Eric Engineer
Austin, Texas, United States
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Eric Engineer reposted thisEric Engineer reposted thisIntroducing the world’s first prediction market for sales teams, Opine Bets. Today, April 1st 2026, marks a new era of sales technology. The premise is simple. Any employee of your company can bet their own money on which deals are in and out of forecast, and pays them out if they’re correct based on the odds. - Bet that your teammate is going to win their deal - Bet that your teammate is going to lose their deal - Get paid 💰 CROs are already saying, “Opine Bets is completely changing the way that our sales teams are operating. It’s the most accurate sales forecasting method I’ve ever seen.” Opine continues to push the boundaries of what is possible in sales tech. I’m super grateful for all of the hard work from our team. Special shoutout to a few of our engineering team members who’ve put everything they have into this: Charlie Duong Adam Williams Phil Gates-Idem Grayson Hansard Luis Pedro Bonomi #sales #gtm #startups #revops #presales
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Eric Engineer shared thisCongrats to the Mavvrik team on the launch of the market's only truly *FULL STACK* AI Cost Governance solution!Eric Engineer shared thisAI investments continue to skyrocket, and yet very few organizations can tell you what they spent last month, which teams drove it, or what it costs to serve a specific feature or customer. By the time the bill arrives, the spend has already happened, and tracing it back is days of stitching together exports from systems that were never designed to talk to each other. That's the gap we built Full Stack AI Cost Governance to close. It extends what Mavvrik customers already use for cloud, on-prem, SaaS, and GPU cost management to cover GenAI services and agentic workloads, including a new SDK for agent-level cost tracking. One system, connected cost data, clear attribution. Check out our press release and blog to learn more. And reach out if you'd like a demo! https://lnkd.in/gWcJjryX
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Eric Engineer shared thisExciting opportunity for builders in Austin/Seattle to join a great team at a fast growing startup!Eric Engineer shared thisNow hiring: builders, fixers, and ‘wait… I have an idea’ people. MontyCloud is growing fast and we’re just getting started. After closing our Series B, we’re investing in the next phase of our journey: scaling how MSPs operate, automate, and monetize CloudOps. We’re hiring for roles where you’ll: • Own meaningful problems • Build alongside smart, curious, genuinely kind people • Grow with a company that’s at the edge of something big If you like turning ambiguity into momentum and ideas into impact, you’ll feel right at home here. 👉 Explore open roles and apply: https://hubs.la/Q0416YVp0 #WeAreHiring #CareersInTech #Startups #CloudOps #MontyCloud #NowHiring
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Eric Engineer shared this🚀Eric Engineer shared thisToday, we are THRILLED to share that MontyCloud has closed our Series B! Over the past two years, MontyCloud has grown rapidly, achieving 400%+ CAGR in cloud spend under management and 192% CAGR in recurring revenue as adoption accelerates across MSPs and enterprises. The next phase of cloud growth demands a different operating model. MontyCloud is helping teams move beyond manual CloudOps to an autonomous approach that scales without added complexity or overhead. This new round, led by Riverside Acceleration Capital, gives us the opportunity to move faster, invest in product innovation, expand our go-to-market footprint, and support more partners and customers around the world. We’re incredibly grateful to our investors, customers, partners, and the MontyCloud team for helping us reach this moment. 🚀 👉 Full announcement here: https://lnkd.in/gEyZabdW #SeriesB #CloudOps #Startups #MontyCloud
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Eric Engineer shared thisExcited to announce our latest venture fund! 🎉 I feel incredibly lucky to work such amazing colleagues and to partner with incredible founders and startup teams shaping our collective future. I learn something new from them every day! CC: Yash Sabharwal, Ryan Shillington, Luke Guerrero Andrew Schulz, Kevin Locraft, Hersh Tapadia, Darrell "Jeremy" Freeman, Doug Neumann, Shaw Terwilliger, Gard Bruce A Mayer, Luke Norris, Matthew Wallace, Patti Soch, Sundeep Goel, M.S. S., Walter Rogers, Venkat Krishnamachari, Akash Ganapathi, Austin Kelleher, Charlie Duong, Ryan Walsh, Greg Kuhlmann, Lucas McGrew, Ryan Arnett, Dave Gullo, Mark HellingerEric Engineer shared thisOn our 20th anniversary, we are thrilled to announce our latest venture fund to back the very best entrepreneurs in Texas and across the country! With our $250M Fund VIII, we will continue to lead Seed, Series A, and Series B rounds in business and healthcare technology companies. A huge THANK YOU to the visionary founders and teams with whom we have partnered over the last two decades. Their 75+ startups—spanning 13+ states—have raised $3.5B+ with 40+ currently active and 35+ exited for $3B+. At a $1B+ AUM, we are the largest and longest-serving VC firm born in Texas and investing nationwide. More importantly, with our single LP model, we are structured to deliver what matters: patient capital, true resources, and big impacts! Read more on our new website: https://lnkd.in/gmQvyrBQ Brian Smith, Charlie Plauche, Eric Engineer, Aaron Perman, Joe Curry, Nicole Bentz, Sarah Morgan, Anthony Marfisi, William Omberg, Kevin Haley, Kathryn Deebel, Shelley Graves
