Le Zhang

This is what I mean when I say AI x DEEPTECH A revolution is coming. Upending entire swaths of our economy that have been previously ignored. Nearly $10 Trillion of our GDP rebuilt with AI and software.

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The New York ecosystem for dual-use technology is small but strong and growing rapidly. Thanks to companies like Decisive Point and @a16z who continue to support the community with networking events for founders, investors, and community members. More and more founders are recognizing the value in partnering with the DOD as a strong way to support the country's national security interests while hopefully decreasing the tax burden on citizens regarding government spend as commercially available technology becomes more available and affordable for government organizations. Not only this, but the DOD serves as a great test bed and sandbox for emerging technologies and talent. #dualuse #emergingtech #defensetech #Kilsar

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Coming soon on Aug 1: "Transformation to a Fresh Tomorrow." This is theme of our 3rd Annual Web3 Investor Day, as we welcome the innovators and investors convening in Chicago for these discussions around the next generation Internet. Our theme reflects the optimism, determination and commitment investors and innovators have solidified off the depths of the bear markets to drive success in the bull markets. Broader investor optimism suggests that fresh institutional funds into Web3 across both tokens and equity may endure.  Across adoption metrics, customer interest and developer activity, Web3 seems to have normalized. It’s refreshing to see the transformation and next evolution of Web3 and it’s refreshing to meet many of you on August 1.  And yet, even with the improved optimism from last year, there still remain open questions in the development and adoption of our next generation Internet:  1. the balance of speculative versus productive investor capital in this current cycle 2. the productive role of liquid trading capital in fostering Web3 innovation 3. the attractiveness of venture investments in follow on financings 4. the role of policy and regulation that may enhance innovation 5. the continued developer activity to improve the underlying infrastructure 6. other Web3 recovery characteristics in target customer use cases. We remain committed to navigating regulatory shifts, fostering investor optimism, and building the customer use cases for Web3.  Physical spaces enhance our innovation conversations.  In person relationships foster our collaboration.  Relationships drive breakthrough innovations.  Reach out to Rizza Torres at Decasonic if you would like to join us! #web3investorday #web3 #venturecapital

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We've mapped the 250 most relevant early-stage startups within the European data ecosystem! 🚀 Our coverage spans categories like Data Collection, Storage, Integration, Security & Privacy, and Platform. Discover how these startups are leveraging AI 🧠, the most active sectors 👩‍💻👨‍💻, and key funding trends 🏦. Don't miss the simple table listing all the companies! 😀 #AI #Europeanstartups #MMCresearch #vcfunding Advika Jalan

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āltitude: 𝐑𝐞𝐦𝐨𝐭𝐞-𝐅𝐢𝐫𝐬𝐭 𝐅𝐮𝐧𝐝 We're excited to learn more about remote work from co-founder Matteo Benedetti from our portfolio company Debtist in our SME Tech Leaders webinar "Scaling your Startup Remotely" 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://lu.ma/mqgwi5p0 When Marc, Ingo, and I started āltitude last year, we did it remotely from Berlin, London, and Zurich, meeting monthly in person. Our team has since expanded to include Torge, our Chief of Staff, and Fernanda, our visiting analyst, currently based in Luxembourg and Munich. Post-pandemic, we believed against the consensus that building a firm apart was possible—we just had to prove it. Remote work naturally sharpens our focus on priorities, which is crucial for any business but also comes with challenges. Here’s how we’ve approached remote work: 𝗖𝗿𝗲𝗮𝘁𝗲 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆: We utilise tools like Notion, Asana, Google Docs, Shared Google Calendars and Folk. We also streamline our financial operations by using our own portfolio company cleverlohn for payroll. 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝘁 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: We hold daily check-ins—morning for strategic decisions and afternoons for operational priorities. If needed, we schedule dedicated calls for deeper discussions on strategic topics. Regular in-person meetings in different cities keep us connected without the overhead of a permanent office. 𝗖𝗹𝗲𝗮𝗿 𝗧𝗮𝘀𝗸𝘀, 𝗥𝗼𝗹𝗲𝘀, 𝗮𝗻𝗱 𝗧𝗿𝘂𝘀𝘁: Remote work demands trust as you cannot see what people are doing, which we build through clearly defined tasks, deadlines and roles. This clarity ensures that everyone is aligned. 𝗗𝗲𝗳𝗶𝗻𝗲𝗱 𝗞𝗣𝗜𝘀: Understanding what outcomes need to be achieved every quarter is key. Especially as we continue fundraising and deploying capital. 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗖𝘂𝗹𝘁𝘂𝗿𝗲: Our culture is built on radical candor and transparency, ensuring everyone is working towards the same goals. Open discussions and quick feedback loops allow us to address issues openly. This environment encourages accountability and continuous improvement. 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗗𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲: We meticulously discuss and document our processes via Loom recordings, google docs or notion so everyone understands how things are done. Regular iteration on these processes helps us stay disciplined and efficient. This is particularly important in a remote setup where discipline is key to consistency. 𝗣𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴: We anticipate predictable workload:, such as attending events (booking travel/meetings) and LP updates, by planning and working ahead of time. This allows us to be proactive rather than reactive, a necessity in remote work where spontaneous problem-solving isn’t as easy. These strategies have enabled us to build and scale our venture capital firm remotely, proving that it’s possible. #scaleup #venturecapital #remotework

