Pete Soderling

Many people have asked that I share the keynote presentation from Coatue’s East Meets West conference from this past June. This gives a great perspective on both public and private markets and how we see the impact on investing. #coatue #venturecapital

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 🔥 "How many engineers does it take to replicate Docusign as a software product in 2026?" Sarah Guo dropped this thought-provoking question at last week’s panel. Answers from the eng/product leaders at top companies were eye-opening: Scott Densmore: 10 engineers Romain Huet: 5 engineers Ainsley Escorce-Jones: Just 1 Lee Robinson: 1-2 engineers Say hi to a future where rewriting major software might be simpler than you think. Reach out to me if you are planning to do that! 🙋🏻‍♂️ PS: Take a look at what Gil Arditi is working on at Morph.ai 💡 #software #sdlc #softwaredevelopment #llm #ai #ml #largelanguagemodel #copilot #gpt4

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What do you do when a radical new technology puts your main product right in the crosshairs of disruption? Listen to David Okuniev — co-founder of Typeform | Ask awesomely — discuss the challenges of innovation within existing structures. David shared a game-changing insight: Radical innovation is really, really difficult to do inside your own product. He emphasized the need to break free from the constraints of familiarity and embrace change from outside the box. Henrik Werdelin and I have both seen our fair share of this in our respective careers. What struck us most was how David leveraged structure to overcome the innovator’s dilemma. By creating a culture of experimentation and providing space for bold ideas, he propelled Typeform beyond incremental improvements. What other hacks have you seen or employed to help your organization overcome the innovator’s dilemma? Share your stories below! 👇 And if you want to dive deeper into our conversation, click the link in the comments to catch the full podcast episode!

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Just shipped this week's Diaspora.nz podcast with Paul Copplestone, founder & CEO at Supabase. We talk about: ⚡️why open source is an unfair advantage — as a product development strategy, supercharging recruiting, and helping build customer community. ⚡️how they are building the end-to-end tech stack for AI startups — seeing many customers grow into the millions of users in just weeks, growing to be one of the most tagged products by makers on Product Hunt + most redeemed Y Combinator “perks.” ⚡️raising $116M, and scaling to ~80 people in 30+ countries over the past 4.5 years, operating as a distributed + asynchronous team. ⚡️building three startups over nearly a decade living in South East Asia. Subscribe + listen links in comments below👇 Subscribe at diaspora.nz for weekly episodes 🎧👈

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Very excited that VitalStage Ventures is a small part of Groq’s new round of funding. We are all-in on AI infrastructure as the picks and shovels enabling this new generation of innovation. With respect to Groq, we particularly love their new hardware + software approach to accelerating AI inference. Just try out Groq.com and you can sample what the fuss is about. Having specialized Language Processing Units (LPUs) for inference enables dramatic performance gains at higher efficiency with less thermal impact. And now by hosting models via GroqCloud, Groq lowers the barriers for teams to be able to leverage many models without having to set up and deploy their own AI infrastructure. #ai #groq #ainative https://lnkd.in/gcEcXfme

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And my second investment at defy is in 🐶 zeroETL puppies 🐶... I mean PuppyGraph, which is all the beauty of a graph database, none of the data migration or continuous upkeep of a graph database. Sounds like magic? So are puppies 🐶 . Puppygraph is NOT a graph or a database. It is graph analytics engine that answers graph questions on your existing data warehouses, whether that is a Databricks datalake, Google BigQuery or postgres. Compared to SQL, it's faster, handles way more complexity, scales and has almost no upkeep. How did I get to conviction? 1. Tailwinds - 🌊 Lakehouses 🌊 have helped enterprises put all their data in one place, enabling Puppygraph to unlock insights previously unavailable. - 📚 LLMs! 📚AI and RAG cannot easily traverse fragmented data. Puppygraph's Graph RAG unlocks insights with their Knowledge Graph and spoonfeeds to the LLMs. 2. 👯 Team 👯 We have graph experts from Google, LinkedIn, Databricks, Tigergraph, and Instacart who are uniquely able to build this solution. 3. 💸 Customers 💸 . My alma mater Coinbase is a proud user. The feedback from my former colleagues was off the charts! A blockchain is very much a graph database and Puppygraph tracks down fraudulent transactions that go through mixers and helps identify patterns. Huge congrats to Weimo Liu Danfeng Xu Lei Huang Zhenni Wu Gary Hagmueller, defy.vc is proud to be an investor!!

