Interview with Former Binance Listing Team Manager: A Gatekeeper’s Real-World View of the Crypto Industry After Reviewing 2,000 Projects
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Interview with Former Binance Listing Team Manager: A Gatekeeper’s Real-World View of the Crypto Industry After Reviewing 2,000 Projects
The cryptocurrency market is a “no-acting-required” financial battlefield, rife with liquidity games and market maker manipulation.
Navigating Web3 tides with focused insightsCompiled by: TechFlow
Guest: Chase, former Binance Listing Manager
Podcast Source: Class Representative LIZHENG
Original Title: Is Bitcoin Manipulated? A Former Exchange Executive Reveals How “Whales” Declare Sovereignty Over the World
Air Date: February 10, 2026
Guest Profile: Chase, former Binance Listing Manager. During his tenure, he reviewed approximately 1,000–2,000 projects and personally oversaw token launches (“Launches”) for roughly 100 projects. The high quality of his review data reflects a top-tier industry perspective.
Core Insight: He views the cryptocurrency space—particularly exchange environments—as a “no-acting-required” financial battlefield. Unlike equities markets, which still cloak themselves in financial reporting, crypto is dominated by liquidity games and market maker manipulation. He has observed that Bitcoin’s candlestick charts can be artificially drawn into “perfect” formations by whales to assert control. In this market, information, traffic, attention, and even insider information are assets in their own right; as long as there is liquidity, anything can be priced.
Key Insights Summary
- Macroeconomics and Crypto Valuation Logic
• The Truth Behind the U.S. Equity Bull Market: Since the dot-com bubble, the S&P 500 has remained in a long-term bull market—but measured against gold, this may not hold true. The core driver is continuous expansion of money supply.
• Asset Price Support: Newly created money must find asset vehicles. Real economic output (GDP) cannot keep pace with monetary and credit expansion; excess capital, beyond fueling bubbles, must flow into new asset classes. Cryptocurrencies—due to their low-cost issuance and lack of centralized verification—have become an ideal vessel for absorbing global excess liquidity.
• Crypto Valuation Framework: Unlike traditional finance, which relies on cash flows, short-to-medium-term crypto asset performance hinges on three pillars:
1. Liquidity
2. Traffic/Attention
3. Tokenomics (Token Distribution Structure)
- Market Manipulation and the “Whale” Mindset
• Can Bitcoin Be Manipulated?: Yes. Chase once observed Bitcoin rising nearly identically in both magnitude and volume for seven consecutive days, followed by a sharp collapse. This was not natural volatility but rather a coordinated signal from large capital groups (whales/market makers): “I control the rhythm—those who understand, follow; those who don’t, get rekt.”
• Everything Can Be Priced: In crypto, information, traffic, and even insider information (e.g., Polymarket prediction markets) can be assetized. When broad consensus forms, it often signals the precise moment for reversal and profit-taking.
• A “No-Acting-Required” Market: Exchanges like Binance vividly demonstrate raw, unvarnished trading. While value-oriented participants exist, most are market makers who see through liquidity dynamics and prioritize short-term gains—a truly “no-acting-required” financial battlefield.
- Frontier Trend: AI Agents and Crypto Convergence
• The Measurement Challenge of AI: Future AI agent economies will dwarf human-scale activity, yet existing GDP frameworks cannot capture micro-transactions (e.g., API calls, data exchanges).
• Crypto as Infrastructure: Crypto is uniquely suited as financial infrastructure for AI. It enables precise, per-transaction measurement and settlement without cumbersome banking trust mechanisms. Crypto may ultimately be built *for* AI—not for humans.
- Industry Insider Knowledge and Wealth Opportunities
• The Lucrative Stablecoin Business: Tron hosts a massive share of USDT. Tether’s annual profit (~$15 billion) exceeds the combined losses of OpenAI and Anthropic. This risk-free arbitrage—based on U.S. Treasury bill yield spreads—is the industry’s true “cash cow.”
• Capital Equality: Crypto’s greatest transformation of production relations lies in “capital equality.” Regardless of identity, funds meeting standardized criteria earn equal returns (e.g., DeFi yields), dismantling traditional banks’ tiered treatment of retail vs. high-net-worth clients.
