Anand Dass
Menlo Park, California, United States
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About
The hardest product problems don't come with a playbook. My career has been spent in…
Articles by Anand
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Open Source Automated Car Shopping Agent
Open Source Automated Car Shopping Agent
My wife needed a car. We had no time to shop for one.
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8 Comments -
Quest Applications Community Updates (ish)Jul 14, 2023
Quest Applications Community Updates (ish)
Last week Sam Cole, in WAPO shared how FitXR has transformed the way many people, women in particular, view headsets:…
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Apple Headset PredictionsJun 2, 2023
Apple Headset Predictions
Apple is rumored to release a VR headset at WWDC on 6/5/23. I am making some predictions about what the headset might…
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Find your WhyJun 1, 2023
Find your Why
This is an edited version of a memo I shared internally after the layoffs and my feelings regarding the recent changes…
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🔥🔥What the beginnings of a good VR application looks like🚀🚀📈Nov 22, 2021
🔥🔥What the beginnings of a good VR application looks like🚀🚀📈
Making something that people love is hard..
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Building the content ecosystem for productivity & collaboration in VRJan 19, 2021
Building the content ecosystem for productivity & collaboration in VR
Personal update: I’ve joined Oculus to build the content ecosystem for productivity & collaboration in VR Tl;dr: I will…
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Platform Partnerships, Workplace, LondonSep 27, 2018
Platform Partnerships, Workplace, London
Who is the smartest partnerships/business development person you know? Interesting role at the intersection of Business…
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**HIRING NOW**: Come change the future of workAug 11, 2017
**HIRING NOW**: Come change the future of work
We are fortunate at Workplace that customers love what we are building. This is unlocking a bunch of opportunities on…
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Activity
12K followers
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Anand Dass shared thisOpen Source Automated Car Shopping Agent My wife needed a car. We had no time to shop for one. So I built an agent to do it for me. I've open-sourced the entire project. It's a reference implementation; built for my specific search, but designed to be configurable for any make, model, region, and budget. What are you automating that you used to do manually? And where did the agent surprise you?
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Anand Dass shared thisIf you are looking for a PM role, pls see Lenny”s canonical resources for listing. Good luck and may the odds be in your favor!Anand Dass shared thisNarrative violation: PM openings are at the highest levels we’ve seen in over 3 years There are over 7,300 open PM roles at tech companies globally, and trending up. This is 75% above the low we saw in early 2023, and already up nearly 20% since the start of this year. Today we have the most open PM roles we’ve seen since 2022. You can see all of these open roles here: https://trueup.io/product Full report here: https://lnkd.in/gHPzuDJa
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Anand Dass shared thisGlasses Built for Prescriptions and All-Day Comfort Here we go. These are also the most comfortable glasses we’ve ever designed + tons of new AI experiences. If you use prescriptions lens (like I do), you might want this 🚀 New Styles: Introducing the rectangular "Blayzer" and the rounded "Scriber" frames. 🛠️ Custom Fit: New adjustable features designed for all-day comfort; overextension hinges, interchangeable nose-pads, and optician-adjustable temple tips 🥗📊 AI Nutritionist: Log meals just by looking at your plate. Meta AI identifies the food and tracks your macros hands-free. 💬🎧 WhatsApp Summaries: Stay present without checking your phone—the AI summarizes unread group chats and messages directly in your ear. 🌍🗣️ Live Translation: Expanding to 20 languages (including Japanese, Korean, and Arabic) for near-real-time conversation support. ✍️🪄 Neural Handwriting: (For Display models) Reply to texts by "writing" with your finger on any surface, like a table or your leg. 🌍 Global Expansion: Launching soon in Japan, Korea, and Europe. Prices start at $499, with pre-orders open now and retail availability starting April 14th. https://lnkd.in/gtGRKZX7