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🎙️ Exciting Podcast Announcement: Insights from a Successful Bootstrapped CEO! I’m thrilled to share that this month on the Scale Up Valley Podcast, we have a special guest: Aytekin Tank , Founder & CEO of Jotform and bestselling author of Automate Your Busywork. Curious about the two essential rules of a bootstrapped CEO leading a team of 700? In this episode, we sit to discuss his incredible journey as a founder. We’ll dive into valuable insights on: 👉🏻 Maintaining expenses below revenues , The power of teamwork in scaling your business & several other things . This is an opportunity you won’t want to miss! Tune in now on all your favorite podcast platforms and get inspired by a true industry leader! 🎧  #Podcast #Leadership #Entrepreneurship #Jotform #ScaleUpValley

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In this week's episode of the Mobile Dev Memo podcast, I speak with notable X personality Trung Phan about the evolving social media landscape, and how to tame the mayhem and pandemonium of X. https://lnkd.in/dVHMzbui

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"If you're relying on AI not becoming 100X better, you're about to get steamrolled." -- Jason Warner, ex-CTO of Github and CEO of poolside How we code and build software is being rapidly transformed with AI. Sitting down with Jason the future looks clearer. Over the next 5 years: 🌏 All 7 billion people can code 🏗️ Search bars will spit out software 🔋 AI will generate its way out of data scarcity 🌩️ Foundation models to become cloud companies I unpack the 5 year frontier of software development in Future of Code: AI-led Software Development https://lnkd.in/gze2QSbu #AI #Software #Code

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We just concluded Embiggen X’s strategy for 2025. For almost two years, we’ve experienced conversations and priorities shift for large companies - more focus on innovating the core the business and less on non-core innovation initiatives. We’ve seen large global companies in the west close down their innovation labs, corporate venturing units, and let go of non-core innovation teams — or at the very least, decreased spending in venturing activities. This is also true for large corporates in Southeast Asia. Simultaneously, we’ve been getting into conversations with CEO’s asking more questions on AI & Digital Business Transformation. No, I’m not talking about building apps. We’re getting questions around: - How do we rewire the “guts” of our operations for us to be able to “scale profitably”? - How do we fix our “spaghetti & siloed” operations? - How do we make sure that we don’t just “buy more” off-the-shelf tech platforms that don’t talk to each other and complicating our already inefficient ops? - How do we increase our NPS score by transforming our customer experience? - Can you help us build a holistic digital business transformation strategy and help us execute too? - How and where can we use AI to become grow better? This is why Q4 of last year in the midst of business challenges, we decided to shift focus from Corporate Venture Building and spin off an AI & Digital Business Transformation company, Embiggen X (https://lnkd.in/geVM4BCF), from the Embiggen Group. Within less than a year, we’ve expanded our operations in Southeast Asia to Europe and 2024 as our highest revenue & profit generating year. We’ve served companies from Insurance, Supply Chain, Telco, Conglomerates, Construction, and Consumer Services to date. We help from Strategy to Execution. I’m beyond grateful to the operating team that made this new chapter of our journey possible. Embiggen X Managing Partner & COO, Xavier (X) Marzan; Partner & Head of Europe, Nicolas Souvlakis (calling in from Switzerland); Junior Partner & CAO Bien Herrera; Partner & CTO Robert Newgen; Chief Growth Advisor Gary de Ocampo, GICD; Advisory Board Member and Incoming Board Director Cliff Eala; Head of Artificial Intelligence Miguel Testa (calling in from Canada); as well as more partners, clients, and supporters. Big goals & challenges up ahead. Excited for whats to come. Onwards & upwards. 🚀