• Career Advice:
◦ On Getting Rich Quick: The industry does offer abundant “spiritual energy”—a diligent newcomer (e.g., claiming airdrops) may outearn traditional manufacturing jobs. But outsized wealth inevitably flows to “Golden Core cultivators” (top-tier players) or gets redistributed.
◦ Advice for Newcomers: First master two fundamentals—Bitcoin (as portfolio allocation) and stablecoins (as payment-system disruption). Look beyond speculation to opportunities arising from payment infrastructure transformation.
◦ 2026 Outlook: Bitcoin will rise—but likely in unexpected ways, via pricing information itself and liquidity-driven games.
Opening & Guest Introduction: The Power of a Binance Listing Manager
Class Representative: Hello everyone, welcome Chase—an enigmatic, high-influence figure in crypto—to our show. Chase, please introduce yourself.
Chase: Hi everyone! “High-influence” used to be accurate—I’m now retired, haha. I’ve left my post to pursue personal dreams, giving up immense authority. Hi, I’m Chase—just as the Class Representative mentioned, my most recent role was Listing Manager at Binance, the world’s largest cryptocurrency exchange. My job involved helping founders mint their tokens. During my tenure, Binance’s annual trading volume reached Nasdaq-level scale—so the sheer size is undeniable.
Class Representative: Let me unpack your role for listeners. Founders launch tokens, but listing them on Binance—the Nasdaq-scale exchange—requires your team’s approval. Think of it as analogous to the SEC deciding whether a company can go public. So founders highly value your input… hah!
Chase: Functionally similar, yes—but legally, that comparison doesn’t hold.
Class Representative: Got it. How large is your team—and what was your exact role?
Chase: We were about a dozen people. My official title was Listing Building Manager. At one point, four of us handled external outreach—answering questions, guiding founders, advising step-by-step on requirements (A/B/C/D). That was the scope.
Class Representative: Wow—your background reveals several critical points. First, you’ve reviewed more crypto projects than almost anyone on Earth—that’s your day job. Second, you wielded real power—no need to shy away from that, especially since you’re now departing, eliminating any conflict of interest. Founders deeply value your judgment, granting you access to first-hand, authentic insights and resources. Third, part of your work involved engaging the broader industry, shaping your own informed perspectives. These facets define your unique positioning. So—what would you like to share with our audience today?
Chase: What I can best share is how all that data shaped my mental model. And my data is high-quality—not garbage. I can honestly deliver near-top-tier data. From joining Binance until late 2025—roughly two-and-a-half years—I reviewed over 1,000, approaching 2,000 projects. Last year alone, I supported ~100 projects in successfully launching tokens.
Class Representative: Help us grasp the scale behind these numbers—both project reviews and launches.
Chase: Project reviews mirror VC diligence: reviewing decks, assessing teams, conducting calls, making judgments. A top VC reviewing 200 projects annually is impressive. Yet in just over two years, I reviewed >1,000—and launched 100 last year alone. To contextualize: when I joined, Binance listed ~20–30 tokens annually; the next year, ~50–60; in 2025, I personally launched 100. With the bull market, total listings reached ~250–300.
Class Representative: So you accounted for nearly half the listings.
Chase: Roughly one-third. We had only four people total. Our selection success rate hovered around 5–10%.
A Crypto Worldview: The Tertiary Sector & AI Infrastructure
Chase: Let me first help decode this world for newcomers. Think of crypto as a virtual economy with its own self-sustaining cycle. If treated as a nation, it relies on dollars for liquidity—but its sole export is services: pure tertiary-sector output. Its “primary sector”—its agriculture—requires computing power and electricity.
Class Representative: What does “exporting tertiary services” mean? We often joke about buying pizza with Bitcoin—but that’s not it, right?
Chase: Why “tertiary”? Though Bitcoin commands ~50–60% market cap, it’s not the industry’s core engine. It serves as a value store—but offers limited service utility. Value storage = liquidity support. True “tertiary” innovation emerged with Ethereum: smart contracts enabled disruptive applications like DeFi, challenging traditional finance. The SEC reportedly anticipates mainstream Wall Street institutions going on-chain within 2026–2027.
Class Representative: On DeFi—we previously hosted Richard Youzhong (Huma Finance founder), who described enabling trade finance for existing companies: reducing friction in FX conversion and lending, delivering clear value to non-crypto businesses.
Chase: Exactly.
Class Representative: Could you outline other key value-creation areas?
