Inbar Haham

Founders are often optimistic about growth. Sometimes, that confidence leads to funding ideas that don't fully pan out. Royalty-based growth capital is structured to limit downside risk compared to traditional venture-backed paths. Vik Thapar of Cypress Growth Capital explains that, even if outcomes fall short of early expectations, founders often still exit with meaningful results because they retain the majority of ownership. 🎙️ Tune into the Private Equity Value Creation Podcast: https://lnkd.in/gxkEsH3Z 👇🏽 Find Us Here https://lnkd.in/gTdPMk8P #privateequity #privateequitypodcast #privateequityvaluecreation

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Just read a piece from the team at Camber Creek portfolio company Proof on the evolving state of authentication…and it hit home. For years I’ve been thinking “passwords are dead,” but also lamenting the difficulty navigating the labyrinthine world of advanced security. This blog lays out exactly what’s replacing passwords in a way that’s practical, not just theoretical. Five methods stood out: - App-based authenticators finally killing SMS (good riddance, SIM-swap nightmares) - Continuous authentication that watches behavior during the session (the “someone stole the cookie but can’t act like you” protection we’ve all been missing) - Adaptive authentication that doesn’t treat grandma on her usual iPad the same as a login from a Tor exit node in a new country - MFA done right (and then taken further with verified digital certificates) - Biometrics with actual liveness + document tying, so it’s not just “a face” but your verified face What really resonated was the reminder that the strongest systems aren’t about piling on more factors; they’re about using the right factor at the right moment. Risk-based, context-aware, and (crucially) user-respecting. I’m biased but Proof’s angle of anchoring everything to high-assurance digital certificates feels like the missing glue. It’s one thing to authenticate someone at login; it’s another to carry that verified identity forward through the entire session, signature, or transaction. This one is worth the read. Link in comments. #venturecapital #cybersecurity #fraud

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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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Growth at all costs is out. Strategic expansion is in. One stat from our new report that says it all: By $100M ARR, 67% of growth comes from expansion, not net-new customers. We’re seeing a mindset shift among top-performing founders. They’re prioritizing customer success early, building in product-led growth loops, and measuring how they grow, not just how fast. Full analysis and benchmarks here: https://lnkd.in/gZruurYs #AI #SaaS #CustomerSuccess #BeyondBenchmarks

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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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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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Weather delays. Compliance gaps. Lost days and lost dollars. Every contractor knows the pain. Pavewise, based in North Dakota and built by operators who’ve lived it, has just raised a $2.5M seed round led by C2 Ventures Fund II, alongside Connetic Ventures, Service Provider Capital, M25, gener8tor 1889, and Broadwater Capital. Their platform brings real-time compliance, weather, and production tracking to road construction, helping crews make better calls, cut rework, and keep projects on time. This is exactly what we mean when we talk about our thesis, Dirty, Dull, and Dangerous innovation: solving real operational problems in essential industries with durable tech. https://lnkd.in/eecPMHdN

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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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