Eric Ries

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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In our latest episode on the Practical Nerds podcast, Patric and I talk about our earned learnings on how founders (and other VCs) should choose the right (Co)Investors for their startup (Construction-tech or otherwise). Which of these do you agree with ? What did we miss ?

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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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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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GPTZero has skyrocketed to profitability within 18 months, raking in millions. With 500% ARR growth in six months and user growth from 1 million to 4 million in a year. While many AI-detection companies struggle with accuracy, GPTZero excels, leveraging vast data and advanced LLM models using the latest open-source tools. Initially celebrated for helping teachers spot AI-generated student work, GPTZero's clientele now includes government agencies, grant writers, hiring managers, and AI training data labelers. One founder noted, "We have a big data advantage with millions of examples of human versus AI-generated text," proving the quality of data fed into AI models is crucial. https://lnkd.in/gREnQ2ps #ai #sustainabledevelopmenttechnology #emergingtechnology

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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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Despite the headwinds many software companies (even public ones) are facing today, there are still those that are delivering great results. Check out how the top decile companies in our Beyond Benchmarks survey are performing. And don't forget to review the full report for many more insights on the state of private software businesses.

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Once you’re in it, you’re in it. #Startup #founders don’t just take financial risk - they invest years of their lives. For many, it’s absolutely worth it. To me, the first task is the most important one: to define your target and make absolutely sure it’s one worth that level of investment.

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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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Allocate just released an analysis on a dataset of 253 venture funds, with only pre-2019 vintage years being included. The analysis shows a clear negative correlation between high risk / high reward investment profiles and size of venture fund, i.e. the smaller the funds, the higher the performance, but also the higher the risk. Two ways that LPs can mitigate the higher risk of smaller funds: 1. Diversify across more emerging managers, and 2. Invest across vintages with said managers. Here are the details: Small Funds (0-100MM): Mean TVPI: 4.3 Standard Deviation: 2.4 Median Portfolio Companies: 26 Mid-Sized Funds (100-250MM): Mean TVPI: 3.6 Standard Deviation: 2.0 Median Portfolio Companies: 24 Mid-Large (250-500MM): MeanTVPI: 3.0 Standard Deviation: 1.2 Median Portfolio Companies: 35 Large (500MM+): Mean TVPI: 2.7 Standard Deviation: 0.9 Median Portfolio Companies: 43

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One of the most frequent questions our team gets from founders is… “How do I approach a token launch?” So we put together a playbook covering the how, when, and what, as it relates to token launches. Here are the posts: How to navigate token launch risks: https://lnkd.in/dG4cMSqQ Getting ready to launch a token: What you need to know: https://lnkd.in/dYNFwAZn 5 rules for token launches: https://lnkd.in/d_ZvShnT How to launch a token: Operational guidelines from creation to custody: https://lnkd.in/d9sS6A2t Miles Jennings, Adina Fischer, Justin Simcock

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Tiferes Ventures is an AI-centric VC firm founded by Clark Valberg, co-founder and former CEO of InVision. Tiferes believes in eating their own dogfood, and recently organized an internal hackathon, in which all team members had to experiment with creating Custom #GPTs for the respective processes they ran. Michael Rubin, SVP Strategy and Chief Legal Officer, put together an excellent presentation for the hackathon on how the Tiferes team can and should use #AI throughout their processes.  This presentation covers:  -Best practices in prompt engineering for a VC firm -Creative ways to use Custom GPTs  -And provides many sample prompts At Coolwater Capital and PEVCTech, we strongly encourage all of the funds we work with to rethink regularly how they run their firms from the perspective of: how we can use AI to enhance efficiency? Link to slide deck in first comment. Disclosure: I’ve advised Tiferes on various matters in the past. #venturecapital #vc 

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“You can have a great product, but a compelling story puts the company in motion” - Ben Horowitz Understanding your company’s narrative is crucial when looking for investment. 🚀🚀🚀 Particularly in DeepTech where a good narrative makes complex ideas easy to grasp and compelling to hear. It involves more than throwing together some facts and figures; it’s about finding a message that resonates with your audience on a deeper level. It should never be a one-off effort. It should always be a continuous process of refinement through iteration, collaboration, and honest feedback. 🔁 What problem are you trying to solve? Have you asked your customers? Have you solicited honest feedback? In the end, it's about answering the all-important question… Why should they care? 🤘 #narrative #venturebuilder #deeptech Cambridge Future Tech

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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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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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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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