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Eric Engineer reposted thisEric Engineer reposted this🎉 We’re thrilled to lead Opine’s $5M Seed and partner with Co-Founders Akash Ganapathi, Austin Kelleher, and Charlie Duong! Opine's AI-native workspace is built for technical sales teams—centralizing intelligence, collaboration, and deal context into one system, replacing fragmented spreadsheets, docs, and legacy tools. Users across Sales, CS, PS, and Product rely on Opine daily to surface customer needs, track progress, and stay aligned on opportunities. And the best part? Revenue leaders consistently told us that Opine's AI delivers true ROI—driving more wins, faster sales cycles, shorter time-to-value, and stronger retention. 🎉 We’re proud to back such an innovative team alongside Knoll Ventures, Atlanta Seed Company, Gray Ventures, Propel Venture Partners, Triangle Tweener Fund, and WndrCo. Announcement 👉 https://lnkd.in/gn9VTEiP
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Eric Engineer shared thisThrilled to be partnering with Akash, Austin, and Charlie at Opine as they re-imagine pre+post sales in the AI era. Why did we invest? 1. They are a special team -- combining a deep, customer-centric understanding of the problem (having lived it!), technical excellence, and a bold vision! 2. Their product is magical and beloved by users across multiple departments -- Sales, CS, PS, and Product -- with many living entirely in Opine -- no longer relying on spreadsheets or having to use painful, legacy CRMs. 3. When we spoke to customers, they credited Opine with ACTUALLY delivering on AI's promise of ROI: higher win rates, faster sales cycles, shorter time-to-value, and stronger retention. ... and they are just getting started!Eric Engineer shared thisToday we’re announcing that Opine has raised nearly $5M in funding, including $3M in fresh funding led by S3 Ventures! It's been a beast of a journey since Austin, Charlie and I incorporated Opine in 2023 with literally just a team and the vague idea of helping complex B2B tech vendors sell, grow, and adapt more efficiently. I never thought that mission would allow me to go all in on building for presales engineering, which was my previous leadership role at a unicorn startup. This round is really a bet on a group that doesn’t get nearly enough credit, presales and solutions engineering teams. They sit at the center of the most important conversations in complex B2B tech sales, discovery, evaluation, architecture, risk, yet they’re often under-resourced and under-instrumented compared to their impact. So many teams rely on presales and solutions intelligence whenever their work becomes business critical. Sales, Product, Marketing, the list goes on. We started Opine because we kept seeing the same pattern: brilliant presales teams held everything together with spreadsheets, threads, tribal knowledge, and heroic effort. When that invisible work isn’t captured, it hurts everyone. The business loses voice of the customer context, leadership risks balloon, post-sales inherits chaos, and customers feel the seams. Our goal is to turn that “undervalued” reality into a compounding advantage. By giving presales an AI-native system that understands their workflows, captures every evaluation and handoff, and surfaces deal risk in real time, we can make them the core of the entire GTM motion. When presales wins, sales, customer success, and product all win. I’m deeply grateful to our customers like Docker, Inc, Tailscale, Gainsight, BigID, Cyberhaven, Socket, Beyond Identity, ConductorOne, and many others who have trusted us early, and pushed us to build something worthy of their teams. Thank you as well to our partners at S3 Ventures, Knoll Ventures, Atlanta Seed Company, Gray Ventures, Propel Venture Partners, Triangle Tweener Fund, WndrCo, Diede van Lamoen and Feross Aboukhadijeh for believing in this vision. We’re just getting started. Presales deserves tools and recognition that match their importance. Our commitment with Opine is simple: make their work visible, make their impact undeniable, and quietly become the most valuable tool in the GTM stack just like they are quietly the most valuable department. (🎥 More on the story and what’s next in the video.)
