The in-person gathering celebrated two years of local AI momentum, featuring short hands-on demos and a planning discussion to shape the year ahead.
Attendees engaged in hands-on demos, project show-and-tells, and community networking, featuring presentations on Weave and Caret, with support from Weights & Biases.
The in-person gathering focused on connecting AI builders, sharing work, and featuring short talks and demos following a recent hackathon.
Local peers gathered for a multimodal AI hackathon featuring access to specialized tools and expertise, concluding with prizes awarded to top teams. Groq, Twelve Labs, and Focused Labs sponsored the event.
Fellow AI tinkerers gathered for hands-on learning, short talks, and demos. The event featured guests Junaid Dawud and Alex Volkov, with beverage sponsorship from Code Talent and Weights & Biases.
The in-person gathering featured Groq demonstrating their LPU inference engine and answering questions for hands-on builders. The community shared AI developments and demos, sponsored by Groq.
Practitioners gathered to demo, learn, and network, fostering open sharing and practical knowledge transfer within the growing community.
The in-person gathering featured practical AI work sharing, demos including Spotify recommendation models, and open collaboration among builders.
The AI Tinkerers group held an in-person meetup in Denver. The gathering focused on artificial intelligence topics for tinkerers and developers.
Builders and tinkerers gathered for hands-on learning, demos, and collaboration focused on machine learning and generative AI. Hosts guided the practical evening.
Best AI meetup in Denver for builders
AI Tinkerers Denver 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 Denver chapter is part of a 243-city global network with 114,000+ 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 Denver chapter.
A typical AI Tinkerers Denver 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 AI Tinkerers Denver - June Meetup on June 30, 2026. Subscribe to the Denver chapter to get notified about future events.
AI Tinkerers Denver is the best AI meetup in Denver for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Denver 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 Denver 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 Denver chapter is part of a 243-city network with 114,000+ members worldwide.
MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.
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.
Playwright is the Microsoft-developed, cross-browser automation framework: it drives Chromium, Firefox, and WebKit with one unified API for fast, reliable end-to-end testing.
Automate browser-based workflows using LLMs and computer vision to navigate complex websites without custom scripts.
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.
An agentic coding system that reads your codebase, edits files, runs tests, and delivers committed code directly from your terminal or IDE.
The programmatic interface for Claude Code: build production-ready AI agents with full access to code execution and rich tool use.
The Claude SDK provides official client libraries (Python, TypeScript, Java, Go) for direct, programmatic integration with the Claude API.
Anthropic's Claude Agent SDK is a developer toolkit in Python and TypeScript that packages the autonomous agent loop, context management, and tools powering Claude Code into an embeddable library.
DuckDB is the high-performance, open-source, in-process analytical data management system (OLAP) that runs complex SQL queries directly on your data files.
"I had an amazing experience meeting a lot of impressive people and felt both welcomed and highly encouraged by my experience and conversations. Thank you so much!!"
"I enjoy the overall event. This is the first hackathon and wasn't sure on what to expect. Meeting new people. I had a great time."
"Keep the AI subject matter current and nerdy. Great environment for AI interests including non-tech vibe coding and other new adventurers"
"Venue was great, plenty of space and comfortable. Fit the energy of the event very well."
"Very impressive, everything in the demo functioned. I really loved that the public repo offered was scientific in nature, given the intent of what was built it fit perfectly."
"Would love it if there was like a discord or online community for the group"
"Great start and I love how you are leveraging your depth of experience in packaging the product."
"It was my first hackathon and overall I thought it was amazing. There's not a lot I would change. It was hot in the Code building, but nothing really to do about that."
"The venue is not great, but good for the size of event."
"Time for networking is great. Additionally, the demos were quite neat."
Last updated: June 2026
