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Jay - Web3 Builder
2023年3月27日
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AI とブロックチェーンは、現在最も有望で強力なテクノロジーの 2 つです。どちらも独立して重要な技術革命を引き起こしましたが、AI とブロックチェーンの統合については議論の余地があります。
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BULLY84
2023年3月27日
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I bwlive the AI that is running binance is just out dat3d binance need to go with 360 pro this just can't s33m to keep up .
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Here’s a concise breakdown comparing deflationary, inflationary, and fixed-supply token models—and their impact on crypto projects: 1️⃣ Deflationary Tokens (Scarcity Play) Mechanism: Supply decreases over time (via burns, buybacks, etc.), often paired with demand-generating utilities (staking, fees, etc.). Examples: BTC (post-halving supply squeeze), BNB (quarterly burns), ETH (post-EIP-1559 fee burns). -Pros: Scarcity drives price appreciation if demand holds, incentivizes holding, combats sell pressure. -Cons: Risk of over-speculation (burns ≠ intrinsic value), liquidity challenges if supply shrinks too fast. 2️⃣ Inflationary Tokens (Growth Play) Mechanism: Supply increases over time (emissions, rewards, etc.) to fund ecosystems, reward users, or maintain liquidity. Examples: DOGE (uncapped supply), SOL (inflationary staking rewards), DeFi farming tokens (e.g., SUSHI, CAKE). -Pros: Funds protocol growth (developer incentives, liquidity mining), encourages participation (staking, farming), offers flexible monetary policy. -Cons: Dilution risk if demand doesn’t match supply, requires high utility to sustain value. 3️⃣ Fixed-Supply Tokens (Predictability Play) Mechanism: Total supply capped at launch (no minting or burning), relies purely on demand dynamics. Examples: LTC (84M cap), XRP (100B fixed, but escrowed releases), memecoins (e.g., SHIB’s 589T fixed supply). -Pros: Transparent, predictable economics, no dilution concerns, simpler for regulatory compliance. -Cons: Inflexible (can’t adjust to market needs), risks stagnation without utility. Which Model Wins? Store of value: Deflationary (BTC, ETH). Ecosystem growth: Inflationary (SOL, DeFi tokens). Compliance/niche use: Fixed-supply (XRP, memecoins). Wildcard: Hybrid models (e.g., ETH’s burn + staking rewards) are gaining traction. Thoughts? Which model do you think works best long-term?
3月29日
what are the meme you like in this?
3月29日
🚀 Memes: The Atomic Weapon of Crypto Growth Forget billboards and press releases—memes are the real growth engine of web3. Here’s why they’re unstoppable: 1/ Memes = Community on Steroids $DOGE went from joke to top 10 crypto purely on meme power. @pepe flipped "serious" projects with zero utility but max vibes. @TurboToadToken (a meme coin about memes) did a 1000x on pure culture. @KCOBRADAO grown by an astonishing 164x within 3 day by launching the first burn to earn meme. Lesson: A strong meme is a use case. 2/ They Shortcut Trust Traditional marketing takes years to build credibility. Memes do it in seconds: "GM" culture turned into a billion-dollar social habit. "WAGMI" became the battle cry of bull markets. "NGMI" destroyed more bad projects than any audit firm. 3/ Memes Move Markets When "Sell the News" trends, prices actually dump. A single viral Wojak can flip sentiment overnight. NFT projects live or die by meme velocity. 4/ The Meme Economy is Real Salaries for meme strategists now hit $150K+ at top projects. VCs secretly hire shit posters to boost their portfolios. Farcaster, https://t.co/YiNrPRQLKP—built on meme-first engagement. The Future? Meme-to-Earn We’re entering an era where: The best marketers are meme lords. Community coins > "fundamentals" coins. Viralability = the new scalability. Bottom line: If you’re not memeing, you’re not competing. (Drop your hottest crypto meme below. Best one gets a shameless retweet.) #Memecoins #CryptoTwitter #WAGMI #MemeMarketing #Degens @KCOBRADAO
3月28日
Why not ?
3月28日
🚀 Crypto VC Trends Revealed: Where the Smart Money is Flowing (And What’s Being Overlooked) 12 top crypto VCs (managing $50B+ combined) to uncover where institutional capital is moving. The patterns reveal a strategic long-game—but also a glaring gap that could be your opportunity. 1/ AI x Crypto is the New Meta (14-22% of Portfolios) Top backers: HashKey, Delphi, Pantera, Spartan, Dragonfly AI agents paying gas fees in crypto Decentralized GPU marketplaces (e.g., Render, Akash) ZK-proofs for verifiable AI models Why it matters: VCs are hedging the two biggest tech narratives of the decade. 2/ Builders > Consumers (Infrastructure Dominates) Dev tools (14-23%): Paradigm, Dragonfly backing "AWS for Web3" stacks Data (9-17%): VanEck, Coinbase investing in oracles & indexers L2s (10-19%): Polychain, HashKey doubling down on scaling The message: "We’re still laying rails." 3/ DePIN is Quietly Winning (12-26%) Multicoin’s 26% allocation leads the charge, with VanEck/Delphi close behind. Decentralized physical infra (WiFi, sensors, energy grids) Projects like Helium, Hivemapper, peaq Sleeper potential: Real-world use cases = easier adoption. 4/ Institutions Want Stability (Stablecoins + Payments: 6-17%) Polychain/Dragonfly betting on stablecoin protocols Multicoin, Circle pushing crypto-native payments Sign: TradFi wants crypto’s efficiency… without volatility. The Critical Insight: The Retail Gap Only 6-7% of VC $ targets consumer apps. Opportunity hiding in plain sight: Infrastructure is getting crowded, but apps that onboard normies are underserved. Think: SocialFi (Farcaster, https://t.co/YiNrPRQLKP clones) One-click DeFi (Robinhood for web3) "Stripe for crypto" onboarding 🔥 The Big Question Which overlooked use case will explode when infrastructure matures? A) Gaming x DePIN (decentralized asset ownership + real-world rewards) B) Crypto-native ads (pay users for attention, not platforms) C) Enterprise DAOs (onchain coordination for businesses) #Crypto #VC #DePIN #AI #Web3 #Investing
3月26日
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