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Will McTighe shared thisThere are 8 Claude features that are genuinely useful... but almost completely ignored. They're not hard to use or hidden away. Most people just never get shown what's past the chat box. Here's all 8 underrated features: 1/ Memory Claude can hold onto your preferences, your style, and your tone, so you stop reintroducing yourself in every chat. I set mine up once and immediately noticed how good Claude was at remembering what I'd said earlier. 2/ Custom Skills Build a repeatable prompt for research, writing, reviewing ideas, sales outreach - basically anything. I built one that proofreads content for me and my team, and it saves us hours a week. 3/ Claude Dispatch Send Claude a task from your phone and it works on your desktop while you're doing something else. Use it to pull the key numbers out of a big dataset - it'll be done before you get back to your desk. 4/ Claude in Chrome The Chrome extension lets Claude see whatever is on your current tab and work with it directly. I use it to summarize key information from websites when I'm in a rush or have a lot of research to do. 5/ Plugins Plugins bundle Skills, connectors and workflows into one, so you can manage and run anything you need in one place. Claude's /discover-brand plugin help you identify your brands' unique voice by going through all your connected apps. 6/ Extended Thinking It makes Claude slow down and reason through a problem step by step before it answers. I turn it on for any work that needs very thoughtful logic, because I can see how it got there. 7/ User Preferences You can tell Claude exactly how to talk to you, the tone, the format, the length, and it carries across every chat automatically. I adjust this every month or so as my voice and preferences change. 8/ Artifacts Ask Claude to build something - a doc, a carousel, a working app, and it appears in a side panel you can edit live instead of copying text back and forth. Start using one of these features today and you'll feel the difference by Friday. 📌 Want a high-res PDF of this sheet? Get it here: https://lnkd.in/gKzZUq-b ♻️ Repost to help your network get more out of Claude ➕ Follow me (Will McTighe) for more like this.
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Will McTighe shared thisTwo weeks ago, I was inside the Nasdaq for the largest tech IPO since Uber. Here’s what it looked like from the inside: After 10 years of incredible work, Cerebras IPO’d. If you have ever built something, you imagine a day like this as the finish line. The day your crazy idea is recognized by the world. Here is how it actually went, hour by hour. 7:30am The day started early for the CEO Andrew. In this case, on Squawk Box (CNBC). You want to tell your story to as many networks as possible - this is the day that everyone wants to talk to you and you can own a news cycle. 8:00am About 50 people from the Cerebras team gather for breakfast inside the Nasdaq. Many of them had devoted the best part of a decade working at Cerebras. Their partners, parents and kids were there too. You could see how much this meant to them. Many of the early investors were there too, like Steve Vassallo, Eric Vishria, Lior Susan and Brad Gerstner. 9:30am The Cerebras team rings the Nasdaq bell to open trading for the day. Ringing the bell opens the market for everyone else, but the company's own stock does not start trading yet. That comes later, after a lot of work behind the scenes. Once you've taken pictures, you all head out to Times Square and take pictures in front of the iconic billboards. 10:30am to 12:30pm The investment banks and the Nasdaq are "building the book." What that means is they are matching buyers with sellers before the first trade. The goal is a deep order book. They want enough orders lined up on both sides so the price does not swing wildly the second it opens. 12:30pm The management team heads over to one of the investment banks (Morgan Stanley), and Andrew, the CEO approves the first trade. Cerebras is a public company! 1pm to 5pm Much of the team goes home and rests. Andrew, the CEO, does press, press, press. Fox, CNN, WSJ, TBPN, everyone you can think of. A new one every 15 minutes. While we were waiting to go into one interview, one of the presenters said, "I'd never heard of Cerebras until earlier this week." They had just IPO'd at >$40 billion! It is a reminder to everyone that no one remembers you exist. You have to remind them, constantly. 6pm. Party time. Sarah Chieng fed me more shots than I’d had in years. It is an iconic moment in a company's history. In Andrew's words, “a graduation from corporate adolescence to corporate adulthood.” Congratulations to the Cerebras team, Julie, Sneha, James. The journey has just begun. 📷 Credit: Vanja Savic
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Will McTighe shared thisClaude Opus 4.8 launched this week. This is when to choose it over GPT-5.5: A few big updates with Opus 4.8: - It's 4x LESS likely to miss its own mistakes. - It’s better at asking you questions to make sure it does the right work - You can choose how hard it thinks before it answers, dialing up the effort for tough problems and down for quick ones. OpenAI's GPT-5.5 came out in April, and it's still excellent. So here's when to reach for which: 1/ Writing Opus 4.8: anything where you can't afford a hallucination or fabrication. A case study with real client numbers is an example. GPT-5.5: pushing through a long, messy draft in one go. You've got 40 pages of notes and you need an organized first draft. 2/ Research Opus 4.8: Research where not understanding very specific details would cost you, since it’s good at flagging nuance. E.g. Comparing two health insurance plans. GPT-5.5: big multi-step analysis across lots of sources. Like pulling pricing off 30 competitor sites. 3/ Admin Opus 4.8: emails, notes summaries, quick questions, anything that helps you with your day to day. GPT-5.5: the exact same, so just stay with whichever you already reach for. 4/ Judgement and reasoning Opus 4.8: when you need it to push back and think before acting. You're about to commit to a strategy and want it stress-tested first. GPT-5.5: raw reasoning you’ll need to check yourself, since it tends to cater to your preference. 5/ Financial analysis Opus 4.8: multi-step finance where you need help making numbers tie. Try it for reconciling a messy month of expenses. GPT-5.5: heavy modeling and document-driven finance, like building a 3-year revenue model in a spreadsheet. 6/ Coding Opus 4.8: serious coding where a hidden mistake would actually cost you. Like fixing the checkout on a site before it goes live. GPT-5.5: big, repetitive code cleanups across a whole project. ♻️ Repost to help your network make the write model choice. ➕ Follow Will McTighe for more like this.
