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Andreessen Horowitz
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Jeremy Utley
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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Latif Peracha
It was a real honor to interview Brad Burnham co-founder of Union Square Ventures and partner Placeholder on the history of hype cycles in technology and the value they bring to capital and market formation. Brad has had tremendous success across decades investing at the frontier - when it was the frontier/ before it was obvious. Crypto is still the underdog and his views on the opportunity and its nuances are prescient. Specifically it is both a technical and financial innovation which can lead to excess volatility and a unique muscle as it relates to being a venture manager. But the returns are real. And the innovation is real despite some of the the common narratives. No one debates the breakthrough applications in AI at M13 we have been very active. It is also very clear that incumbents have massive data and distribution advantages which can make it challenging to find the right pockets to invest. AI is on its own hype cycle and as always the best teams (typically with contrarian takes) win. Very exciting times to be a venture investor.
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Morgan Cheatham
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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Today in VC
🔋 #TodayinVC - All of the biggest deal announcements in venture capital - July 10th, 2024. Sourced from Litquidity's Exec Sum. 💰 Fundraising Announcements: - AI robotics startup Skild AI raised a $300M Series A at a $1.5B valuation led by Lightspeed, Coatue, SoftBank Investment Advisers, and Bezos Expeditions (BW) - Captions, a GenAI video creation and editing platform, raised a $60M Series C at a $500M valuation led by Index Ventures (BW) - Volley, a startup creating voice-controlled games, raised a $55M Series C led by M12, Microsoft's Venture Fund and Lightspeed (FN) - Athletic Brewing Co., America’s largest non-alcoholic brewery, raised $50M at an $800M valuation led by General Atlantic (WSJ) - B2B payments and remittance startup NALA raised a $40M Series A led by Acrew Capital (TC) - Canoe Intelligence, a fintech for alternative investors, raised a $36M Series C led by Goldman Sachs (BW) - Command Zero, an autonomous and user-led cyber investigation platform, raised a $21M seed round led by TECH WEEK by a16z(PRN) - AI video tech startup Phyron AI raised a $10M Series B led by Round2 Capital Partners(FN) - Scaler, an ML-based decarbonizing platform for real estate, raised a $10M Series A led by Plural (EU) - The Lasso, an online car bidding platform, raised $9.8M in funding led by Crosslink Capital and Manresa Ventures(FN) - AI-driven behavioral modeling and big data solutions startup Synerise raised an $8.5M Series B+ led by VTEX (FN) - Biostate AI, a scalable biodata foundry startup, raised $4M in funding led by Matter Venture Partners (FN) - nodaFi, a facility operations platform, raised a $3.5M seed round led by Base10 Partners (FN) - Accend (YC S23), a startup helping fintechs / banks accelerate business clients' onboarding, raised a $3.2M seed round led by Adverb Ventures (FN) Congrats to all - what #startups do you have your eyes on? 👀 Follow @Today in VC for daily #venturecapital news! 📆
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Jim Forster
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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Daniel Fetner
Here’s a question investors are often asked: When evaluating early stage companies, how much time do you spend on due diligence around future exits? It’s not surprising we hear this question a lot. Also not surprising: it’s got a wide range of answers depending on the firm. Some don’t spend much time here at all. Others make it a point to put meaningful time in as part of their process. Our current thinking: take the time to do the work on public market comps. At Alpaca VC, we spend significant time understanding how public market investors will realistically value a business based on margin profile, product, business model & TAM. In short, we want to know: how will this company be valued at scale when we get taken out? Yes, we can acknowledge that the journey toward exit is a windy road and that there may be pivots along the way, but there are still public market companies that have a business model similar to the early stage company you're evaluating. And you can always look at gross profit multiples if you think the margin profile will change over time. So we still do the work on the comps. Quantitative metrics we look at when making the comparison to public market comps include EBITDA multiple, revenue multiple, Gross Profit multiple or all of the above. As part of this process, it’s also important to factor in the public market company’s year-over-year revenue growth as this will also significantly impact the multiple it trades at. Simple example: if you have two public market companies with similar business models and similar margin profiles, but one's growing 100% year over year, and one's growing 50% year over year, then obviously the DCF (discounted cash flow) analysis is going to spit out a very different valuation for the one that's growing faster. Why this matters: When you take all of that information into account as you evaluate an early stage business, you can begin to create a realistic picture of how this company will be valued in the public markets at exit - or how an acquirer will value the company for an acquisition. Strategic acquirers may, of course, pay a premium, but we won’t underwrite for that. This allows us, for example, to form conviction around valuation based on revenue and gross profit predictions. If we think they can do $100M of revenue five years from now, we use this diligence process to form a thesis about whether the characteristics above (product, margin, business model, etc.) will cause the company to be valued at $200M vs. $500M vs. $1B at exit. Curious how other early stage investors think about underwriting an exit and how much time they’re spending on public market comps even though these companies are in their infancy.
