Brussels, Brussels Region, Belgium
I'm building indie.money — the App Store for AI automation. Builders publish n8n-compatible agents to our marketplace. Businesses run them. Builders keep 90% of every run (10% only when you cash out). No SaaS to build. No marketing required. The problem I'm solving: Automation creators build incredible automations but can't monetize them. Zapier takes 100% of the value. We flip that. Why blockchain? You'll never notice it. Sign in with email or Google. No wallets, no gas fees. Blockchain just proves you own what you create. --- Background: • 20+ years building at the intersection of AI, blockchain, and fintech • 6 startups founded, 2 exits • Previously: AI instructor at ULB Brussels, teaching medical students to integrate AI into their research • Built compliant payment systems, AI chatbots, DeFi protocols, and enterprise software for clients including BNP Paribas and the National Bank of Belgium Technical focus: RAG systems, agentic AI, n8n automation, smart contracts (Solidity), gasless UX (ERC-2612) --- If you're an n8n developer who wants to monetize your n8n-compatible agents, or a founder looking for AI automation — let's talk. → indie.money
Building the App Store for AI automation. • Creating a marketplace where n8n automation creators publish agents and earn 90% of execution revenue (vs 0% at Zapier/Make) • Developed Indie Protocol: gasless micro-subscription infrastructure with batch settlement (99% gas reduction) and automatic payouts • Technical stack: Solidity smart contracts (ERC-1155, ERC-2612), Cloudflare Workers, n8n-compatible execution engine, 750+ test cases • Deployed on Base (Coinbase L2) with consumer-friendly UX: email/Google sign-in, no wallets required • Building community of Makers and Founders through Discord, Reddit, and strategic partnerships → indie.money
- Co-founded Diane Health (https://diane.health) alongside Dr. Diane Franck, creating an innovative AI-powered platform that streamlines medical advice workflows in healthcare settings. - Combined my technical AI expertise with Dr. Franck's medical background to develop solutions that transform how medical professionals collaborate through automated doctor assignments, standardized documentation, and secure communication. - Developed a sophisticated AI architecture utilizing RAG and agentic AI systems to intelligently route medical queries, automate documentation, and ensure clinical protocol adherence. - Implemented robust privacy and security measures compliant with healthcare regulations while integrating with familiar tools like Google Workspace and Telegram for seamless adoption. - Achieving initial pilot implementations demonstrating significant reductions in administrative overhead and improved response times for medical consultations. • Project concluded December 2025. Key learnings in AI-powered workflow automation, healthcare compliance, and agentic systems directly informed the development of indie.money.
- Develop and deliver comprehensive training for medical students on effectively integrating artificial intelligence into their studies and research projects. - Design curriculum covering practical applications of AI in healthcare, including diagnostic support, research acceleration, and clinical workflow optimization. - Guide students through their end-of-study projects, providing technical expertise on AI implementation while ensuring ethical considerations and medical accuracy. - Foster collaboration between medical and technology domains, helping bridge the knowledge gap between clinical practice and cutting-edge AI capabilities. - Continuously update training materials to reflect the rapidly evolving AI landscape and its applications in healthcare.
Explored multiple DeFi protocols during bear market, building technical expertise that now powers indie.money: • Magnify.Finance: Thematic vaults with AI-driven rebalancing • Tie.Finance: On-chain DEX aggregator • blocks.watch: Wallet event notifications via Telegram • Resting.Finance: Flash loan protocol Key learnings applied to indie.money: gasless UX patterns, batch settlement optimization, smart contract security, and cross-chain architecture.
• Developed Mario, an AI-powered lifestyle concierge Telegram chatbot for Thailand, utilizing Retrieval-Augmented Generation (RAG) to offer personalized recommendations based on Facebook events data. • Implemented an agentic approach combining open-source and closed-source AI models for intelligent problem-solving and context-aware responses. • Designed a scalable backend infrastructure handling real-time data processing and high-volume interactions, with robust privacy and security measures.