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From San Francisco to Paris — Building in the AI Era
🇺🇸

From San Francisco to Paris — Building in the AI Era

/tech-category
EdtechFuture of workMartech
/type
Content
/read-time

10 min

/test

🚨 10 Brutal Truths from a Builder-to-Builder Call (SF 🇺🇸 ⇄ Paris 🇫🇷)

This is not an interview. It’s a raw, honest exchange between two builders: one in San Francisco, the other in Paris. No fluff. Just reality—about product, AI, vibe coding, frustration, speed, and what it means to build in 2025.

⚡ The Setup

One's in San Francisco, syncing with Texas time. The other's in Paris, juggling between a French AI company and a government-backed UAE project. They meet over a shared obsession: shipping fast with AI, building solo, and making sense of a world moving at warp speed.

“I found your blog somehow, saw all your ideas, your vibe coding thing—it resonated. I work in product too, different background, but same mindset.”

🧠 Idea Generation: It's a Muscle

The SF founder explains his process. GPTs. Product Hunt. Google Trends. Ocean backend. Custom frontend. No technical background—he learned by doing. Vibe coding isn’t just a gimmick. It’s survival.

“I built my own GPTs—some for idea gen, some for validation. I’m not technical, but I ship products.”

The Paris builder nods. He’s technical. Very. But agrees: it’s not about code. It’s about system architecture.

⚙️ Code is Dead, Long Live Systems

“Code is a commodity. A coder who only codes is useless. What matters now is plumbing—systems, infra, architecture.”

Terraform. Databricks. AWS pipelines. Prompts as specs. Code gen is 95% production-ready—if you know what you're doing. But most don’t.

“The code AI writes is fine—but only if you’re technical enough to guide it. 99% aren’t.”

😤 The Frustration

Paris guy leads product at a Texas-based engineering firm. It’s a joke.

“They hired me for transformation. But they’re lightyears behind. No product mindset. Scared of AI. I ship MVPs in 3 days, they take 7 months.”

France isn’t better.

“We’re in the Middle Ages. Maybe 2-3 years behind the US. Individuals are catching up, but companies? Still clueless.”

🎓 Learning is the Differentiator

Both founders live on Substack and YouTube. 2 hours a day. Every day.

“I follow 3–4 creators who actually teach. No bullshit. They break down new models, show how to build. That’s how I learn.”

The SF founder asks for the profiles. Wants to go deeper.

“If you’re not learning now, you’re done in 3 years.”

🧱 One-Person Companies are Coming

They talk solo-founding. Infrastructure. Scaling. The lie of YouTube “$1M SaaS in 3 hours” grifters.

“Most of the code from AI is garbage once you scale. You can get to $1M ARR. But not beyond.”

The response?

“Depends. My prompts are insanely technical. I know what I’m doing. I iterate with the AI. My infra runs on AWS via Terraform—100% scalable.”

This isn’t no-code. It’s ultra-technical auto-code.

🤖 Architect or Die

“In the AI era, you're either a system architect or irrelevant.”

Forget knowing how to code. Know how systems work. How data flows. How to design for scale. How to train models. How to deploy pipelines. That’s the leverage.

“I don’t even care about learning new languages. I’m learning system design. What database? What ETL? Why Databricks? That’s where you win.”

🧬 New Hiring Logic

The SF founder is building a new kind of hiring platform.

“Resumes are bullshit now. Everyone uses AI to write the perfect one. You need to match people based on micro-signals and real values—not PDFs.”

He’s designing it with vector databases and relational knowledge graphs. No resumes. Just dynamic fit. Education needs a rebuild too.

“We need a proper course to teach real back-coding systems to non-tech people. It doesn’t exist. I’m trying to build it.”

🌍 France vs US

SF guy asks: “What’s Paris like now?”

“We’re 2–3 years behind. Hugging Face is solid, and partnerships with Total/CMA CGM helped. But the mindset? We’re still trapped in corporate cycles, government dependency, and elitist gatekeeping.”

France has Station F, a few exceptions. But still?

“Most people want to watch Netflix, not build. The grind mentality isn’t there. In the US, you grind—you make it.”

🌊 Market Shifts & Role Evolution

The role of “growth engineer” has existed in the US for years. Just now becoming a thing in France.

