armed with this info, they can answer tricky questions, hunt down facts, or even shop for you—adding items to your cart and sealing the deal. It’s like having a super-savvy researcher who doubles as your personal shopper!

• Data they use: Private (your stuff) + public (news, web)
• Superpowers: Answering, deciding, acting on your behalf

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Why AI Agents Are a Game-Changer

In 2024, AI agents aren’t just tools—they’re your digital sidekicks, learning, planning, and solving problems like a pro. From small stuff like scheduling meetings to big wins like managing your finances, they’re here to lighten your load. As they team up and get smarter, they’ll free you from the boring bits of life, letting you focus on what really counts.

The future’s arrived, and it’s packed with brainpower. Ready to let AI agents take the wheel?

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Quick Recap

• AI agents are evolving into smart, proactive helpers—not just chatbots.
• The ecosystem layer powers them with cutting-edge AI models.
• The application layer lets anyone create custom agents, no coding needed.
• The management layer keeps them safe and organized.
• The data layer feeds them the info to act like geniuses.

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Ref: GiaBao
Author: Jeremiah Owjang

Yo, fam! Let’s cut through the noise and get straight to the juice: DePIN is the future, and if you’re not vibing with it yet, you’re about to miss the wildest ride in blockchain and AI. I’m talking about Decentralized Physical Infrastructure Networks—DePIN for short—and this ain’t just some geeky buzzword. It’s the real deal, the kind of tech that’s gonna flip the script on how we run the physical world. Think energy grids, AI-powered robots, decentralized data networks—all hooked up to blockchain, no suits or gatekeepers, just raw, unstoppable innovation.

What’s DePIN, You Ask?

Picture this: blockchain isn’t just for crypto or NFTs anymore—it’s out here bossing real-world stuff. DePIN uses decentralized networks to manage physical infrastructure, from power lines to robot armies. It’s like the internet grew a spine and started flexing in the real world. No central authority, no middlemen—just pure, peer-to-peer magic.

The Latest DePIN Heat

Hold onto your hats, ‘cause DePIN’s been cooking up some next-level moves lately. Here’s the rundown:

• AI x DePIN: The Power Couple
  AI’s getting a decentralized glow-up. Need serious GPU juice for your fancy AI model? DePIN’s got your back, hooking you up with a global network of compute power—faster, cheaper, and open to all. It’s like AI just got a decentralized brain, and it’s ready to outsmart the old-school cloud giants.

• Energy Grids, Blockchain Style
  Energy’s going rogue with DePIN. Imagine decentralized grids where you’re swapping solar power with your neighbor—no utility company skimming the top. It’s peer-to-peer energy trading, like Uber for electricity, and it’s about to send the old energy dinosaurs packing.

• DePAI: The Sci-Fi Dream
  Then there’s Decentralized Physical AI—DePAI. This is where it gets straight-up futuristic. AI-powered robots, drones, and agents doing real-world gigs—delivering your takeout, fixing bridges, collecting data—all run by decentralized networks. Think of it as your personal JARVIS from Iron Man, but the blockchain’s calling the shots.

Why Everyone’s Hyped

The buzz around DePIN? Oh, it’s real, fam. This isn’t some passing fad—it’s a full-on paradigm shift. Investors are throwing cash, developers are coding like mad, and even governments are peeking over the fence. Why? Because DePIN’s got the juice to disrupt everything—energy, tech, logistics, you name it. And it’s not locked to any one country; this is a global takeover.

Tokenomics That Slap

Here’s where it gets genius: DePIN’s tokenomics are fire. You pitch in—share your GPU, toss some energy into the grid, run a node—and boom, you’re rewarded. It’s a self-sustaining vibe where every player’s got skin in the game. Trust and computation? That’s the new currency, and DePIN’s printing it like a boss.

The Big Picture

Think of DePIN as the Avengers of blockchain—each project’s a superhero, bringing its own flavor: AI muscle, energy swagger, robotic finesse. Together, they’re rewriting how we build and vibe with the physical world. This isn’t just tech; it’s a whole new economy, and it’s coming in hot.

So, fam, stay woke. DePIN’s the wave, and it’s crashing fast. Don’t sleep on it—or you’ll be the one left wondering how the future got so decentralized without you.

