Hmmmm. On one hand "closing.wtf" definitely stands out... So many startups have boring branding. But on the other hand, you are building in a legacy space. It's important to build trust & pay attention to the feedback here.
Does your target demographic understand "startups" or do they just want to solve the problem?
That's not a bad description. I don't have a good comparison— we mostly just built this as a tool that we personally needed. I like to think of it like W&B but also in the world of logging tools like Prometheus.
LLMs are a funky thing to work with, and we need a whole suite of new tools to make them prod-ready.
Yes! Please sign up on our website, would love to chat further and see if it can help. Our goal is to decrease reliance on data engineers when building data teams
We will have an open-source core framework (the Python decorator part). Kind of following the DBT model. Still very early (in alpha) so will not open source until the beta development begins.
Hey- Jared here! I am one of the founders of Magniv. Let me know if you have any questions. We are excited to get this in the hands of beta testers in the community :)
It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products?
It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean?
Yeah, so one of our differentiating points is that we can integrate with whatever scheduler you are already using.
On top of that a lot of the libraries that exist are focused on ML, focusing on resources/gpu etc. We are more focused on the data science side of this problem.
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