Chase: You’ve covered external service delivery well. But crypto has unique internal capabilities—like flash loans. Most haven’t heard of them. Traditional bank loans require collateral or stellar credit scores. Flash loans let you borrow *without* collateral—and *zero risk* to lenders. They enable virtually all crypto-based payments.
Chase: Most importantly—and what I’ll soon write a paper on—is AI integration. Suppose, in five years, AI agents surpass human population under current scaling laws. How do we *measure* their economic interactions? Subscriptions? Fine. But what about one-off API calls using proprietary data—tiny transactions banks can’t settle? All such activity must first be *measured*, then universally *trusted*. Crypto enables precisely this—and explains why insiders increasingly view it as infrastructure *for AI*, not humans.
Class Representative: Youzhong said something memorable: “AI is productivity; crypto is production relations.”
Chase: Crypto embodies both productivity *and* production relations—but its transformative power lies in reshaping relations. Broadly speaking, it introduces “capital equality”: if you live in mainland China, Alipay and Yu’ebao make interest automatic. In North America or Europe, you’d need a bank account with thresholds and minimal rates. Crypto flattens this globally: money is money—if it meets standards, returns are equal regardless of who owns it.
Macro Perspective: U.S. Equities, Gold, and Monetary Illusion
Class Representative: Payment systems are clearly huge—and crypto delivers major value here. Capital equality is another major value proposition. Any others?
Chase: More pragmatically: crypto helps absorb excess liquidity from overprinting nations—without triggering inflation.
Class Representative: So it’s a value store. How does it differ fundamentally from gold?
Chase: Excellent question. Check the link I shared—it includes a chart. First: from the dot-com bubble to now, is the U.S. equity market bearish or bullish?
Class Representative: Bullish.
Chase: Correct—S&P 500 confirms this. But gold tells a bearish story. That chart illustrates exactly that.
Class Representative: Interesting! Money printing boosted the S&P—but not enough to outpace gold’s inflation-hedging growth. So the S&P lags gold…
Chase: This comes from Lyn Alden’s famous research—I’ll share the link.
Class Representative: Fascinating! This reshapes my investment thinking. My formal economics training taught me stock prices reflect discounted future earnings—which holds some truth. But why hasn’t the “bubble” burst despite repeated predictions? Because excess money has nowhere to go. Previously, creating so much money was impossible; now it exists—and *must* flow somewhere.
Chase: Precisely. Annual goods/services growth (e.g., ~5%) pales next to monetary/credit expansion. Surplus capital either inflates bubbles or seeks new assets to price. Crypto fills this void: low-cost, permissionless asset issuance. No central authority needed to verify claims—only collective belief in value attracts liquidity to absorb excess capital.
Class Representative: Only your own verification matters beforehand.
Chase: Yes—just your own judgment.
Class Representative: Not *just* yours!
Chase: Oh—you mean *my* judgment? No, no—I’m just an employee. A humble worker bee.
Pricing Everything: Polymarket and Information Assetization
Chase: Recently, Polymarket gained traction—likely familiar to you.
Class Representative: I’ve heard of it but never explored it—I assumed it was a scam.
Chase: It first blew up during Trump’s election. Technically a prediction market—functionally, binary options. It often predicts outcomes hours before official results. Why? Because someone, somewhere, always possesses insider information.
Class Representative: Agreed.
Chase: That insider information *should* be priced—market-priced.
Class Representative: Exactly.
Chase: Polymarket is precisely that pricing mechanism.
Class Representative: Okay—it’s not a scam. Makes perfect sense. Haha—one sentence convinced me.
Chase: Haha—exactly what happened. I know the founder well—we dine and drink regularly. Today, Polymarket exemplifies crypto’s resilience amid deglobalization. It places *all* information on a unified network—where information, traffic, ideas, and transactions all become assets. Assets with liquidity attract capital.
Measuring the AI Economy & GDP’s Irrelevance
Chase: Returning to my earlier point—why I’m writing an AI paper: agent-generated GDP/economic output will soon exceed humanity’s. Without measurement infrastructure, this is impossible. Crypto *is* that ready-made infrastructure. Yet economics academia lacks indices tracking AI agents. Today, we estimate AI’s scale via Google’s filings, OpenAI’s funding, Oracle’s data center CapEx—crude proxies at best.
