Vetri Vellore

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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I first met Mike Maples, Jr in 2010, when Founders Network was just an idea. Over the years, Mike and his team at Floodgate (special shoutout to Arjun Chopra) have been great mentors, sharing their insights and guiding our founders. Most recently, their advice played a pivotal role in helping us launch Founders Network Fund. Today, Mike shared the key ideas with FN'ers from his new book Pattern Breakers (https://a.co/d/buKBd5O ), which explores the insights he’s gained from backing companies like Twitter, Twitch, and Okta -- and which put him on the Forbes Midas List 8x. This is the most important book on startups in the last ten years, according to Steve Blank. My notes on the key concepts of his talk: 1) Inflections – "not a trend but a change event that represents a turning point in our ability to provide empowerment." e.g. The GPS chip in iPhone 4s 2) Insights – "a non-consensus and right insight about the future that's powerful and non obvious and leverages inflections." e.g. Lyft = GPS + strangers driving you 3) Founder future fit – "Living in the future before other people live in the future and then try to build what's missing in the future." If you're a founder, check out the book. Grateful for the impact Mike and Arjun continue to have on both me and the Founders Network community!

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🌉 San Francisco's Surprising Comeback: From 'Doom Loop' to Renaissance? Recent data suggests that San Francisco, once trapped in a pandemic-induced 'doom loop', is showing strong signs of recovery. Here's what's changing: 📈 Positive Trends: - Population Growth: Net gains over the past two years, with domestic in-migration positive for the first time since 2012. - Housing Market: Median home sale prices up 1.2% YoY to $1,427,500 in June. - Job Growth: The Bay Area added 7,400 jobs between January and June. Downtown Revival: Foot traffic beyond typical work hours has recovered to over 90% of pre-pandemic levels. - Crime Reduction: Property crime down 32% and violent crime down 14% in Q1 2024 compared to Q1 2023. - AI Boom: The city is positioning itself as a hub for the AI revolution. 🚧 Ongoing Challenges: - High office vacancy rates - Homelessness and drug crisis - Lagging tourism and business travel 🔑 Key Initiatives: - "Vacant to Vibrant" program offering free rent to businesses in empty storefronts - Increased police patrols and encampment sweeping - Crackdown on open-air drug dealing 💡 Expert Insight: "The rising AI empire is giving the city a new edge. Funding, talents, and culture related to the AI revolution will help the city turn the corner." - Lu Chen, Senior Economist at Moody's Analytics 🤔 What's Your Take? Are these positive trends sustainable, or is it too early to declare a comeback? How can other cities learn from San Francisco's recovery strategies? What role will AI play in reshaping urban economies, particularly in tech hubs? https://lnkd.in/gCnPCBRU

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I just bought a national subscription to American City Business Journals (ACBJ) so will be posting more articles from their network of 44 journals. The Puget Sound Business Journal was our primary source of regional business intelligence in the 1980s to early 90s, and it was instrumental for many younger growing companies, including Microsoft, Costco and Starbucks, among others. They are often the only pubs who cover important business news. When I filed my original core patent application in 2006, Google had 4 AI patents. In 2023, they had 1,870 AI patents. While there has been a massive spike in recent years due to the LLM hype-storm and Big Tech priority, what this really tells us is almost everyone was behind Google in AI -- and KYield frankly in our focus areas. It also tells us there is an LLM bubble. This article cautions on what occurred with the blockchain and the metaverse where there was a similar spike of investment and patents followed by a 70% bubble deflation. I expect that to occur in LLMs, but unlike the above mentioned -- AI has enormous value for consumers and businesses. We just need to plow the massive piles of noisy junk off the road so we can deliver the value. "Rather than obtaining patents with an eye toward suing competitors," Love said (Brian Love, Prof. of Law at Santa Clara University School of Law). "Silicon Valley companies tend to build portfolios for the purpose of deterring competitors from suing them." This is precisely our strategy at KYield. I decided not to pursue a portfolio of patent applications related to our Synthetic Genius Machine invention a couple of years ago for several reasons, including industrial espionage that ignores patent law (China is the leader but far from alone), the high costs associated with a complex IP portfolio, and other higher priorities. NM has some unique challenges in IP. Due to the national labs, there is plenty of IP, but there is precious little support for IP-related ventures as government dominates the economy, and government is an extremely poor early adopter. They not only have obstacles galore, they usually lack motivation or incentives. NM biz environment is primarily gov't contractors, mom & pops, a few mid-markets, & non-profits / quasi-gov't entities like healthcare and universities. The state VC fund is the only VC game in town of any size, and that's a political game. Otherwise, NM has a lot going for it... location, climate, affordability, science, infrastructure, but it is a challenged regional economy. There is no support like we experienced and provided in Seattle or SV. Even AZ offered a few options in the 90s. That said, there isn't any reason businesses can't thrive here -- it just requires a lot more energy and money to break through the early obstacles. We have quite a few now that are growing nicely. Several right here in Rio Rancho. Stay tuned.