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Jeff Becker
The hidden years of inception stage. Founders & LP’s rarely understand that the journey of building a great company can involve up to three years of work before an early stage VC will get involved. h/t Peter Walker for the years from incorporation data from Carta https://lnkd.in/e5fFkvDt #vc #founders #investing Antler
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11 Comments -
Kenneth To
An INTJ Fund conversation with Julia Anderson about conversational AI and voice vs text as a modality. One important insight Julia talks about relates to the need of being discreet when it comes to using voice. This is why the most popular usage of a voice interface is at home devices. At home, there is less of a need to be discreet. This is not true at work or in public spaces. All the AI consumer hardware startups coming out have teams that are completely unaware that people want to be discreet in public or at work. Julia Anderson works on conversational AI for Bixby (Samsung's AI voice assistant). She previously was a consultant and graduated from Vanderbilt. Julia also moonlights as a DJ in Los Angeles - listen to some of her sets here on soundcloud: https://lnkd.in/gkMbjuUz Julia is lately thinking about how companies can make responsible decisions around AI and design in a way that values people's creativity and doesn't exploit people's data. If you know of any INTJ or ENTJ women working on AI products - I want to meet them and be helpful! Happy to connect people in my network to Julia! A link to the extended version of our conversation is in the comments where you can learn about how Julia uses Notion as well as post it notes for organization and planning. #AI #intj #venturecapital #womeninstem #computersciencestudents #aritificialintelligence #womeninai
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5 Comments -
Shaler Houser
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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7 Comments -
Salem Bagami
Seed VCs are turning to new ‘pro rata’ funds that help them compete with the big firms Alpha Partners, SignalRank and now SaaS Ventures help seed VCs pay for shares when big VCs try to price — or push — them out Lee Edwards, partner at Root VC, has a saying at his firm that “pro rata rights are earned, not given.” That may be a bit of a stretch since pro rata refers to a term that VCs put in their term sheets that gives them the right to buy more shares in a portfolio company during consequent funding rounds to maintain an ownership percentage and avoid dilution. Still, while these rights are not exactly “earned,” they can be expensive. One of the latest trends in VC investing these days are funds dedicated to helping seed VCs exercise their pro rata rights. https://lnkd.in/dRM3RvdA By Christine Hall
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Asher Siddiqui
Super helpful #Startup #Equity Calculator to determine the equity for early hires, thanks to Pear VC head of talent Matt Birnbaum! Thanks for sharing Pejman! 🙏🏼 You can read more here How to structure startup equity for early hires: https://lnkd.in/ggmpT5-Y Google Doc: https://lnkd.in/gjsvths6
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Daniel Ingevaldson
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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Garnet S. Heraman
Have you heard of #CapVC? It’s an application platform designed specifically for the use of #VC firms. Essentially, it’s a robust #AI-powered tool made to simplify the daily operations of managing a #fund. Isn’t that something, a VC funded start-up designed to help improve the productivity of VC funding! According to this article from TechCrunch, Cap VC is looking to become much more than just an ‘operating system’ — the company aims to be a simplified and extremely efficient way to run a VC firm: reducing digital clutter by turning PDF files, income statements and balance sheets into readable data, automating company suggestions based on the context of a VC’s portfolio, and more. Cap VC is currently developing native apps on Mac and Windows, alongside releasing an API so that developers can build on top of their foundations. So, are any of my fellow VCs interested in using this software? If not Cap VC, is there any interest for similar software to be created down the line? Are there downsides to using a third-party application like this? I want to know what you all think.