Class Representative: Understood.
Chase: Applying first principles: every agent, every transaction, must be measured—precisely.
Class Representative: Let me clarify for my audience. Two core issues exist. First: AI’s intrinsic value is hard to price. OpenAI’s revenue is modest—tens of billions—but consider this: at an event, I surveyed attendees asking, “How much would you pay to buy exclusive, permanent rights to ChatGPT—banning you from all future AI?” At $100,000, one person raised their hand among ~100. At $1 million, few had raised hands. This suggests immense value—yet no measurement framework exists. Second: measuring AI’s productivity—or GDP contribution—is equally elusive.
Chase: GDP is fundamentally flawed. “Gross”? Not really—every API call is measurable. “Domestic”? AI is global. “Product”? AI outputs aren’t finished goods—they’re intermediate states. Every GDP term misrepresents AI. Hence, we need new micro-measurements—and eventually macro-indices. We’re already drafting a framework.
Class Representative: Linking macro/micro metrics is feasible—but OpenAI’s cooperation remains uncertain.
Chase: Spot on. When agent counts surge, killer apps emerge—OpenAI won’t monopolize data management. You could locally host your own agent. For complex tasks, cloud agents assist; for daily tasks, local hardware suffices. I run Qwen-31B on two MacBooks (one MacBook, one Mac mini)—data stays local, and it works brilliantly.
Bitcoin 2026 & Market Manipulation: “No-Acting-Required” Whales
Class Representative: Back to value creation—let’s talk money! Haha—what’s Bitcoin’s 2026 outlook? Up or down?
Chase: Up—definitely hitting an all-time high. But in ways you haven’t imagined.
Class Representative: Why?
Chase: Revisiting my earlier point: all information is now priceable. Anyone in crypto can be priced on this network. When consensus forms, it gets priced—and contrarians cash out. Deep, yes. If you’ve done market-making or quant trading, you know it’s always big fish eating small fish. But when the majority coalesces into consensus, they become targets—and others price that target.
Class Representative: So when everyone expects a drop, it rises instead. Why? Because believing it’ll drop is social engineering—not your personal insight, but mass psychology. This mirrors traditional stock market manipulation logic.
Chase: Exactly.
Class Representative: Can anyone manipulate Bitcoin? Isn’t its scale too vast?
Chase: Bitcoin’s market cap is ~$2–3 trillion—significant, though ~1/10th gold’s. Last February/April, its daily candlesticks rose identically in magnitude/volume for seven days—then collapsed. Such patterns signal whale dominance over supply. Someone—or a group—declared, “I control this.”
Class Representative: So they didn’t just control it—they broadcast a deliberate signal.
Chase: Yes—they want you to join. Those who “get it” join; those who don’t get rekt.
Class Representative: I’ll dig up that chart immediately!
Chase: I’ll find it too—haha! This industry is endlessly fascinating.
Class Representative: Who was behind this?
Chase: No single identifiable person—nor will we ever know. Many market makers operate here, overlapping between traditional finance and crypto. They ignore fundamentals—focusing solely on liquidity and trusted signals. Once signals converge, they trigger trades. The pattern I described? Either algorithmic traders collectively controlled liquidity—or dominant players ensured no rivals interfered. I’ll locate the exact date—it was roughly a year ago.
Class Representative: Great—I’ll find the screenshot. Moving on: Bitcoin exhibits expert-level manipulation. As you said, this enables extraction. Listeners should grasp that.
Valuation Framework: Liquidity, Attention & Tokenomics
Class Representative: Earlier, you noted Bitcoin functions as a value store—like digital gold. To make or lose big money, however, requires looking beyond Bitcoin. Gold’s value fluctuates moderately—even at all-time highs, gains may be just 30–40%. Beyond leverage trading, what else drives outsized returns?
Chase: This circles back to traditional economics: valuation-driven vs. liquidity-driven vs. fundamentals-driven moves. Crypto’s valuation differs—it rests on three pillars: liquidity, traffic/attention, and tokenomics (supply/distribution structure). These determine short-to-medium-term asset behavior. Long-term? Nobody looks at long-term.
Class Representative: How short is “short-to-medium-term”?