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Anand Dass reposted thisAnand Dass reposted thisThe market is giving up on SaaS too quickly. And I don’t buy it. I don’t believe a few hackers and some cloud code can suddenly replace the complex business logic and customer understanding built into these products over years. Most AI newcomers that crossed the meaningful ARR threshold didn’t build in isolation. They grew on top of existing players’ APIs. Those players were too generous with access. That window is closing. Companies like Salesforce are starting to protect their data aggressively. Effective vSaaS is built through years of “blood and tears” alongside customers. That kind of depth doesn’t get copied overnight. Market correction isn’t a disaster. It’s an opportunity. Acquiring established vSaaS players makes sense, if you can build an agent layer on top of them. But the real question is simple: Whose budget are you competing for? SaaS historically captured part of the IT budget. New AI startups are going after labor share of wallet. And the difference in ticket size is massive: • Software as a tool: $2,000 • Automating an employee’s work: $200,000 If legacy players don’t learn to sell outcomes instead of tools, they risk becoming small service layers next to the new giants. The real challenge for incumbents isn’t technology. It’s economics. Even if they build great agents, subsidizing inference will be hard. Their survival now depends on two things: distribution and data moats. And doing both without massive spend. Their cost of capital is materially higher today. What we’re seeing isn’t the death of vSaaS. It’s its transformation. Yes, the market is correcting past overvaluation. But this fear is creating strong entry points. I’m gradually building positions. #AI #Saas #Saaspocalypse
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Anand Dass shared thisGreat article on the state of union of small language models on device by Vikas & Raghuraman 1. Eliminating cloud latency enables instantaneous, sub-second local AI interactions. 2. Quantization fits massive intelligence into the palm of your hand. 3. Local processing guarantees total privacy by keeping data on-device.Anand Dass shared this𝐎𝐧-𝐃𝐞𝐯𝐢𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐒𝐭𝐚𝐭𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐔𝐧𝐢𝐨𝐧 There's a lot of interest in on-device LLMs right now, but the field is moving fast. Three years ago, running an LLM on a phone was a toy demo. Today, billion-parameter models run in real time on flagship devices. What changed? Not just faster chips. We had to rethink how we build, train, compress, and deploy models from the ground up. I wrote "On-Device LLMs: State of the Union, 2026" with Raghuraman Krishnamoorthi, covering the latest on what it takes to get LLMs on-device: efficient architectures, quantization, inference optimization, deployment frameworks, and open challenges. Hope you find it useful if you're building or researching in this area. Full post: https://lnkd.in/g3rFTtAf
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Anand Dass reposted thisAnand Dass reposted thisBig announcement from our team at Meta today! Developers can now build experiences for Meta’s AI glasses like #raybanmeta. Today, we’re going live with the developer preview of the Device Access Toolkit (link in comments), which enables developers to extend their iOS and Android apps to include glasses functionality. What apps do you want to see on glasses? 😎 Meta’s AI glasses are lightweight, stylish, and packed with useful technology - a 12 MP ultra-wide camera, a 5-microphone array, discreet open-ear speakers, and more. Now developers will have access to an early subset of that on-device technology - with more to come in 2026. 🚀 We’ve worked closely with Walt Disney Imagineering, Twitch, Microsoft and other early partners to shape the first version of this SDK. Their explorations to-date have confirmed what we’ve always believed -- that a world where you can access the apps you love without pulling out your phone is not just coming...it’s here. 