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New on ScreNearly 🧾 Shore launches (beta) Shore tokens are now screened too, same rules as Nearly: • verdicts + dev buy • dev holdings, Intents wallets included • market cap Switch at the top. Thanks for the idea 🙏 Next up: nearpadfamily 👀
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TRON will ring the closing bell at @Cboe Global Markets' trading floor in Chicago today, September 29, to celebrate the listing of TRXS, an exchange-traded product offering staked exposure to TRX, the native token of the TRON network. The milestone reflects the TRON network's growing adoption across traditional financial markets, with TRXS giving institutions access to TRX through participating brokerages. More details @TheBlockCo 👇
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China pork prices, second week of September 2026: Live hogs: ¥11.54/kg (down 0.4% week on week) Pork at farmers' markets: ¥21.22/kg (flat) Pork at wholesale: ¥16.28/kg, down 17.4% year on year Cheaper pork for consumers, tighter margins for farmers. Officials expect prices to move in a narrow range in the short term, as cooler weather lifts demand while some farms speed up sales. Source: China Ministry of Agriculture and Rural Affairs (monitoring of 500 county markets and 200 wholesale markets) #hogs# #pork# #agriculture#
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OTC Trading is live on Aster. If you already have a counterparty and a price in mind, you can now execute the trade on Aster. Agree the terms directly, create a Deal Code, and share it with your counterparty to accept. Once both sides sign, the positions open at the agreed price without touching the order book. Starting with BTCUSDT. More markets to follow. Full details:
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This is how HOUND smells a market. Market data enters as raw signal. HOUND normalizes it into a feature vector, projects it across 32 synthetic odor channels, activates 971 receptor slots, generates a scent fingerprint, compares it against memory, then decides what deserves attention. Market data → Feature encoding → Synthetic odor → 971 receptors → Scent fingerprint → Memory → HOUND response. The point is not to predict the next candle. It is to give market behavior another sensory representation, so changes, similarities and unfamiliar patterns become easier to notice. Try here :
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#QNT# is about to explode into a massive exponential fractal that’s going to change the way we see the crypto market GV hushing all the $QNT haters
"I want to hold your hand, trading simple harmony with the breeze..." 🍃🎸 Unwinding with Jay Chou’s timeless acoustic masterpiece—"Simple Love" (简单爱). In a noisy, hyper-automated market, pure human authenticity is the rarest asset. Trade the systemic noise for acoustic clarity. Happy Tuesday fam! ☕️🌿 我想大声宣布对你的依恋,带你骑单车,看日落,看经典的黑白片。 在这个热闹也焦虑的周二大盘里,工具在红海里卷虚假繁荣,而顶层的巨鲸早已在极致的原创旋律里种桃种李种春风。 关掉复杂的内耗公式,用木吉他的洒脱节奏给灵魂充饱蓄能的元气。 回关锁紧新进场的53位大蓝标战友,咱们顶峰见!🤝🔥 #AcousticCover# #JayChou# #长期主义# #能量管理#
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Why Tokenization Could Be the Most Important Economic Innovation of Our Lifetime | Bruce Fenton @BruceFenton is a longtime Bitcoin advocate since 2012, securities professional, and one of the early pioneers of tokenized securities. He is the founder and CEO of Chainstone Labs and founder of Atlantic Financial. Alongside Overstock founder @PatrickByrne, Bruce was involved in some of the earliest efforts to bring securities and financial-market infrastructure onto blockchain rails. In 2018, he tokenized equity in his own company, Chainstone Labs, on the Ravencoin blockchain—years before tokenization became one of Wall Street’s biggest narratives. In this episode, Bruce breaks down naked short selling, the plumbing behind traditional securities markets, and why he believes much of the problem is ultimately a ledger problem. We dive into questions such as: Who actually owns the stocks sitting in your brokerage account? How can shares be lent and rehypothecated? What role do brokers, clearing firms, DTCC, and Cede & Co. play in determining who owns what? And could blockchain replace an opaque system of claims and intermediaries with a transparent ledger showing exactly where an asset is and who owns it? We unpack what “tokenized stocks” actually means—and the important distinction between a token that simply gives you exposure to a stock’s price and a security issued natively onchain, where the token itself represents the actual share and the ownership rights that come with it. Bruce discusses how tokenization could allow smaller businesses to tokenize ownership and have their stock traded globally without needing to be listed on a traditional exchange like the NYSE, as well as what a future without KYC could look like. Finally, we get into Wall Street’s embrace of tokenization, the SEC’s evolving approach to tokenized securities, and one of the biggest questions surrounding the future of this technology: who ultimately controls these new financial rails? Remember to subscribe and hit the bell “🔔” icon to get notifications 0:00 Bruce Fenton & Patrick Byrne: Pioneers of Tokenized Securities 3:36 Naked Short Selling Explained 6:28 Who Actually Owns the Stocks in Your Brokerage Account? 12:00 Tokenization Solves Wall Street’s “Ledger Problem” 15:48 What Are You Actually Buying With Robinhood’s Tokenized Stocks? 16:48 Real Tokenized Stocks: When the Token IS the Share 21:46 Tokenization Could Open U.S. Markets to the Entire World 22:52 Why Companies May No Longer Need the NYSE 26:29 Could Tokenized Markets Exist Without KYC? 29:31 Bruce Tokenized Equity on Ravencoin in 2018 30:53 Will Blockchain Make Clearing Houses & DTCC Obsolete? 33:17 Could Tokenization Have Prevented the GameStop Crisis? 38:19 Wall Street Is Embracing Tokenization — Who Gets the Power? 40:20 The SEC’s New Tokenized Securities “Innovation Exemption” 42:57 Why Robinhood’s Tokenized Stocks Don’t Qualify 47:01 Could Everything Eventually Be Tokenized? 51:02 The Dystopian Side of Tokenization: Surveillance & Asset Seizure
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Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)
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BNB Chain is already home to one of the largest user bases in crypto with rapid growth across stablecoins and RWAs. Today, we’re welcoming @thomasxchen as our Chief Business Officer as BNB Chain deepens its focus on institutions, capital and onchain market activity. Thomas brings deep experience across traditional finance and digital assets, with a strong track record building institutional businesses across capital markets, custody, trading and growth. At BNB Chain, his focus is clear: bring more institutions and capital onchain, deepen liquidity, grow volume and strengthen long-term value across the ecosystem. Welcome to BNB Chain, Thomas. Let’s keep building.
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