Chase: Typically 7 days to 3 months—sufficient to gauge trajectory. Take Richard’s project: excellent long-term fundamentals, but inexperienced token launch execution. Yet recently, they released “Defensive Loopring”—a smart contract feature enabling leveraged exposure to low-risk assets without loss. Result? ~16–17% annualized yield—highly attractive, with no meaningful capital ceiling. Deposit millions, and you’re set.
Chase: This illustrates why their token hasn’t surged: underlying fundamentals are strong, yet price gaps stem from market dynamics post-launch—beyond issuer control.
Class Representative: Right.
Chase: Market participants fall into two camps: retail investors lacking understanding, or market makers prioritizing short-term profit over intrinsic value. Hence, short-termism dominates. When should long-term investors enter? After initial speculation fades—and the token decouples from liquidity/attention noise—valuation becomes fairer. Huma’s current $300M valuation seems low; $2B feels plausible—waiting for tailwinds. The hype phase is over.
Class Representative: Exactly—speculation has ended.
Chase: Indeed—crypto trading lays bare equity markets’ hidden layers: value, trading mechanics, and manipulation—all transparently visible.
Class Representative: Yes—no pretense.
Chase: No pretense. It’s not yet classified as a security—regulatory oversight is minimal. Thus, bad actors proliferate—unavoidable for now.
Industry Figures: Sun Yuchen, Tether & Profit Realities
Class Representative: Let’s introduce someone utterly unpretentious—or perhaps perpetually performing. Like Nanlong Hou from *A Record of a Mortal’s Journey to Immortality*: a master manipulator hiding behind feigned simplicity. Sun Yuchen—“Sun the Cutter”—you surely know his lore. He’s a perfect case study: motivations are opaque—is he extracting value, genuinely wealthy, or merely projecting wealth? How do we discern truth? Share insider insights.
Chase: Insider insights… Let’s start with Nanlong Hou—he’s a descendant of Cangkun Shangren, so discretion is expected. In Wang Yu’s cultivation universe, intrigue is survival armor—even he got betrayed. As for Sun the Cutter: no personal ties, so I won’t speculate. But he’s undeniably wealthy—industry consensus. Outsiders may doubt it; insiders treat it as fact.
Class Representative: What’s the publicly verifiable evidence? On-chain addresses?
Chase: Yes—on-chain addresses. His Tron blockchain hosts the largest USDT “parking lot.” Tron and USDT enjoy symbiotic ties—at least historically. USDT prints massive volumes: ~60% (exact % TBD) resides on Tron. Tron’s TVL is $4.7B; USDT on Tron totals $80B. Context: Ethereum holds 46.77% of USDT; Tron holds 43.07%—together, ~89.8%.
Chase: Tether’s annual revenue? $15B. Pure profit approaches… OpenAI loses tens of billions yearly; Anthropic loses similar sums. Combined, their losses fall short of Tether’s revenue. Their losses don’t match Tether’s gains.
Class Representative: How does Tether earn this? Transaction fees?
Chase: No—Tether issues USDT. Mechanics: you deposit $1 → Tether buys U.S. Treasuries (T-bills) → issues you 1 USDT token. You hold a $1-equivalent token; Tether earns T-bill interest on every dollar deposited. Scale this sufficiently—current ~3.5% spread yields $15B/year.
Class Representative: Haha—Sun the Cutter is indeed rich. What’s next?
Chase: Very rich. Haha—I’m unfamiliar with Sun personally. For gossip, I’ll share links—public commentary feels inappropriate.
Wealth Distribution & the “Cultivation” Metaphor
Class Representative: Fair enough. Let’s discuss crypto’s wealth stories. Who populates this space? We’ve covered its essence, value, and transparent nature—clearly a direct trading arena. Its underlying logic is surprisingly straightforward. So—who are these people?
Chase: At crypto gatherings, female attendance is unusually high.
Class Representative: Yes—strange.
Chase: Likely “gold-diggers” dominate. (Though many excellent women exist—half my ex-colleagues were women, all outstanding.) Crypto is a self-contained world—a sovereign nation with full societal spectrum: from U.S. presidents’ families to incarcerated fraudsters. Everyone exists here.
Class Representative: As a tech-literate outsider (I own one Bitcoin but otherwise engage zero), I see acquaintances “doing Web3.” Few profit—but some master the rules, achieving explosive wealth. What proportion of practitioners truly “get it”?
Chase: Barriers are low. A diligent high schooler—especially with scientific internet access—can earn ¥10,000–¥50,000 monthly.