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We're launching the inaugural edition of Beyond Benchmarks, a deep dive into the metrics and trends observed across the early-stage enterprise cloud market. This is the first look at some of the business data around GenAI in SaaS. Some initial observations: 1) 60% of SaaS companies have already integrated GenAI into their offerings (60% of these as part of their current product and 40% as a new product), and an additional 20% are planning to do so this year. Almost half aren't monetizing these features. Those that are are primarily experimenting with both usage-based and flat fee pricing models. 2) Most companies are utilizing OpenAI as their primary LLM, but many are experimenting with multiple models - and we are noticing an early trend towards intelligently routing GenAI inference requests to different models based on cost, performance, and security. 3) Though we are in the initial innings of GenAI, we are seeing some positive signals - companies that implemented GenAI had 7% higher NDR than those that did not. Still early days, but we'll be doing this benchmarking report regularly to track and share how things progress in this new era. Link to report in comments.

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India is not just catching up in the AI race; we're innovating and leading in ways that are uniquely ours. The Economic Times recently highlighted how our approach to Generative AI goes beyond just Large Language Models (LLMs), addressing the specific challenges and opportunities within our diverse market. Rahul Agarwalla, Managing Partner at SenseAI Ventures, shared his invaluable insights into this AI revolution. His leadership and vision are truly driving innovation in the field, and it's an honour to be part of this journey with him. For anyone interested in the developments in AI and how India is making its mark on the global stage, this is a must-read.

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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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Instacart is a market leader when it comes to leveraging AI tools to boost productivity at work. I had an amazing conversation with JJ Zhuang, Instacart’s Chief Architect, who has shepherded over 50 AI-driven initiatives to market across the org. We explored what catapulted Instacart to the forefront of AI integration, supporting radically diverse use cases across various functional areas. One striking insight (echoed by Ethan Mollick and others elsewhere) is that you often don't need specialized tools for specialized work. Frontier models like GPT-4 can seamlessly adapt to a wide range of functions and use cases. They're not just for engineers; they're incredibly versatile tools used by marketing, comms, and legal teams. From generating code to proofreading and ideation, GPT-4 empowers every department to leverage AI for enhanced productivity and innovation. By integrating LLM’s like GPT-4 into their workflows, teams can streamline processes, automate repetitive tasks, and unlock bandwidth for new creative possibilities. How can you harness the power of AI in your own work to boost productivity? Share your thoughts below 👇 Want to hear more insights from JJ? Check out the full podcast episode by clicking the link in the comments.

