Jeff Bonforte

🌟Innovative VC Firm Overcomes Exits Drought with Secondary Sales🌟 ⛵Navigating a challenging landscape where exits are scarce, Santa Barbara Venture Partners (SBVP) has pioneered a novel approach to sustain its growth and attract investors for its second fund: secondary sales. Instead of waiting for traditional exits like IPOs or acquisitions, SBVP opted to sell shares of its portfolio companies, demonstrating its ability to generate returns for investors and stand out in a competitive market. 🎤According to Dan Engel, founder and managing partner of SBVP, these secondary transactions have been a game-changer, sparking investor interest and bolstering the firm's credibility. By leveraging its recent successes, including a lucrative stake in sports-betting company DraftKings Inc.' acquisition of digital lottery app Jackpocket, SBVP seized the opportunity to return profits to its limited partners (LPs) and pave the way for its second fund. 💡Engel highlighted the challenges faced by young VC firms in raising subsequent funds, particularly amid a downturn in exit activity and heightened investor scrutiny. With traditional exit routes becoming increasingly elusive, the pressure is on for firms to demonstrate tangible returns and establish a track record of success. ✨"For us, secondary sales have been a game-changer. They've helped us return profits to our LPs and attract investors for our second fund," said Dan Engel. 💰For SBVP, the decision to pursue secondary sales was driven by the need to provide liquidity to LPs and validate its investment thesis in the eyes of prospective investors. By strategically offloading portions of its holdings in high-performing portfolio companies like Bark Technologies and Rad AI, SBVP not only generated substantial returns but also bolstered investor confidence in its ability to deliver results. ⚠Despite the complexities and potential stigma associated with early share sales, Engel emphasized the importance of prioritizing investor returns and seizing opportunities to unlock value for stakeholders. With a focus on profitability and transparency, SBVP remains committed to its mission of delivering sustainable growth and maximizing returns for its LPs. 🔍 "Returning profits to our investors is our top priority. By strategically selling shares, we're proving our commitment to delivering results and driving value for our stakeholders," added Engel. As SBVP continues to explore secondary transactions and expand its investor base, the firm stands as a testament to innovation and resilience in the face of market challenges. 🚀 ✅ Looking to raise capital for your #fund and increase the international pool of your LP #investors?   🤝 Need warm #LP introductions?   📝 Selling #secondaries to increase liquidity?   🧐 Looking for co-investments?   ▶ G+QUANT's link for inquiries and fund decks: https://lnkd.in/gjC_EuTE #VCInnovation #SecondarySalesSuccess #InvestorReturns #ValueCreation 

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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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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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I really like this PMF Framework from Sequoia. https://lnkd.in/gT2nWttx

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Want a front-row seat to the frontier of tech? We’ve got the role (or two) for you! We’re expanding our frontier-tech team at Blackbird by hiring a Frontier Tech Investments Associate and Foundry Fellows! Got questions? We've got answers... 1️⃣ What are the roles? 🧪 Associate = a full-time VC investment gig in our Blackbird Investments team, working directly with me. We’re looking for someone with a science and/or engineering background and more curiosity than they can handle. You’ll grow your own investment brand and practice, support our portfolio founders, and will help build Foundry, our early-stage frontier-tech accelerator. ✨ Foundry Fellow = a casual/contract gig in our Blackbird Investments team, ~15h per week for 3 months. The Fellowship is ideal for PhD students and ECRs who want to learn more about startups and VC. You’ll go deep on emerging areas relevant to your expertise (or curiosity!), get a front-row seat to groundbreaking companies in those areas, build out your non-academic network, and develop a solid writing practice. 2️⃣ Why are you hiring? We love frontier tech, and we’re ready to grow our team. 3️⃣ Wow, it’s so great that you’re starting to look at deep tech! Look, we get it: we don’t make a lot of noise about our frontier tech investing. Buuuut we’ve been deep-tech investors since we backed Tim Kentley-Klay to found Zoox back in 2014—we’ve been on incredible journeys with PsiQuantum (building the world's first utility-scale quantum computer right here in Australia!), Inventia Life Science (transforming drug discovery with high-fidelity cell models), Remedy Robotics (surgical robots for remote endovascular procedures), Opto Biosystems (minimally-invasive neural implants to treat cancer), and more. We believe that frontier technologies, and great frontier-tech investing, will be part of the solutions to the greatest problems humanity faces today. 4️⃣ When do applications close? May 31st at 11:59pm AEST. 5️⃣ I have more questions! I’m sure you do! Clare Birch and I are hosting an AMA to answer any and all questions about these roles. Want to know what a week in the life of our team looks like? What’s keeping us up at night? What our ideal candidate looks like? Come along and find out - registration link in the comments 👇 Apply for these roles: Associate - https://lnkd.in/gCfj4EUJ Foundry Fellowships - https://lnkd.in/gj6ATZVZ If you know anyone that we should meet, send me their details! Cameron Elise Ben Andrew Robin Joseph Adelaide James Olivia Lucinda Raghav Jesse Christie Mohamed Tom Amee Pablo Haya Loong Hon Joshua Benjamin Megan Harry Denzil Matthew Diana Daniel Tom Deanna Justin Amar Lilly Stone Thomas

