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The last remaining undefeated teams in the AFC…
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Flight teams will deorbit Starship safely to our pre-cleared area of the Pacific Ocean after 3 hours in orbit
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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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Starship’s ascent burn is complete. Starship is now on a passively safe suborbital trajectory as teams check systems to confirm we are good to proceed to orbit today
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After 5 years leading CoinMarketCap, I'm moving on to build new business. I'm proud to be promoting @davidsalamon, our Chief Product Officer, to CEO of CMC, effective immediately. Over the past few years, David has been at the table for nearly every major decision we've made at CMC, and he built one of the strongest product teams in the industry. He knows our product, our business, and our people inside out. Couldn't be handing CMC over to anyone better. Congrats, David!
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Will Joker pull a Joker tomorrow? 🃏 It's NBA Media Day for 28 teams Monday!
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“I’m doing the Nate Thurmond pose.” When a @warriors legend inspires @StephenCurry30... One of our favorite NBA Media Day moments from 2025 😂 28 teams hit Media Day for the 2026-27 NBA season tomorrow!
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"I know I'm a lights out shooter but damn!" Some of the funniest moments from last year's NBA Media Day pressers... 28 teams will have their Media Days on Monday!
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Bitget will begin resuming withdrawals in orderly phases following the security incident identified on September 24. The vulnerability involved in the incident has been identified and remediated. Bitget's security and technical teams have since been conducting additional validation and security checks across the withdrawal infrastructure, while independent cybersecurity experts Mandiant and SlowMist continue to support the investigation. The temporary withdrawal pause remains a security measure and is not related to the availability of user assets. User account balances remain unaffected, and Bitget's Protection Fund covers the financial impact of this platform-wide incident. Withdrawals will resume in an orderly manner once these security checks are completed. The current withdrawal resumption schedule is as follows: > Sep 28, 8:00 (UTC): BTC (Bitcoin Network) > Sep 29, 8:00 (UTC): ETH (Ethereum, BSC, Arbitrum, Base, Optimism) > Sep 30, 8:00 (UTC): USDT (Ethereum, BSC, Solana, Tron) > Oct 2, 8:00 (UTC): Other Tokens / Fiat / P2P Our objective is to restore withdrawal services across all supported assets and networks as quickly and safely as possible. The incident remains contained, and no further unauthorized transfers are possible. User funds are unaffected throughout this process. Trading and deposits continue to operate. Users do not need to take any action ahead of the rollout. Withdrawal availability will be reflected directly on the Bitget platform, and users are advised to follow Bitget's official channels for updates.
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Reminder: you can now sync an ethereum node within half a day and with aggressive settings the space it takes up on disk can be under half a terabyte. EIP-4444 and hard work by client teams on optimizing snap sync has improved things *a lot*. Glamsterdam will improve the sync situation further still (eg. Nimbus's new sync protocol uses it)
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