[danfunk]

I hold a lot of hope that visual workflow tools like this will help more people use software to solve their own problems. With an LM's assistance a lot more people can create code but they need some kind of organizational structure - a software architecture that "citizen developers" can easily conceptualize. Targeting Data analysts and scientists seems like a good idea.

I admire the openness of the platform you are creating. I appreciate your blog post's note that current SaaS, cloud native, multi-tenant systems don't permit the kind of flexibility you need. There is substantial depth here - you have been working on this a while. Secrets for api calls, a repository for sharing solutions. I'd try it if it ran on Linux.

My company is working on a similar project, and I have mad respect for your efforts and how far you have come.

[monica-guli]

Really appreciate your thoughtful comment — it means a lot, especially coming from someone clearly thinking deeply about the space.

We share your hope: with the help of LMs, more people are able to write code, but they still need structure — something in between scripting and architecture. Our goal is to make that structure accessible, visual, and developer-friendly. Targeting data analysts and scientists is definitely something we're thinking about.

Glad you also picked up on our local-first direction — that was one of the core motivations behind OOMOL. We were frustrated by the limits of cloud-native SaaS: hard to customize, hard to self-host, and hard to mix real code into the flow. We wanted something that feels more like building actual software — but still composable.

At the moment, OOMOL runs on macOS and Windows. If you’re interested in Linux support or have ideas about your use case, we’d love to chat — we’re always learning from other builders in this space.

And likewise — mad respect for what you're working on. Would be great to swap ideas sometime.

Feel free to reach out at [e-mail] — always happy to connect.