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We're going live on YouTube 🔴 Join us Friday, July 23 for a close-up look at the new LiberNovo lineup, Maxis and the Omni series. We'll break down what makes each build different, take your questions live, and get into the launch pricing while it's on. Set a reminder and bring your questions. 📅 Fri, July 23 · 9 AM PDT ▶️ Live on YouTube 🎁 Join our giveaway for a chance to win big prizes: 👉 #LiberNovo# #Maxis# #LiveStream# #ErgonomicChair# #giveaway#

We're going live on YouTube 🔴 Join us Friday, July 24 for a close-up look at the new LiberNovo lineup, Maxis and the Omni series. We'll break down what makes each build different, take your questions live, and get into the launch pricing while it's on. Set a reminder and bring your questions. 📅 Fri, July 24 · 9 AM PDT ▶️ Live on YouTube 🎁 Join our giveaway for a chance to win big prizes: 👉 #LiberNovo# #Maxis# #LiveStream# #ErgonomicChair# #giveaway#

Is Maxis too much chair for someone tall but lean? We ran it side by side with Omni Pro to find out. At 6'3", our reviewer sits at the very top of Omni Pro's 5'0" to 6'1" range. Switching to Maxis, the fit difference was immediate: - A 52 cm seat depth that actually supports the thighs - More backrest coverage, so you sit in the chair rather than on top of it - A neck rest that travels to meet your neck, instead of a headrest that stops at the shoulders Maxis doesn't feel oversized. The support simply reaches where a taller frame needs it. Built for bigger, taller frames, without the bulk. ⏰Super Early Bird pricing ends July 31. 👉 #LiberNovo# #Maxis# #ErgonomicChair#

【本日発売】最高峰、ついに登場。 細部までこだわり抜いた、妥協なき設計。 フラッグシップモデル「LiberNovo Omni Pro」を はじめとする新製品が本日より正式発売となります！ あなたのパフォーマンスを、頂点へ。 革新的な機能で皆様のデスクワークを支えます。 ・電動ランバーサポート ・全身の動きに追従するダイナミックサポート ・電動で背中をほぐす「Omniストレッチ」 ・ファン内蔵「AirFlowモード」で一日中さらっと快適 ・5段階リクライニング（最大160°） 🎁 さらにOmni Proなどの新製品は 7月31日まで発売記念特別価格でご購入いただけます！ ・ Omni Pro（電動フラッグシップ） 特別価格：143,089円〜（通常：229,000円） ・ Omni SE（手動調整コスパモデル） 特別価格：85,859円〜（通常：149,000円） ・ Maxis Airflow（座面52cm・大柄な体型向け） 特別価格：186,009円〜（通常：331,800円） 2026年最安値を保証。今年最大のお得をあなたに✨

🚨 "Maybe some of the Bitcoin OG might not like it, but we still support some kind of innovations on chain." Ex-startup founder Felix Fan, now @TrustWallet CEO, tells @_dsencil why 200M users and #3# BTC volume put Trust at odds with maxis 🏦 👀 @consensus2026

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)

Manual yield farming is a headache. you deposit into a pool, check back two days later, the apy dropped by half, rewards are sitting unharvested, and gas fees eat whatever you made. Introducing HelixMind. An autonomous ai agent that manages and compounds your defi positions while you sleep what it does: 1. Auto compounding on autopilot: No more manual harvesting. it tracks your rewards, claims them, and re stakes them back into your principal automatically to maximize compounding 2. smart rebalancing: when pool yields drop or risk spikes, the agent rotates your funds into better opportunities without you lifting a finger 3. manage with prompts: just type what you want: "move 30% of my rewards into stables". "find the best low-risk usdc yield". PUT YOUR PORTFOLIO ON AUTOPILOT.