Yatin Mundkur

We are excited to back Morphing Machines. As Dr. Ranjani, CTO and co-founder says: “For the first time in India and globally, we have a processor that is truly runtime reconfigurable, catering to emerging workloads.” While Nvidia’s growth and high valuation are driven by robust demand for “infra-compute” in high-performance GPUs, spurred by Gen AI, there is a distinct need for innovative solutions tailored to a new wave of reactive applications. Enter Morphing Machines. It addresses this demand with its unique product designed for next-gen telecom, autonomous vehicles, collaborative robots, avionics, and online data analytics. This product is specifically engineered to handle heterogeneous workloads and diverse tasks with varying performance demands simultaneously, ensuring a high level of scalability. As we move from an institutionally-backed research team at IISC to productization, Golden Sparrow is collaborating with Speciale Invest and others to support Deepak Shapeti, who joined as CEO three years ago after earning his Masters at Stanford. He brings not only technical expertise but also the business acumen necessary to guide the product to commercial success. Venkat Raju Afreed Faizan Anand Rao Ritik Singh Michael Marmor

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During yesterday's LibreQoS APNIC webinar, I posed the question: won't more bandwidth solve these problems? As Herbert Wolverson said, yes, more bandwidth is good, but, still these problems remain if queueing is done incorrectly. Here's my take on why bandwidth alone is not as good as bandwidth + good queueing policies: Generally it was believed that 'data is important, so don't throw it away; hang on to it and send it later'. In practice, this has proven to be suboptimal as two issues may emerge: 1) latency increases for some flows due to heavy demand from other flows using the same bottleneck link, 2) even a single flow can have excessive latency due to aspects of typical TCP behavior (referred to bufferbloat) when the buffers grew large enough that the data being buffered was retransmitted anyway. It turns out that not all data is equally important. Active Queue Management is the art of deciding priorities, both in deciding what data to throw away, but also in allowing some later arriving data to be transmitted ahead of data in another connection that arrived before it. These problems have been studied, and good solutions have been found by using certain queueing policies in routers and switches, referred to as “fq_codel’ and “cake”. These track the different flows not by classifying the data, but by watching the behavior. Flows that send relatively little data (DNS lookups), or at a measured pace (video chat) have priority over flows that send a lot of data as quickly as possible (App and System updates, Video and ISO downloads).

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Worth reading: Situationsl Awareness by Leopold Aschenbrenner PDF : https://lnkd.in/gkxQ3yMD Web site: https://lnkd.in/gyJUCBhb Interesting perspective, time of course will tell.

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its not just about VC/investor appetite for more mature start-ups where the risk is relatively less, its the turn now of VCs being treated the same by LPs. very likely to happen in India as well if not already happening. The infamous long tail in VC universe is very much going to be a reality.

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Excited to share Marathon Venture Capital's investment in Eva Magnisali's DataForm Lab! Construction is large enough to be measured in GDP terms, yet remains a laggard in the adoption of automation. Our buildings are still constructed manually! Offsite manufacturing, i.e. assembling buildings in factories, provides the perfect canvas for putting automation to work – still, however, robots are nowhere to be seen... Eva studied architecture and robotics, and worked with design firms, developers and industry vendors, realising first hand what's keeping the industry stuck in the past. Then she got to work... Dataform Lab's software platform translates designs to production drawings and machine code, along with optimising processes and scheduling, essentially offering a modern operating system for construction factories. The company already works with some of the most prominent offsite manufacturers worldwide. Today it announces the completion of a GBP 1.1m Seed round led by Marathon. Eva and her team are on a mission to drive automation in offsite manufacturing. If you are excited about working at the intersection of technology and construction, get in touch! Building construction has been slow and expensive for far too long. Our next homes and schools may come from fully-automated factories, delivered at a fraction of today's time and cost. Keep an eye on Dataform Lab! https://lnkd.in/dVVfnudS

