I'm building NAEOS (Nusantara AI Engineering Operating System) — an open framework for AI-native software engineering.
I'm looking for a technical co-founder who wants to help build the foundation for how AI agents develop production software.
Looking for someone interested in:
This is an early-stage project, so I'm looking for someone who wants to build, experiment, and shape the product together, not just join an existing company.
Equity-based. Remote. Global.
If this sounds interesting, DM me or comment below.
The mission is interesting, but a strong co-founder candidate needs a concrete starting point. Share what exists today, the first user and workflow, what you have validated, the next 90-day milestone, expected time commitment, and the equity decision process. A short build trial with a real architectural problem will reveal compatibility much faster than broad interest in agents and open source.
I agree. Broad interest in AI agents or open source isn't enough to determine whether someone is the right co-founder.
The starting point I'd propose is deliberately small:
What exists today
NAEOS already has a defined reference architecture, engineering constitution concepts, quality-gate direction, documentation/knowledge layer
NAEOS sounds like a genuinely interesting problem space, the idea of AI agents actually shaping how software architecture gets built (not just autocompleting it) is something I think about too, I build a lot of my own projects with Claude Code as part of the workflow already.
I'm not in a position to commit as a co-founder right now since I need paid work more than equity at this stage, but I'd like to stay connected and hear more about where you're taking it. Happy to swap thoughts on AI-native dev tooling if you're open to that
Totally understand, and I really appreciate the honesty. No pressure at all on the co-founder side.
I'd definitely be happy to stay connected and swap thoughts. The fact that you're already using Claude Code in your own workflow makes your perspective especially interesting to me — we're thinking a lot about how AI can move beyond generating code toward understanding and actively shaping the architectural context around it.
Would be great to compare notes sometime and hear what you're seeing in practice.
I'm interested.