👓 Some of my favorite examples of their early explorations, highlighted at this year’s #MetaConnect (demo videos in comments): 🎢 Walt Disney Imagineering’s parks guide - putting a virtual theme park guide in your ear, enhancing the way you experience Disney’s parks and unlocking information about the world that you’re in ⛳️ 18Birdies’ virtual golf caddie - your glasses become your expert caddie, giving you yardages, club recommendations, and seamless social capture while allowing you to stay in the moment and focus solely on your golf 📱 Twitch’s POV streaming feature - effortlessly stream IRL content from your glasses, completely hands-free so that you can focus on the real world 🚶🏻♂️ HumanWare’s Follow Me feature - blind and low vision users receive discreet audio cues to stay oriented and close to their companions while walking 🙏 We owe a HUGE thank you to these early partners and many more for tirelessly working with us to test and iterate on early versions of this SDK and for providing invaluable feedback that has shaped this first public version - heartfelt thank you to 18Birdies (Eddy Lui, Matt Harlow, Junyan Wang, Christian Garelli, Joey Laderer), Twitch (Bryan Miletta, Jeff Parvin, Diana N., Vladimir Shevchenko, Grant Butler, Florian Nierhaus), Disney (Asa Kalama, Brandon Smith, Armando Soto), Humanware (Louis-Philippe Massé and Francois Boutrouille), Supermoon (John Barnett, Patrick Pijnappel, Niels Andriesse, Eric Wang), Streamlabs (Ashray Urs), Microsoft’s SeeingAI (Saqib Shaikh, David Guo), L+R (Alex L., Ivan Leider), Pixel & Texel (Andrew Strickland, Chris Stayte), and their wider teams who have been involved. #smartglasses #wearables #metafordevelopers
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Anand Dass shared this𝐒𝐦𝐚𝐥𝐥 𝐛𝐮𝐭 𝐦𝐢𝐠𝐡𝐭𝐲 💪 — 𝐢𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐌𝐨𝐛𝐢𝐥𝐞𝐋𝐋𝐌 𝐏𝐫𝐨 I don't get to talk much about the frontier AI Wearables work that we do. This one we can talk about publicly since we open sourced it :-) We released MobileLLM Pro, a compact yet powerful language model designed to run directly On-Device. It’s a great proof point that small models can be genuinely useful in real-world experiences — not just in research papers. Under the hood, MobileLLM Pro packs an incredible amount of innovation into a tiny footprint: 🏆 Strong pre-training performance — outperforming Gemma 3 1B and Llama 3.2 1B across 11 long-context reasoning and knowledge benchmarks, thanks to a carefully balanced pre-training data mix. 🤖 Competitive instruction-tuning — fine-tuned with SFT + DPO to excel at coding, reasoning, summarization, and function-calling. 📚 128k context window — learned via Implicit Positional Distillation, enabling long-context understanding without requiring long-context data. 🌱 Branch-Train-Merge annealing — merging specialized model branches for stronger generalization. ⚡ Extreme efficiency — with interleaved attention and int4 quantization, running under 600 MB RAM for fast, memory-efficient inference on-device. Super fun intersecting on this work with the amazing Igor Fedorov Tarek Elgamal Tarek Hefny Vikas Chandra Anuj Kumar Raghuraman Krishnamoorthi Ahmed Aly Patrick Huber and Adithya Sagar. I feel fortunate to get to ride shotgun and glimpse the future with an incredible group of very talented AI engineers and researchers! Test our model on GradIO: https://lnkd.in/g48kx6Jj Download the checkpoints from Huggingface and run locally with just a few lines of code: https://lnkd.in/gX7bpvD7 #MobileLLMPro #OnDeviceAI #Wearables
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Anand Dass shared this👓 Meta Ray-Ban Display: The most advanced AI glasses ever built, featuring a visual display and controlled by the revolutionary Meta Neural Band are here! Starting at $799 USD available for in-person purchase in the US at select Meta Lab locations, Best Buy, LensCrafters, Sunglass Hut and Ray-Ban stores. Schedule a demo here: https://lnkd.in/gG5YHUWX
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Anand Dass shared this😎Ray-Ban Meta (Gen 2): Up to 8 hours of battery life, 3K Ultra HD video capture, and new styles. Made with love by thousands of people who believe in what they are building. Pre-order here: https://lnkd.in/g9F569HB
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Anand Dass liked thisAnand Dass liked thisMost people told me I was too late to the game. I walked away from corporate at 47. Got married at 45. We're taught early that potential has a shelf life. If you don't hit certain milestones by a certain age, you missed your chance. I don’t believe that anymore. I know too many people who built something real after 40: → After a layoff → After divorce → After illness → After years of playing it safe My friend beat cancer at 42. Then went to medical school. She's 68 now. Still practicing. One of the best in women's health. Bernie Marcus got fired at 46. He could've seen it as the end. Instead, he started Home Depot at 49. Today it's worth $343 billion. Here's what I've learned: The first 40 years weren't wasted. They built me. The grief, the mistakes, the repairs, the hard lessons I didn't want to learn. All of it matters now at 56. There's no deadline on becoming who you're meant to be. If you're rebuilding, restarting, or finally doing the thing you've been putting off, you're not behind. You're right on time. 📌 Save this for the days doubt gets loud. ♻️ Share it with someone who thinks they're behind. 🔔 Follow Melina Panetta for more on building after 40 ___ Join 1,000+ Leaders crossing the bridge here: https://lnkd.in/gWYD3-kx
