Practitioners demonstrated live projects involving large language models and generative artificial intelligence, receiving feedback and networking with support from sponsors Auth0 and Comet.
AI Tinkerers hosted PromptLayer's CEO for a deep dive into creating a multi-agent email tool that achieved high open and reply rates while cutting costs.
Attendees built and deployed agentic applications on Google Cloud Run with serverless GPUs, utilizing various open models. Google, Penugonda, and Comet sponsored the hackathon.
The gathering featured a technical deep dive on building AI agents using Google Cloud AI tools, including community demos and insights from a Google Cloud Senior Customer Engineer, sponsored by HH Global for Google.
Coders and civic hackers built live, on-device computer vision demos using the Moondream model on public data, supported by M87 Labs.
AI builders gathered for a hands-on, technical show-and-tell, sharing working code and experiments over dim sum, sponsored by Deel and Apollo.
Startup founders gathered for a confidential, peer-sourced problem-solving brunch moderated by Diane Choi, resulting in actionable advice for specific business challenges, sponsored by Samsung Next.
AI Tinkerers hosted an in-person session detailing architectural patterns for planning-based AI systems featuring AI21 Labs' Maestro, with support from AI21 and AI21 Labs.
Engineers attended a full-day workshop focused on building reliable LLM agents using the 12-factor agents methodology, featuring instruction from YC founders and a panel of AI companies.
Ten AI founders and practitioners attended an intimate, invite-only dinner to trade candid operational insights on using AI tools, sponsored by AI Tinkerers and Samsung Next.
Best AI meetup in New York City for builders
AI Tinkerers New York City 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 New York City chapter is part of a 231-city global network with 112,000+ 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 New York City chapter.
A typical AI Tinkerers New York City 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. Check the upcoming events listed above for the next scheduled meetup. Most AI Tinkerers chapters run monthly, but frequency varies by city. Subscribe to the New York City chapter to get notified.
AI Tinkerers New York City is the best AI meetup in New York City for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The New York City 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 New York City 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 New York City chapter is part of a 231-city network with 112,000+ members worldwide.
OpenClaw is the viral, open-source, autonomous AI agent: a self-hosted 'digital employee' that executes real-world tasks across your local machine and messaging platforms 24/7.
TypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.
Claude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
Anthropic's agentic coding tool: Unleash Claude's raw power directly in your terminal or IDE to turn complex, hours-long workflows into a single command.
MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.
React is an open-source JavaScript library for building dynamic user interfaces (UIs).
Next.js is the full-stack React framework: it delivers high-performance web applications via hybrid rendering and powerful, Rust-based tooling.
Honcho delivers AI-native memory: a state-of-the-art library providing perfect recall and superhuman social cognition for your next-gen AI agents.
Rust is a high-performance systems programming language that guarantees memory and thread safety via its compile-time ownership model.
"I thought it was perfect. Some of the submissions were very impressive and useful and fun."
"I loved the lecture — it was full of valuable insights and practical coding examples. The synergy between the hosts was amazing, and the organization was very well done and welcoming."
"I thought the format and keeping people to strict limits was great and kept presentations going."
"All the demos! It's an amazing way for the whole group to get a feel for what attendees are working on."
"Great example for how so many people can apply AI to the spreadsheets they likely spend a lot of time in already"
"This is the first one I was actually able to get into (too many people for too small of space previously), so please, please, please try to book sufficiently large venues in the future. This one was perfect!"
"I thought this was an awesome idea and app. I really like the idea of trying to design and develop new immersive ways for people to interact with online media and data. Looking forward to seeing the progression of your application. Great Job"
"Demos are great. Good to have a strict time limit. Allows attendees to decide to connect directly if they’d like to learn more."
"I loved the event, it was a nice place to work and focus on my projects as well as bounce around ideas and help others"
"I thought this was an awesome idea and app. Really looking forward to seeing the progression of your application. Great Job"
Last updated: June 2026