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Yuval Ben-Itzhak
Evolution Equity Partners is thrilled to lead the $16M investment in Cytactic! Cytactic is building a game-changing platform to empower companies to prepare for, respond to, and recover from cyber crisis events. The platform allows all stakeholders to collaborate effectively and handle the complexity of a cyber event in a simplified and orchestrated way. Gartner forecasts that by 2025, 75% of companies will face cyber attacks. With the average data breach costing $8.64 million, regulations tightening, and CISO professional liability and insurance becoming critical issues, this underscores the need for effective cyber crisis readiness and management. Cytactic equips companies to do just that. #cybersecurity #cybersecuritypreparedness https://lnkd.in/dvVZbDZq
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Mike Krenn
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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10 Comments -
Santi Subotovsky
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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Amol Sarva
What do bio and health applications mean for the next wave of AI -- specifically about compute? (I'm talking to you NVDA longs!) LifeX Ventures is hosting a super roundtable with some serious techbio leaders tomorrow along with Analog Century Management's Val Zlatev -- come hear Thomas Clozel Sean McClain Chetan Patel at 11am ET For the survey results based on asking 100 techbio CTOs and CEOs, join the call. Here, my own speculations after wrapping up the report: -- Amazon needs to have a GPU program on warp drive right now -- Nvidia needs to have a data center / cloud business in the works -- Edge AI chips are about to be everywhere -- in your watch, car, sneakers, thermostats, gene sequencers, spectroscopes -- All this compute needs way more data: expect a boom in sensors of all types -- Remember human genome moonshot that sequenced one person once? Now you can sequence your every cell one by one. Expect that for protein folding (AlphaFold was that moonshot) and other simulation uses, a full "twin" model of you, cell by cell -- Google has no angle here -- worse chips, worse cloud, worse models, worse phones / edge devices -- Specialty silicon for unique use-cases, lower-power, lower-memory are surely coming fast - like back in the day for mobile phones when Qualcomm, Broadcomm, Infineon, Mediatek, etc duked it out.
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Paul Hsu
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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LD Talent
We are thrilled to announce that LD Talent has been featured as a resource for the portfolio companies of 1517! This is a testimony to the hard work and dedication of our team in providing exceptional tech talent to growing businesses. A special shout-out goes to Danielle at 1517, who played an instrumental role in facilitating the listing of LD Talent as a recommended resource for 1517 companies. Our network has significantly expanded since the inception of this deal, and we continue to strive towards offering top-tier engineering skills to entrepreneurs and startups. As we celebrate this achievement, we want to thank our clients, whose valuable feedback continues to drive our growth and success. Here's what some of our clients have to say about our services: Our experience with LD Talent has been second to none. The level of expertise and professionalism within their network of engineers has been a game-changer for our business. Partnering with LD Talent has allowed us to scale our development efforts efficiently and with confidence. For more insight into our journey with 1517 and other notable funds, visit our blog post detailing how LD Talent became a go-to resource for portfolio companies: https://lnkd.in/dmiadKDg #LDTalent #TechTalent #EngineeringExcellence #StartupGrowth #1517Fund #ClientTestimonials #ProfessionalNetwork #StartupResources #TechIndustry #Innovation #PartnershipSuccess
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Jill Ratkevic
Seems the cat is out of the bag ... and a16z is only confirmation over at The Information, where the plan to roll out GPU time across their portfolio is being touted as "oxygen." "Andreessen Horowitz joins a small number of other VC firms that have also acquired access to GPUs on behalf of startups. Investing duo Nat Friedman and Daniel Gross last year acquired 2,512 Nvidia H100 server chips, estimated to be worth about $100 million, though the pair ran into the supply crunch and did not immediately get all the GPUs up and running. Index Ventures last year struck a deal with Oracle to rent GPU servers for some of its startups." True tale that although the GPU shortage has lessened as of late, how you manage the cost center is critical for launching a viable, if not profitable business and is a key requirement to a pipeline of portfolio companies that are at the leading edge of Still see VCs looking to secure GPUs or GPU time as part of the venture funding deal. Not all are straight up charging time on the GPU farm as a16z is overheard to be using as a model. Kate Clark writes, "Andreessen’s gamble on GPUs coincides with a restructuring and $7.2 billion in new funds, including one dedicated to just backing AI infrastructure startups, companies that provide the technology to support generative AI." Check out her piece.
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