Pyth Network is an oracle network that provides accurate, real-time price data for various assets, including cryptocurrencies, stocks, forex, ETFs, and commodities. Oracles connect smart contracts on blockchains to real-world data, and Pyth stands out with its innovative approach.

Key Features:

• Unique Pull Model:
  Unlike traditional oracles that “push” data constantly, Pyth uses a “pull” model. Users fetch data only when needed, making it cost-effective and efficient. The data comes straight from trusted sources like Jane Street, CBOE Global Markets, and Binance.

• Major Benefits:

  • Speed & Accuracy: Updates are fast and reliable, perfect for DeFi apps needing up-to-date prices.
  • Scalability: Supports over 50 blockchains and 162 protocols, securing $5.5 billion in value (as of March 2024).
  • Cost Savings: Users pay only for the data they use, lowering expenses.

• Real-World Applications:

  • Used by projects like Synthetix (DeFi) for synthetic assets and Helium (IoT) for token pricing.
  • Backed by over 100 data partners, including global exchanges and decentralized platforms.

• Big Vision:
  Pyth aims to make the world’s financial data accessible in Web3, fueling the growth of decentralized systems.

• PYTH Token:
  Has a max supply of 10 billion tokens, used to incentivize data providers and grow the network.

Why It’s Important:

Pyth offers fast, reliable, and affordable data, especially on Solana. It’s a strong contender against other oracles like Chainlink and Band Protocol, thanks to its focus on performance and scalability.

1. On-chain Data:

• CryptoQuant - An onchain platform for in-depth analysis.
• Dune Analytics - View or create dashboards with data from projects (suitable for developers interested in creating dashboards).
• Arkham Intelligence - An AI on-chain platform with visualization (using this may qualify for an $ARKHAM token airdrop - already raised $10 million).
• Nansen - Onchain data analysis.
• Santiment - Onchain data and analytics.
• Etherscan - Ethereum blockchain explorer.
• Glassnode - Onchain data provider.
• BubbleMaps - Visual onchain data.
• Watchers.Pro - VC and MM tracking (user-friendly UI).

2. Trend Monitoring:

• CoinMarketCap
• CoinGecko
• L2 Beat - Monitoring Layer 2 projects.
• Breadcrumbs - Crypto investigation tool.
• Messari - Comprehensive research (reports, VCs, etc.).
• DeFi Llama - Check TVL and more (Hacks, Raises, Contracts, etc.).
• LunarCRUSH - Social media traffic analysis for cryptocurrencies.
• DappRadar - Project rankings and volume.
• Token Terminal - Monitoring TVL, revenue, treasury, active devs + users.
• Nanoly - Monitoring DeFi vaults (TVL, APY, etc.).
• RiskDAO - Monitoring bad debts in lending protocols and risk analysis.
• DeepDAO - Monitoring DAOs (Treasury, Token Holders, Proposals, Votes, etc.).
• DeFi Safety - Protocol risk assessments.
• Ultrasound.Money - Real-time ETH supply updates.
• CoinGlass - Long-Short ratio updates in the market.
• ICODrops - Monitoring IDO events.
• CryptoRank - Updating ROI of IDO participants.

3. Charts + Tools:

• DexScreener - Token charts for all chains.
• DexTools - Ethereum network charts.
• PooCoin - BSC charts + swap.
• Revoke.Cash - Revoke suspicious contracts to prevent account hacks.
• ApeBoard - Onchain Dashboard + asset bridging guide.
• DeBank - Whale wallet tracking + asset management.
• Zapper - Similar to DeBank.
• CryptoFees - Updating onchain transaction fees.

4. Venture Capital Tracking:

• Crunchbase - Checking VC portfolios.
• Crypto Fundraising - Funding rounds information.
• DeFi Llama Raises - Funding rounds information.
• Unlocks Calendar - VC token unlock schedules.
• Token Unlocks - VC token unlock schedules.

Thanks sharing by Dipper

U can embed images for scenario

Thank for sharing

Introduction

TOKEN2049 is an annual two-day event held in Singapore that serves as a hub for crypto enthusiasts, including founders, executives, investors, developers, and media. The event offers a plethora of activities such as keynotes, panel discussions, workshops, and networking sessions.