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Anand Dass liked thisAnand Dass liked thisLife update - after almost 5 years, I've departed Instawork to explore new opportunities. It honestly felt like a continuation of the journey I started with Drafted after we got acquired in 2021. Post-acquisition, I probably worked the same or more hours per day than I did as a founder, there was no slowing down - it felt like the polar opposite of resting and vesting. I'm most grateful to the Instawork Pros and Partners who I got to serve - and who are truly the backbone of the American economy. At it's best, Instawork has the power to enable millions of people to make their rent and have some extra cash to buy a birthday gift for their daughter. But at the same time it comes with great responsibility - a single delayed payment or a missed clock-in can ruin someone's entire week. Outside of some excellent colleagues (I'm not going to tag like 100 people), the best part of the journey was the diversity of what I was able to work on - driving velocity at a scale up through peacetime and wartime (iykyk) - growing consumer app downloads from 1M --> 10M - opening new verticals and launching new markets - doing tours of duty overseeing growth, product, operations, and design - shipping 10's of thousands of lines of code - closing new customers for experimental products - building a professional network for everyday Americans - learning about hundreds of businesses that are outside of tech - pioneering major changes to the business model in-flight - learning more than I ever wanted to about labor compliance - (and yes, building referral systems at scale for millions of Pros) The entire time I've been at Instawork, everyone outside of Instawork (and even some people within the company) have been asking me when I'm going to start the next thing. The answer is soon, but I'm taking a much needed break after nearly 12 years of non-stop grinding. I'm also pausing to reflect on the journey and some difficult lessons I learned along the way - it's never as rosy as it looks from the outside. Someone suggested that I should share more war stories and write about lessons from the post-exit founder journey - the good, the bad, the ugly, and the inspiring. Stay tuned. In the meantime, I am cheering from the sidelines for my team. For all of you who are still grinding, thanks for putting up with me, and know that I'm always a text away :)
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Anand Dass liked thisAnand Dass liked thisAs a happy side effect of three months of AI coding, today I finished taking my first AI-generated course: - Pre-training, Post-training & Reasoning for LLMs (https://lnkd.in/gj8nj8CN). It is associated with three surveys, together covering 2700+ papers: - Pre-training: https://lnkd.in/gX2csTAB - Reinforcement Learning: https://lnkd.in/gnmjDSyB - Reasoning: https://lnkd.in/eKzCScgE (See more courses and surveys in papers.lunadong.com) I followed the course’s suggested pace—one set of 6-7 slides per day, then jumped into the linked survey sections and nearby topics for broader context. From there, I skimmed recommended papers that are recent and caught my interest (e.g., https://lnkd.in/gc7fyc-n). Over a month, this added up to solid coverage of the field, sharpened my understanding of LLM training, and kept me up to date with emerging trends. The course itself is a bit dry, but pairs well with the surveys, abundant of examples; paper reading is optional, but adds valuable depth. Also nice to see some traction: - Courses: 1,400+ views - Surveys: 5,600+ views - Paper summaries: 53,000+ views
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Anand Dass liked thisAnand Dass liked thisI’ve joined OpenAI Grateful for my time at Meta especially the people I had the opportunity to build with and learn from. The work ahead at OpenAI is some of the most important work I’ll have the chance to do and I’m excited to help build it. Onward and upward.