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⚡ Kicking off 🌎 Earth Day with exciting news as we unveil 8090 Industries' latest investment in Exowatt led by Hannan P. along with Sam Altman Andreessen Horowitz, Atomic, Overmatch Ventures, Protagonist, and many more. As the boom in AI heightens the energy demand for data centers, Exowatt is pioneering a fundamental breakthrough in baseload renewable energy that helps makes $0.01 per kilowatt-hour, 24 hours a day a reality for commercial and industrial use cases. 🏗 How does it work? The Exowatt P3, represents a breakthrough 3-in-1 modular system, a heat collector, a heat battery, and a heat engine capable of providing dispatchable power and heat 24 hours a day. Unlike traditional solar panels that convert sunlight into electricity directly, Exowatt uses a unique approach by storing solar energy in a thermal battery, which can retain this energy for up to 24 hours per day. The Exowatt P3 modules are designed to fit the space of a standard 40-foot shipping container. They can be deployed on small and large commercial and industrial projects, linearly scaling with workload size and infrastructure requirements. Best captured by Founder and CEO Hannan P. himself, an industrialist you're going to want to pay close attention to: “You don’t have to go back to fossil fuels to solve the data-center energy problem…That’s counterproductive and unlike traditional renewable solutions that require significant upfront costs and extended setup times, Exowatt's modular system can be deployed rapidly and cost-effectively – and it's available THIS YEAR. Exowatt is built to respond quickly to the escalating energy demands of the modern world, especially those spurred by the rapid growth of AI." 👀 Who Cares? Exowatt has a backlog of demand for OVER 500 megawatts for data centers across the U.S. and plans to begin deployments later this year. With this $20 million seed funding, Exowatt intends to expand its team and deploy the Exowatt P3 with its first set of data center customers. Stay tuned! Lots to come! cc Kerem Ozmen Wes Mendenhall Filip Vurdelja Haluk Sabanci Dincer Grant Brown Ishan Meswani Garuth A. Andrew Irwin Charles Oppenheimer Fatimah Bello #energyabundance #decarbonization #climatetech

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ex Google CEO Eric Schmidt spoke at Stanford this week. Lots of nuggets here, but most interesting for the near term, Schmidt believes in the next year AI is set to make a big leap forward. He predicts AI will combine three important features: 1. Vast knowledge retention (1 million token models) 2. Text-to-action capability 3. Personal AI agent fleets While the full impact is unknown, everyone may soon command their own AI teams. Here's an example: Imagine you're developing new quantum computing algorithms. Your AI assistants could: - Continuously scan and synthesize global quantum research papers - Generate novel algorithm ideas based on this knowledge - Simulate and test these algorithms across various quantum architectures - Automatically document findings and prepare draft papers - Identify potential collaborators and draft outreach emails All initiated by a command like "Advance our quantum algorithm research." This could dramatically accelerate R&D cycles and scientific breakthroughs.. https://lnkd.in/eJbg6cnD #frontiertech #AI #futurefrontier

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Positive news for US manufacturing - TSMC’s Arizona facility is doing better than expected. Bloomberg reports the site is producing chips at 4% higher yields than similar Taiwan facilities. That’s big, especially for those of us who wondered if this complex manufacturing would fly stateside. After a couple of production delays, TSMC just came back and crushed expectations. This extra 4% yield is proof we can make this happen right here in the U.S. This isn’t just a win for TSMC - it’s a win for all of us banking on the CHIPS Act to reshape the global semiconductor map. High yields mean we’re not just manufacturing but doing it with some serious efficiency. And if that doesn’t help build momentum for more US-made chips, I don’t know what will.

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I had a lot of fun recording a podcast episode with Shiva Singh Sangwan. We discussed the evolution of Humba Ventures & Susa Ventures; tips for raising and building a fund; how to improve investment sourcing & picking; the role of luck in investing, and so on. https://lnkd.in/eiqsStej

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✨ Chet Kapoor ✨ is quite the Silicon Valley legend. Three-time founder and currently the CEO of DataStax his wisdom for founders is incredibly spot-on ✅ and timeless ⏰ ! In this most recent and probably best-ever episode of The Enterprise GTM podcast, Chet discusses what it takes to build enduring tech companies. Some 🎤 soundbites 🎤 from our conversation: 👩‍🏫 The quality of people influences the outcome of your startup the most. 🔥 You do not need smart people who sit around and pontificate. ☄ Momentum is everything. Never underestimate it. 🌟 Having complete clarity of thought at any given time is very important--who are you doing this for, and how will it change their lives? 🌈 One of the best ways to create a large company is to create a parade or join one. ☝ Know who you are. There's a high likelihood that the company will become more like who you are rather than who you want to be. 🛑 Don't make the mistake of hiring sales execs too soon. Be extra cautious about partnerships. 📣 Tune in to hear about what he has to say about AI startups getting started today, the future of the data layer, the evolving importance of data roles (data science, data engineering), and so much more! #devtool #founder #startup #data #ai https://lnkd.in/gW-58nvE

