AI Tinkerers Paris held a technical deep dive on local AI development and deployment, featuring the ThinkStation PGX, with support from Lenovo and NVIDIA.
The OpenClaw Sprint fostered collaboration among elite builders creating autonomous agents, with sponsors Aleph Studios and Schoolab supporting the initiative.
The global unhackathon focused on building OpenClaw and ClawdBot projects, prioritizing code shipping over presentations. It was supported by AI heavyweights.
Builders convened for an in-person, one-night sprint focused on advancing Conversational Agents. Participants prototyped agents and tooling with a large prize pool, supported by sponsors like Stripe.
AI Tinkerers - Paris hosted a meetup on turning knowledge into LLM APIs. Neo4j presented, and lightning talks showcased MCP integrations. Sponsors included Neo4j and Generation AI.
AI Tinkerers hosted a hackathon at Station F, challenging participants to build "one-person unicorns" using AI agents. Sponsors included Google and Mistral AI.
AI Tinkerers hosted an exclusive VIP dinner for founders and engineers to foster technical exchange and networking around Cloud AI, with support from Accel.
AI Tinkerers hosted a hackathon where participants built multimodal AI agents, leveraging Google Cloud Run and NVIDIA GPUs, with support from Google, Raise, and Mistral AI.
AI builders participated in a hybrid hackathon focused on multimodal search AI, developing prototypes with support from SerpApi, Algolia, and Scalingo.
AI Tinkerers Paris is a hands-on AI builder meetup with live demos, technical discussion, and no-pitch networking.
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.
Next event
June 17, 2026
Local cadence
29 events in the last 12 months
Format
Live demos, technical Q&A, no sales pitches
Audience
Screened AI builders, founders, researchers, and engineers
Best AI meetup in Paris for hands-on builders
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.
What makes AI Tinkerers Paris different from other AI meetups?
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.
Builder-only room
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Live technical demos
Meetups center on working prototypes, architecture lessons, failures, and production details.
Global builder network
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.
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).
Large Language Models (LLMs) are deep learning models, built on the Transformer architecture, that process and generate human-quality text and code at scale.
OpenAI's Generative Pre-trained Transformer (GPT) model: a conversational AI chatbot for instant text generation, coding assistance, and complex problem-solving.
"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"