Technical Context
I love these kinds of events not for the fancy banners, but for the density of knowledgeable people in the room. The AI Tinkerers Valencia June Meetup ft. PostHog is scheduled for June 16, 2026, in-person at Base 2 on Calle de la Travesía 15B in Valencia, and an RSVP is required.
As a June Demo Night, this is not about boring keynotes with generic slides, but an evening dedicated to showing working builds and instantly jumping into deep conversations. For me, this is always far more valuable than any long webinar, especially when discussing AI automation, developer tools, and product telemetry.
One solid signal: PostHog is right there in the event name. This is a very good sign because PostHog is typically relevant where people discuss product analytics, feature flags, experiments, and connecting them to real development, rather than talking about abstract "AI for the sake of AI."
There is a nuance regarding Tuomas Artman. I see mentions that the CTO and co-founder of Linear lives in Valencia, but based on available sources, I cannot honestly confirm that he is announced as a speaker for this specific meetup. And I prefer not to speculate; the event looks strong enough without extra assumptions.
If you are building AI integration into your product, these offline meetups offer more than meets the eye. In a single evening, you can quickly benchmark your tech stack, ask others where their event pipelines break, how they hook up analytics to AI features, and what actually helps them ship faster.
What This Changes for Business and Automation
I wouldn't view this meetup as just news, but as an active workspace. The winners here are those building product teams, internal tools, and AI solutions for business who want to discuss real architecture with people who actually ship software, instead of reading another online thread.
The only losers are those who show up without a specific goal. If you don't have a concrete question about data, AI implementation, or dev workflows, the evening will easily turn into just a pleasant chat.
I would go there with three main topics in mind: how to collect telemetry for AI features, how to measure the real utility of in-app assistants, and how to avoid over-engineering your AI architecture too early. At Nahornyi AI Lab, we solve these exact problems for our clients all the time, and the most expensive mistakes usually happen right at the intersection of analytics, automation, and development.
If your team is currently stuck on AI features, your analytics don't add up, and your automation relies on simple scripts and wishful thinking, let’s sit down and figure it out. At Nahornyi AI Lab, I will help you build a robust system and implement AI automation customized for your specific workflow—without the hype and with clear business value.