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Here’s a question investors are often asked: When evaluating early stage companies, how much time do you spend on due diligence around future exits? It’s not surprising we hear this question a lot. Also not surprising: it’s got a wide range of answers depending on the firm. Some don’t spend much time here at all. Others make it a point to put meaningful time in as part of their process. Our current thinking: take the time to do the work on public market comps. At Alpaca VC, we spend significant time understanding how public market investors will  realistically value a business based on margin profile, product, business model & TAM. In short, we want to know: how will this company be valued at scale when we get taken out? Yes, we can acknowledge that the journey toward exit is a windy road and that there may be pivots along the way, but there are still public market companies that have a business model similar to the early stage company you're evaluating. And you can always look at gross profit multiples if you think the margin profile will change over time. So we still do the work on the comps. Quantitative metrics we look at when making the comparison to public market comps include EBITDA multiple, revenue multiple, Gross Profit multiple or all of the above. As part of this process, it’s also important to factor in the public market company’s year-over-year revenue growth as this will also significantly impact the multiple it trades at. Simple example: if you have two public market companies with similar business models and similar margin profiles, but one's growing 100% year over year, and one's growing 50% year over year, then obviously the DCF (discounted cash flow) analysis is going to spit out a very different valuation for the one that's growing faster. Why this matters: When you take all of that information into account as you evaluate an early stage business, you can begin to create a realistic picture of how this company will be valued in the public markets at exit - or how an acquirer will value the company for an acquisition. Strategic acquirers may, of course, pay a premium, but we won’t underwrite for that. This allows us, for example, to form conviction around valuation based on revenue and gross profit predictions. If we think they can do $100M of revenue five years from now, we use this diligence process to form a thesis about whether the characteristics above (product, margin, business model, etc.) will cause the company to be valued at $200M vs. $500M vs. $1B at exit. Curious how other early stage investors think about underwriting an exit and how much time they’re spending on public market comps even though these companies are in their infancy.

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🔥 🔥 🙌 🙌 🎆 🎆 I'm *fired up* to share this. #VentureIQ by the 9point8 Collective is officially live. We've heard from investors of every size and type that it takes too long and costs too much to evaluate deal flow; this limits the scale and speed at which these capital allocators can operate. To address this problem, we've created an innovative solution which delivers high fidelity diligence information near instantaneously. From a time and cost perspective, VentureIQ immediately creates leverage to look at more deals - and creates space to focus deeply on the most meaningful opportunities. To learn more, you can reach out to me directly or visit VentureIQ.ai. I'll close with some thoughts on my team, to whom I'm so grateful. Blair Merlino, Neal Ghosh and Evan Allen don't just talk about interesting concepts, point out problems or pontificate on what could be. Instead, they identify a problem, frame and validate the solution, and do the work to bring it to reality. VentureIQ is the best example I've seen of this, to date. #VentureCapital, #FamilyOffice, #PrivateEquity #CorporateDevelopment #Startups

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I find it hard to believe that with millions of EVs entering the market and the proliferation of AI compute that PGE is actually going to have excess capacity in 2040 without any additional generation from 3rd parties. I am also curious if there are enough transmission lines and if PGE views that as someone else’s problem. Maybe they are planning on AI and ACTUAL figuring it all out! https://lnkd.in/gybsMmaw

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Key takeaways from VC Goat - Vinod Khosla podcast. - The firm cares more about working on interesting problems with large technical solutions rather than just maximizing IRR. The team is there because they believe in the mission. - Khosla assumes they've lost the money the day they invest, and then maximizes for the upside opportunity. He calls it "option value investing" rather than IRR investing. - Khosla has contrarian bets in AI (neuro-symbolic computing, probabilistic approaches), biotech, robotics, crypto, and more. - He believes aviation fuels, fusion energy, new transit systems, and other contrarian areas ignored by most investors will be huge opportunities. - Most large innovations come from outsiders, not industry insiders. Khosla looks for founders who can learn a business rapidly rather than have deep domain expertise. The Future Impact of AI - AI will be deflationary and increase productivity growth to 4% annually vs the typical 2% forecast. This will cause great abundance but also increasing income inequality. - Bipedal robots will take over most manufacturing and manual labor jobs within 20-25 years. This will free humans to be more creative and pursue their passions. - Education will shift from job training to creativity. Uniquely human elements like taste and curation will be most valued in an AI-enabled world. https://lnkd.in/gqBsmbks

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