Paul Lafforgue

When I was in YC, I was surprised to see that startups are now vibe-coding their entire companies in 3 days. Not weeks. Not months. Days. — Here’s the exact $40 stack making it possible: - Lovable/v0 by Vercel → frontend in hours - Cursor/Claude Code → AI pair programmer - Supabase → backend in a box - Stripe → collect payments - Willowvoice.com → Prompt AI with voice, makes coding feel like magic — How the process works: Day 1 — Ship the core logic Start with the simplest version of your product. Forget design or polish. Just get the main feature working (even if it’s just a single button). Day 2 — Talk it into existence Instead of making wireframes in Figma, founders literally talk through what happens with WillowVoice to an AI coding tool: “User clicks this → then sees that…” That narration gets transcribed and fed into AI tools to generate components, layouts, and dashboards. What used to take a day can now be done in an hour. Day 3 — Tighten the flow Once the product works, the final step is smoothing out the onboarding and user flows. Instead of typing long prompts, founders just talk through their fixes with WillowVoice, which AI implements quickly. — What YC founders are learning: 1. Perfect code is the enemy of shipped code 2. AI works best when iteration speed is insane 3. The first version will be wrong anyway → build it in days, not months — The result: A working product in 2–3 days. Crude? Sure. But enough to launch, test, and iterate. YC startups are proving it: the future of development is AI + vibe-coding at the speed of thought. Would you build your next idea this way, or do you think speed comes at too high a cost???

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Only 17% of digital health startups in Europe reach patients at scale. Most don’t fail due to poor science — they fail because they can’t bridge the gap between clinical proof and commercial delivery. By 2025, the fastest-scaling founders are mastering partner-driven commercialization — moving beyond “app stores” to integrated, reimbursable ecosystems. Here’s how they do it 👇 🧠 Approved DTx & Health Apps (Germany) - HelloBetter, Selfapy, Mika, Kaia Health, Mindable, Mementor, Zanadio, AidHere, GAIA Health. ⚙️ Integration & Workflow Partners - Infermedica, Redox, Zus Health, Human API, Health Gorilla, Siilo, Qure4u, Canvas Medical, Nabla, Doctolib, Huma, CompuGroup Medical. 💰 Reimbursement & Market Access Enablers - DTx Market Access, Zeno Partners, GIMAC, DVG Institute, Mediq Access, G-BA, NICE, HAS, AIFA, CNAM, Linus Health, DTxHub. 🤝 Employer & B2B Wellness Integrators Virgin Pulse, Gympass, YuLife, Peppy Health, Unmind, Wellhub, Headspace for Work, Telus Health, AXA Corporate Health, Lyra Health, ICAS World, Cigna EAP. 🏥 Payer & Distribution Channels Bupa, Aviva, Allianz, AXA, AOK, Barmer, Sanitas, DKV, Alan, Vitality, UnipolSai. 🔬 Clinical & Research Collaborators Karolinska Institutet, Charité, Inserm, Roche, Pfizer, Oxford Digital Health Lab, King’s College London, Oulu Health, Barcelona Health Hub. 📊 The 4-Stage DTx Growth Framework 1️⃣ Evidence → Partner with clinical institutions to validate measurable outcomes. 2️⃣ Access → Work with national payers & reimbursement agencies to prove ROI. 3️⃣ Integration → Embed your DTx into provider workflows, telehealth, or employer systems. 4️⃣ Adoption → Track usage, outcomes, and payer conversion to demonstrate retention & scalability. 💡 Why This Matters Every founder talks about “scaling,” but DTx products scale through alignment, not virality. Europe’s health systems reward startups that can: ✔️ Quantify cost savings per patient ✔️ Integrate securely into clinical data flows ✔️ Show real-world outcomes that justify reimbursement That’s what unlocks the €20B digital therapeutics opportunity emerging across Europe’s regulated markets. If you’re building a digital health or MedTech product, I can help you: ✅ Identify qualified B2B & reimbursement partners across Europe ✅ Map your commercialization readiness with a 30-day audit ✅ Build an investor-ready ROI dashboard that translates traction into value #DigitalHealth #DTx #HealthInnovation #MedTech #HealthTechEurope #HealthcareStartups #Commercialization #GrowthVybz #PipelineStudio #Reimbursement #HealthcareGrowth #HealthInvestors

