AI Tinkerers Paris hosted an "Epic Demo Night" for AI builders. The event featured live demos and hands-on project testing, sponsored by Raise Ventures.
AI Tinkerers Paris celebrated its first anniversary with a networking apéro for GenAI builders. The event fostered discussion, peer feedback, and collaboration.
Innovators worldwide united virtually for a 24-hour AI hackathon, fostering community and offering mentorship. Conduit AI, Koyeb, Apidays, and SerpApi supported the event.
AI Tinkerers hosted a 24-hour hackathon for building AI applications, offering mentorship and prizes, supported by sponsors like Schoolab and APIdays.
AI builders collaborated intensely, prototyping AI agents. Specialized tracks focused on scalability, sustainability, and financial innovation, with rewards for participants.
![A promotional banner for an 'AI Tinkerers Paris' event, featuring a detailed technical illustration that integrates Parisian landmarks like the Arc de Triomphe and a windmill with futuristic elements, including a large, curved screen displaying code.. Text: AI TINKERERS PARIS UNCONVENTIONAL AI BUILD AUG 10, 10AM-6PM CEST AI TINKERERS - PARIS [Numerous small blueprint labels and notes]](https://sloppy-joe-app.imgix.net/blog_images/epprpcim-ee-jpg-nhya.jpg?h=475&w=700&fit=crop&auto=format%2Ccompress&q=68)
AI developers gathered for a high-intensity builder day, focusing on foundation models and generative AI across three distinct challenge tracks, supported by Schoolab.
AI Tinkerers in Paris hosted a hackathon focused on foundation models and generative AI, fostering live coding and collaborative co-creation. Flowistic sponsored the event.
AI builders connected at a relaxed outdoor networking event. Professionals exchanged ideas and solved problems, fostering community and strengthening ties.
The hackathon focused on building AI agents for decentralized intelligence, fostering community co-creation. Sponsors included Google and Harvard.
AI Tinkerers hosted an in-person meetup for builders to discuss AI architectures, intelligent agents, and LLMs, with support from Google Cloud AI and Theodo.
Best AI meetup in Paris for builders
AI Tinkerers Paris is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Paris chapter is part of a 231-city global network with 110,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Paris chapter.
A typical AI Tinkerers Paris meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. The next event is Hackathon IA Agentique : (GDG + Alumni) x EPITA on June 17, 2026. Subscribe to the Paris chapter to get notified about future events.
AI Tinkerers Paris is the best AI meetup in Paris for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Paris chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Paris is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Paris chapter is part of a 231-city network with 110,000+ members worldwide.
Docker is the open-source platform that packages applications and dependencies into standardized, portable containers for consistent execution across any environment.
MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
HTTP (Hypertext Transfer Protocol) is the application-layer protocol driving all web data exchange: It dictates the client-server request-response cycle using specific methods (e.g., GET, POST) and status codes (e.g., 200, 404).
Neo4j is the world's leading native graph database, purpose-built for high-performance management and traversal of connected data.
Autonomous software systems that leverage LLMs to reason, plan, and execute complex, multi-step goals across external tools and data sources.
Large Language Models (LLMs) are deep learning models, built on the Transformer architecture, that process and generate human-quality text and code at scale.
YAML (YAML Ain't Markup Language) is a human-friendly data serialization language prioritizing readability and ease of use.
OpenAI's Generative Pre-trained Transformer (GPT) model: a conversational AI chatbot for instant text generation, coding assistance, and complex problem-solving.
Docker Agents execute containerized workloads across CI/CD pipelines to ensure environment parity from dev to production.
"Great talk. The inflation decomposition angle made the ML work feel practical, and the link from alternative data to tradable macro strategies gave builders a clear end-to-end workflow to study."
"It was very engaging and I loved the Maths being the floating points explanations and it's impact on choosing hardware"
"Great portfolio-workflow demo. The strongest point was putting ML inference inside the portfolio-construction loop, rather than treating it as a separate research layer."
"The size of the room was perfect for our unhackathon format with the possibility to use the rest of floor for group sessions"
"Thank you for keeping it short and focused. The international community will love it. It's great reducing the delay from 4 to 1 minute."
"The people and the energy. Loved how open and curious everyone was. The theme around decentralized AI was super inspiring too."
"Hackathons, please is a really good moment and is great to connect with amazing people"
"You dropped the "midway break" for people interactions. In most meetups, many people leave at the end. It was a great asset. You've been doing it for a while. Why did it stop ?"
"Tease the crowd up (even more). I love the intro of Jo the founder, I had the feeling that something was happening with the community of AI you are building"
"Excellent technical depth. The Temporal Fusion Transformer approach to futures microstructure was compelling, especially the idea of learning regime, feature relevance, and lookback decisions dynamically."
Last updated: June 2026