Objective: To provide insights into the crypto industry and offer networking opportunities for community members.

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Key Takeaways

DeFi: The Financial Revolution

• Status: Still in early development but growing rapidly.
• What is it?: A financial system built on blockchain technology that eliminates the need for intermediaries.
• Impact: Enables borrowing, lending, trading, and investing in a decentralized manner.

NFTs: Beyond Digital Art

• Status: Becoming more mainstream.
• What is it?: Digital assets stored on a blockchain, representing ownership of digital assets like artwork, music, and gaming items.
• Impact: Wider adoption across various industries.

The Metaverse: The Future of Digital Interaction

• Status: Early stages but holds immense potential.
• What is it?: A virtual world built on blockchain technology.
• Impact: Revolutionizes how users interact with each other and digital objects.

Web3 Gaming: Own Your Game

• Status: Still in its infancy but promising.
• What is it?: Gaming built on blockchain technology.
• Impact: Allows players to own and trade in-game assets, potentially transforming the gaming industry.

Regulatory Challenges: The Road Ahead ️

• Status: Ongoing challenges varying by country.
• What is it?: Regulatory issues facing the crypto industry.
• Impact: The industry is collaborating with regulators to create a more favorable environment.

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Conclusion

TOKEN2049 is an invaluable event for anyone interested in the crypto industry, offering the latest insights and networking opportunities. From DeFi to NFTs, the metaverse, and Web3 gaming, the event covers a wide range of topics that are shaping the future of the digital world.

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This Markdown summary provides a comprehensive overview of the TOKEN2049 event and its key takeaways, making it a valuable resource for anyone interested in the crypto space.

Introduction

Account Abstraction (AA) is a groundbreaking step in optimizing user experience and enhancing security on the Ethereum network.

Quote: “Not your keys, not your coins.”

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Overview

• Authentication and Computation: AA separates authentication from computation, allowing you to use a text address instead of managing private keys.
• Account Merging: AA merges Externally-Owned Accounts (EOA) with Contract Accounts (CA), creating “smart contract wallets.”

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Progress and Applications

• Infrastructure: EVM-compatible blockchains and zk-rollups are scaling with AA support.
• Wallet Providers: AA-enabled wallets offer user-specific functionalities.
• Payments: Paymaster contracts abstract fees, eliminating the need for native tokens.
• Gaming/NFTs: AA adoption is enhancing on-chain gaming and NFT utility through ERC-4337 and ERC-6551.
• Social Media: Signature abstraction for seamless Web3 wallet interactions.

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Purpose

• Streamlined Interactions: Facilitates smoother interactions between wallets, Dapps, and DeFi.
• Gas Payment: Determines who can pay for gas and how.
• Smart Contracts: Transforms user wallets into smart contracts, enabling complex functions like token locking/unlocking.

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Addressing Limitations

• Security: Eliminates the need for private key management, reducing asset loss risk.
• Convenience: Simplifies blockchain interactions.
• Feature Integration: Enables new features like multi-sig verification and privacy protection.
• DeFi Growth: Improves gas fee efficiency and allows alternative token payment for gas.

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Implementation Challenges

• EIP-3074 and EIP-5003: Require a hard fork, making them less feasible.
• EIP-4337: Has broad support but requires users to move assets to a new contract account, which can be costly due to Ethereum’s high gas fees.

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Source: 0xAndrewMoh on Twitter

Coding games are the best way to learn coding. From CSS, JavaScript, Python to Blockchain. Here are 8 of the best online games to learn coding:

1. CryptoZombies CryptoZombies is an interactive school that teaches you all things technical about blockchains. https://cryptozombies.io
2. The SQL Murder Mystery The SQL Murder Mystery is designed to be both a self-directed lesson to learn SQL concepts and commands and a fun game for experienced SQL users to solve an intriguing crime. https://mystery.knightlab.com
3. Learn SQL with Police department game SQL Police Department is an online game where you solve crimes using SQL. https://sqlpd.com
4. Flexbox Froggy A game for learning CSS flexbox. Flexbox is an important concept in CSS, so this game will teach you Flexbox in very simple way. https://flexboxfroggy.com
5. Screeps It’s an open-source game for programmers, wherein the core mechanic is programming. You control your colony by writing JavaScript. https://screeps.com
6. CodingGame This game-based learning website has transformed the way students learn to code. More than 25 programming languages, including JavaScript, Ruby, and PHP, are available on this website. https://codingame.com/start
7. CodeCombat CodeCombat is designed in a very simple manner to help students embrace learning while playing and writing code. https://codecombat.com
8. Checkio Learn Python and Typescript with this game website. https://checkio.org

