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【予約受付開始】 2024/05/26 #Mpro撮影会# の抽選を開始いたします。 ▼抽選フォームはこちら▼ 撮影会場につきましては博多区内となります。後日ポストにてお知らせいたします。 ※ご質問等なんでもお問い合わせ下さい お問い合わせはこちら▼ projectm.0128@gmail.com

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 :

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)

Day 275 of tagging @cz_binance, @Leonard_Aster, and @Aster_DEX about $ASTER. As usual, $ASTER is doing it thing. I know some people will say $BTC is dumping and so, $ASTER is dumping along it. My question is, what was $ASTER doing when $BTC, $HYPE and $LIT was pumping? I’m seeing a lot of $ASTER traders/ investors tell me they’re pivoting to other assets. Do I blame them? NO. 1 year is enough for a project to show how serious they are, if they really want to grow. Bottom line is $ASTER has been a bad investment, there’s no sugarcoating it.

Another major arrangement that I expect Quant ($QNT) will announce an official partnership with in the coming months is Project Agora. Agora is multi-currency shared platform for wholesale cross-border payments by France, Japan, Korea, Mexico, Switzerland, the UK, and the US. Also involved are HSBC, Citi, JPMorgan, Santander, Deutsche Bank, the BIS, SWIFT, Visa, and Mastercard.