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Will McTighe shared thisLast week, a $65M bootstrapped founder told me my biggest business problem was completely imaginary. I was in Miami, explaining something I'd been stuck on for months. He saw through it in about 30 seconds. He runs a recruiting business. 8 years in, $65M a year, aiming for $100M+ next year. We did a two-way coaching dinner... I gave him tips on LinkedIn, he helped me with a business problem. I told him my problem: I'm the bottleneck. I can't find anyone as good as me at creating content, so I'm still involved in everything. He poured a bucket of cold water over that: "You've got an imaginary scarcity mindset." His point was simple. The world is full of incredibly talented people. Finding them is NOT hard. Convincing them to join you is. I'd been treating a research & sales problem like a supply problem. I told myself the talent didn't exist because that was easier than admitting I hadn't gone looking properly. That's the trap. You make up a constraint, then rebrand it as a fact about the world. It hides everywhere: TALENT: "I can't find anyone as good as me." TRANSLATION: I haven't gone looking properly. MONEY: "I can't afford to invest in growth." TRANSLATION: I'm scared to spend, so I'm telling myself the money isn't there. TIME: "There aren't enough hours in the day." TRANSLATION: I haven't decided what to cut. The reason it's so hard to spot is that it's invisible from the inside. He could see mine instantly because he'd already fallen into the same trap years ago. Find someone 2-3 years ahead of you. Buy them dinner, pay them for coaching, whatever it takes. Tell them what you think is holding you back and let them tell you which parts are real and which parts are your own mental gymnastics. Most of our constraints are made up. They are things we feel are impossible, but in fact, are just hard. ♻️ Repost to help others break free 📌 Want content like this before anyone else? Get it here: https://lnkd.in/gKzZUq-b
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Will McTighe shared thisLinkedIn isn't too crowded. Starting from zero in 2026 is actually the easiest it's been in years. When Chris and I analyzed 397K posts earlier this month, we found the gap between the top 1% and the average creator is shrinking. When I started in 2024, a big audience was a massive advantage. Big accounts got more early engagement. But that advantage is gone. Follower count is not what wins on LinkedIn. So if I were starting in 2026, this is the exact system I'd follow: 1/ How to go viral Virality = topic + first line + visual. All 3 need to stop the scroll before someone clicks "see more." Pick a topic your audience is already interested in. Make line 1 a specific promise, problem, or surprise (authority, personal story, or humor), and pair it with a visual interesting enough to stop the scroll. 2/ Set a content strategy LinkedIn posts do 1 of 3 things: grow your audience, build trust, or drive sales. Most people stick to growth content cuz it's easier, but growth alone won't convert anyone into a lead. Post educational infographics and carousels 4x a week to grow, personal stories 2x a week to build trust, and case studies 1x a week to drive leads. 3/ Write for LinkedIn The best posts are between 1,250 and 3,000 characters. That gives you enough space to set up the problem, make people care, and give them something useful. Make sure your posts read like you speak. No one wants to read a formal report or a try-hard joke. 4/ Post more videos Video builds trust better than almost any other format. Use it for educational content, stories and skits, or client testimonials. One video a week is enough. 5/ Create lead magnets Build a freebie that solves one narrow, painful problem for your target audience. A prompt library, a checklist, a template, or a swipe file all work. Give it away in exchange for an email. 6/ LinkedIn power hour You don't need to spend all day on LinkedIn. All you need is a daily system - I recommend the power hour. Comment thoughtfully on 5-10 posts in your niche. Share a post that solves a real problem for your audience. Reply to every comment you get within the first hour. Then DM the people who engaged with you. Anyone can start building a personal brand today. Don’t fall behind. 📌 Want a high res pdf of this? Get it here: https://lnkd.in/gKzZUq-b ♻️ Repost to help your network build personal brands in 2026 ➕ Follow me (Will McTighe) for more like this.
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Will McTighe shared thisThere are 3 levels of using Claude. Getting to advanced it easier than you think. I run most of my company on Claude. Most people stay stuck in beginner mode because nobody shows them what comes next. Here are the 3 levels: → Level 1: Beginner Goal: Claude knows what you want with little context. - Set your default tone to Normal, Concise, or Formal. - Turn on memory so Claude can build context over time. - Add user preferences for what to do and what to avoid. - Choose the right model for each task. - Use web search when the answer needs current information. - Switch on code execution for calculations, charts, and file creation. At this level, Claude gives you cleaner answers. But you're still prompting from scratch every time. → Level 2: Intermediate Goal: Stop re-explaining yourself. - Create one project for each recurring task. - Add project instructions ONCE so Claude works the way you want every time. - Connect the apps you use daily like Gmail, Drive, Slack, or Notion. - Turn repeated prompts into reusable Skills. - Update memory as your preferences and responsibilities change. At this level, Claude actually starts to remember you. You can stop explaining the same task every time you open a new chat. → Level 3: Advanced Goal: Turn repeated tasks into an operating system. - Let Claude work directly in your local folders using Cowork. - Schedule recurring tasks so they run without you starting them. - Package your custom skills, connectors, and instructions into Plugins. - Dispatch complex workflows from your phone to your desktop. - Use the Chrome extension to automate recurring online tasks. At this level, Claude runs full workflows with the context already built in. After 6 months, Claude knows how I work better than most people I know 😅. And every session makes it a little better. 📌 Want a high-res PDF of this sheet? Get it here: https://lnkd.in/gKzZUq-b ♻️ Repost to help your network master Claude ➕ Follow me (Will McTighe) for more like this
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Will McTighe shared thisI paid $1,500 to learn how to be exceptional. It can be summed up in 4 words: Being exceptional equals volume. Two years ago, I paid $1,500 for a coaching session with someone who'd built one of the biggest audiences in my niche. Which felt insane. I almost didn't book it. The first thing they did was open a spreadsheet. 500 posts. Every metric tracked. Every topic color-coded. Every repost. Every format. Every visual type. Sorted and studied. That's when I understood…the gap between average and exceptional isn't just 10% more effort. It's more like 1,000%. Average people wait for 1 good idea. Exceptional ship 1 bad idea to learn from it. Average people quit after 3 failures. Exceptional improve through 300 failures. After that call, I started tracking everything. Every post. Every metric. Every viral piece of content I came across, saved and adapted with my own take. It worked. My businesses now do over $1m a year. The gap between average and exceptional is always about volume. 📌 Want content like this before anyone else? Get it here: https://lnkd.in/gKzZUq-b ♻️ Repost to help your network be exceptional ➕ Follow me (Will McTighe) for more like this.