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🚨 The battle for the future of software is no longer about who can write code fastest — it’s about who owns the data and context to power AI. Generative coding agents and tools from Anysphere, GitHub Copilot, Windsurf Cognition and poolside are commoditizing software development. In this new era, context is king and data is the moat. Winners will be those who: 1️⃣ Embed deeply into workflows to capture rich, high-fidelity data 2️⃣ Engineer context precisely at inference time 3️⃣ Reinforce models through usage, not static prompts Legacy SaaS vendors face eroding moats. AI-native apps with data flywheels and contextual intelligence are rising fast. 👇 Full article in the comments. If you’re building in this space, I want to hear from you. Thank you to Jeff Haynie, Jason Warner, Çağla Kaymaz and Vedant Agrawal for providing input and feedback on this article! #AI #Software #VC #DeveloperTools #ContextIsKing #FutureOfWork

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Y Combinator CEO Garry Tan recently said that in about 25% of current YC startups, AI is writing 95% of the code. We’re in the endgame now — the marketing game. If building becomes faster and cheaper thanks to AI, the hardest part — and the key to success — will be how you position, brand and distribute. Here’s what I’m seeing: #1 Focus on niche markets: Go after $10M–$100M markets. Startups backed by traditional VCs usually skip these because they’re not aiming for a $1B market.But with AI, you can build quicker and leaner — which makes smaller markets not just viable, but strategic. #2 Build something that spreads on its own: You need a product with word-of-mouth energy — something that feels so cool, unique or personal people just share it.Think: lovable.dev, arcads.ai #3 Don’t stop at generic AI use cases: Support agent, email agent, sales agent — they’re good starting points, but crowded already. Use them as a playground, then go deeper. #4 Think ahead: what will AI agents need? When AI agents start running more and more workflows, they’ll need tools, data, services — their own ecosystem. Start building for them, not just for humans. (And no, not generic infra or monitoring — that’s already owned by the big players.) #5 Models will be commodities: So your edge? Marketing, UX, positioning, brand, niche. Just my 2 cents — what do you think?

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My friend Grégoire Gambatto saw this tweet that basically said "In the Valley, you either make 10M ARR in two weeks or everyone ignores you" and asked me about it on his podcast last week. Had to call BS on this one. I invested in 60 YC companies over the past year, and the reality is very different. Don't let Twitter FOMO discourage you! Here's what YC Demo Day (the center of attention for Silicon Valley startups) actually looks like: - 45% of companies make zero revenue. Including some of the best & hottest companies and future unicorns. - 45% are somewhere between $50-$300k ARR. Some of that is "committed ARR" or LOIs - 10% make real revenue (300K-$2M), with the top company usually hitting $1-1.5M ARR (in 3-9 months). Are you making $1M real ARR with actual retention at 6 months old? Congrats, you'd be top 3 in your entire YC batch. Also: a lot of companies with big ARR numbers charge agency fees ($4-5k/month entry price) but have agency churn because they're really agencies with AI branding. It's easier to hit big revenue numbers when you're selling consulting. Others promise the world, get a lot of signups, then can't deliver and customers bail after 1 month. Revenue is just one metric among others - team, market opportunity, execution, and defensibility all matter too. A lot of YC startups with very strong teams and $0-$300K revenue still get a lot of attention, raise at $40-70M valuations, and will eventually IPO or get acquired for $Bn++ in a few years. The Twitter FOMO is ridiculous. Half of these numbers are fake or missing crucial context. Building a great company takes time. People won't ignore you because you didn't hit $10M ARR in 2 weeks.

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