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The Stoke Space team in Seattle has built a rocket company faster than many people can build software. Morgan Beller breaks down how this is helping them capture a huge opportunity: https://lnkd.in/gc5jv2-c 

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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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Over the past two years, Integral Labs had the privilege of contributing to the creation of the Polkadot Community Foundation. Polkadot has already pioneered one of the most active and robust DAO governance systems to date, including tokenholder management of a nine-figure treasury. As the DAO continues to mature, the need to represent and serve tokenholders’ interests off-chain has become increasingly apparent. That’s where the Polkadot Community Foundation comes in. Designing the corporate structure, governance, and operating model, Integral Labs joined a working group led by our friends at Actum Node with a mission to extend the reach of Polkadot's onchain governance into the offchain world. This project was a first in the industry, with a novel design that stands apart from traditional DAO "wrapper" structures. Unlike foundations that subsume treasury assets and delegate limited powers back to the DAO, the Polkadot Community Foundation works as an optional, unopinionated side-car entity that any DAO member may utilize in their proposals. This ensures the DAO retains full autonomy and control of its treasury while enabling offchain activities such as holding real world assets, entering commercial agreements, making fiat payments, owning IP, and more—all for the benefit of, and under the explicit direction of, the tokenholders. The governing documents and bylaws are open source and available for future use by Polkadot or other DAOs. We hope is that this modular design becomes a blueprint for a future constellation of real-world businesses to permissionlessly cooperate and compete to serve DAOs by extending their existing onchain governance systems. The Polakdot community voted with over 98% support to establish the Polkadot Community Foundation. Now incorporated, community members have begun to publish treasury proposals that utilize the foundation, including the creation of what will be the first mobile app owned by an open community, and increasing accountability for vendors and service providers in the ecosystem. You can read more here: https://lnkd.in/ebCJKsjD Integral Labs is proud to have contributed to this project alongside Michael D'Alto of Actum Node, James Hutchings, ACA, CFA, Theo Louw, Michael Preston, and Kevin Foster-Archibald CA(SA) of Autonomous, Edward Noyons of Marfire, Matthew Shaw and Gregory Peacock of Webslinger Advisors, Glenn Kennedy of Leeward Management Limited, Jonathan Bain of Bridgestream, Ignatius N., Jonathan Hernandez, and David Manadom (formerly) of Fenwick & West, Melissa Lim and Justin Wretham of Walkers, Björn Wagner, Raul Ignacio Romanutti, Dieter Fishbein, and the Polkadot community.

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There is a lot to chew on in this great article by Maggie Appleton (Maggie Appleton), called Barefoot Developers. About how large language models might enable new kinds of software, free of the demands of industrial scale, unicorn-ness, and venture capital. Software that might be made for, say, a dozen people. If you are involved in software, this is worth your time to read. https://lnkd.in/eZA_uVYf

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Founderville believes one of the most significant opportunities is emerging in legacy system applications. We look for manual tasks to leverage AI for efficient automation. Rather than chasing massive TAM, which will be addressed by larger VCs, we focus on smaller market domains that won't be chased as hard. Think of "boring" processes that require human intervention or manualized tasks. Those are opportunities. Keep your eyes open if you have deep domain expertise in a non-automated and fragmented industry. #entrepreneurs #venturecapital #startups #saas

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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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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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Many assumed that the industry would be well on its way to AGI or superintelligence before AI model builders’ efforts to take advantage of scaling laws might hit a wall. Recent headlines are chipping away at that assumption. One question I've been getting in my inbox: is this the era of diminishing returns for AI? We don't think so. Even if an avalanche of new clusters and synthetic data fail to deliver significantly better model performance, there are good reasons to believe that AI is still going to become orders of magnitude more powerful in the coming years — powering a new generation of startups and ultimately productivity growth and positive benefits for mankind. In fact, with agents and reasoning just beginning to scale and thousands of industry-specific models coming online, it's about to get really exciting. Read our latest blog post on the topic: https://lnkd.in/gFhniNX8

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