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Will McTighe shared thisSuccess isn't from knowing everything. It's from admitting you don't. Most people are terrified of looking stupid: • They won't ask "dumb" questions in meetings • They nod along pretending to understand • They stay quiet when confused But the most successful people have no problem looking like idiots. For a long long time. When they want to learn something, they ask others or teach themselves: Look around: ✅ Elon taught himself how to build rockets ✅ Zuckerberg learned coding alone ✅ Jobs studied calligraphy for fun They all had one thing in common: They became masters of self-education. Here's how to start teaching yourself: 1/ Pick one thing at a time. Don’t spread yourself too thin - you won’t make an impact. Focus on learning one thing at a time. 2/ Learn by doing. Reading alone isn’t learning. Start a small project - learn what you need as you go. 3/ Learn from someone 2 steps ahead. Learn from their mistakes - reverse engineer their success. Take notes on what they do differently. The difference between winners and the rest? It's how fast you learn and grow. Stop asking for permission. It’s yours to take. The most important thing I wish I started building sooner? My personal brand. 📌 Here’s the playbook that got me to >450k followers With 120 post ideas + my AI writing prompts: https://lnkd.in/gKzZUq-b Remember: The most important teacher you'll ever have? It's you. ♻ Repost to help your network teach themselves. ➕ Want more? Follow me Will McTighe
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Will McTighe shared thisStop treating LinkedIn like a lottery ticket. Write one post → go viral → find clients → get rich → retire. It’s possible to have huge success on here. But only if you put in the work. There are 10 core post types on LinkedIn, and each one exists for a specific reason: 1/ Newsjacking Post Borrow momentum from something people already care about. E.g. "Anthropic just dropped a research report." 2/ Awareness Post Change or validate how people think about a problem. E.g. "Consistency is not enough to make progress." 3/ Educational Post Show your expertise and deliver real value. E.g. "How to build a personal brand in 2026." 4/ Challenge Post Do something unexpected with real stakes like money or credibility. E.g. "Let AI run your company while you go on holiday for a week." 5/ Story Post Use a personal moment to teach something. E.g. "My mum gave everything up for me." 6/ Short Video Post Video builds trust faster than any written post. E.g. “This is how I built my own CRM in 30 minutes”. 7/ Case Study Post Share a real before-and-after transformation. E.g. "[Client] went from 4K to 22K followers in [X] weeks." 8/ Objection Post Address the real reasons people don't buy before they even ask. E.g. "Is LinkedIn worth it if you only have 500 followers?" 9/ Product Demo Post Show a product solving a real problem in action. E.g. "Watch me build a client report in 10 minutes using Claude." 10/ Lead Magnet Post Solve a painful but narrow problem in exchange for an email. E.g. "Free checklist: Claude skill to write first drafts of marketing materials." If you don't know your post's job before you write it, don't be surprised when nothing happens. Use posts 1, 2, 3, 4, and 10 to grow your audience. Use posts 5 and 6 to build trust. Use posts 7, 8, 9 and 10 to convert. 📌 Want a high res pdf of this infographic? Get it here: https://lnkd.in/gKzZUq-b ♻️ Repost to help your network win on LinkedIn ➕ Follow me (Will McTighe) for more like this.
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Will McTighe liked thisWill McTighe liked thisNo more zero days. Every day, do at least one thing that gets you a little closer to your goal. One action, however small, toward the thing you're trying to build. The reason consistency works is that small actions build on each other. Over time that adds up to something you couldn't have created any other way. When you have a bad day, let it go and start fresh tomorrow. Beating yourself up just makes tomorrow harder. Find a way to show up every day.
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Will McTighe liked thisWill McTighe liked thisThe most important decision I ever made? Wasn’t picking the right job. It wasn’t where I chose to live. And it wasn’t quitting tech to be my own boss (though this is up there). It’s marrying the right person 💍 I married my hubby when I was 29. I met him a night club in SF after losing my mom to cancer and walking away from a toxic relationship (shoutout to Temple!) From the start, I knew he was different because for the first time, I didn’t have to dim my light to make someone else feel strong. 7 years later, we’re living and building our dream life *together*. The older I get, I realize THIS is the single most important decision in your LIFE. This one decision will impact everything: your career, health, and happiness. Choose the right life partner. It will 90% determine your happiness 💙 or misery 💔 A sign of a great relationship: You’re both obsessed with helping each other win > it’s never a competition. I wish this for everyone in their lifetime 🫶🏼
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Will McTighe liked thisWill McTighe liked thisI don't believe in dream jobs. But here's what I do believe in: Work where senior leaders are respected. Not diminished micromanaged by their CEO or demoted by the environments they've earned the right to lead in. This isn’t about ambition. It’s about a basic human right. Not the kind of respect packaged as executive perks. Not slogans on the wall. Not “we’re like a family.” Real respect is quiet and it's not showing off: - Being listened to without needing to repeat yourself - Being treated as a human, not a role or a snr title - Being trusted without being watched “Peace of mind” isn’t a luxury anymore for execs. It speaks to their nervous system: freedom from constant threat & pressure, or fear of being punished for existing as you are. We all understand the cost of living without safety. And everyone wants relief from it. At your stage, culture is really a proxy for where and with whom your life energy is spent. It touches the universal desire to belong to something that helps you grow rather than erodes you. A place where effort leads to becoming more yourself. Psychological safety is often managed or self-created. You learn how to regulate it. How to cope over time. What breaks leaders is not stress. It’s: - Being micromanaged - Moved by office politics - Being reduced to an IC function - Having their values overridden quietly That’s not a safety issue. That’s a dignity injury. At a senior level of my career years ago. I needed to ask myself these questions because org didn't bother: “Am I treated as a human being or as a means to an end?” “Does this environment still honour who I’ve become?” “Does this place harm or protect my inner stability?” “Was I invited to fix or innovate?“ “Is this still worthy of me?” “Shall I stay, shall I go?“ “What’s next?“ Being the only woman in the boardroom I didn't need to be rescued I wanted recognition. Life is too precious to spend it in places that slowly takes you away from yourself. And here’s the part many miss: This is about being treated as a human first, not a resource. When experienced leaders leave, it’s rarely because they felt unsafe. It’s because they no longer felt respected. And their peace of mind has gone. 💭 Tell me: What if the real question isn’t where you work, but how you’re treated there?
