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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.
Attendees joined an intimate, invitation-only dinner for technical leaders to discuss deploying private enterprise artificial intelligence infrastructure with Kamiwaza.ai.
AI Tinkerers hosted an in-person evening featuring enterprise-grade agent demos and technical talks focused on LLM building, sponsored by Kamiwaza.
Engineering leaders attended an intimate, invite-only VIP dinner for a focused discussion on integrating AI coding assistants into production systems.
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 252-city global network with 123,000+ 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 252-city network with 123,000+ members worldwide.
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.
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.
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.
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.
React is an open-source JavaScript library for building dynamic user interfaces (UIs).
Access Anthropic's state-of-the-art Claude models (Opus, Sonnet, Haiku) via the RESTful Messages API, integrating advanced AI capabilities directly into your applications.
Deno is the secure, modern runtime for JavaScript, TypeScript, and WebAssembly (built on V8 and Rust) that provides a complete, zero-config toolchain.
GCP delivers Google's global infrastructure (Compute Engine, BigQuery) for secure, scalable cloud solutions and AI/ML innovation.
"The vibe is spot on with minimal admin and a focus on digging in and hacking and not taking it too seriously. The sponsors were also a great match for the theme. The handbook was useful and thorough."
"I thought it was perfect. Some of the submissions were very impressive and useful and fun."
"Encouraging networking is great, allowing people to share what they work on is a good ice breaker"
"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"
"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"
"It would be great to link to the handbook directly in the email since I couldn’t find it until well after the hack started."
"Loved the environment. Super comfy and welcoming. It was a pleasure having the opportunity to learn and work on our hackathon project here."
Last updated: August 2026