6 GitHub repositories will make your life 90% easier:

1. Novu Build a notification system with a single API call for all messaging providers (Email, SMS, Push, Chat) https://github.com/novuhq/novu
2. 50 Projects 50 Days 50+ mini web projects using HTML, CSS & - JavaScript. https://github.com/bradtraversy/50projects50days
3. Free for Dev A list of SaaS, PaaS, and IaaS offerings that have free resources for developers. https://github.com/ripienaar/free-for-dev
4. Free Programming Books List of free learning resources and programming books in many languages. https://github.com/EbookFoundation/free-programming-books
5. Clean Code JavaScript Guide to producing readable, reusable, and refactorable software in JavaScript. https://github.com/ryanmcdermott/clean-code-javascript
6. nhost The Open Source Firebase Alternative with GraphQL. Make the backend easy. Never manage infrastructure. https://nhost.io

The article will help if you are learning javascript or get confused in output question or even find difficult to understanding other core concepts of javascript.

What are scopes?

The scope is the accessibility of variables, functions, or objects in some particular part of your code during runtime.

They came into existence when the principle of least privilege was applied in programming language designs.

Why should we care to learn it?

They provide some level of security to your code, i.e are only used when they are really needed.
Scoping parts of your code help improve efficiency, track and reduce bugs
It also solves the naming problem when you have variables with the same name but in different scopes, so reduce namespace collision.

What are the types of scope?

1. Global and Local
2. Lexical
3. Block
4. Public and Private

Global Scope and Local Scope

Any variable declared outside of a function belongs to the global scope and is therefore accessible and can be altered from anywhere in your code.

Variables defined inside a function are in the local scope. They have a different scope for every call of that function. This means that variables having the same name can be used in different functions. This is because those variables are bound to their respective functions, each having different scopes, and are not accessible in other functions.

New functions = new local scope — that’s the rule.

Lexical Scope

When a function within another function, the inner function has access to the scope in the outer function, this is called Lexical Scope — also referred to as Static Scope as it may only be called (referenced) from within the block of code in which it is defined.

JavaScript starts at the innermost scope and searches outwards until it finds the variable/object/function it was looking for.

The important thing to remember is that the Lexical scope does not work backward. i.e we cannot access comments variable in SocialMedia function and in the Platform function in above example.

Other Example:

function a() {
    const a = 1;
    console.log(a)
    return function b() {
        const a = 2
        console.log(a)
        return function c() {
            const a  =3
            console.log(a)
        }
    }
}

1
2
3

function a() {
    const a = 1;
    console.log(a)
    return function b() {
        console.log(a)
        return function c() {
            console.log(a)
        }
    }
}

1
1
1

Block Scope

Block statements like if and switch conditions or for and while loops and {} unlike functions, don’t create a new scope.

var name = "Mouse";
{
  // Local
  var name = "Cat";
  console.log(name); // Cat
}
console.log(name); // Cat

Other exmple:

for (var i = 0; i < 3; i++) {
  setTimeout(function() { console.log(i); }, 1000);
}
// 3,3,3

for (let i = 0; i < 3; i++) {
  setTimeout(function() { console.log(i); }, 1000);
}
// 0 1 2

Explain:

The reason is due to how scopes work in JavaScript. In the first example, when using var to declare the variable i, i is created in the scope of the parent function containing the for loop. So, when the setTimeout functions are called, they access the same i variable within the same scope. However, at the time the setTimeout functions are executed, the for loop has already completed, and the value of i is 3. Therefore, when the setTimeout functions execute, they will print the value 3 three times.