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Will McTighe liked thisExceptional. Just exceptional. At Cerebras we are proud to be Windsurf’s partner.Will McTighe liked thisThere’s probably no other screenshot that summarizes the hard work at Cognition than this one Before Windsurf was acquired, it took 2.5 years of grinding, creativity, and luck, to get us closer and closer to $100M… But Cognition just added more revenue than where Windsurf was, all in the last month Right now we are operating at another scale, and all credit goes to an incredibly talent dense team
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Will McTighe reacted on thisWill McTighe reacted on thisI just reread the original Cerebras Series A deck. 10 years ago, I gave Andrew Feldman his first term sheet off the back of this. The cover says "Cerebras Systems (working name)." They were so early the name wasn't even final! It was Andrew, Gary Lauterbach, Sean Lie, Michael James and Jean-Philippe Fricker and an idea most people thought was nuts. Even the language is from a different era. The deck talks about neural networks, CNNs and RNNs. No transformers, LLMs or foundation models. The vocabulary we use today didn't exist yet. But the team's two bold bets proved exactly right. Bet 1: AI workloads were about to explode. In 2016, this was not obvious. The smartest people I knew were divided on whether AI would even be useful. AlexNet had arrived in 2012 and a few corners of the research community were doing interesting things with image recognition, but in the broader software industry, AI was somewhere between a marketing buzzword and a science project. Andrew and his co-founders saw the demand curve going vertical. The deck makes this case page after page. Google had just used 1,000 servers to train on a single 224-pixel image. Meanwhile 350 million photos were being uploaded to Facebook every day. Training a neural network still took months. The infrastructure was not going to keep up. Bet 2: The GPU was the wrong machine for the job. There's a slide in the deck titled "Why Would an Engine Built for Pushing Images to a Monitor Be Ideal for ML?" At this point, everyone else was iterating on the GPU. Andrew kept coming back to a different idea. He thought the hard part of deep learning was going to be moving data around, not doing the math. Only 4% of a GPU's die area was being used for ML compute. Yes, only 4%! The rest was carrying the burden of graphics. It was a battlefield promotion - not what anyone would design starting from a blank sheet of paper. So while the rest of the industry kept optimizing the GPU, Cerebras designed something from scratch that was purpose-built for neural networks. Optimized for the movement of data across a fabric rather than the multiplication of matrices in isolated cores. They proposed a different kind of computer altogether - one that broke with how computers had been built for 75 years. Pulling it off meant inventing new technology across semiconductors, systems, data fabric, and software all at once. Any one of those could have been a company on its own. They signed up for all four. Inference doesn't come up in the deck because it couldn't have. In 2016, nobody was running models at scale. Inference wasn't a job anyone needed done yet. What came next was years and years of wrestling with problems that no-one in the history of computing had ever solved. 10 years later, Andrew and team were proven right. Proud of what they’ve built. And proud of the journey we’ve been on together.
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Will McTighe liked thisWill McTighe liked thisI’ve had bosses who inspired me. And some I couldn’t wait to leave behind. Some led with empathy. Others led with ego. We don’t remember bosses because of their titles. We remember how they made us feel. The best bosses leave lessons that stay with us for years. 👉 Here are 9 things great bosses did that we still remember. (And none of them need charisma.) 1. Made growth feel safe ↳ You could make mistakes without fearing judgment. ↳ That freedom gave you confidence to take bigger risks. 2. Opened doors you didn’t know existed ↳ They saw potential in you before you saw it. ↳ And encouraged you to do things that scared you. 3. Spoke up for you when you weren’t there ↳ They didn’t just support you. ↳ They stood up for you. 4. Celebrated effort, not just results ↳ They noticed the late nights and early mornings. ↳ And made sure others noticed them too. 5. Taught you how to lead ↳ Not through lessons, but through real opportunities. ↳ They showed you what trust looks like. 6. Raised the bar with you ↳ Not as an obstacle, but as a shared goal. ↳ You wanted to grow, not compete. 7. Practised what they preached ↳ You watched them face difficult situations. ↳ And learned from their example. 8. Made your work feel meaningful ↳ Even the boring tasks felt part of something bigger. ↳ That’s what kept you motivated. 9. Let you fail ↳ And didn’t hold it against you. ↳ Because mistakes were always part of learning. We all carry lessons from leaders who showed us What great leadership looks like. Years later, we may forget what they said. But we never forget how they made us feel. Tag a leader who shaped you. P.S. Found this useful? ♻️ Repost to help someone become the leader they wish they had. 🔖 Follow Véronique Barrot for more growth and self-leadership insights.