Class Representative: How? Trading?
Chase: Participating in new projects—airdrops, etc. It’s traffic monetization. Crypto’s liquidity/froth enables higher hourly returns than manufacturing or traditional sectors.
Class Representative: Sounds like abundant “spiritual energy.” Golden Core cultivators battle while “Qi Condensation” practitioners beg for elixirs. Haha!
Chase: Exactly. It’s not hyper-competitive. Billions seem present—but active users? Binance has ~300M registered/KYC’d users. Truly active participants? Likely under 1M.
Class Representative: Beyond begging for elixirs—what else?
Chase: Elixir-begging plus abstract pursuits—like last cycle’s NFTs: tiny images mimicking Dutch tulip mania. Many got rich overnight. Where did their money come from—and where did it go? Newcomers with similar cognition quickly achieve average income. Even sudden wealth dissipates if cognitive growth stalls—money circulates dynamically within the ecosystem. Idle money isn’t “real” money.
Chase: Hence, crypto absorbs excess liquidity without fueling real-economy inflation. Money stays in the game.
Class Representative: Like “funny money”—similar to tulips, but with more variations.
Chase: Yes—more variations. And anyone can create their own tulip—embodying capital equality.
Class Representative: What do Golden Core cultivators do?
Chase: They split into factions: value investors (like Richard), cash-flow seekers (like my ex-boss), or hacker-builders advancing FHE/ZK cryptography—truly compelling work.
Class Representative: Haha—elixir alchemists.
Chase: And highly useful. Without crypto, ZK/FHE struggle for real-world adoption—infrastructure demands are immense and uncertain. Crypto prices public goods instantly. That’s its allure.
Class Representative: Yet big money flows to traders—not builders. The “story” sounds beautiful but requires massive technical investment. How do we incentivize true technologists?
Chase: Correct.
Class Representative: Two barriers: insufficient compensation and proximity to temptation—noise, scams, and distractions threaten survival.
Chase: You articulate most people’s fears. Entering crypto carries risks—it’s still frontier territory, not fully regulated. But progress accelerates: Binance secured Abu Dhabi’s global license; compliance improves rapidly.
Advice for Newcomers: Bitcoin & Stablecoins
Chase: For individuals: discard preconceptions. Understand crypto’s purpose—why so much capital/talent floods in. It’s a high-talent, high-capital-density industry. If you don’t grasp it, the issue lies with you—not the industry. That’s why I spent eight years diving deep. Crypto welcomes youth—ignoring status, rewarding effort and genuine learning. Early earnings easily surpass entry-level salaries—especially for fresh graduates.
Class Representative: Final question: For tech professionals with accumulated savings—seeking crypto profits (not building)—what’s your 2026 advice?
Chase: Master two fundamentals first: Bitcoin (as portfolio allocation/gold proxy) and stablecoins (as payment-system disruption). I’ve predicted stablecoin payment explosions since 2024—confirmed in 2025, materializing in 2026. They’ll challenge legacy banking across C2C/B2B/B2C.
Class Representative: Stablecoins are great trading tools—but poor investments. Correct?
Chase: Not necessarily. Study Circle, Robinhood, and Coinbase—undervalued relative to stablecoin disruption potential. You can also short incumbents slow to react—deploying strategies based on information and trends.
AI Courses & Learning Methodology
Class Representative: Suddenly—I propose hosting you on Superlinear for a paid, closed-door session. Not investment advice—just sharing your research insights.
Chase: Absolutely—once I finish my AI course! Haha—I haven’t even started it yet.
Class Representative: Perfect timing. You’ve long tracked AI courses but were too busy—reviewing 1,000+ projects. Now, with your departure, you’ll dive in. Share early takeaways.
Chase: This course fits perfectly with “vibe coding.” I skip minutiae—first grasping frameworks, then identifying what *not* to do. Example: Duck Brother’s video stressed storing API keys in .env files—not uploading them. Non-engineers miss this—it needs emphasis. A “Not-To-Do” list is essential.
Class Representative: I’ll ask Duck Brother to compile that list. Have you taken “AI Era Programming Fundamentals”?
Chase: Yes—it’s highly practical. Midway through, I deployed a local agent to fetch trading data—storing it on my phone, calling APIs autonomously. Extremely useful. Future plans include building MCPs—Crypto-specific APIs.