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Eric Engineer shared thisLooking forward to this!Eric Engineer shared thisExcited to welcome Eric Engineer as our first panelist! Eric joined S3 Ventures in 2018 and is currently a Partner. He serves on the boards of S3 Ventures portfolio companies AllStacks, Arpio, Kamiwaza, Mavvrik, MontyCloud, QbDVision, RepVue, Rest, and Videate. He previously served on the boards of Atmosphere, Briggo (acq. Coca-Cola), Interplay Learning, Liquibase, Sumatra (acq. Stripe), and VUV Analytics. Eric was previously CEO at Invodo — an S3 Ventures portfolio company — which was acquired by CoCreativ (Industrial Color Studios) in early 2018. Prior to Invodo, Eric was a Partner at Sevin Rosen Funds in Dallas, where he helped lead the firm’s investment in Invodo. Eric also worked at Microsoft, where he held a variety of roles in product management, product planning, and enterprise sales across several business units. Eric began his career as a Sales Engineer at Trilogy Software in Austin, TX. Eric has an MBA from Harvard Business School — as well as an MCS in Distributed Systems and a BA, cum laude, in Computer Science — both from Rice University in Houston, where he was raised. Investor Forum - From Startups to Scaleups: Mastering Capital & Growth 🗓 Wednesday, October 22 | 5:00–8:00 PM | The Texas Tribune, Austin-TX 📝 Don’t miss out - https://lnkd.in/dW9YzymN Anupam Govil Chirag Shah Sonal Shah Guru C Reddy Dorsala, MBA, EAYatin Karpe, PhD, RTTP Ajay Kwatra Rajendra Srivastava Jignesh Patel Manu Sebastian Ishi Puri Vidhya Subramanian Mohit Goyal Siva Durbhakula Aruni Gunasegaram Nimish S. Dr. Adil Dalal Nagavalli Medicharla Zscaler Zoho #PanelDiscussion #TechLeaders #MeetTheSpeakers #AustinTechWeek #Innovation #FutureOfTech #AustinEvents
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Eric Engineer reposted thisEric Engineer reposted thisAnother incredible S3 Ventures #CEOSummit is in the books! Last week, we brought together nearly 40 of our amazing portfolio CEOs at The Holdsworth Center for two inspiring days of insights, connection, and collaboration 🤝—sparking ideas to shape what’s next. A big thank-you to Scott Klososky of Future Point of View for his dynamic session on #AI business transformation 🤖, and to Tim McGee from Bank of America for his thoughtful take on today's macroeconomic landscape. 📈 Lastly, we’re deeply grateful to our advisory community ⭐ —Scott Abel, Robert Alvarez, Sam Decker, Erik Huddleston, Kirsten Newbold-Knipp, Mike Turner, and Scott Wolfe Jr.—for the expertise, perspective, and energy they brought to every conversation. We already can't wait for next year! 🙌 #Leadership #Innovation #VentureCapital
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Eric Engineer reacted on thisEric Engineer reacted on thisJustworks was proud to sponsor and co-host an incredible Female Founders Dinner at Serenade in collaboration with S3 Ventures (Kathryn Deebel Nicole Bentz) and Silverton Partners (Addie Olsen Rasche) — an evening dedicated to celebrating the brilliant women building the next generation of companies. The energy in the room was electric. No literally, we could not leave the table...but made it just in time for an intimate, incredible performance with Maren Morris and her band at Austin City Limits Live at The Moody Theater (ACL Live). 🤠 From candid conversations about the challenges of scaling to laughter and genuine connection, it was a reminder of just how powerful community can be...especially in Austin! To every founder who joined us — thank you for showing up, sharing your stories, and inspiring everyone around you. We see you, and we're rooting for you. 🚀 Looking forward to the next one 😁 Vanessa Heppner Rachel Balke Connie Lee Neha Shivnani Jacqueline Karlin Stephanie Guttman Ysenia Aguirre Rhodes Carolyn Byron Lowe LaTecia Johnson Jana Montgomery, Ph.D. Thank you Angie Neas and Jeanine Mioton for coordinating and Eli Kaplan for being an ally! #FemaleFounders #WomenInTech #Justworks #S3Ventures #SilvertonPartners