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Ashley Smith
Vermilion Cliffs Ventures • 7K followers
Big news from the Vermilion Cliffs Ventures portfolio today. Keycard acquired Anchor.dev 🎉 🎉 🎉 🎉 As the talent wars in AI heat up, we’re seeing more early-stage teams join forces in thoughtful, founder-first ways. Not just traditional acquisitions, but combinations of people, product, and vision. When funds stay close to their founders, these outcomes can be incredibly powerful. This acquisition brings two Vermilion portfolio companies together to accelerate autonomous coding agents in production. Anchor brings deep infrastructure experience from places like Cloudflare, GitHub, and Heroku, with a focus on making identity primitives automatic, reliable, and invisible to developers. That expertise now lives directly inside Keycard’s agent-native platform. Together, they’re enabling: Application-layer policy enforcement at runtime: Policy is evaluated per task and per tool call, where agents actually execute actions, rather than at login, the network boundary, or through protocol-specific proxies. Protocol-agnostic support for the full agent toolchain: Agent behavior is governed consistently across MCP workflows, CLI commands, APIs, and agent-generated tools, enabling the long tail of applications and patterns used in modern software development. Explicit tool governance with full visibility: Teams define which tools an agent is allowed to use, and every tool invocation, successful or failed, is evaluated, logged, and attributed to a specific agent and task with support for additional metadata. Identity-bound, task-scoped credentials: Static secrets are replaced with short-lived credentials issued per task and cryptographically bound to the agent and the application being accessed. Portable agent configuration across environments: Agents are configured once and can be used across laptops, sandboxes, and production systems without reconfiguration, using cryptographically attested runtime context. Autonomous workflows with built-in guardrails: Routine actions proceed without human involvement, while sensitive operations can still require explicit approval, enabling autonomy without sacrificing security or control. From my perspective as an investor in both companies, this combination makes perfect sense. Agents are becoming first-class actors in modern software systems, and autonomy without identity, governance, and visibility is a non-starter. Keycard is building the foundation that lets agents move safely from local development into production. Huge congrats to Ian Livingstone, Matthew Creager, Jared Hanson, and the Keycard team, and to Wesley Beary, Ben Burkert and the Anchor crew. Proud of both teams and excited to see what they build together. And thank you to Kyt Dotson at SiliconANGLE & theCUBE for the great coverage! https://lnkd.in/gH-i8vRu Onward. 👯♀️
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Matias Zorrilla
Harpoon • 3K followers
You can feel it, something’s shifting in hard tech. From materials to manufacturing to energy, we’re seeing founders take on harder problems, and raising from investors who finally understand what it takes to build in these sectors. When Harpoon Ventures started Black Flag, our goal was simple: help critical-tech founders close the distance between great ideas and the right capital. Over the past few months, we asked hundreds of founders which investors they trust and recommend most. Their answers became something worth sharing: a public list of the most active deep-tech funds today. It’s meant to save founders time, connect them to the right partners, and make this ecosystem a little easier to navigate. 🏴☠️ Introducing The Black Flag Investor List → https://lnkd.in/dYsCnpnd
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Josh Latin
Stealth • 935 followers
It's been a blast diving into deals with Hustle Fund and the AI/ML pod. The return on time invested in the Venture Fellows program has been extremely high. The concentration of talent in each pod and exposure to a high volume of deal flow has me leveling up every week and sharpening my sense for what stands out (and what doesn't). If you're building or fundraising in AI/ML (or applying it in interesting ways), reach out.
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Kevin Jiang
Mangusta Capital • 56K followers
We accidentally started a podcast. What began as friends venting on WhatsApp about AI, markets, and being Asian in VC… has quietly turned into one of the highlights of our week. It’s called “Not Investment Advice” (because, truly, it isn’t 😅). At its core, it’s just: • Three emerging managers of Asian descent • Sitting between Silicon Valley and Asia • Talking honestly about what we’re seeing in tech, capital, and culture • With the occasional identity crisis mixed in A quick intro to the crew: • Eric Bahn – Co-founder of Hustle Fund, early ex-Instagram, serial founder, and one of the best community builders in VC. He’s spent years backing pre-seed founders and teaching thousands of people how venture really works. • Ian Park – Former partner at a Korean-American VC fund in the Valley and ex-investor at KIC (Korea’s sovereign wealth fund). He writes a widely respected Korean-language newsletter and podcast, bridging LPs, VCs, and founders across Korea and the US. • Kevin Jiang - Managing Partner at Mangusta Capital, a VC backed by the Luxottica family office. Previously at SoftBank Investment Advisers, Apollo Global Management, Inc. and Goldman Sachs, now focused on AI-native, vertical application companies out of San Francisco, Milan, and Seoul. When we first hit “record,” there was no grand mission deck. Just three Asian GPs who: • Grew up being told not to “shine too brightly” • Rarely saw people who look like us on big VC media platforms • Wanted a space to speak candidly about the markets and about identity, without over-polishing it The vibe is somewhere between Asian All-In and “late-night group chat you weren’t supposed to see”: • No heavy editing • We disagree with each other a lot • We talk about things that are exciting and a little scary In our first episode, we cover: • Prediction markets (Kalshi / Polymarket) – Are they useful price discovery or just Vegas with better UX? • Trillion-dollar AI infrastructure bets – Circular vendor financing, rare earths, and whether we’re over-building data centers like the dot-com fiber boom. • The AI talent war – Why engineers are starting to look like sports stars with “nine-figure contracts,” and how that ripples back to startups, LPs, and regular people. • Sora & deepfakes – The end of “video as proof,” the IP mess behind training data, Worldcoin-style identity, and what we’ll tell the next generation about believing anything they see online. 🎧 The first batch of episodes is live – starting with Episode 1 here: https://lnkd.in/gqT-74H3 If you check it out: • Tell us what resonated (or what you strongly disagree with) • Drop topic ideas you’d like us to unpack next • Suggest guests we should bring on from across the US–Asia VC & founder community This has already become the most fun “non-work work” thing we do each week. Hope you enjoy hanging out with us. And, of course… None of this is investment advice. 😉
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Wale Ayantoye CAMS
GiriToday • 5K followers