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Grammarly just acquired startup Coda (last valued at 1.2bn) with a goal of a possible IPO. This could be a big move in productivity, especially for product teams. Coda CEO Shishir Mehrotra was recently on Lenny's podcast (first comment below). https://lnkd.in/gmgfcm2P

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As we explore a seed round of VC funding for Avnir, a mentor has driven into me to "interview them as much as they'll do their due diligence on you!" When I consider professional etiquette important to me (and probably every serious founder), I am reminded of what I've coached hundreds of executives on over the past two decades: "Your culture is a culmination of behaviors you're willing to tolerate!" So, here is a Top 10 List of Professional Etiquette crucial to long-term strategic relationships between VCs and founders: 1️⃣ Respect for Time—Punctuality, Efficient Communication, and Timely Feedforward are demonstrated and genuinely felt. We would both rather me invest time in building the business. 2️⃣ Transparency—Clear Expectations, Honest Feedforward, and Disclosures on conflicts of interest or resource limitations save everyone unnecessarily wasted cycles! 3️⃣ Professionalism—Politeness, Confidentiality, and Objective Evaluation allow courteous interactions, respect for proprietary information, and avoiding bias in evaluating the founder's meritocracy. 4️⃣ Empathy—Understanding the Journey and Constructive Dialogue acknowledge the uphill battle founders face while avoiding unnecessary criticism and providing supportive guidance, demonstrating a genuine interest in their vision. 5️⃣ Integrity—Fair Terms, Follow Through, and Avoiding Overpromising honor commitments during discussions, and create realistic expectations from the relationship. 6️⃣ Co-Creation—Value-adding Mindset and Team Player Attitude accelerate the founder's ability to gain traction and position the VC relationship as transformational vs. simply transactional. 7️⃣ Humility—Avoiding Arrogance, Condescension, and Open-Mindedness acknowledges that both parties have unique expertise to add and enhance the receptivity to unconventional ideas, approaches, and perspectives. 8️⃣ Listening Louder—Present, Engaged, and Clarity of Intent eliminates distractions, brings out what's not being said, and jointly crafts better questions to help uncover the unknown and the undiscovered. 9️⃣ Encouraging—Supportive Communication, Positive Reinforcement, and Inspiration help celebrate small wins and key milestone achievements. It's ideal to light a fire within the relationship rather than under anyone, which seldom lasts! 🔟 Playing the Long Game—Relationship Nurturing and Post-Investment Care establishes the runway for a lasting partnership rather than simply pitching a deck and closing a deal. After the investment decision, sustaining the relationship will determine the partnership's long-term perspective. Jason M. Lemkin, Peter Bell, Cassie Young, and Ed Sim - you exemplify world-class in the relationships you build with your founders. Did I miss anything? #VCFounderRelationship #AlignedExpectations #RelationshipsMatterMoreThanEver

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In an era where innovation outpaces regulation, how can entrepreneurs embed social responsibility into the DNA of their startups? 🌐💡 Recent conversations and insightful pieces, particularly one by Lyel Resner and Dr. Wilneida Negrón, have sparked a profound consideration in my thinking: the imperative for responsible innovation in tech ventures. They posit a tantalizing question - what if the tech giants of tomorrow were built on the foundations of public interest and social responsibility today? Diving into this thought experiment reveals more than just an ethical proposition; it opens up a paradigm where businesses can be both profitable and purposeful. Embedding social responsibility from the outset could guide ventures to prioritize long-term societal well-being over short-term gains. Imagine a future where companies are not just evaluated by their financial performance but also by their contribution to solving societal issues. The notion is ambitious but certainly not unattainable. This approach challenges us as entrepreneurs, investors, and innovators to rethink our roles in shaping the future of technology. It's a call to action to pioneer a new wave of responsible businesses that are equipped to address, rather than exacerbate, global challenges. Let’s discuss: How can we as part of the startup ecosystem integrate these principles into our work from day zero? Your thoughts could light up paths not yet traveled. 🚀🌍

