The Self-Driving Product: Merge x PostHog x Redis Technical Talks

Building something that can run itself? We want to see it. Join Merge, PostHog, and Redis for an evening of technical talks about building AI products that can observe, act, and improve in production. We’ll get practical with demos covering model routing, AI observability, real-time context, memory, and the infrastructure that keeps self-driving products fast and reliable. We’re also giving NYC builders the stage. If you have a working product or prototype that fits the theme, apply for the community showcase! Four builders will each get five minutes to show what they built and explain how it works. Come for technical talks, great food, and a chance to meet other people building in NYC. Apply to present: https://forms.gle/kr4myTvg1Q1iNEMK9 Agenda: 6:00-6:20 — Doors, food, and networking 6:20-6:40 — Merge technical talk and Q&A 6:40-7:00 — PostHog technical talk and Q&A 7:00-7:20 — Redis technical talk and Q&A 7:20-7:40 — Community showcase with four presenters, 5 mins each 7:40-8:00 — Closing & networking Event info: Location: Address is in Flatiron, NYC and will be sent out to approved registrants. We can only admit guests with approved registrations. If you’re still on the waitlist or haven’t received a confirmation yet, please stay tuned for future events! About the hosts: Merge Merge is the connectivity layer for AI. Its gateway and integration products help teams connect products and agents to models, tools, and business systems without building every connection from scratch. https://www.merge.dev/ PostHog PostHog helps teams understand how people use their products and improve what they build. Its AI observability tools make it easier to trace model calls, evaluate outputs, catch problems, and understand how AI features behave in production. https://posthog.com/ai-observability Redis Redis is an in-memory data platform built for fast, real-time applications. Its AI and search tools help developers give agents fresh context, persistent memory, vector search, and semantic caching at production scale. https://redis.io/