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Eric Engineer reacted on thisEric Engineer reacted on thisAllstacks was named a Visionary in the 2026 Gartner Magic Quadrant for Developer Productivity Insight Platforms this week. The first time Gartner has published an MQ for this category. Twelve vendors made it in. I couldn't be more proud. In 2019, I sat down with a group of Gartner analysts at Disney World, the day before we signed our seed round term sheet, and told them that what we were building was going to be its own distinct category someday. I believed it then. I'm not sure they did. Seven years later, here we are. Eight years ago, we were a few ML guys sitting around thinking about what we were actually solving for. Darrell "Jeremy" Freeman, Adam Dahlgren, and I started building something that we didn't quite know how to explain. Not a dashboard. A deep, structured, compounding model of how engineering organizations actually work, where every commit, every spec, every deployment decision, is connected across time and tied to business outcomes. We didn't quite know what to call it. Last December, our friends at Foundation Capital published "AI’s trillion-dollar opportunity: Context graphs" and put a name to the thing we'd been building. I worked briefly at FC early in my career, so seeing their team articulate this thesis hit differently for me. About 18 months ago, I sat down with Jeremy, and we challenged ourselves to figure out what it would actually take to make LLMs work reliably in a complex enterprise engineering context, brownfield, not greenfield, and not just impressively in a demo. We built what the industry now calls an agent harness: classical ML, LLMs, and big data techniques working together, designed so AI agents become excellent at retaining organizational memory, at traversal and discovery, at context management, at specificity of output, and at environmental awareness to produce output you can trust. We built it before anyone was calling it that. Gartner's planning assumption for this category says it plainly: *"By 2028, 60% of developer productivity platforms will act as foundational context engines, equipping agentic workflows with real-time environmental awareness, state management, robust knowledge retrieval, policy guardrails, and strict goal alignment."* The whole market has to get there within three years, but we've had it for eight. I'd say Visionary is about right. https://lnkd.in/ehf6TuZxAllstacks Named a Visionary in the 2026 Gartner© Magic QuadrantTM for Developer Productivity Insight Platforms. Here's What Actually Earned ItAllstacks Named a Visionary in the 2026 Gartner© Magic QuadrantTM for Developer Productivity Insight Platforms. Here's What Actually Earned It
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Eric Engineer reacted on thisEric Engineer reacted on thisWe were on a call yesterday where a PMM team wanted to use Opine. We had a question come up that we’ve encountered ever so often when we talk about our AI capabilities: How bad is the hallucination? Fair question. Most go-to-market AI fails this test. When customers see multiple AI tools failing and breaking in real-life usage - they’re skeptical - is AI really going to make my work easier or make it more harder. Here’s a little bit of what we do get accurate output: 1. Every output is cited back to the source - Gong line, Slack message, Salesforce field and more 2. The prompt itself runs an AI-skeptic audit pass before returning 3. We don't try to be general enterprise search where hallucinations are more common. We do go-to-market context, deeply. Narrower scope = higher accuracy. The SE leader who bought our solution stepped in and said that their "AI skeptical" team has been very happy with the responses they get from Opine and everything has been pretty accurate with citations. Everyone now has AI the key differentiator for platforms really scaling their AI capabilities will be its accuracy.
