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AI Tinkerers hosted a hackathon focused on building agents that integrate into daily workflows. OpenAI and other sponsors supported the event.
The inaugural AI Tinkerers Da Nang meetup united 30 builders from 31 companies across six countries, showcasing five live demos and supported by founding sponsor Dewly AI.
Best AI meetup in Da Nang for builders
AI Tinkerers Da Nang 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 Da Nang chapter is part of a 262-city global network with 133,000+ 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 Da Nang chapter.
A typical AI Tinkerers Da Nang 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 Da Nang chapter to get notified.
AI Tinkerers Da Nang is the best AI meetup in Da Nang for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Da Nang 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 Da Nang 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 Da Nang chapter is part of a 262-city network with 133,000+ members worldwide.
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Automate and streamline the annotation of raw data for machine learning model training.
Document parsing
Document parsing extracts key information from unstructured and semi-structured documents, transforming raw data into actionable insights.
Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.
A low-level orchestration framework for building long-running, stateful, and cyclic multi-agent systems using a graph-based architecture.
Large Language Models (LLMs) are transformer-based neural networks, trained on massive text data, that predict and generate human-quality language and code.
LLMs are revolutionizing translation, moving beyond traditional NMT to capture nuanced meaning and context.
MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.
Optical Character Recognition (OCR) is the foundational technology that converts typed, printed, or handwritten text from images (scans, JPEGs, PDFs) into machine-readable, searchable data.
OpenAI API: Your direct gateway to cutting-edge AI models (GPT-4o, DALL-E 3, Whisper), enabling scalable, multimodal intelligence integration into any application.
Last updated: September 2026
