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Steve Vassallo
Foundation Capital • 15K followers
I’ve come to believe that early experiences carry disproportionate weight - far more than we often acknowledge. For designers and builders, “minimum viable” may suffice for validating core functionality, but it rarely earns trust or sparks genuine delight. While velocity matters, I’ve always struggled with the notion that early versions should be merely viable, especially in a world where attention is scarce and emotional resonance is everything. This extends beyond product. Do you show up as the minimum viable version of yourself in your work, your relationships, your craft? I would encourage you to challenge the conventional MVP framework. Replace it with the Minimum Awesome Product. This doesn’t mean it’s fully-featured or pixel perfect. But it should be worthy of attention. Memorable, even evocative in the way it triggered emotion. The kind of product that prompts someone to say, “I didn’t know I needed this, but now I can’t live without it.” You can refine mechanics over time, but the emotional experience of a first interaction is singular and unrecoverable. Don’t settle for viability. Build something worth remembering… and make it awesome! ❤️🔥
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26 Comments -
Matt Rappaport
Future Frontier Capital • 8K followers
Don't Build a Better Wheat Farm" - Why Defensibility Stakes Are Higher in Deep Tech Just published a new piece on my "Ignore the Confusion" blog, building on thoughtful insights from Eric Ver Ploeg at Tunitas Ventures about startup defensibility. Eric's core thesis: Too many startups pitch like wheat farmers - "huge TAM, slow incumbents, growing market, domain expertise" - but fail to think through long-term defensibility until it's too late. From a deep tech perspective, the stakes are even higher: ** Unlike software, deep tech founders must commit to defensibility strategies from day one - their funding depends on it ** Patent vs. trade secret decisions are often difficult to reverse and shape your entire competitive strategy ** Even "picks and shovels" providers (the tools that make industries more efficient) become commodities without proper moats The key insight that resonates: Defensibility can't be retrofitted. Whether you're building software or deep tech, your moat must be architected into the business model from the start. Thanks to Eric Ver Ploeg for sharing these insights on startup strategy and letting me build on his framework from a deep tech lens. Read the full post: https://lnkd.in/dEj_iF-Q #DeepTech #StartupStrategy #Defensibility #VentureCapital #Innovation
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Ashu Singhal
Benchling • 14K followers
There is so much magic for scientists locked away in LLMs. But unlocking it requires a rare blend of scientific and engineering expertise. That’s why I’m thrilled that Nicholas Larus-Stone and Sphinx Bio are joining Benchling. I’ve gotten to know Nicholas over the last few months. We share a vision for what AI agents can do for scientists – and an obsession with turning that potential into real, everyday value. Together, we’re building agents that automate toil and answer complex questions. See what we’re building: https://lnkd.in/gtDHZpnt
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8 Comments -
Amber Illig
The Council • 5K followers
🎙️ From Square to Mercury: How Rohini Pandhi became one of fintech’s top product leaders—and how velocity of learning at high slope companies shaped everything. Rohini dropped so many gems in our first episode of First Builders: 💎 Generalist → Specialist: In her early career, she was a generalist and tried everything. This led her to critical discoveries. She specialized in product and fintech when the “time was right” 💎 Follow the Engineers and Designers: Square was a high slope environment for Rohini, packed with talent density and learnings. She finds high slope environments by studying where smart engineers and designers are going. 💎 Fake News about PMs: PMs don’t just “move fast and break things.” Her team runs 30-50 customer interviews per quarter, providing rigor behind every decision. 💎 It’s Usually Too Early to Hire a PM: A top question she gets from founders is whether they should hire a PM. She usually says: “it’s too early.” 💎 Hiring a World Class Team is Like Tennis: When finding a tennis partner, you want someone a little better than you who can challenge you to improve your game. Give us a listen and leave a review on your favorite podcast location (see comments for links)! #FirstBuilders #StartupPodcast #ProductLeadership #TechCareers #Leadership
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Neil Tewari
Conversion • 17K followers
PSA to seed and early-stage founders: stop worrying about competition. I’ve spoken to hundreds of late-stage founders, and they all say the same thing. The biggest mistake they see at the early stage is founders obsessing over who else is in their space. When you are pre-PMF, comparing yourself to other buzzy AI startups is a distraction. They already have a defined GTM motion, some level of product-market fit, and a playbook to execute. Their “big new feature” might just be about expanding revenue or building parity. You’re still trying to land your first 10 paying customers. Here’s the truth: 1. Worry about competitors only when you actively lose a deal to them. THESE ARE THE COMPETITORS TO WORRY ABOUT. 2. When a customer chooses someone else, they will usually tell you why. Nine times out of ten it’s not the reason you think. It’s rarely a missing feature. More often it’s pricing, brand trust, or timing. 3. Competitors often move in completely different directions. OpenAI went after consumers, while Anthropic leaned into enterprise and APIs. Playbooks diverge fast. 4. The only real roadmap at the early stage is customer pain. Every conversation, every demo, every user insight. Talk to as many customers as possible. If you spend your time trying to copy what competitors are doing, you will always be a step behind. If you spend your time talking to users, you’ll know exactly what to build next. The path to PMF isn’t found on Twitter threads about “AI competitors.” It’s found in the feedback from the 5 people actually using your product every single day.
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