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Eric Engineer reacted on thisEric Engineer reacted on thisAustin didn’t become a startup hub by accident. Twenty years ago, there wasn’t much early-stage capital here. If you were a founder, you were either leaving for the coasts or trying to piece a round together locally. It took a lot of pieces working together over time to change that: founders choosing to build here, local support behind them, investors writing checks at early stages. Central Texas Angel Network has been part of that for 20 years. CTAN stats since 2006: • $142M+ invested • 230+ companies backed • ~$600M portfolio value • multiple IPOs and large outcomes That includes companies like York Space Systems and Recursion Pharmaceuticals who both went public at multi-billion dollar valuations, along with hundreds of others still working their way through it. What’s different now vs 20 years ago is the volume and quality of companies being built in Austin. There are simply more real opportunities to invest in here than there were 10 or 15 years ago, and more capital staying local to support them as they grow. That didn’t happen overnight. It came from groups consistently putting money and resources into the earliest stages—Capital Factory, Sputnik ATX VC, Opportunity Austin, Austin Technology Incubator, SKU, Live Oak Ventures, LLC, Silverton Partners, S3 Ventures, ATX Ventures, and others who have been active in this market for years. It’s been exciting to work with the community for the last 20 years, and we look forward to the next 20. Let’s keep building.
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Eric Engineer liked thisEric Engineer liked thisDatadog gets expensive fast. When you're ingesting terabyte-scale data, the cardinality problem compounds quickly, driving up costs. The usual fixes (such as sampling and short retention periods) force you to throw away valuable data. Jonathan Mercereau, a Principal Site Reliability Engineer at NVIDIA, built and open sourced a metrics exporter to solve this problem. Store raw logs in Hydrolix and emit only the metrics you define to Datadog, Prometheus, OpenTelemetry, or StatsD. You get your most important metrics in Datadog without having to compromise on data fidelity or retention. Read the post: https://hubs.la/Q04fbmxN0
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Eric Engineer reacted on thisEric Engineer reacted on thisWhen an AI agent wipes a production database in 9 seconds, the model isn’t the failure point. The architecture around it is. Dark Reading’s coverage points to the real pattern: broad credentials, weak environment separation, destructive actions without meaningful confirmation gates, and systems still built as if a human is always in the loop. That isn’t just an AI problem. It is a database change governance problem. In our 2026 State of Database Change Governance report, we found that 96.5% of organizations already have AI interacting with their databases. Most still rely on tickets, scripts, and manual controls to govern what reaches production. If an agent can run DROP in production without policy checks, approval gates, drift detection, and a rollback path, the risk is not hypothetical. It is structural. The agent will keep guessing. The question is whether your database lets it ship. https://hubs.li/Q04fbpFd0If AI's So Smart, Why Does It Keep Deleting Production Databases?If AI's So Smart, Why Does It Keep Deleting Production Databases?
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Eric Engineer liked thisEric Engineer liked thisLiquibase quietly underpins database change at thousands of the world's most demanding enterprises. The open-source project has crossed 100 million downloads, and Liquibase Secure powers the last mile of data delivery at some of the most regulated companies on the planet. So when their team publishes a state-of-the-industry report, it's worth paying attention. Their newly released 2026 State of Database Change Governance report ( https://lnkd.in/gMxBptb2 ) is drawn from 426 enterprise data and platform leaders plus telemetry across tens of thousands of production database installations and argues the AI infrastructure conversation is fixated on the wrong layer. 64% of companies say data quality is the #1 risk to their AI initiatives. 46% specifically worry about ungoverned, AI-generated SQL hitting production. Meanwhile 97% of organizations already let AI or LLMs interact with production databases. Only 3% don't. 70% ship database changes weekly or faster; nearly 30% deploy daily. The average enterprise runs 5 database types; nearly 1 in 3 runs 10 or more. Yet only 28% report mature, automated governance. 