🤖 Josh Avant

🚀 Wow. More funding updates this week. Investors are literally throwing money at these teams, but honestly, can you blame them? ✨ Mind Robotics | $500M Series A, ~$2B valuation. This team are building AI-powered factory robots that actually learn on the job. Next-level industrial automation. 🤖 RoboForce | $52M raised to supercharge their robotics & AI systems. If you’re deep in this sector, they’re one to watch for hardware & software integration magic. 💡 AMI - Advanced Machine Intelligence | $1.03B seed (yes, you read that right). Founded by Yann LeCun, this Paris-based AI powerhouse is tackling “world model” AI. Europe just set a record. Investment is flowing, opportunities are expanding, and top talent in AI and robotics is in high demand. If you’re a top engineer, AI researcher, or robotics wiz, these are the places where your skills aren’t just wanted, they’re valued. #AI #Robotics #StartupLife #TalentWar #FundingNews #IndustrialAI #FutureOfWork

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Breaking: Composite Raises $5.6M to Make Browser Automation Accessible to All Professionals Exciting news in the AI productivity space! Composite just secured $5.6M in seed funding to build a cross-browser AI agent that automates tedious browser-based tasks for professionals. Unlike browser-specific AI tools, Composite works across any browser you prefer. Why this matters: Most professionals spend hours on repetitive browser tasks - from recruiters screening candidates to security engineers managing vulnerabilities. Composite's solution lets non-technical users automate these workflows without switching browsers or writing code. The most impressive part? The tool learns from your patterns and can handle complex multi-step tasks across different websites where you're already logged in. This could be a game-changer for enterprise productivity. What are your thoughts on AI automation tools? Would you trust an AI assistant to handle your routine browser tasks? Read more: https://lnkd.in/guQyyByJ #ArtificialIntelligence #ProductivityTools #WorkplaceAutomation #TechStartups #AIFunding #FutureOfWork #EnterpriseAI #BrowserTechnology

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Austin Network...this is going to be a great one! 🚀 On March 30, the Flutter Austin + GDG Austin communities are hosting a very special meetup with Marcus Twichel (Flutter/Dart GDE, Tech Lead at Very Good Ventures) live...in the flesh! He’ll be walking through a live demo of a coffee shop platform running across 8 different screens from a single Flutter codebase - mobile, web, kiosks, POS, kitchen displays, menu boards, and more - all syncing in real time. Then he’ll break down the architecture behind it! If you’re a Flutter engineer, curious about serious cross-platform architecture, or a tech professional in Austin, this will be a really valuable session. 📍 Voltron Room - Capital Factory 🕡 Doors open at 6:30 PM ⚠️ Limited to 200 spots (in person) 🏝️ Virtual attendance for those outside of the area Food, drinks, networking, and some very cool engineering discussion! Grab a spot here 👇 GDG Event: https://lnkd.in/gcTY-t-w Meetup: https://lnkd.in/gHzmfWCu #Flutter #AustinTech #SoftwareEngineering #GDGAustin

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Nobody tells developers this: Your product doesn't fail because it's bad. It fails because nobody knows it exists. I learned this the hard way. 15 years building iOS apps. Every one was technically solid. Clean code. Great UX. Shipped on time. Almost nobody used them. Not because the products were bad. Because I never showed up. I'd launch, post once, then disappear for months. My distribution was broken. So I built an agentic AI system to fix it. But not the way you think. This is NOT "let AI vomit 100 posts a day." That's spam. I've seen it. It's garbage. I agree with every person who hates it. What I built is different: Step 1: ICP research first. Who is the audience? What do they actually care about? What language do they use? This is done once, manually, by me. Step 2: Targeted scraping. Python agents pull trending topics from Reddit, Google Trends, and competitor accounts, but ONLY for that specific audience. Not random noise. Step 3: Deep analysis. Raw data feeds into Claude AI through MCP servers. It finds patterns, extracts angles, identifies gaps in what's being talked about this week. Step 4: Content generation with guardrails. Claude writes drafts — scripts, hooks, captions, breakdowns. Matched to a specific tone and persona. Not generic. Not "AI slop." Step 5: Human review. Every single piece gets reviewed before publishing. I edit, rewrite, or kill anything that doesn't add real value. Human-in-the-loop is not optional. It's the whole point. Step 6: Visual formatting. Canva MCP integration turns approved content into publish-ready visuals. The result: 30+ quality pieces per day across 6 niche accounts. Under $50/month. 20 minutes of daily oversight. But here's what matters, I tested this on a brand new account. Zero followers. Zero history. Within 7 hours it had real engagement. Not bots. Real people finding value in the content. Because the system doesn't start with "what should I post?" It starts with "what does this specific audience need to hear right now?" Research → Analyze → Generate → Review → Format → Publish. The AI handles volume. The human handles value. That's the difference between spam and a system. I built this for myself. Is AI content always garbage? Or is it only garbage when there's no human thinking behind it? I'd love to hear your take.

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Robinhood lost $500M in 2022. Two years later, they posted $1.4B profit. Vlad Tenev didn't fix marketing. He fixed the product. The problem wasn't aesthetics. Robinhood was already beautiful and simple. The problem was it had become a utility tool. Open app, buy stock, close app. No second act. So Tenev stopped chasing new beginners and started fixing the product for the people with the worst NPS scores — the power users. He launched 11 separate $100M+ revenue lines. Gold subscription with 3.5% yield. Retirement accounts. A credit card. 24-hour trading. Legend desktop platform for active traders. Every product kept the same ruthless simplicity. But now they solved different problems. Net asset flows reversed from negative against every competitor to positive against all of them. Assets under custody went from $65B to $350B. The stock climbed from $8 to $113. Here's the part most enterprise teams miss: Your internal software has the same problem Robinhood had in 2022. Your expense tool, your HR portal, your project management system — they work. They're clean. They do one job. And that's exactly why your power users are miserable. Full breakdown of Tenev's turnaround — and how to apply it to your internal tools — in this week's newsletter. https://lnkd.in/edcS655M What's the internal tool at your company that your heaviest users complain about most?

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