Top 10 Active Trader's Perspectives (https://t.co/aF4t9VvTnU recap) 2026.5.18 1. Ye Su (@allen_su1024)【AI investing framework】 Core idea: Ye Su lays out an AI investment framework built around worldview, physical bottlenecks, and sequential beneficiaries — not just chasing the most obvious chip winners. Why it matters: His view is that AI investing is moving from the first-order Nvidia/chip trade into broader infrastructure, energy, supply-chain constraints, and even “forgotten” assets like Intel. The key is to identify where the next bottleneck appears, then map who benefits before the market fully prices it in. Original: https://t.co/PI3P812vtI 2. AB Kuai.Dong (@_forab)【Shenzhen hardware edge】 Core idea: AB Kuai.Dong shares lessons from an American hardware founder’s eight weeks in Shenzhen: hardware startups should go there early, learn supplier lead times, explore Huaqiangbei, and build relationships carefully. Why it matters: The takeaway is that Shenzhen is not just a low-cost manufacturing base — it is an execution advantage. For hardware founders, proximity to suppliers, parts markets, and fast iteration loops can compress learning cycles that would take months elsewhere. Original: https://t.co/Ta3B4U2shK 3. Serenity (@aleabitoreddit)【CPO bottleneck watch】 Core idea: Serenity expects major FAU and component bottlenecks next year as Nvidia and TSMC-led CPO architectures begin scaling. Why it matters: The broader point is that AI supply-chain bottlenecks keep migrating: what looks like a “commodity” layer can suddenly become scarce when architecture shifts. If CPO ramps faster than expected, front-end components and optical supply-chain names may become the next constraint trade. Original: https://t.co/0nHfVZaQM8 4. DFarmer (@ogdfarmer)【ETH platform vs coin】 Core idea: DFarmer argues that Ethereum’s weakness is striking, calling it a “great platform and a shit coin.” Why it matters: The distinction matters: traders can respect Ethereum’s developer ecosystem while still questioning ETH as an investment asset. His positioning — short BTC/ETH while staying allocated to AI coins and NFTs — reflects a market view that crypto beta may underperform more narrative-specific risk assets. Original: https://t.co/02wEODS0jR 5. 0xSun (@0xsunnft)【Trade logic over ego】 Core idea: 0xSun says strong traders are deeply confident, but the real skill is making more when right and losing less when wrong. Why it matters: His framework is practical: every trade needs a clear entry logic, exit plan, and strict risk control. He also separates strategy by capital size — smaller accounts can take higher-risk shots, medium accounts should avoid over-shorting meme-heavy markets, while larger capital should favor liquid, trending markets like AI equities. Original: https://t.co/cyxPyzsl7h 6. Timo (@timotimo007)【Cerebras IPO FOMO】 Core idea: Timo highlights the explosive demand around Cerebras (CBRS), with pricing reportedly jumping from early levels to a much higher pre-market valuation, helped by its AI chip positioning and OpenAI order flow. Why it matters: The post captures how intense the U.S. AI equity frenzy has become. It also shows why platforms offering early exposure or price discovery for pre-IPO / newly listed AI assets can attract crypto-native traders looking for the next narrative trade. Original: https://t.co/N9Rco2LaCa 7. Ignas | DeFi (@defiignas)【Pre-TGE / pre-IPO PMF】 Core idea: Ignas argues that crypto has found real product-market fit in pre-TGE and pre-IPO tokens. Why it matters: This use case gives retail earlier access, brings private-market speculation on-chain, and can generate volume, fees, and TVL for DeFi. If on-chain markets start leading price discovery for private assets, crypto’s role expands beyond token launches into a broader capital-markets layer. Original: https://t.co/7E0G2KENG6 8. Hasu (@hasufl)【Instant RWA redemption】 Core idea: Hasu highlights Grove Labs’ Basin, an instant redemption facility for RWAs starting with T-bills. Why it matters: The core innovation is reducing the friction of T+1 to T+3 settlement by offering immediate stablecoin liquidity. For RWA issuers and DeFi users, faster redemption makes tokenized traditional assets more usable as real collateral, liquidity, and treasury infrastructure. Original: https://t.co/9XBKIyNZDT 9. Yuyue (@yuyue_chris)【Ethereum value-trap critique】 Core idea: Yuyue calls Ethereum a “middle-class succubus” and frames it as a trap for people who want a logical, respectable crypto asset. Why it matters: His critique attacks ETH’s investment narrative rather than its technical relevance. In his view, Ethereum looks intellectually sound but has not produced enough real-world utility to justify the “value coin” status many investors assign to it. Original: https://t.co/xoKwrylQDG 10. Route 2 FI (@route2fi)【K-shaped economy pressure】 Core idea: Route 2 FI describes the pressure of a K-shaped economy, where even educated professionals face rising costs and stagnant salaries while a smaller group compounds wealth rapidly. Why it matters: This macro backdrop helps explain why risk-taking, speculation, and alternative assets remain attractive despite volatility. When traditional career paths feel less reliable, people search harder for asymmetric upside — whether in equities, crypto, private markets, or side hustles. Original: https://t.co/sh4R75Ne4Q