42% are still "ad hoc" or "emerging." So AI is already reading, writing, and proposing changes against production data at scale while still governed by human based tickets, chat threads, and tribal memory. These ancient controls routinely double costs for projects, and ungoverned AI sprawl can push cloud spend to 3x initial estimates. The takeaway for enterprise tech leaders is that AI modernization balloons in cost and time if you forget to modernize the governance of your database layer. Liquibase isn't just diagnosing and quantifying the gap, their newly announced Change Intelligence and Secure Deployment Connectors (ServiceNow, GitHub, Harness, Terraform) solve it. They allow you to deploy once, and govern everywhere. Details here: https://lnkd.in/gG_XiH7v The full Liquibase report is here: https://lnkd.in/gb4W9scp How is your team governing AI-generated SQL that touches production? Is anyone running policy-as-code on database change today, or still relying on "sometimes" controls? #AI #EnterpriseAI #DataGovernance #DatabaseEngineering #DevOps
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Eric Engineer reacted on thisEric Engineer reacted on thisI’m thrilled to announce I’ve decided to take on the role of Chief Revenue Officer at Arpio. First, a sincere thank you to Doug Neumann and Shaw Terwilliger for the confidence they’ve placed in me. I’ve always believed that great outcomes start with alignment at the top and from the first conversation, it was clear we see the opportunity the same way. Arpio sits at the intersection of two realities every enterprise is now facing: Downtime is no longer tolerable. Ransomware is no longer a question of if, but when. Most companies still aren’t prepared. That’s the gap we’re going to close. What excites me most is the ability to build something that matters at scale while continuing to work alongside the AWS leaders, partners, and customers I’ve spent years growing with. There’s a massive opportunity here to make Arpio the go-to partner for disaster recovery and ransomware resilience in the AWS ecosystem. We’re going to move fast. We’re going to be direct. And we’re going to build a category-defining company. Let’s go!
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Austin, Texas, United States
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Dallas, Texas, United States
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Greater Seattle Area
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Austin, Texas Area
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Harvard Business School
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Activities and Societies: Co-President of TechMedia Club, 1st Place - HBS Venture Capital Investment Competition, Student Association Technology Committee, Venture Capital and Private Equity Club, Entrepeneurship Club, Texas Club
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Gordon Ritter
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Paul Perrett
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Peter OBrien
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Every hire, product feature, and GTM experiment is a capital allocation decision, most teams just don’t call it that. I’m kicking off a 3-part series on capital allocation for founders, operators, and finance leaders with a simple question: ➡️ Will the next $1 you deploy become worth more than $1? Series overview Part 1: defines the core concept + the math Part 2: where capital goes + how to measure whether it’s working Part 3: AIMS framework for communicating allocation decisions to management teams and your board Part 1 (attached here) lays the practical foundation: 🔹 The $1 invested test and ROIIC vs. hurdle rates (scoreboard vs. decision lens) 🔹 A lightweight “investment brief” to evaluate bets (GROW / BUILD / BUY) 🔹 The small metric toolkit that translates finance into operating decisions (NPV / payback / ROIIC / incremental margin) 🔹 Early-stage proxies when DCF inputs are unknowable (burn multiple + revenue quality) 🔹 Operator “vital signs” to spot drift early (profit engine, leverage, cash conversion, optics) Series Roadmap ✔️ This series (Parts 1–3): breadth-first. shared, lightweight framework to define value creation, choose decision-grade metrics, and communicate tradeoffs clearly ✔️ Next series: depth-first. momentum drivers + operational decisions that need near real-time measurement to spot drift early and course-correct fast Read Part 1 here and Part 2 and 3 on substack. Next Series will be out next week. 💰 What’s one bet you’re funding right now, and how will you prove it’s working?