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Anand Dass liked thisAnand Dass liked thisMy zoom name has been “Foster Parent” for the last few months. After a meeting with DCF I had no idea how to change it back, so it stuck. I don’t often post personal news, but some of you know that Erin and I have been on an adoption journey for several years now. About 10 months ago we became pre-adoptive parents to two brothers, ages 9 and 12. They have been through a lot, are the most resilient humans I've met, and have more energy than I imagined possible (if we could bottle it, it might power a fusion reactor). The adoption isn’t final, so pictures of them on LinkedIn will have to wait. I got to celebrate Earth Day touring them around Greentown Labs, Bootbox Labs, and Massachusetts Institute of Technology with Erin Baumgartner, Georgina Campbell Flatter, Chad Woodrow, Vanessa Kafka, and Doug Hills. These kids love building stuff, 3D printing, and science - they were literally running from one thing to the next. As CEO of Greentown and a mom herself, Georgie did such an amazing job explaining how Greentown came to be, what it means to be an entrepreneur, and how important all of our climate work is for a more sustainable future. The “Foster Parent” title also turned out to be an interesting ice breaker. I learned about colleagues who were adopted, others who are adoptive parents - so many who shared their journey and wisdom with me (total noob over here). Thank you for your kindness and advice. It’s been a humbling and challenging experience, but it’s also been incredibly rewarding. Thank you to the MANY villages of friends, family, colleagues, coaches, social workers, and therapists who have supported us, especially Lois Fu and Sally Ann MacDonald. If you have advice to share or questions about our journey, please feel free to comment, connect, or DM. Let’s build a better world for these kids to enjoy! Love to all of you! <3 #family #gratitude #nerds #earthday #hvacnerds #fostercare #adoption
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Anand Dass liked thisAnand Dass liked thisI’m excited to join Eclipse as its first Chief AI Officer. I’ve always been a builder, I’ve spent my career building through major technology shifts, from smartphones to Alexa to AR/VR. Now we’re at another inflection point: Deploying intelligence at scale in the physical world. AI has already transformed the digital realm, but its impact on the physical economy — manufacturing, logistics, infrastructure — will be even greater. Eclipse has been focused on this from the start. I’ve known the team for years and have seen firsthand their commitment to tackling the hardest, most consequential problems alongside founders. In this role, I’ll work closely with portfolio companies on AI strategy and product, support new investments, and help make Eclipse an AI-native firm. Eclipse's approach to co-building companies from inception is rare, and it aligns deeply with how I think about turning ideas into reality — taking a first-principles, clean-sheet approach to solve old problems in new ways. I am a builder at heart, and I'll be doing exactly that. In addition to joining Eclipse, I will be building a new company from the ground up in partnership with Eclipse Venture Equity. More to come on that soon. Excited to get started. https://bit.ly/4tyK8pP
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Ryan Green
Gridwise • 9K followers
Monthly earnings is up in SF—while every other AV city saw drops. What do you think happened? San Francisco was one of the earliest AV markets—Waymo went fully commercial there in June 2024. Yet despite a drop in ride density and pay per unit, monthly earnings increased. San Francisco stands apart from every other AV-active market in our dataset. While driver pay fell in Austin, Phoenix, and LA—monthly earnings in SF increased, even as trips per hour, utilization, and unit pay all declined. That raises questions. Are fewer drivers staying active—and working longer hours? Is platform supply adjusting to early AV rollout? Or is demand shifting in ways that concentrate earnings? Our AV Impact Report compares these city-level trends to the national baseline—and helps clarify where AV activity might be playing a role. 📊 Austin, SF, LA, Phoenix 📉 Year-over-year changes in pay, volume, and utilization 📍 Local vs national baselines Download the report for a deeper look into the insights: https://lnkd.in/drHnjtCS
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Toby Culshaw
ServiceNow • 23K followers
OpenAI's $6.5B Acquisition of io: A Landmark Acquihire? OpenAI's recent acquisition of io, the hardware startup founded by former Apple design chief Jony Ive, for $6.5 billion, is huge news. With a team of just 55 employees and no commercial products to date, should this move be viewed as the most significant "acquihire" in history? What are your thoughts on this acquisition? Could this be the most significant acquihire in tech history? How do you see this influencing the future of AI-integrated hardware? #OpenAI #JonyIve #Acquihire #AIHardware #Innovation
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Gennaro Cuofano
WordLift • 22K followers
Bezos reentering the arena as co-CEO of Project Prometheus signals a shift, elite founders formerly devoted to bits are now building atoms or AI for the physical economy, not just software. With $6.2 billion raised and nearly 100 researchers from Meta, OpenAI, and DeepMind, Prometheus aims to industrialize engineering and manufacturing with simulation-driven AI. https://lnkd.in/drkFdqzG
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Christophe Perih
France fil international • 5K followers
Project Vend reads less like a capability story and more like a governability story. Phase two improved because institutional scaffolding (tools, procedures, role separation) reduced predictable judgment failures—persuasion, compliance blind spots, boundary confusion, values drift. The board-level question isn’t “can an agent run a business?” but “what governance primitives must exist before we delegate authority.” Until incentives, escalation rights, and refusal boundaries are structurally enforced—not merely prompted—agents remain high-performing managers, not autonomous executives.
