Nagraj Kashyap

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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Thrilled to announce the launch of our inaugural edition of Beyond Benchmarks at Emergence Capital. This comprehensive report dives deep into the metrics and trends shaping the early-stage enterprise cloud market. A huge thank you to our VC partners and contributors for making this possible! Here's a sneak peek of our findings: --> 60% of companies have already integrated GenAI into their service offerings, with another 20% planning to do so this year. --> While most companies use OpenAI as their primary LLM, many are experimenting with multiple models. We’re seeing a trend toward intelligently routing GenAI inference requests based on cost, performance, and security. --> Companies that have implemented GenAI are showing promising results, with a 7% higher NDR compared to those that haven’t. Beyond Benchmarks goes further with more GenAI trends, insights on the current fundraising environment, and key performance metrics. Our goal is to provide founders and their teams with valuable benchmarks to help them make better-informed decisions. At Emergence Capital, we're committed to helping founders build iconic companies. Dive into the full report here: https://lnkd.in/g6bnvAZM

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If you are in the VC space, you should know one of the early drivers of "Moneyball for VC". That's Gopinath Sundaramurthy, Ph.D Gopi partnered with the Kauffman Fellows Fund on implementing these concepts in their investment process. The results were staggering. 50% of the investments the fund made became unicorns. In Gopi's words 👇🏻 "We knew something was working, so we thought: Let's build this a little bigger." What did that look like in practice? 1️⃣ Gopi's firm uses a single ‘source of truth’ platform to centralize information, improving decision-making and consistency. 2️⃣ They maintain an even 50/50 split between data engineers and investors to ensure they leverage data to gain insights into teams, markets, and products. Want to learn more about what Gopi and the team at Ensemble VC has implemented at their firm? Check out the case study that our sponsor Harmonic published about the firm -->

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It seems inevitable that as the underlying foundation models become more powerful, the LLM players will seek to justify the enormous investment that has gone into training their models by moving "up the stack", and evolve from an API or chat interface, to async agents. Regardless of whether the foundation model companies end up directly competing with you in your vertical, I believe as a B2B AI startup, you NEED to go through the thought experiment: how do I future proof my company as the underlying models progress? More here: https://lnkd.in/gkdhmVer

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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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"Editors note: Welcome to issue #2 of Transcriptions. Today, we’d like to present a conversation between Qasar Younis of Applied Intuition, and Bilal Zuberi of Lux Capital. We discovered Qasar recently, and find his focus and clarity of thinking to be admirable. What follows is a lightly edited transcript of their talk, first held at the Paklaunch forum." Link to transcipt: https://lnkd.in/gH4uBmPE

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Menlo Ventures annual state of GenAI in the enterprise is quickly becoming the definitive report on the adoption trends in this industry. Impressed at our ability to precisely quantify the levels of traction across departments and vertical industries!

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Today, GTMfund’s is excited to announce to launch of Operator, its first incubated company. Max Altschuler (founder of GTMfund) teamed up with co-founder Adam M. (design engineer and 0-1 builder) and co-founder Mark Kosoglow (Outreach employee #1 and former SVP of Global Sales) to create Operator.ai alongside an insanely talented team Pleasant Middelhof, Jeremy Jonas, Carl Gunderson. We've entered a period called “The Great Ignore”. Spam and irrelevant, poorly-automated outbound campaigns are running rampant.   Operator gives you an easy-to-use Growth Engineer that allows you to build and enrich lists with accurate data, and run experiments and queries using AI to generate highly targeted outreach.    Check out their website to get updates, early access, and see how they are taking the world back to 2 touches meant to attract buyers into conversations that convert, instead of 20 touches meant to make sure you hit your activity number: https://www.operator.ai/

