AI Tinkerers Austin x PostHog Demo Night
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🛠️ The Homebrew Computer Club for the AI Age
On Thursday, June 18, 2026, AI Tinkerers Austin is partnering with PostHog for an evening dedicated to the technical implementation of generative AI. This is a practitioner-only gathering focused on the “how” behind the build. We prioritize raw demos, messy experiments, and architectural deep-dives over polished pitches.
As the AI stack shifts toward autonomous workflows and agentic reliability, the gap between autocomplete and production-ready systems is widening. This event is where we bridge that gap by sharing what actually works in the IDE. Whether you are an experienced practitioner deploying complex agentic systems or a newcomer building your first LLM-powered application, you will find deep technical value and a community of peers doing the same.
🦔 Building Production AI with PostHog
Deploying AI products to production introduces unique challenges: tracking LLM costs, running evaluations, and understanding unpredictable user behavior. PostHog provides an open-source, developer-friendly “Product OS” that consolidates product analytics, session replays, feature flags, and A/B testing into a single interface.
Recently, PostHog launched dedicated AI observability and LLM analytics tools, enabling engineering teams to automatically cluster LLM traces, monitor latency, and track usage costs. During this meetup, we will explore how top teams use these developer-first tools to transition from raw prompts to highly optimized, observable AI systems.
📢 Call for Demos: Show Your Stack
We are looking for 5-minute technical demos that pop the hood on your current projects. We want to see your code, your agentic workflows, and your context-engineering setups. Your demo should answer: “How did you build this interesting thing?” not “Why should someone use this product?”
We welcome half-baked builds, fragile experiments, and hard-earned lessons. Show us what you built, how you built it, and what another builder can reuse or avoid. No slide decks are allowed—only working code and live deployments.
Note: Accepted demo presenters receive priority admission.
🗓️ Event Agenda
- 6:00 PM - 6:30 PM: Doors Open & Community Networking
- 6:30 PM - 6:45 PM: Kickoff & Sponsor Presentation by PostHog
- 6:45 PM - 8:00 PM: Technical Demos & Live Product Walkthroughs (with Audience Q&A)
- 8:00 PM - 8:30 PM: Open Networking & Peer-to-Peer Technical Exchange
- 8:30 PM: Event Close
📍 Logistics & Venue
- Date: Thursday, June 18, 2026
- Time: 6:00 PM – 8:30 PM Central Time
- Venue: STATION Austin (formerly Capital Factory), Downtown Austin, TX
- Access: The venue is located at 701 Brazos Street. To maintain a high-signal environment, attendance is strictly limited to 150 active builders. The exact room and entry instructions will be disclosed automatically to accepted attendees.
🎟️ Registration & Curation
AI Tinkerers is selective by design. We manually screen all applicants to ensure the room is filled with active builders—AI/ML engineers, technical founders, product engineers, and researchers who ship code. This focus guarantees high signal and candid technical discussion.
Due to high demand and venue capacity, space is strictly capped. Please complete your registration profile with your GitHub, LinkedIn, or Twitter/X link to help us verify your active builder status.
📸 Experience AI Tinkerers
Event photos
📊 AI Tinkerers Austin Stats
- Attendees: This community of 891 technical professionals features a high concentration of AI and machine learning expertise, with 82% specializing in LLMs and RAG. The membership includes senior leaders from Google DeepMind, Tesla, and Amazon. Notable for its focus on agentic workflows and autonomous systems, the group bridges the gap between theoretical research and production-grade AI deployment.
- Companies Represented: AI leaders and engineers from tech giants like Google, Amazon, Microsoft, and Nvidia, alongside teams from xAI, Adobe, Databricks, and Tesla, and emerging startups including Torc Robotics, Comet, ClosedLoop.ai, Loman AI, and more.
- Demos: 43 demos have been submitted and 40 have been presented. The most exciting themes have focused on agentic AI for real workflows, RAG/hybrid search for production-grade retrieval, and LLM engineering practices like eval/optimization, orchestration cost controls, and scalable LMOps. Highlights include Russell Sadrieff’s AI PM workflow, Julian Ghadially’s DSPy optimization experiments, J. Michael Rozmus’s Bedrock RAG chatbot, and Michael Samon’s legislative monitoring system.
- Testimonials:
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