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Derek Kerton
Autotech Council • 4K followers
We chose a good subject for our march Autotech Council meeting, and after this year's CES, it seems even more obvious. Our meeting on the AI Defined Vehicle will show how it's a natural next step after the Software Defined Vehicle phase that we've been in Tesla launched the Model S in 2012. Now, most carmakers have SDVs. It's time to layer on the AI in user-facing roles, and in invisible functions managing the vehicle.
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Pavel Livshiz
Hetz Ventures • 5K followers
Big news from the Flox, Hetz Ventures PortCo, on partnering with NVIDIA to bring pre-built #CUDA packages to the Flox Catalog. A major milestone for the whole ecosystem. Congrats to everyone Ron Efroni and the entire Flox team! This partnership is about supporting developers with a more seamless experience and strengthening CUDA’s value across the wider ecosystem. It’s a major step forward for anyone building AI, ML, HPC, and GPU-accelerated applications as teams can now build and deploy portable #CUDA runtimes that just work, anytime and anywhere. #proudseedinvestor
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Neil Tewari
Conversion • 18K followers
Martin Eberhard played a key role early at Tesla and even brought in Elon Musk. Then he was pushed out of the company for pennies. Founders get most of the attention in Silicon Valley, but the ecosystem is built on the people who take a chance and join early stage ventures. Unfortunately, those same people are often the easiest to cut out. Founders can dilute early employees, change vesting terms, and restructure equity with little effort and zero consequences (you can literally do it in Carta in 5 minutes). Daniel Kottke was a close friend of Steve Jobs and helped build the Apple I and II computers. He got no equity (Steve Wozniak eventually gave him a few of his own shares). Brian Acton co-founded WhatsApp and stayed through the Facebook acquisition. When he left Facebook over privacy concerns, he had to walk away from $850 million in unvested stock. There’s more awareness now around how vesting works, what happens during a liquidity event, and how to think about re-ups and dilution. That’s good. But the truth is, if someone really wants to screw you, they can. It still comes down to one thing: trust the people you work with. Or don’t work with them at all.
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8 Comments -
Jeremiah Owyang
Blitzscaling Ventures • 39K followers
Why does the SF Bay dominate the tech landscape? There's a network effect, like a gravity well that creates compounding benefits from those that are within the region. Here's one of my slides from my TEDAI San Francisco speech on why community and culture play a key role in the AI ecosystem development in our region.
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Ami Badani
Corning Incorporated • 9K followers
Arm just delivered its second-highest revenue quarter ever — with 25% year-over-year royalty growth. AI is reshaping everything — and Arm is the platform powering it. - ~50% share of the AI data center market. - Compute Subsystems (CSS) strategy is exceeding expectations, helping customers launch their products faster and with less risk. - Largest developer ecosystem in history with this software driving the flywheel for more Arm based platforms. As the need for scalable, power-efficient compute continues to soar, Arm is meeting the moment with technology that fuels the future. Congrats to the Arm team on a great quarter!
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Neil Zeghidour
Gradium • 9K followers
I spoke with Amplify Partners about Kyutai and Gradium, and more broadly about why voice is the modality where small, disciplined teams routinely outcompete larger organizations despite having far less compute and staff. The post goes into how we approached audio end-to-end, why we insisted early on full-duplex, real-time interaction, and how much of that came from tight iteration loops rather than scale. It also reflects on our culture, competition as a forcing function, and why having fewer people can actually make technical progress faster, not harder. No grand vision statements. Just how things were built, why certain bets were made early, and what it feels like to work at the edge of audio and interaction. If you’re interested in audio, voice, or small teams doing real systems work, this captures it well: https://lnkd.in/e8X_zmiP
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Bret Taylor
OpenAI • 145K followers
Proud that Sierra has partnered with Cedar to build Kora, an AI voice agent purpose-built for patient billing. Catch Cedar's Sumayah Rahman and Sierra's Miranda Zhao at ViVE later this month to hear how they built Kora and what they've learned from real patient interactions https://lnkd.in/gh2et3ss
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