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Exciting news! We just sent out the inaugural newsletter for Future Frontier Capital, our pre-seed venture fund backing frontier tech startups. As I hit "send," I realized how launching FFC parallels the path of the founders we support. Starting FFC has required the same passion, perseverance, and self-belief that drive entrepreneurs. Just like a startup, getting a VC fund off the ground demands relentless hustle—building the brand, perfecting the pitch, and networking tirelessly. There are constant challenges that test your resolve and endless hours of unglamorous work behind the scenes. And perhaps most daunting - the self-doubt, wondering if you're crazy for attempting something so bold. Pushing through that negative self-talk requires unshakable faith in your mission. Raising this VC fund reminds me of starting our IP strategy and patent analytics firm two decades ago. It’s a powerful reminder of the perseverance, creativity, and resilience needed to turn an ambitious idea into reality. This experience makes us more empathetic partners, ready to support the founders we back. Our work is just beginning, and this inaugural newsletter underscores our commitment to supporting frontier tech startups every step of the way. #startups #VentureCapital #EmergingManagers #Entrepreneurship #InnovationMindSet

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Ross Haleliuk posted the fantastic article below. This is the world where I live day-to-day. At TechOperators, we invest mostly in early-stage cyber, but we do things a little differently, and we believe there are ways to invest successfully outside of pure Power Law math. The article argues that many security problems are too small for VC. I agree. I often try to convince bootstrapped founders not to raise venture because doing so can turn a successful, slow-growing bootstrapped company into a failed venture-backed company because, despite a large infusion of capital, it couldn't double every year. VC is not monolithic--not by stage, strategy, or style. Venture is often equated with "Tier 1 Venture". Ross argues that VC is not always great for early-stage cyber--and he is right. Bootstrapping AND VC work when incentives are aligned. Does it work for an early-stage VC with a <$200M fund to invest in several early companies at reasonable valuations, setting up the conditions for reasonable exits that pay off for both investors and founders? Yes. Does it work for $800M funds investing in seed stage at $100M+ valuations? Well, that depends! Power law says it does (for VC), but the unfortunate externality is that these rounds destroy companies and founder equity more often than not. There is a role for patient capital in this ecosystem to fuel successful companies that retain exit optionality as they scale--driving exit value for both founders and investors.

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Hey folks, I think you might be aware that what we're building at DeepCast includes a podcast discovery and exploration platform for listeners at www.deepcast.fm. We also recently unveiled www.deepcast.pro -- a promotions, marketing, and monetization platform for podcasters (and folks like networks and agencies who support them). "You make the shows, let us help you with what comes after." Shows claimed and processed via DeepCast Pro are also published for listener consumption on DeepCast. High value all around! If you're a podcaster, claim your show at www.deepcast.pro to get started. Free speaker-labeled transcripts for all your episodes as well as generated insights for each (key takeaways, quotes, topic & keyword sets, summaries, and more) plus many more features—and growing daily! We're shipping fast over here! (Thanks to Rachel Perez Hosna Qasmei Kim Burgaard Benjamin Moon Rachel Magana Hari Ramachandran!)

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From Crypto Ice Age to AI Inferno- Gartner Curves or Extreme Weather Conditions Precipitated by VC? A few thoughts I've been reflecting on recently on learnings from being through many crypto cycles I can apply to this moment in AI investing... https://lnkd.in/d6KSM3EN

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Big announcement below! 👇 Let's talk about the current state of GP-LP affairs: 🤯Emerging VC managers have absolutely exploded over the past 5 years. 📈 At the same time, more and more data has surfaced that shows that emerging VC firms tend to outperform larger, established firms. 🤔 All of this has made it intriguing but tough for LPs to know where to direct their attention. 🛍 GPs frequently meet LPs at conferences who are window shopping but not committed to the asset class or emerging managers. 🧾 And both crews get overwhelmed by transactional convos. So Sydney Paige Thomas and I created Abundance. Abundance is a private, nomination-based retreat for active LPs and top emerging GPs to form new experiences together and build lasting relationships. Why Abundance? Abundance is knowing that there is more than enough for more than one to succeed. And a single win within a community is a win for the community itself. The journey of an emerging VC manager from 1st close to final close or Fund 1 to Fund 2 is (1) communal and (2) requires an abundant mindset. LPs look for structure and confidence to feel comfortable investing in early VC firms. Yet many of the feeds we scroll and conferences we attend reinforce inherent power dynamics and transactional thinking, which allows scarcity mindset to creep in for emerging GPs. Some of the best events I’ve attended have been intentionally non-transactional, e.g. Camp Hustle, Recast Summit, and other GPs’ AGMs. The fundraising success stories we see usually involve a community (usually of other GPs & LPs) coming together to support and open doors for the emerging GP. We designed Abundance to be an immersive gathering that fosters these connections. Starting tonight, ~100 GPs and LPs are descending upon Seattle for the inaugural Abundance retreat. This has been under wraps for months and I can’t wait to see it come to life! Thanks in advance to our awesome sponsors who were the earliest believers in this vision: Sydecar, Amazon Web Services (AWS), Gunderson Dettmer, & Zelda Ventures. And shoutout to my dad Ed Illig for logo design & Halle Kaplan-Allen being the first sponsor to say yes 🤩 Presented by The Council Capital & Symphonic Capital.

