Co-founder & CEO @getwellapp

Paris, France
Joined January 2012
Hello World 👋! Day #1 of taking over my X account, more updates on my new project @getwellapp to come soon 😎!
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Max Champoux 👨‍🚀🔥 retweeted
Component anatomy standard I have been building at @getwellapp to break any component down to its smallest primitive
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It happened to me today: I stopped mid-work just staring at our company's brain light up. @getwellapp
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We are hiring a design engineer at Well (💙 Contact me in DM if interested), and I want to be precise about what that means, because the title is doing a lot of work.
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Everyone is building a "business brain" right now. Almost everyone means a folder of markdown files. Would you run your accounting on .md files? Of course not. And here is the part that should worry you: you would still get an answer, and a confident one
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Max Champoux 👨‍🚀🔥 retweeted
Your business data is scattered across banks, inboxes, CRMs, invoicing tools, and spreadsheets. Well brings it all together into a real-time business context graph, so AI agents can finally understand your business and take action. We're live on Product Hunt today 👇
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Your API's next customer isn't a developer. It's an AI agent. Cloudflare just compressed 2,500 API endpoints into 2 MCP tools. Token cost: 2 million down to 1,000. A 2,000x improvement. The $15B integration market built on trigger-action workflows is restructuring. He...
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Need help: We just shipped our MCP connector at Well, it lets Claude (and any AI) talk directly to your financial data (11k banks, 250 tools connected to retrieve your orders, invoices and more). -> Now I'm looking for 10-15 freelancers and no-coders who are deep into automation to build with us. You're the right fit if: → You run your own thing (freelance, solo SaaS, small agency) → You're already playing with Make, Zapier, n8n, or AI agents → You hate spending Sundays reconciling invoices and chasing numbers → You want your AI assistant to actually know your finances What you get: → Early access to Well's MCP → Direct line to me and the team → Your feedback shapes what we build next What we get: → Real-world usage from people who actually care about automation → Honest feedback (the brutal kind, please) If this sounds like you, or you know someone, drop a comment or DM me. Let's kill the spreadsheet Sundays together. youtu.be/VS6X7J1EanY
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2026 is the year we enter a new world. Time compression is the defining feature of the singularity, and it's already here. The "Ralph Wiggum technique" is going viral among developers. It's a method where AI agents run in autonomous loops, building software overnight without human intervention. Code writes itself. Errors feed back into the system. Progress compounds while you sleep. Yes, it's named after the Simpsons character, the one known for naive persistence. And it works. What this proves: the bottleneck has shifted. The question is no longer "can AI write code?" It's "can humans keep up?" That's the reality facing every founder and builder right now. We must embrace productivity. We must learn to delegate to AI. If you're not compounding your tooling daily, you're not standing still, you're moving backwards. 2026 will separate those who embraced the shift from those who watched it happen. Dedicate time to improve your productivity on a daily basis, 1% improvement daily in tooling is 38 times better than where you started.
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For the past 6 weeks, the entire Well team has been coding with Cursor. This is the single most effective productivity hack we've found. Not because of AI autocomplete. Because we invested time in teaching the AI how we work. The secret: a structured .cursor/rules/ folder. We've documented everything: - 🎨 Design system principles, colors, typography, spacing - 📋 Hard rules (TypeScript strict mode, no any, max 150 lines per component) - 🔀 Mode-specific behaviors (Ask → explain, Plan → structure, Agent → implement) - 👥 Domain ownership (who reviews what) - 🔗 Integrations (Notion task sync, Figma references, PR hygiene) The result? When our AI assistant writes code, it: - Follows our component patterns automatically - Uses our design tokens (no arbitrary values) - Syncs PRs to Notion and prepares Slack updates - Respects our file structure and coding standards From idea → customer value, faster. The key insight: - AI without context produces slop. - AI with deep project context produces code that looks like your team wrote it. We went from "fixing AI mistakes" to "reviewing AI-assisted work." That's the difference. 💬 Comment "🎸 Rule the rules" if you want me to share our complete playbook structure.
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Hey folks 👋! We just dropped our latest product video. We made a playbook and it can be yours! With our standard, production for this 40 seconds video at this quality takes 2 days. We built the whole thing as an AI-native system, so we can go from idea → storyboard → fully sound-designed video with repeatable quality, not one-off magic. Our next videos will apply this standard, same quality → 48h lead-time. Under the hood, it’s actually pretty complex 👇 🎬 The video pipeline - Clarify the story and write a tight storyboard - Build a visual moodboard (like Linear-style references, etc.) - Design product UI screens in Figma - Animate those screens in Jitter (poke Sébastien Robaszkiewicz) - Add perspective, blur, camera moves & kinetic text in Blender 🎧 The sound pipeline - Define the artistic direction for the sound system - Build a sound moodboard - Turn that into AI prompts, anchored on the key scenes - Generate and refine the track with Suno / Epidemic Sound We’re turning this into a shareable playbook with Paulius Kairevicius: a step-by-step, practical guide (prompts, templates, checklists) so you can copy-paste the workflow for your own product videos. If you want the playbook when it’s ready, just comment a "⭐️ Interested” below. And feel free to comment if you like it 💙 And huge shout-out to @kairevicius for the craft. 🙌 youtu.be/v6FGkMeahXI
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D-Day for us ! We are tackling the boring bits of SMB finances bit by bit. And This one is a big bit 🔥 producthunt.com/products/wel…
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