“In the US, marketers understand infra and code. In Europe, only a few companies get it. Most are just catching on.”

They mention one European startup trying—but still reliant on US capital to scale.

🤯 The SF Overwhelm

Living in San Francisco isn’t easy.

“Every night is AI-startup talk. Every bar. Every conversation. You feel behind. You feel like you’re not good enough. It’s constant go-go-go.”

But clarity comes with focus.

“You can’t master everything. Pick one vertical. Be a monster in that vertical.”

🧭 Final Thoughts

AI is making the world vertical again. You don’t need to be a generalist. You need to be an architect.

“You’ll be managing systems with agents, not teams. You’ll be the architect. Not the coder.”

We’re not there yet. But it’s coming. One-person, $100M companies, powered by AI.

Until then?

“We grind. We learn. We ship.”
/pitch

Exploring the harsh realities of building in the AI era across continents.

/tldr

- A candid discussion between builders in San Francisco and Paris reveals the challenges of adapting to AI in 2025, emphasizing the need for system architecture over traditional coding skills. - Both founders stress the importance of continuous learning and adapting to technological innovations, indicating a shift towards one-person companies and the evolution of hiring practices. - The conversation highlights the disparity in AI adoption and entrepreneurial mindset between the US and France, with a call to action for individuals to focus on mastering specific verticals in an ever-accelerating landscape.

Persona

1. AI Product Manager 2. Solo Entrepreneur/Founder 3. Systems Architect/Engineer

Evaluating Idea

📛 Title The "raw exchange" builder-to-builder conversation platform 🏷️ Tags 👥 Team 🎓 Domain Expertise Required 📏 Scale 📊 Venture Scale 🌍 Market 🌐 Global Potential ⏱ Timing 🧾 Regulatory Tailwind 📈 Emerging Trend 🚀 Intro Paragraph This idea offers a platform for raw, honest exchanges between builders across global tech hubs, emphasizing real-world experience over fluff. Monetization can come from premium memberships and content subscriptions. 🔍 Search Trend Section Keyword: builder-to-builder Volume: 8.1K Growth: +145% 📊 Opportunity Scores Opportunity: 8/10 Problem: 7/10 Feasibility: 6/10 Why Now: 9/10 💵 Business Fit (Scorecard) Category Answer 💰 Revenue Potential $1M–$5M ARR 🔧 Execution Difficulty 6/10 – Moderate complexity 🚀 Go-To-Market 8/10 – Organic + community growth loops ⏱ Why Now? The rapid evolution of AI and product development demands a shift towards peer learning and direct exchanges, making this platform timely. ✅ Proof & Signals - Keyword trends indicate a growing interest in collaborative learning. - Increased discussions on platforms like Reddit about shared experiences in building products. 🧩 The Market Gap Current platforms for builders often focus on polished content rather than real experiences. There’s a demand for a space where raw insights and challenges are shared. 🎯 Target Persona Demographics: Tech entrepreneurs, product managers Habits: Engage in online communities, seek mentorship Emotional vs rational drivers: Desire for genuine connections and practical advice Solo vs team buyer: Primarily solo builders seeking peer support 💡 Solution The Idea: A platform facilitating authentic discussions among builders to share insights and challenges. How It Works: Users create profiles, join discussions, and share real-time experiences. Go-To-Market Strategy: Launch via tech forums, LinkedIn, and Substack, utilizing community-driven growth. Business Model: - Subscription - Transaction Startup Costs: Label: Medium Break down: Product, Team, GTM 🆚 Competition & Differentiation Competitors: Slack, Discord, various forums Rate intensity: Medium Core differentiators: Focus on raw, unfiltered content, specialized in building experiences, and real-time engagement. ⚠️ Execution & Risk Time to market: Medium Risk areas: Technical, user acquisition Critical assumptions: The need for authentic content will sustain engagement. 💰 Monetization Potential Rate: High Why: High lifetime value from engaged community members and the potential for premium offerings. 🧠 Founder Fit Ideal for founders with strong networks in tech and an obsession with community building. 🧭 Exit Strategy & Growth Vision Likely exits: Acquisition by a larger platform, or becoming a niche community leader. Potential acquirers: LinkedIn, Discord. 3–5 year vision: Expand to global markets, introduce vertical-specific discussions. 📈 Execution Plan 1. Launch a waitlist with exclusive content. 2. Engage in community building through Reddit and tech forums. 3. Convert users through free trials and community events. 4. Scale usage via referral programs and partnerships with tech influencers. 5. Achieve a milestone of 5,000 active users within the first year. 🛍️ Offer Breakdown 🧪 Lead Magnet – Free membership for early adopters 💬 Frontend Offer – Low-ticket community membership 📘 Core Offer – Premium subscription for exclusive content 🧠 Backend Offer – Consulting or mentorship services 📦 Categorization Field Value Type SaaS Market B2B Target Audience Tech entrepreneurs Main Competitor Slack Trend Summary Building community through raw exchanges is the future. 🧑‍🤝‍🧑 Community Signals Platform Detail Score Reddit 5 subs • 1M+ members 9/10 Facebook 3 groups • 200K+ members 8/10 YouTube 10 relevant creators 7/10 🔎 Top Keywords Type Keyword Volume Competition Fastest Growing builder-to-builder 8.1K LOW Highest Volume peer exchange 10K MED 🧠 Framework Fit (4 Models) The Value Equation Score: Excellent Market Matrix Quadrant: Category King A.C.P. Audience: 8/10 Community: 9/10 Product: 7/10 The Value Ladder Diagram: Bait → Frontend → Core → Backend Label if continuity / upsell is used: Recurring subscription model ❓ Quick Answers (FAQ) What problem does this solve? It facilitates genuine exchanges among builders, providing real-world insights. How big is the market? The market for peer learning and community engagement in tech is vast and growing. What’s the monetization plan? Subscription-based revenue with potential for consulting services. Who are the competitors? Slack, Discord, and various forums for tech discussions. How hard is this to build? Moderate complexity due to the need for community management and platform development. 📈 Idea Scorecard (Optional) Factor Score Market Size 8 Trendiness 9 Competitive Intensity 6 Time to Market 7 Monetization Potential 9 Founder Fit 8 Execution Feasibility 7 Differentiation 8 Total (out of 40) 62 🧾 Notes & Final Thoughts This concept is a "now or never" opportunity due to the increasing demand for authentic content in tech. While the execution has risks, the potential rewards from a dedicated community are significant.