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Juniper Square recently released their look back at the state of venture in Q2 2024, and the data is interesting. 👉 The liquidity drought continues to stifle fundraising, with $37.4B committed to 255 funds YTD. 👉 In the current climate, established managers are securing 77% of fund value YTD, the highest concentration in the last decade.  👉 Over 63% of capital raised in 2024 so far is in funds of $500M+, the second-highest percentage in the last decade. 👉 Q2 reflects an uptick in US venture deal momentum, with quarterly deal count climbing to the highest level since Q2 2022. 👉 Q2 data shows a third consecutive upward quarter in both exit value and the total number of exits.  👉 Q2 hit a 9-quarter high in total number of exits, and the total exit value recorded was the second-best quarter since Q1 2022. The data shows that the landscape is especially competitive for emerging managers. When it comes to generating returns though, a fresh perspective can help find the most interesting deals. I wrote a bit about this last week, if you’re curious to dig into stats on unicorns at the seed stage, and the funds they’re raising from. You can check out the full report from Juniper Square here: https://lnkd.in/eN6VnY-k #emergingmanagers #stateofvc

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

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I like this idea of "technical taste". It gets into where software engineering is as much creative art as it is science. Four great takeaways (IMHO) for software devs in this era in particular: 1. Aspiring engineers should cultivate a sense of curiosity, experiment with different tools and technologies, and embrace a mindset of continuous learning. 2. AI has the potential to streamline processes and enhance productivity for engineers, but it may also lead to disruptions in traditional software development workflows. 3. Developing technical taste and judgment is essential for making informed decisions about which technologies and approaches to pursue. 4. Collaboration and open-mindedness are key to leveraging the full potential of AI and staying ahead of technological advancements. I also really liked these two quotes from Sam Schillace: 1. "The right time to do something is when you have that feeling in the pit of your stomach that's like, 'oh, this is a great idea and it's going to suck to build because nothing's ready yet.'" 2. "Technical taste is like, 'how well have you consolidated that set of experiences and heuristics into judgment that you can apply accurately when you see new things?'" 3. "It may be the case that very small teams can do very large projects, or like we were talking about before, it may be the case we're just going to get really ambitious about what we try to do with the same size of teams, which is kind of where I would put my money." Great job on continuing to put out great episodes, Brett Berson and team First Round Capital! #ai #engineering #softwaredevelopment

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👀 Looking at our recent investments at Draper Associates, here’s what standout founders nailed, making our decision to invest much easier (and faster): 💥 Visionary Tech with a Bold Vision – These founders are not here for incremental wins; they’re reimagining what’s possible in across tech - biotech, robotics, aerospace, and beyond. Their vision is big and audacious, tackling complex problems that demand breakthrough solutions, others have not been willing to try. 👊 Clear Passion & Purpose – The drive in these founders is undeniable. They’re committed to their mission with a depth of purpose that shapes every choice. One founder, for example, took two years completely off to learn and meet everyone in longevity biotech. This level of grit and dedication is rare but essential for the most impactful founders. 🌟 Assembling All-Star Teams – They bring together top-tier talent from diverse disciplines: experienced business leaders with successful exits or industry experience at top companies, technical co-founders with deep expertise, often PhDs or industry pioneers, and even published authors. It’s a complementary team, unified by a shared vision. They make the: "Why this team?" obvious - at a glance. 💻 Data-Driven to the Core – These founders present data insights that show why their approach is unique, especially against a competitive field of companies. This data is delivered with clarity and they make the complex simple. Many are published in top journals, adding depth and credibility to their approach, and reinforcing that they know their tech inside out. ⚡️ Memorable, Clear Vision – They don’t just pitch; they make the future feel tangible, with a vision that’s both compelling and concise. If I can relay their pitch in under 30 seconds to my team, they’ve killed it. 📣 Transparent & Proactive Communication – The best founders don’t wait for questions. They come prepared, often with a comprehensive FAQ doc, give timely updates to our questions, and are candid about challenges. This level of openness builds trust and strengthens our partnership. 💸 Milestone-Driven Funding Strategy – Each funding stage aligns clearly with already achieved or upcoming achievable milestones. They’ve mapped out a roadmap that minimizes risk at every step, giving us confidence in their journey. 💰 Revenue Milestones Along the Way – Even if it'll take a decade to hit revenue on their big vision, these founders find revenue generation stops along the way to profitability. They share a trajectory that connects early wins to revenue, showing how every step is a building block toward their bigger vision. Overall, the best founders are incredibly thoughtful, prepared, and fantastic verbal / written communicators. #founders #startups #fundraising #VC