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An interesting article below, that demonstrates out how San Diego is punching above its weight.  And how Connect's strategy and execution over time, contintues to be central to that success. The article describes the current state of the market in Seattle.  (And i love Seattle.) It's a market that we tend to track with relative to venture fundings.  They used to kick our butts, we outraised them each of the last three years.  This despite the fact they have 3x as many funds there, and 9x the amount of resident capital there. (per pitchbook) Some key takeaways:  * They continue to compare themselves to SIlicon Valley. Instead, we leverage our proximity. *They whine there's not enough local investors (see note above - they have more than us). We bring over 200 VCs to SD annually! * They say founders are not connected with one another. We bring CEOs together regularly, in a variety of ways - private dinners and through our Springboard program. * They say they need to elevate their image on a national & international stage. Why we created and continue to build Five.Ten.Thirty (aka Inno Day).  * And the last paragraph - they need to concentrate on making their region a great place to live. Our mantra: "It's about Better, not Bigger." (See XEO, TL Fund). THANK YOU FOR ALL OF YOUR SUPPORT. WE ARE ON A MISSION TOGETHER!!!  (Comments, whining, suggestions on SD always welcome.) https://lnkd.in/g6Rq_f2Y

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I had a nice catch-up with an investor this week who spoke about how AI start-ups have evolved their strategies from pure infrastructure plays to more verticalized applications. The rationale was simple: if there is no market for applications, who is buying the infra? Of course applications require more focus and prioritization on a smaller set of customers with more niche use cases. Many founders are resistant to that, because it lowers the TAM (in the short-term anyway) and shifts the focus from the technology itself to customer pain points and value props. But without a customer, there is no viable product, and without a product, investors are only willing invest for so long. Even Microsoft is not immune to this reality. No matter how much any company invests in a solution, they still need a market to pay for it.

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New Thesis - Beyond Language: An Introduction to The Transformational Potential of LxMs A core tenet of the new firm I am building is to generate sectoral theses in areas that I believe can lead to outlier returns. Over the years, I have been fascinated by novel foundational technology catalyzed by open ecosystems - and the impact they can have on areas beyond language. In this post, I introduce the concept of LxMs - a new thesis I am developing - and how they will impact various sectors. Follow along our series for in-depth insights and case studies on how LxMs are transforming various industries. We will explore how these advanced models are revolutionizing fields such as scientific intelligence (biology, chemistry), industrial intelligence (robotics, manufacturing) and gaming (design, engines, modeling, simulation). Read our intro and stay tuned for our subsequent posts. Huge props to Archit Gadhok for co-piloting this with me!

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I'll be co-hosting a Cap Table Management Workshop with Fidelity Investments on Tuesday, 11/19! This will be part of a series of Startup Workshops that help founders with practical tips and actionable learnings. If you are a founder looking to raise future rounds of funding, this workshop is for you. Learn how to create, manage, and scale your cap table! https://lu.ma/vp0tzwtm

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📚 "Knowledge is Power" - that's no longer true ❌ Since the launch of generative AI, I have witnessed first hand how this piece of tech can speed up jobs for those in education and learning & development in so many and such profound ways that I cannot deny its value for those facilitating education and those receiving it. Everyone in the value chain, from school leaders, to teachers, to lecturers, students, their parents, all could stand to benefit. It seems apparent that KNOWLEDGE is NO LONGER POWER as the saying goes. If knowledge isn't power anymore, then what it? I believe it's the ABILITY TO USE KNOWLEDGE INVENTIVELY, ADAPTIVELY, CRITICALLY, and JUSTLY. The inventive, adaptive and critical consumption and use of knowledge can help us breakdown complex problems and design solutions to counter them. These are emerging 21st Century Competencies that our young need to have before they enter the unpredictable and fast paced world, whose rate of change is exacerbated by AI made available for the lay person. But to do so JUSTLY is something else - it's more than just being responsible in our use of knowledge. It demands a selfless desire to want to use it to benefit the persons next to us, even if we don't get anything back out of this gesture to help them. It demands we see each other as human, with the dignity we deserve at birth. This is the Human Agency at its core. And when knowledge can be used this way, the world will be a much better place that it is now. Do you agree? How can educators help learners use knowledge inventively, adaptively, critically and justly? I welcome you to join the conversation and share your thoughts! #AI #knowledge #humandevelopment #education #change #21CC #learninganddevelopment

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