Proud to join Jenny Vo for a grounded conversation on what it actually takes to build infrastructure for emerging markets. We unpacked the structural challenges Africans face accessing products from home, the complexity of scaling across 54 fragmented markets, and why trust, compliance, and secure systems are non negotiable if you want durable growth. We also touched on how AI can be a real force multiplier for African sellers when applied with discipline. GiriToday started with a simple insight and has grown into a platform supporting over 1,000 sellers, with a much larger opportunity ahead. This work is hard, unglamorous at times, but deeply necessary. If you are a founder, operator, or investor focused on real problem solving, this episode is worth your time. Watch the full conversation here: https://lnkd.in/gZ8vS-4p
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Monik Pham
6K followers
I hosted a discussion yesterday at unlock VC (previously WVC:E) Summit about Barriers to Progression with some incredible women. However, I left the session feeling frustrated and honestly a bit angry. One question in particular that has stuck with me is a young woman asking for advice on how to manage a situation where her firm has hired a male counterpart but on a much higher salary. She didn’t know how to bring it up. Now, I’m not really one for giving advice (for many reasons) but I’m disappointed that we are still having these discussions today. So here are a few things I wish someone had told me earlier: On pay gaps: You don’t need to tiptoe around this. Book time with your manager, bring data (market rates, your contributions, comparable roles), and state your case directly. If they’re defensive rather than collaborative, that tells you everything you need to know about whether this is somewhere you can grow. On knowing your worth: Keep a running doc of your wins - deals you’ve sourced, value you’ve added, relationships you’ve built. When imposter syndrome hits (and it will), you’ll have receipts. When comp conversations come up, you’ll have ammunition. On finding your people: The women who’ve helped me most in this industry weren’t at my firm (because there weren’t any). Build your kitchen cabinet - other women and men in VC, founders, mentors who’ll tell you the truth and have your back. The ones who supported me ended up being my co-founders at Pact. These relationships matter more than any single job. On when to walk: Sometimes the best career move is leaving. If you’re constantly fighting to be heard, paid fairly, or taken seriously, your energy is better spent somewhere that actually values you. There are firms getting this right. If you’re dealing with any of this - pay disparities, being overlooked, or just feeling stuck - please DM me and let’s talk. I’d like to offer support where I can. Any other advice? Itxaso del Palacio, PhD Natasha Lytton Katharine Spooner Kadi-Ingrid Lilles Francesca (Check) Warner Camilla Dolan Isabelle O'Keeffe Tong Gu Reem Wyndham Roxane Sanguinetti Sophie Winwood
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Nate Loewentheil
Commonweal Ventures • 18K followers
Google has produced 218 unicorn founders. Palantir Technologies has produced 28. So why do I think experience at Palantir is a better indicator of a founder's ability to scale a startup? New research from Ilya Strebulaev at Stanford University's Venture Capital Initiative tracked 3,778 founders across 1,768 US unicorns. Google sits at #1 on the raw list. Microsoft #2. IBM #3. But those numbers don't adjust for company size. Google has ~183,000 employees. Palantir has 4,429. I did some back of the napkin math (don’t take these as gospel!). Per 10,000 employees, Palantir produces 63 unicorn founders. Bain & Company is second at 29 per 10,000. McKinsey & Company third at 17.5. Goldman Sachs fourth at 14.2. Then Google at 12. Some of the companies on the list are hard to compare this way because they've gone through mergers or breakups. Others, like Amazon, employ millions of people, but the vast majority work in non-tech jobs, so their ratio of unicorn founders to employees tells us very little about their tech talent pipeline. But there is still a generalizable pattern here. Roles at Palantir, Bain, McKinsey, and Goldman all drop talented people into someone else's messy reality, ask them to figure it out quickly, and solve something real with minimal hand-holding. In other words, they are a form of founder training. It would be great if VCs like me could just rely on recruiting founders from the alumni networks of these companies, but other people have figured this out too. So the important question is: what's the next Palantir? Where are talented people being deployed into hard, ambiguous problems right now, before the data catches up? I’ll share my hunch here: I'm watching OpenAI's deployment arm and Anthropic's new consulting and enterprise deployment operations. Both are sending technically strong people directly into customer environments to solve problems using the technology of the moment, and both are going to get a look at what some of the biggest companies in America really need.
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Bhavanipratap Rana
4K followers
Home services remain one of the last great frontiers in India’s digital economy: massive, historically fragmented, and operationally challenging to manage. Snabbit is transforming this space by pairing strong customer love with disciplined, market-by-micro market execution. Their focus on sustainable unit economics and operational resilience sets them up to be category leaders. Susquehanna Venture Capital is excited to lead this round and back Aayush Agarwal’s vision of making Snabbit the national standard for reliable, on-demand home services. Aayush Agarwal | Snabbit Abhilash Karri | Sai A.
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Anant Pai
General Catalyst • 3K followers
One of the most fun things I get to do at General Catalyst is work with Karthik Vellanki, who is reimagining the way that CPG works, from pet supplements (yes, you read that right) to hygiene products. Impressive real world analog to the Anthropic vending machine story (links in comment): What happens when you let AI run a brand? cc: Yuri Sagalov Neeraj Arora
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Tuukka Jarvenpaa
- • 2K followers
Not listening as a founder is dangerous. Listening to everyone is even more dangerous. Every investor or a board member has a story about the overly stubborn founder. The one who ignores feedback, plows ahead blindly, and crashes into walls they were warned about. That can be a real failure mode. But there's another one that gets less attention. I was working with a founding team recently. Smart, self-aware, surrounded by experienced advisors and coaches. Every conversation produced a new insight. Every insight triggered a small course correction. After months of this, one of the founders paused mid-session and said something that stuck with me: "We've become a chameleon that never settles on a direction." They hadn't made one dramatic pivot. They'd made dozens of micro-pivots. Each one reasonable, each one backed by credible advice. Until the original conviction that started the company had quietly faded. They couldn't jointly articulate what problem they were solving or for whom. Not because they hadn't thought about it, but because they'd thought about it too many times, through too many lenses. Being coachable is celebrated in startup culture, and it should be. But there's a line where coachability stops being a strength and starts being an absence of conviction. When every smart person you talk to shifts your direction by ten degrees, you end up going in circles. The fix isn't to stop listening. It's to recognize that at some point, direction has to come from belief informed by reality, not from endless synthesis of other people's opinions. The best founders I work with don't ignore advice. They filter it through something they actually believe. If you find yourself changing your story every time you leave a meeting, the problem probably isn't your strategy. It's that you don't have one yet.
