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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)

HOT TOPIC: The $6.4B options bomb is armed 💣 81,700 bitcoin:native contracts expire Friday. Calls outnumber puts by 20%, over $500M sits within 5% of spot, and max pain lurks at $68K. Pin at $80K, breakout, or a slide? 👇

HOT TOPIC: The 50 week MA just said no at $81K 🛑 Once reclaimed, this line confirmed 11 of 13 bitcoin:native bottoms. Yet big names still call for $50K, and the sellers at $81K were real. Bull trap or breakout loading? 👇

他是自营交易公司Breakout的联合创始人Mayne，就是被Kraken交易所收购的那个，最近他就公开了自己专门用在币圈的交易系统。 结构加OTE波段模型。OTE是最佳交易入场的意思～ 这是他把复杂的ICT理论简化成了一套任何人都能学、能用、能重复的交易流程！！

This week in Trader’s Insight, oil takes center stage 🔍 A breakout from the descending trendline has put the $86–$87 zone in focus, while geopolitical developments continue to influence market volatility 📊 Invest smart and do your own research 🧐

Did you know Calendly founder Tope Awotona had already tried several business ideas before Calendly? Those earlier ventures did not become breakout successes, but they were far from wasted 🔥 Each attempt exposed him to different customers, different problems, and different lessons about what people truly valued. Many first-time founders treat an unsuccessful idea as proof they are not cut out for entrepreneurship. One disappointing launch or failed experiment becomes a verdict on their ability instead of another step in developing it 🤯 But the real value of an early business idea is often what it teaches you. Every experiment helps you better understand customer pain, buying behaviour, market timing, and the kinds of problems people are genuinely willing to pay to solve. 💡 After every business venture you tried, ask yourself: → What surprised me? → How did customers actually respond? → What would I do differently next time? Then carry those lessons into your next idea instead of starting from zero again. Every thoughtful experiment makes you a more capable founder. Over time, those lessons improve your judgement, sharpen your decisions, and increase your chances of building the business that finally takes off. As always, keep going and growing. 👉 Follow @bMightie for more founder intelligence for solo founders and bootstrapped businesses on the journey from day zero to takeoff. #founderstory# #startupstory# #founderjourney# #founderlife#

$14,187.79 secured on Bitcoin by simply waiting for the perfect setup. 📈 This trader ignored the panic during a massive liquidity sweep and patiently entered on a clean inside bar breakout. 🎯

ESPN released their 32 breakout NFL candidates with #Commanders# WR Terry McLaurin being named: “McLaurin was seventh in yards per route last season (2.56) but 18th in targets per route run. Only 16.8% of his yards came after the catch -- 100th in the NFL! If he starts getting the Amon-Ra St. Brown treatment with motions, slot alignments and funneled targets on third downs or in the red zone, he could post career-best marks in receptions, receiving yards and touchdowns.”