Pratap Ranade

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).

10

5 Comments

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!

41

5 Comments

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 -->

53

2 Comments

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

22

9 Comments

Wonderful article about Emily Knight and the whole The Engine Accelerator team on the amazing work their doing changing the world with #ToughTech!

28

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

32

3 Comments

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

66

5 Comments

Open-source models can be a strong lever for increasing gross margins at AI companies, especially those that have hefty cost structures (e.g., enterprise sales orgs that require significant customer success or implementation resources, as well forward-deployed AI services models common in healthcare and life sciences). One of many reasons to maintain a modular and flexible stack with minimal dependencies when building an AI company. More on the importance of flexibility in the AI stack: https://lnkd.in/eA2XATRk h/t Delip Rao #ai #artificialintelligence #generativeai #healthcare

50

6 Comments

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

74

2 Comments

Looking forward to diving into the state of the late-stage venture market at TechCrunch Disrupt next week with Karthik Subramanian. With late-stage companies facing tougher paths to exit, we’ll be debating whether the market is actually rebounding, sharing our thoughts on the outlook for future IPOs, and discussing how founders can navigate these shifting dynamics. Hope to see you there! #TCDisrupt #VC

46

1 Comment

AI memory is fundamental for conversational AI and AI agents. It is critical for building personalized experiences and improving reasoning. Check out Letta’s course to understand how to use AI memory to enhance the customization and quality of your AI app.

15

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

86

4 Comments

Fascinating conversation with James Joaquin + Vinod Khosla on venture, founders and investing with intention for returns and a positive future. With a fun bit on the “shoes of AI”.

4

Excited to announce Frist Cressey Ventures' investment in Qualified Health and privileged to partner w/ SignalFire, Healthier Capital, Town Hall Ventures and others!   Healthcare costs are increasing at a faster rate than ever before, with the US spending nearly twice as other wealthy countries and still ranking bottom in outcomes. It's a story you've all heard - - US healthcare is known for astronomical inefficiencies, waste, workforce supply constraints, fragmented access, appalling patient experiences, and driving patients and businesses into debt.   Yes these problems present opportunities. But opportunities are limited to the system's appetite for change, desire and incentive to try something new and the innovation available. At FCV we believe we've hit the trifecta with Generative AI. Generative AI has given us truly transformational tools in the toolkit and the healthcare ecosystem is demanding to absorb its benefits. This perfect collision of supply and demand means healthcare is poised for big change.   Generative AI is everywhere, it's buzzy, it dangles hope and opportunity. But many things need to be true for the Gen AI transformation in healthcare to take hold, such as but not limited to:   💡 Patient lives and data need to remain safe: We believe in a highly regulated and human life-touching sector such as healthcare we must ensure Gen AI can drive to unrivalled savings and improvements in the quality of care WHILE not putting patient lives or data at risk.   💡 Systems need to own their utilization of Gen AI: We believe systems will use some hybrid of external partners and homegrown solutions but importantly will want full control of data provisioning and utilization as well as the ability to solve an unlimited number of nuanced issues and not cookie cutter algorithms.   💡 Costs need to be looked at on an enterprise level: We believe the speed of innovation in Gen AI means costs will continue decreasing dramatically but at an enterprise level this will still not be a small detail. Systems will want the ability to understand costs and delegate as needed for the outcomes desired at the organizational level.   Enter Qualified.   We knew when we met Justin Norden, MD, MBA, MPhil and team we were standing in front of changemakers. These individuals have lived and breathed the true application and implementation of Generative AI far before we were asking ChatGPT to write our emails. In fact, if you’ve ever driven in a Waymo you’ve benefited from past products this team has built.   Qualified Health is on a mission to enforce governance in Gen AI, allow systems to rapidly build for their needs, monitor and make decisions for all GenAI (homegrown and external) and accelerate the value the sector can glean from these new technologies.   Huge shout out to William T., Tommaso Auerbach and Jamie Kuntz for their hard work!

240

14 Comments

Here’s HBR’s take on some of the ways VC and PE firms are deploying an alternative data strategy to gain a competitive edge for their brand and portfolio: 1. Algorithmic sourcing - distilling the novel from the noisy: detecting patterns, trends, anomalies. 2. Due diligence - the old school way is often constrained by time and resources: VCs are deep diving, deploying LLMs to do a full analysis (see pharma example in article). 3. Portfolio company value creation: VCs and talent sourcing, Eg; one VC aggregated Google Scholar, GitHub, Quora, Kaggle, and LinkedIn to identify specialized talent to help assemble strong teams for their port cos to kick (and reach) their goals. Even with AI, effectively harnessing the vast amounts of external data is no small feat. Info is highly fragmented and uneven in quality, and demands dedicated resources and expertise to assess what’s most likely be useful, and navigating the thousands of products on the market. Onwards! #AI #Investing #PrivateMarketInvesting

13

2 Comments

DePIN & RWAs dominance isn't as far off as most people think. Across every innovative cycle, three fundamental pillars emerge: foundational technology development, proliferation of infrastructure, and a surge in application development. As we venture into the third cycle, DePIN and RWA protocols are poised to become market leaders paralleling the dominance witnessed by infrastructure projects from 2015 to 2024.

28

2 Comments

Wow, great stuff on this first episode. I got the run down from Ataes Aggarwal and Arya Satish, and I see that critically important business and life topics will be covered in this podcast series. Follow, tune in, and spread the word. PSA: Some super thoughtful and practical content to be had here with this podcast. 🙌

14

1 Comment