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Insightful look into bioplatform strategy, and what it takes to raise a Series A from my partner, Omri Amirav-Drory: https://lnkd.in/dFv7GbF6

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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

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Vishal Sachdev highlights the strategic integration of open source and proprietary tech in architecting tech stacks, developer ecosystems and resulting business models. The world class companies effectively balance value commoditization in open source and value capture in proprietary tech. This is the strategic challenge for companies operating in #blockchain and #AI. I believe those who operate at the intersection of blockchain *and* AI stand to win this strategic battle...

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if you know, you know le cunn v elon since 14 may 2020. 4 years of le cunn shooting the first shot. good on elon for calling his sh^t out. turing prize winner (b)eing infantile. and we wonder where (ai) is headed with these types of characters being entertained. truly. truly. truly. mad. judging from this 4 year (almost to the day) hate fest as started by le cunn, prob a good idea for zuck Meta to let him go. as in bye bye. that would be fitting. wouldn't it? knighted by macron. a godfather of ai by way of the 2019 turing prize. advocate for open source. and a sh^t on top of that. do we really want these types of folks leading the way for (ai)? do we? do we want to sit back and allow these le cunn.s to flourish? do we? do we want to invest into these types of characters. do we want them as a sign a signal that you can get away with being a genuine di&k. just because you were part of the story. the good news is that there are many now who can take over the mantle. the lead. and the le cunn.s can go le f' off. into the sunset and alone in their pathetic attitudes. we wonder what (ai) will lead us to. have you considered for a moment the openly evidently lack of honore. this knight of france. mon dieu. fun memories. really. je te regrette, yann. a big big yawn indeed. rn. ;) ty for launching this era. quitte. my sense is this french duck is about to be cook(ed). and he has no one but himself to blame. that hatred has no place in the future of creating this era of ai as it requires a (hu)manity. and this apparently is sorely lacking with le cunn. and has been going on for years. zuck. are you there. you get the message. time for someone else a bit more say humble to help usher in (ai) (hu)manity wouldn't you say. i'm just say'n ;) i'm reminded of how steve jobs answered a tough question or rather criticism here: https://lnkd.in/ggt6nYH4 it was mindful, thoughtful, aware. more of this pls source: https://lnkd.in/e8Rzw7Kf < . >

Generally surprised to not see more hardware vendors in healthcare and life sciences partnering with AI-first companies. When the zone of genius of a company is hardware, it's difficult to imagine that same team achieving parity on an AI product – Apple may be the greatest example of success in this realm, and still has secured many AI capabilities via targeted M&A (Siri, Turi, Xnor.ai, Voysis, Inductiv). Given the importance of leveraged distribution models in the ossified industries of healthcare and life sciences, it seems there is untapped opportunity for more hardware manufacturers to partner and co-develop AI products with startups. Control over the way data is captured and processed is critical for building high quality training data sets, which creates an interesting feedback loop between hardware companies and potential AI-first startup partners. Interested to explore this further with folks in healthcare and life sciences hardware!

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Science-fiction is inherently speculative. Author George #Orwell of ‘#1984’ predicted concepts such as doublethink, little earbuds and society’s obsession with the black mirror screens that dominate our lives — and according to the BBC, novelist and short story author JG Ballard, of “High-Rise” and “Crash” fame, has predicted the current tool and cultural fixation of #GenerativeAI in the modern society — only he didn’t just speculate them within a story, he is actually one of the first use-cases of a generative AI used in a creative context — Ballard was so fascinated with the growing technological advancement of computers that he used one to compose poems, essentially the precursor to what we have now with ChatGPT. Today, the debate about the creative use of generative AI and its value on creative industries is an extremely fraught and controversial topic, but if controlled in a space that doesn’t replace human labor or try to equate itself to traditional art forms, it is interesting to see what computers can do and how they are creatively limited in comparison. Ballard’s two poems, The Yellow Back Novels and Machine Gun City are generated, and both include notes on how Ballard achieved producing them. Regardless of quality (Ballard himself probably wouldn’t describe these two poems as his best work), it is interesting to see primitive versions of the technology that we utilize on the daily today, and how these moral conversations that concern them would continuously evolve.

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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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Smart execution is the key to success in hardware startups Boom Supersonic's Blake Scholl discusses: - The importance of leveraging existing technologies - Refinement over reinvention - Prioritizing practical and user-centered design

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