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Let's finally get rid off the "VC alphabet song" and redo the system to become more founder friendly. "The benchmarks set by funding stages are often arbitrary and not necessarily aligned with the actual development needs of individual startups." #vc #venturecapital #founder #fundraising #startups #fundingstages #funding #fundingrounds #pitchbook

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Greed and Fear, AI (adoption) style. In investments we're used to talking about greed vs fear, now we're seeing this same pendulum applies when it comes to consumer sentiment towards AI adoption. Concern is fear, that's obvious, and if you think about it a bit excitement comes from a form of greed in this case: the excitement for AI is because people hope it will help them do more with less time and effort invested - a greed for precious resources (which can be translated to money as well). Consumers need to invest some time, effort, as well as money in order to come up the AI learning curve (learning the right tools and how to prompt them). Playing around with AI is one thing, seriously using it professionally or personally is a bigger step that will be affected by the greed vs fear. It's too bad Pew Research Center didn't separate out professionals' opinions in a professional capacity (link to findings in the first comment), but still they find that for the first time the majority of Americans are concerned. The increase in concern (fear) happens just as research is starting to demonstrate that AI is making people more productive, which should have fueled excitement (greed). According to Ipsos, two thirds of people think AI will profoundly change their daily life in 3-5 years. Almost half say it already has (link in second comment). Interesting... And now this entire post rewritten by LI's AI: Greed and fear are familiar concepts in the world of investments, but did you know that they also apply to AI adoption? Consumer sentiment towards AI is swinging back and forth between concern and excitement. Concern is fear, and excitement is a form of greed. People hope that AI will help them do more with less time and effort invested, a greed for precious resources. However, investing in AI requires time, effort, and money to learn the right tools and how to use them. Playing around with AI is one thing, but seriously using it professionally or personally is a bigger step that will be affected by the greed vs fear pendulum. According to Pew Research Center, for the first time, the majority of Americans are concerned about AI. This increase in concern happens just as research is starting to demonstrate that AI is making people more productive, which should have fueled excitement. Ipsos reports that two-thirds of people think AI will profoundly change their daily life in 3-5 years, and almost half say it already has. What are your thoughts on the fear vs greed of AI adoption? Share your opinions in the comments. #AI #fear_greed #investment #genAI

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One of the earliest questions we ask of founders is: what milestones do you hope to achieve with funding? The reason we ask that question is that it's next to impossible to raise your next round of financing without having delivered some level of quantifiable progress. And most importantly, that progress must be sufficient to attract the next round of funding. If you can't get there, you're looking at an extra 50-65% dilution if you have to raise a bridge round. But here's the key, even bridge investors, who are generally already invested in the company, want to see progress that trends to the next round. So, in order to avoid having to raise a bridge, raise enough capital to hit meaningful milestones (with some cushion). That extra 2-5% dilution stings far less than an extra 15% later.

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There's a massive disconnect between VCs and Founders and it boils down to a differing perspective on two critical things: Timeline and Success Outcomes Timeline: VCs: Venture Capitalists typically think in timelines of 5-10 years. Their job is to understand various markets, where they're headed and then make decisions on what will be the key infrastructure in those spaces. They understand that there are going to be big shifts in their portfolio over the life of a fund and don't really get too bogged down on week to week things (unless they have to put a term sheet in!) Founders: Founders are flying by the seat of their pants, trying to make big things happen every day. They'll make projections for a few years but often think tactically about what's in front of them. They are often so busy putting out fires and operating on day-to-day basis that they don't have time to think about the next 2 years. Success Outcomes: VCs: Many VCs expect 75%+ of their portfolio to end up being worthless in the long run. The reason it's sometimes hard for them to care as much is because the success of their fund is not predicated on any one startup success (unless it 100x in which case it can return the fund in its entirety). I've heard of scenarios where VCs have acquired other fund's stakes in startups only to ignore founders because they didn't think those companies would be successful. Founders: This is their baby! They don't view failure as an option and want desperately to succeed. If it fails they likely will have spent years of their lives and hundreds of thousands on their dream to end up having to shut it down. VCs don't feel this pain nearly as viscerally as founders. When it comes to making an investment decision, this disconnect can drive a wedge between founders and investors because neither truly sees the other's perspective. VCs can be wildly successful being right 30% of the time. Founders get maybe a few chances to make it happen. #founders #startups #vcs