In the second example, when using let to declare the variable i, i is created in a new scope for each iteration of the loop. This means that each setTimeout function will access the i variable within its own separate scope. Hence, when the setTimeout functions execute, they will print the values 0, 1, and 2 respectively, corresponding to the values of i in each iteration.

Public and Private scopes

Wrapping functions from the public (global) scope save them from vulnerable attacks. But in JavaScript, there is no such thing as public or private scope. However, we can emulate them though.

The return statement of the modulePattern contains our public functions. The private functions are just those that are not returned. Not returning functions makes them inaccessible outside of the modulePattern namespace. But our public functions can access our private functions which make them handy for helper functions.

src: https://towardsdatascience.com/still-confused-in-js-scopes-f7dae62c16ee

Context is one of those topics that always creates a lot of confusion when someone is starting to learn javascript and it’s a topic that the interviewer asks about a lot

OK! Let's Start ...

What is context?

Context is always the value of the this keyword which is a reference to the object that “owns” the currently executing code or the function where it’s looked at.

We know that window is a global object in the browser so if we type this in the console and it should return window object, which it does.

Context — globally and inside a function.

foo is the function is defined at the global level and is called on global level object i.e window so calling foo and window.foo is same. Hence the context is a window object.

Whereas if we do new foo() at the global level then will get this as fooobject.

Context — under 2nd level function

Context — when the function is defined globally and used under an object (Implicit Binding).

When using use strict in a function, the context i.e this keyword behaves differently. Context remains whatever it was called upon.

How context behave in arrow function?

Arrow functions work differently from regular functions in terms of context. `this` will always refer to the lexical scope (read here about scope), i.e `this` retains the value of the enclosing lexical context's.

In global code, it will be set to the global object, hence we get above true.

How does context behave on the object’s prototype chain?

Context follows the same rule, i.e. if the function is on an object’s prototype chain, this refers to the object the method was called on.

If we call obj.func() will get undefined and if func is called on newObj created from objwhich has x defined it will return the value hence 10.

How context behave in the event handlers?

The context in case event handlers refers to the element that received the event.

Here we added a jquery click event on body tag of DOM, and we can see that the context returns the body element.

How does the context behave in an execution context?

If you don’t know what is execution context. In short, execution context is the ‘environment’ or scope in which a function executes in. Every time a function is called, a new execution context is created. Every call to an execution context has 2 stages

1. Creation — when the function is called
2. Activation — when the function is executed

The value of this is determined at creation phase, not at the time of execution. However, this determination rule remains the same.

How is context is different from the scope?

Scope and context are altogether a different concept but usually used by the upcoming developer interchangeably.

The scope is the accessibility of variables, functions, or objects in some particular part of your code during runtime

Every function invocation has both a scope and a context associated with it.

How to explicitly change the context?

We can dynamically change the context of any method by using either call(), apply() and bind() method.

Call — The very first argument call takes in is the context you want to use. Afterward, you can pass in any number of comma-separated values.

foo.call(context, param1, param2, param3 );

Apply — This is the same as call but differs in the sense of no. of argument. Apply only support 2 arguments, context and array of values.

foo.apply( context,[param1, param2, param3]);

Bind — It returns a new function which is permanently bound to the first argument of bind regardless of how the function is being used. bind doesn’t invoke the bound function immediately, rather it returns a new function we can run later.

Why do we need to explicitly change the context?

1. When we need to call a function defined inside an object say xbut on other objects say ywe can use explicit methods to do so, to increase reusability.

2. Currying and partial application is another part where explicitly change in context is used.

3. To make utility functions like

4. Inheritance is another place where the explicit change of context can be used.

What are the cases where we need to take care of context?

We may lose the context i.e getting an undefined value for this in

1. Nested Functions

We need to keep the context of the obj object referenced for when the callback function is called, in the above, that does not happen and we get the error.

We can get rid of the above error by replacing the exec code with below:

// use of bind
exec: function () {
    this.f2(function () {
        this.f1();
    }.bind(this));
}
// use of arrow function
exec: function () {
    this.f2(() => {
        this.f1();
    });
}
// another way not recommended though
exec: function () {
   var that = this;
    this.f2(() => {
        that.f1();
    });
}

src: https://towardsdatascience.com/javascript-context-this-keyword-9a78a19d5786