Class Representative: These courses teach concrete skills, mindsets, and habits. Duck Brother’s unique value lies in his deep first-principles thinking—boldly declaring outdated methods wrong. Most hesitate, fearing error; he’s confident because he’s reasoned through “why.” Example: “Learning AI via frameworks is wrong”—few dare say this.
Chase: Only a decade of expertise reveals this. Duck Brother guided me—but I filled gaps through trial/error. I wrote a community article noting: free online resources waste time. This course saves days—worth every penny. I bought your courses instantly—no hesitation. For crypto natives, hundreds of dollars are trivial. That sum unlocks efficient, foundational domain mastery—priceless for investors and thinkers like me.
Future Plans: From Authority to Influence
Class Representative: Thank you! Your question: How should I maximize my domain knowledge? At your peak authority, what was the ratio of “power” to “domain knowledge”?
Chase: 2:8—power was 2.
Class Representative: Others’ perception?
Chase: Probably inverted.
Class Representative: I’d guess 99:1.
Chase: Possible. It’s normal—like a VP leaving a big tech firm, suddenly realizing “nobody cares.” I maintain a beginner’s mindset. Jumping from investing to crypto, my first job was entry-level—I don’t care about titles. I care about vision and value realization. My model ingested vast data—I want to output it. But first, people must ask the right questions; second, I need a platform for clarity.
Class Representative: What outcome maximizes your leverage? Money, influence, or something else? Relatedly: prioritizing IP vs. cash-rich ventures? Most lack both—so your dilemma implies sufficient wealth. Are you financially secure?
Chase: Not “sufficient,” but family/child concerns are manageable.
Class Representative: So—what’s your leverage-maximizing outcome?
Chase: My vision: 20–30 years of industry beta—with occasional alpha. Money? Industry growth makes fame and fortune inseparable—fame brings fortune.
Class Representative: Your situation is unique. Generic advice: knowledge monetization is ideal first entrepreneurship—non-standard, high-ticket. Standard products can’t justify your time investment (low margins). You possess rare, in-demand knowledge—this path is rational. If interested, we can collaborate on structuring it. Key: build foundational business/revenue first—then upgrade stakes.
Class Representative: Also, building your own asset is vital—one generating cash. Example: your community *is* such an asset. In crypto, what assets exist? Launching a project? Something else?
Chase: I’ll turbocharge your crypto journey—haha! But doing so now harms reputation. Crypto’s maturity phase is ideal for cashing out. Reputation matters less—I joked in a ski group: “Don’t call me YouTube guru—call me ‘course-selling demon.’” But currently, I’m focused on finishing my course—discussing this later this year.
Class Representative: Build your own asset—designed to appreciate with industry growth. Identifying the optimal asset is tricky—but you’ll have better ideas. Ordinary worlds take 5 years to build such assets; crypto accelerates this. With your AI/agent work and knowledge edge, partner strategically: find a “big brother” offering resources/backing—or a complementary peer. Both accelerate influential asset-building.
Chase: Exactly right.
Class Representative: Your vision is compelling—but risks pure influence pursuit, which may not satisfy you. Pure influence is fragile—it depreciates fast. A viral post garners shares today—but in three months? Without tangible action, it’s meaningless. You need CZ-level leadership—driving industry standards and elite collaboration.
Chase: That’s Nascent Soul Formation level.
Class Representative: A Golden Core alliance might suffice—but solo efforts falter.
Chase: Spot-on. Your two suggestions—platform or partner—are precisely what I divined.
Class Representative: Depends on personality. Platforms offer rarer, higher-leverage opportunities than partners.
Chase: It’s about serendipity. What’s bigger than Binance? A role there—then jumping elsewhere—combines platform scale and role significance.
Class Representative: Within crypto, that role is the pinnacle. But it’s not your passion.
Chase: Yes—power, fame, and fortune peaked there. But it couldn’t fulfill my ideals. Power didn’t translate to purpose.
Class Representative: Meaning: find a platform that believes in you, provides resources, and lets you pursue ideals—incrementally, not instantly.
Chase: It requires shipping a credible project. I’ll grind daily—habit-formed. Let’s schedule deeper discussions later.
Class Representative: Wonderful—thank you so much! Haha!
Chase: My pleasure—thank you!
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