Join Us for AI Tinkerers on Friday, May 30th!

Get ready for another exciting evening of innovation and collaboration on Friday, the 30th of May.

What is AI Tinkerers?

AI Tinkerers is a meetup designed exclusively for practitioners who possess technical, machine learning, and entrepreneurial backgrounds and are actively building with AI. If you’re deeply passionate about creating LLM-powered applications, have hands-on experience in building such systems, and are eager to connect with like-minded individuals who share your level of commitment, then this group is the perfect fit for you.

Space is limited, so register early. If you’re building something interesting, submit a demo here.

Sponsors

Logic - We are incredibly grateful to long-time AI tinkerer Steve Krenzel for sponsoring this event through his innovative platform, Logic.

Logic lets builders create AI-powered workflows and features as fast as they can write them down. Add your process docs – like operational guidelines or feature specs – to Logic and get back fully-functioning APIs seconds later. With robust tests, schemas, versioning, and guardrails all baked in, Logic gives you confidence that everything will run exactly as you need it to.

Foundations - Our venue for the evening stands as Seattle’s premier invite-only gathering space for ambitious tech founders, providing the essential infrastructure where innovation naturally unfolds. The thoughtfully designed Capitol Hill location brings together experienced founders, new innovators, and industry leaders in a space that balances focused work with organic collaboration. Understanding that time is every founder’s most precious resource, they’ve crafted an environment that maximizes meaningful connections while respecting each member’s pace.

Details

• Date: Friday, May 30th, 2025 from 6:00 PM - 9:00 PM
• Location: Foundations - 1605 Boylston Ave, Seattle, WA 98122
• 🍕 Food will be served.

Agenda

• Mainstage Demos: 6:30pm - 6 selected demos, 5 minutes each
• Science Fair: 7:00pm - Hands-on community demos at stations throughout the venue
• Networking: 7:00pm - Trade notes with like-minded individuals who are also building in the AI space

Demos

All demos will be approved, as this event allows for hands-on demo stations / a science fair. A few demos will be selected to present on the Mainstage (if this is you, we’ll reach out a few days in advance, so submit your demo now!)

• Mainstage presenters are capped at 5 minutes.
• Science Fair presenters are capped at approximately 30 minutes, as we usually need to cycle through to accommodate all demos. (We also want science fair presenters to get a chance to see the other demos!)

➡️ Submit your demo here

Registration

Space is limited, so be sure to register early ☝️ at the top of the page ☝️ to secure your spot. Come ready to share your insights, learn from others, and enjoy an evening of community engagement.

📊 AI Tinkerers Seattle Stats

• Attendees: This exclusive community of 5,360 technical professionals comprises approximately 43% senior software engineers, 32% AI/ML scientists, and 25% technical founders. Members possess deep expertise in agentic workflows, LLM orchestration, and cloud infrastructure. Notably, the group bridges elite enterprise talent from Microsoft and Amazon with venture-backed startups, driving rapid, open-source AI integration and local-first hardware-software innovations.
• Companies Represented: Featuring industry giants like Microsoft, Amazon, Meta, Google, and Apple, alongside leading AI innovators such as OpenAI, Anthropic, and Together.ai, and rising startups like CopilotKit, OpenPipe, Fixie.ai, and Moondream, and more
• Demos: 614 demos have been submitted and 266 have been presented at AI Tinkerers – Seattle. The most exciting themes have frequently blended agentic workflows, production-ready LLM engineering, and agent/tool orchestration, while technical highlights have emphasized RAG and memory systems, structured outputs for reliability, multimodal real-time UX (especially voice/vision), and evaluation/observability for safer iteration—often alongside privacy/security and edge performance work.