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Sean Smith
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I spoke with Christien Louviere of BDE Capital about his journey from a $330mm exit to becoming an independent sponsor. Christien shared excellent insights for folks looking to partner with business owners, rather than buy sellers out completely. Below are a few of the topics we covered: - Why he moved from “zero-to-one” startups to a buy-then-build strategy - How Christien's background shaped a focus on growth vs. cost-cutting - Why 20–40% rolled equity is central to his deal structures—and how it builds trust with sellers - Using scenario analysis with AI tools to evaluate management teams and uncover hidden key-person risks - How to identify when a $3–5M EBITDA company truly has a middle management layer—or is still founder-reliant For anyone investing in or buying small businesses, Christien’s approach provides a fresh lens on growth, alignment, and deal structuring. 🎥 Watch the full interview here → https://lnkd.in/ekfkaiej 🎧 Listen on Spotify: https://lnkd.in/e86Agx6V
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Steve Vassallo
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Boards are supposed to help founders. Over the past 19 years, I've watched many trap them instead. As companies scale, many boards turn from insight to oversight and stop doing what founders actually need: Help making big, hard decisions. Early boards tend to be small, the board members are close to the business and highly invested in it. They argue from first principles. They help founders think. Later-stage boards often look more impressive on paper - they have more independent directors, committees and process. Somewhere along the way, collective problem solving gets replaced with oversight. The board shifts from helping the CEO make better decisions to monitoring decisions that have already been made. Strategy discussions get safer, real debate gets rarer and meetings become more about risk management than judgment. This usually coincides with the introduction of more professional board members. For better or worse, they often optimize for governance, optics, and liability management. That’s their job. But it’s not always what the company needs in moments of real uncertainty. Then, CEOs stop using them as thought partners. That’s a problem. So what should founders do? A few principles that help: • Keep the board as small as you can for as long as you can • Add directors for new insight they bring, not what boxes they check • Treat board seats like senior hires, not trophies • Design meetings for debate rather than reporting • Be explicit about when you want input vs approval Good boards should improve decision-making. If your board isn’t making you think harder, it’s probably not doing its job.
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Aviel Ginzburg
Founders Co-op • 4K followers
While there has never been a more exciting time to be a founder building dev tooling or next-gen infra, it has also never been less investable at seed/pre-seed. I'm either really missing something or a lot of my peers are lost. As someone who has not just written, but also SHIPPED, about 75k lines of code in the past 6 months I can tell you that the evolution of how to build products has changed as much in the past year as it did in the entirety of 2007-2017. The complete rise and fail of frameworks, platforms, methodologies, etc... paved over and forgotten... that is of course except for the 1 company that gets a 1000x return from a wildly overvalued hyper-scaler or drunken growth stage investor obsessed with compounding at scale. Imagine a world where any seed investor in trends like Openstack, Hadoop, PaaS, etc all took a full loss on their investment. That's what we're looking at right now. I personally know of over a dozen well-funded seed-stage companies building in these spaces, with years of runway, scrambling to get acquired for a return of capital + several million personally while they're still relevant. If you're not seeing this unfold in front of you, you either aren't paying attention or you're satisfied playing the lottery instead of investing.
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Maddi Holman
Daring Ventures • 10K followers
💡Emerging GP Fundraising Insight #8: Rolling Closes Keep You Moving Small funds can't always afford to sit still until the target is hit. Rolling closes let you start deploying earlier, build a track record, and show momentum to prospective LPs. One GP told me that for Fund I ($5M target), he took capital as it came, signed, wired, and got to work. It wasn't perfect, but it kept the lights on and the deals moving. Sometimes the "sign and wire as it comes" approach is the only way to get moving. Takeaway: Momentum is a fundraising asset and rolling closes can help you keep it. Has anyone here used rolling closes as a strategic advantage?
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Shay Grinfeld
Greenfield Partners • 6K followers
Greenfield Partners is proud to be deepening our partnership with Capitolis as they announce today a $56M strategic round. If you’ve spent time in market infrastructure, you know how rare it is to see deep market insight paired with real product velocity. The team at Capitolis has both, and the result is infrastructure that makes capital markets safer and more efficient. We’re increasing our investment alongside Barclays, BNP Paribas, J.P. Morgan, fellow investors Canapi Ventures, 9Yards Capital, and existing investors Citi, Morgan Stanley, State Street, and UBS to fuel the next stages of Capitolis’ Capital Marketplace and Portfolio Optimization solutions. https://lnkd.in/exK8nQYx Kudos to Gil Mandelzis and the entire Capitolis team!
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Jason Shuman
Primary Venture Partners • 38K followers
I’ve spoken to over 2 dozen MDs at PE firms I can confidently say that the arb of figuring out how to implement Vertical AI at portfolio companies is very real right now It will fundamentally change underwriting for those who can do it predictably and unlock generational returns. Most are aware they need to act. Very few have.
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