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Building a "Sovereign AI Farm" in Sweden – Launching tomorrow with 0 followers. Thoughts?

I’m launching agentfarm.se on Product Hunt tomorrow.

Beyond building a hub for sovereign and secure AI agents, this project is my way of diving deep into how agents actually behave and how we can influence them. I’m a firm believer in the idea that the best way to understand agentic workflows is to build them in the open.

The Goal:
To create a platform where we can learn together. I want to use the feedback from the first users to steer the development of the farm. Instead of building in a silo, I want to see how others interact with these agents and what security/sovereignty trade-offs they are actually concerned about.

The Strategy:
I'm a solo maker launching without a large following. I’m treating this launch as a "live lab" – a way to gather insights and iterate fast based on real-world usage.

I’d love your thoughts on:

What’s the biggest "black box" mystery you’ve encountered when working with AI agents?

As a community, how can we better influence agent behavior without relying on proprietary guardrails?

The Demo:
You can check out the pre-launch and the video here: https://www.producthunt.com/products/agentfarm/agentfarm/prelaunch

I’ll be here to discuss agent mechanics, the tech stack, or how we can build better local AI together.

on March 2, 2026
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    The sovereignty angle is smart positioning. With all the data residency regulations tightening across the EU, having compute that explicitly stays within Swedish jurisdiction is a genuine selling point — not just a buzzword.

    Launching with 0 followers is honestly fine. Most successful PH launches I've seen came from founders who spent the 2 weeks before launch engaging authentically in communities (exactly like posting here). The followers come from the conversations, not the other way around.

    Curious about the business model though — are you going usage-based or flat subscription? For AI compute especially, usage-based seems like the natural fit but it makes revenue prediction harder as a bootstrapper.

    Also: what's your approach to monitoring usage across the different AI providers your agents connect to? That's become one of the biggest pain points I've seen — people spinning up agents across Claude, GPT, Gemini etc. and having no idea how close they are to hitting rate limits until they actually hit them.