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Earlier this year, we surveyed our fellow Los Angeles-based GPs to get a pulse check on the LA venture ecosystem. Here’s what we found: 💗 Deal flow is healthy, and most LA venture investors (68%) are seeing the same or more deal flow YoY. ✈ LA investors are spending time in a variety of markets, with NYC, Austin, and SF following closely on LA’s heels. 🔍 Innovation is concentrated in AI and machine learning, space, and commerce. 💸 Funding is happening, but it’s barbell-shaped, with deals concentrated at the early and late stages. Funding post-Series A has been challenging. 🚩 LA is differentiated, but not without its challenges. Key difficulties include not attracting enough AI talent (despite having the largest number of engineers graduating from our region over any other in the United States); talent relocated to more tax-friendly or less expensive locations; and the great SoCal / NoCal divide 🙏 Thank you to all our many respondents! I’m so glad to be part of a venture ecosystem that includes great minds like Anna Barber, Brent Murri, W. Christine Choi, Sarah Tomolonius, Rob Smith, Win Chevapravatdumrong, John Tabis, Jill Royster, Jesse Draper, Ashley Balla, Britt Danneman, Tram Lai, Carmen Palafox, Elaine Russell, Deborah Benton Amanda Schutzbank, Brian Lee, Petra Griffith, Minnie Ingersoll, Shamin Walsh, Gabe Greenbaum...wow, this list could go on forever...plus too many other exceptional humans to name. You know who you are! Explore our findings more deeply with our survey dashboard: https://bit.ly/3JsaLaB

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I am honored to host Nolan Bushnell for a fireside chat at TechCon SoCal 2024 in San Diego on May 24th. We'll discuss how his innovations at Atari laid the groundwork for today's tech landscape and what lessons we can draw for the future. 🌟 Why Nolan Bushnell is a Must-Hear for Every Tech Enthusiast🌟 🕹️ Pioneering the Video Game Industry: Bushnell's creation of Atari and the iconic game Pong marked the beginning of the video game era, democratizing technology through entertainment. By democratizing technology through entertainment, Bushnell made electronics and computing accessible, inspiring a generation and catalyzing the tech ecosystem. 👔 Redefining Startup Culture: Bushnell invented a new breed of Silicon Valley entrepreneurs: visionary, bold, and nonconformist. His management style and the work environment he fostered at Atari—including laid-back elements like beer and ping pong—helped set a template for Silicon Valley's informal and innovative corporate culture, influencing giants like Google and Facebook. 🌱 Innovating Venture Capital: Bushnell became a crucial pivot in VC history by becoming the first example of how new business models over technology advancement become VC "fundable". Sequoia Capital's first seed investment concept in Atari demonstrated the profitability of supporting early-stage consumer tech businesses. It broadened VC horizons to include software and entertainment, impacting how venture capital operates today. 🚀 Driving Silicon Valley's Evolution: The Foundation of Silicon Valley was Arthur Rock funding Fairchild Semiconductor & Intel, establishing the semiconductor industry, and putting the silicon in Silicon Valley. The expansion phase was Don Valentine's investment in Atari, expanding the focus from hardware to software and entertainment, creating the video game industry, and expanding Silicon Valley's tech ecosystem. Bushnell's role enabled the Transformation Phase of Silicon with the 1980 IPOs of Apple and Genentech, showcasing SV's innovation breadth across multiple sectors. 🔗 Enabling Icons: Bushnell provided Steve Jobs, who did not have a college degree, with his first job inspiration for the idea of bringing computers to home users, invaluable introductions and opportunities, and influenced the birth of Apple. 🎮 Inspiring Future Innovators: By integrating fun into computer use, Bushnell likely accelerated technological innovation by making computing appealing to those who might not have otherwise engaged with it. His work at Atari made the daunting world of computers relatable and exciting, inspiring many future founders and technologists. Nolan's influence is evident in the increased computer literacy and the surge in tech-driven career interests among the youth of his time. Connect with over 80 early-stage investors and hundreds of founders from San Diego, the Bay Area, Austin, Denver, and New York. Explore more about the event at https://lnkd.in/gTYMN65n

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Suppose you are a VC, Early investor, or CIO trying to keep your eye on the industry trends. In that case, you’ve probably heard already about hallucinations, context shifts, and accuracy measurement problems in LLMs. These scary concepts kill motivation to invest in LLM-based projects and build RnD departments. Are they really so scary? Yes, but just for now, you have a good strategy to cope with them. Is this strategy already known? Yes, old but still one of the most effective approaches- knowledge graphs in combination with fresh new RAGs will allow you to keep your models free of hallucinations, stable in accuracy, and easily adaptable for context change. Btw, do you know that knowledge graphs are seeing as one of the most impactful AI enables during this year?🙌🏻 How big companies like Deutsche Telekom and Microsoft are seeing the future of LLMs adoption you can find here https://lnkd.in/d4B3t56z

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Interesting concept to rename rounds by milestones. But "Series Client Expansion Extension" just doesn't have the same ring to it 😋 . Maybe we can start incorporating it into a descriptor to add context, "Series Seed Extension: client expansion." #startups #venturecapital

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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

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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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Lesson for first time founders. "As much as they want to be your friends, the fund comes first (as it should)." As hard as it sounds the VC business evolves around a fight for survival first and being friends as a distant second. #openvc #investmentmanagers #assetmanagers #fundmanagers #venturecapital #assetallocation #limitedpartners #returnoninvestment #pitchdeck #fundraising #vc #vcrelationships

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