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Eva Christine Reder
IMC Krems University of… • 51K followers
Had a 30-minute masterclass on real estate investing with Riaz Taplin, founder and CEO of ArtHaus Partners (formerly Riaz Capital), a workforce housing developer in the Bay Area. 🤓 Their platform is valued at around $1B with $325M - $350M in investor capital raised. Under his leadership, the company expanded from 88 units to 4,000 units, residences, and beds in operation and development. He started young— at 16, and professionally by 21. With 20+ years in the game, he’s mastered how to read the market and create opportunities that help investors maximize and protect their capital. Interesting how their platform delivers twofold value. 1/ Bridge the Bay Area’s middle-class housing gap. 2/ Deliver steady, tax-advantaged returns for investors. Other things I learned from our convo: ↳ Going solo in real estate = betting everything on one property. You miss out on diversified, steady gains from scale and expertise. ↳ Calling real estate a disaster = missing the nuance. Some classes, like multifamily housing, stay strong even when others crash. ↳ Investing without a tax strategy = giving away returns. Take advantage of tax provisions such as a 1031 exchange. Huge thank you to Riaz for sharing his wisdom! 💚 We talked about how to read markets, scale without overexposure, create impact while building wealth, and more! If you’d like to catch the full conversation, I'll drop the link in the comments. 👇 And please send some love to Riaz. He’s doing incredible work bridging the Bay Area’s middle-class housing gap while helping investors grow sustainably. 🦁🚀
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Diana Melencio
XRC Ventures • 4K followers
Interesting tidbit from the Women in VC Summit at Half Moon Bay. You wouldn’t necessarily think Deep Tech / AI and Consumer investors have much in common—beyond being founder-first. But post-2021/2022, the convergence is real. Across stages and sectors, the shift is toward: • Disciplined unit economics • Proof over possibility Whether it’s consumer or deep tech, the bar has moved from credible possibility to credible execution (credit to deep tech investor Kelly Chen for the phrasing). What that looks like in practice: - Deep Tech diligence → customer calls, pilots, real demand pull - Consumer diligence → channel checks, repeat purchase, retail velocity Different inputs. Same question: does the product actually work? The punchline for founders: everyone is underwriting outcomes now—not narratives. #WomenInVC #VentureCapital #Fundraising #UnitEconomics #StartupExecution #DeepTech #ConsumerVC
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Sakshi Sadashiv
The Ken • 3K followers
Neiox Eco Cycle isn’t the sort of startup you read about every day. There is nothing sexy about the business, which has to solve for plankton, barnacles, mussels and other such delights. It’s also not the sort of business that attracts much interest from venture capitalists. In shipping, what keeps a vessel afloat and profitable is often what lies unseen beneath the waterline. The hull—the lower portion of a vessel, which remains submerged—is its most critical and vulnerable component. Constant exposure to seawater and microscopic marine organisms make it prone to corrosion. Unlike engines or other mechanical systems that are routinely overhauled, hull quality largely determines a ship’s long-term value. Vessels are typically taken out of service every five years for dry docking, where hulls are inspected, repaired and repainted. For shipbuilders and repair yards, coatings are an unglamorous but decisive variable, shaping operating economics and emissions over decades. The startup claims its technology collapses shipping’s traditional seven-layer coating stack into a single, non-toxic application that tackles both corrosion and biofouling—cutting downtime, fuel loss and environmental risk in one stroke. For Cochin Shipyard, it checked several boxes at once, prompting the shipbuilder to write an initial ₹30-lakh cheque, followed by a ₹75-lakh grant. A similar logic is playing out in Mumbai. Mahanagar Gas, a stodgy listed city-gas utility, has led an investment in Bengaluru-based EV startup 3ev. During its Q2 FY26 earnings call, management struck a careful tone: electric vehicles, it said, are unlikely to dent CNG demand in the near term. Yet in the same breath, the company acknowledged investments like 3ev as part of exploring adjacent energy transition opportunities, describing it as a long term equity bet with limited near-term financial impact. Read why legacy players are flirting with climate-tech funding: https://lnkd.in/gFz_KBYb
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Riley Loftus
Harpoon • 5K followers
New partnership alert!! Excited to announce that Black Flag is partnering with xAI to give founders free credits and direct access to Grok - xAI’s family of powerful, multi-modal, real-time models. Across essentially any end product you're applying to Black Flag with, Grok will deliver: - Deep reasoning across text, code, and context - Faster inference and improved function calling - CUI: Secretary of War Pete Hegseth just announced that Grok is being adopted for handling Controlled Unclassified Information If you're building in critical technology areas important to the West - space, energy, autonomy, cyber - the next generation of secure software will be built with Grok and you can now get a head start through Black Flag. Only 18 days left to apply to Black Flag’s January batch - apply at the link in the comments!