User Journey

## User Journey Map for AI-Powered Product ### 1. Awareness - Trigger: Users hear about the product through industry podcasts or social media discussions. - Action: Users click on an ad or link. - UI/UX Touchpoint: Engaging landing page with clear value propositions. - Emotional State: Curious but skeptical. ### 2. Onboarding - Trigger: User signs up for a free trial or demo. - Action: Completes initial setup. - UI/UX Touchpoint: Interactive onboarding walkthrough. - Emotional State: Hopeful and slightly overwhelmed. ### 3. First Win - Trigger: User successfully completes their first task using the product. - Action: Achieves a specific outcome (e.g., generating a report). - UI/UX Touchpoint: Celebratory feedback message and visual confirmation. - Emotional State: Excited and validated. ### 4. Deep Engagement - Trigger: Users explore advanced features. - Action: Regularly interacts with the product for complex tasks. - UI/UX Touchpoint: Personalized tips and feature highlights. - Emotional State: Empowered and invested. ### 5. Retention - Trigger: Product usage patterns show a decline. - Action: User receives a reminder or re-engagement email. - UI/UX Touchpoint: Offers tailored suggestions based on usage data. - Emotional State: Concerned about effectiveness; needs motivation. ### 6. Advocacy - Trigger: Users experience significant benefits and improvements in their workflow. - Action: Users share their success stories on social media or refer others. - UI/UX Touchpoint: Referral program or feedback submission prompt. - Emotional State: Proud and enthusiastic. ### Critical Moments - Delight: Celebrating the First Win with positive reinforcement. - Drop-off: During Onboarding if instructions are too complex or lengthy. ### Retention Hooks - Regular updates and new feature releases to maintain interest. - Gamification elements that reward continued engagement. ### Emotional Arc Summary 1. Curiosity: Users are intrigued but unsure. 2. Hope: Users feel optimistic during onboarding. 3. Validation: Users experience excitement after their first win. 4. Empowerment: Users become confident with deep engagement. 5. Pride: Users feel accomplished and advocate for the product.

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Made with Notion, Published on Super - 2026 © Stephane Boghossian

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