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This is just incredible. Neal Ghosh's demonstration of how #VentureIQ takes deeply technical and complicated content across a range of industrial use cases and ages/stages through an AI-generated conversational podcast (a la #notebookLM) is really mind-blowing. Check out his post, below, and if you haven't seen VentureIQ, yet, let's get you set up to learn more. You can visit VentureIQ.ai or DM any of us over here to book a demo!

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I’m thrilled to be announcing that Notion Capital is leading the $15m Series A investment in Cogna today. In the industry, we like to think that software has been eating the world. But when you look at the data a better description would be more of a nibble. Depending on what source you look at the software industry represents between 5-8% of global GDP. Contrast that with the services industry that represents between 60-70% of GDP and worth around $25 trillion on a global basis. Most services have been out of reach for the software industry. They have either been too complex or too specialized for off the shelf software to access in any economically viable way. But that’s beginnning to change with GenAI leading to the emergence of ‘service as a software.’ Cogna is at the forefront of this opportunity - building precision software at scale and delivering huge productivity gains for traditional industries. We know Ben Peters & Lars Mennen well having backed their previous company Five AI that was acquired by Bosch in 2022. And we’re very excited to be backing them again together with Hoxton Ventures & Chalfen Ventures Read my full blog post on why we invested here. Radu Bozga Ben Peters Lars Mennen Bryan G. Mike Chalfen Hussein Kanji Kirsten Connell https://lnkd.in/eh8mhcJb

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In our latest episode on the Practical Nerds podcast, Patric and I talk about our earned learnings on how founders (and other VCs) should choose the right (Co)Investors for their startup (Construction-tech or otherwise). Which of these do you agree with ? What did we miss ?

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The Glasswing team is excited to open source its proprietary Enterprise AI Adoption Framework. This Framework is built on over a decade of experience evaluating AI and frontier technologies combined with technical and operational expertise. It is designed to help founders, business leaders, and investors evaluate, select, deploy, and measure the impact of AI use cases and their associated solutions on enterprise businesses. A link to the Framework is below. Enjoy! https://lnkd.in/ejzmG6gV

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I really enjoyed breaking in our new studio to sit down with Temporal Technologies Co-Founders Samar Abbas and Maxim Fateev for the latest episode of Founded & Funded. Temporal was founded in 2019 based on an open-source microservices orchestration engine project but is the result of a more than decade-long partnership between the two co-founders that spanned their time working on different iterations of the same thing at AWS, Microsoft, and Uber. In this episode, Samar, Maxim, and I dive into the challenges of building an open-source ecosystem while also working on a commercial offering and scaling a successful company, how to navigate and adjust a product roadmap in an ever-changing world of AI and large language models, and how to successfully build an early startup team, navigate through a CEO transition, and bring on a startups first independent board member. It's a very compelling conversation and a must-listen for every builder out there. Watch the full episode on YouTube: https://lnkd.in/gymf9sES Find other platforms and the transcript on our website: https://lnkd.in/ggRtnKtM Be sure to subscribe to our channel for more deep dives into cutting-edge technologies and the minds behind them. Don't forget to like, comment, and share this conversation if you found it valuable!

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