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Dhruv Maheshwari
Obvio • 3K followers
Thrilled to share the news: Obvio has launched in 5 cities and we’ve raised a $22M Series A led by Bain Capital Ventures, with continued support from Khosla Ventures and Pathlight Ventures, who’ve backed us since the early days. When Ali Rehan and I set out to explore the traffic safety problem, we didn’t expect to see the magnitude of the problem: every parent, crossing guard, and dogwalker said the same thing: “I’m really nervous about drivers these days.” Every pedestrian we talk to has a story of the near miss that happened just days ago. We decided to push harder and the journey took our team to unexpected places: we’ve passed laws at state houses, built an end-to-end traffic safety solution that combines modern hardware, advanced computer vision, and a full-ticketing operation, and have traveled coast to coast more times than should be allowed. The result has been Obvio: we’re on a mission to curb reckless driving and reduce the 40,000 annual deaths that happen on our roadways. Our first 5 cities went live earlier this year, and we’ve been excited to see the results: 50% reduction in unsafe driving events in just the first couple months of the program. Read about our approach here: https://lnkd.in/g3j3WWx9 We’re just getting started—and we’d love your help. If you’re excited to work on hard problems and solve a critical problem, we’re hiring across product, engineering, government partnerships, marketing, and more: https://lnkd.in/grq6NQPN A huge thank you to our entire support system: our first police chief partners (Dan, Anthony), our incredible team who took the leap, our early mentors & backers (Jairam, Vinod, Mahdi, Charley, Ajay, Qasar, Tom), and the families and friends who’ve supported us every step of the way. 💙 Let's make the roadways safer!
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Ishan Sachdev
Deciens Capital • 5K followers
One of the things I appreciate most about our Entrepreneur In Residence model is the ability to develop a true partnership with a founder and really understand how they think before they start building. Viral Shah joined Deciens Capital as an EIR after co-founding Better.com. Before he even started building June Point Lending, we got to see firsthand how he approached hard problems — the rigor, the ambition, and the operating instincts that you only develop through having already built to scale. June Point Lending went from initial funding to a live lender in eight months. It's focused on Non-QM mortgages — a $232B market where institutional capital demand far outpaces the supply of originators who can meet it at scale. They're automating with AI what the rest of the industry still does manually, and secured tier-1 capital markets partners out of the gate, creating a powerful technology + capital combination and condensing what would ordinarily be years of work into the company’s formation. We're proud to have backed Viral and co-founder William DeVar from the start, and in a world increasingly focused on short-term profit taking, we're excited to be on this journey with them for the long term. https://lnkd.in/ecGQtMx7
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Maja Markowitz
Roundtable • 6K followers
"When choosing angel investors, we look for people who can really support us on our journey. Many had already helped us by making introductions and taking calls. Bringing them on as investors formalizes that support – when people are on your cap table, it's easier to ask for introductions and insights because you have an ongoing relationship." - Lennart Bock, Proxima Fusion As Europe's fastest-growing fusion energy startup and the first spin-out from Max Planck Institute for Plasma Physics, Proxima Fusion needed to onboard strategic angels globally while keeping operations lean. Here's how Roundtable streamlined their Series A angel syndicate: ✅ Full SPV management: Roundtable handled setup, compliance, and internal administration – team received POA without operational burden ✅ Real-time visibility: Dashboard tracking of investor status and commitments at a glance ✅ Global reach: Accommodated international investors with proactive compliance support ✅ Automated KYC/KYB: Seamless process whether angels invested individually or through entities ✅ Strategic focus: Clean cap table (1 SPV entry) enabled focus on high-value relationships vs. admin ✅ Speed: Once angels ready, entire process can complete in 1-2 weeks "One feature I particularly liked was the visibility into investor progress. With other providers, everything may be taken off your plate, but then you're left in the dark. Roundtable gives you a bird's eye overview, which we found very useful." By giving experienced ex-founders and industry leaders the chance to invest (vs. paying them as advisors), Proxima aligned their interests with company success and gained invaluable access to networks and guidance. Want to see how they're building the future of fusion energy with strategic angels? Link in comments 👇
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Jonathan Rat
Archy • 7K followers
Today we begin the next chapter of Archy, supercharged with $20M in Series B funding led by TCV (Austin Levitt, Morgan Gerlak), with participation from Bessemer Venture Partners (Kent Bennett, Maha Malik), CRV (Murat Bicer), Entrée Capital (Saul Levin, Avi Eyal), and dentist customers who believe in our mission. The problem is clear: Dentistry is facing a severe staffing crisis while being held back by decades-old software cobbled together with a hodgepodge of add-ons. Practices are drowning in administrative work that pulls focus away from patient care. Our solution: World-class, all-in-one software powered by AI agents that automates the busywork, eliminates the inefficiency, and gives dentists their time back. In the last year, we've grown 300% and now process well over $100M in payments annually. Archy is already saving midsized practices 80+ hours every month, time that can be spent treating patients instead of wrestling with software. This funding accelerates our day one mission: building the tools that let dentists and their teams do what they do best, treat patients. The great Mary Ann Azevedo at Crunchbase breaks the news: https://lnkd.in/gbZs_az7 P.S. If your dentist is still struggling with antiquated software, they (and you) deserve better. Tell them about Archy.
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Ruchira Shukla
Green Marble • 19K followers
What a joy to speak with this brilliant cohort of innovators in the The Global Energy Alliance for People and Planet (GEAPP) ENTICE (Energy Transitions Innovation Challenge) 2.0 program and taking on their sharp questions at the investor bootcamp. 80% of global GHG emission reduction goals for 2050 can be met through energy system decarbonization, efficiency and electrification. This represents a US $100 trillion opportunity according to the IEA. A stronger, more stable grid is at the heart of building a #resilient #energy future. This year’s program challenges innovators to tackle: 1) Behind-the-meter digital twins: #AI tools to analyse consumption and create appliance-level insights 2) Industrial flexibility at scale: AI solutions using smart meter data to identify flexible assets and operational inefficiencies Kudos to the entrepreneurs and the GEAPP team for curating and executing such a thoughtful program. Looking forward to seeing how these #innovations scale #impact. Synapses Dalberg Media Vaishali (Vish) Mishra Anukul Tripathi (He/Him) Jayant Sinha Saurabh Kumar
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