Launch HN: Evidence (YC S21) – Web framework for data analysts
Have you heard of knitr (<a href="https://yihui.org/knitr/" rel="nofollow">https://yihui.org/knitr/</a>)? It's the gold standard as far as I'm concerned for dynamic report generation that needs to run code. Since it supports running arbitrary shell commands, it can already be used to query remote databases as long as you have a CLI to query them with. Combined with RMarkdown (<a href="https://rmarkdown.rstudio.com/" rel="nofollow">https://rmarkdown.rstudio.com/</a>), which augments Markdown with support for LaTeX typesetting, it's the ultimate toolset for doing this kind of thing. You can read a blog post here on how to use knitr within RMarkdown: <a href="https://kbroman.org/knitr_knutshell/pages/Rmarkdown.html" rel="nofollow">https://kbroman.org/knitr_knutshell/pages/Rmarkdown.html</a><p>I'm not trying to be a downer, but it seems like your product is just duplicating the functionality of these existing products but does less since it only supports SQL and Markdown.<p>I guess you autogenerate charts, but it says you're targeting a technical audience that is presumably comfortable calling functions in Python and R for graphical data visualization.<p>This is nitpicky, and I'm sure you have some command line option to choose another port (though your "get started" doesn't show how), but mdbook also uses 3000. I'm sure they probably weren't the first to default to that, either.<p>I hope this doesn't come across as downplaying your product. It looks nice. I just don't see what you offer here that can't already be done with existing data ecosystem tools. I was using RMarkdown with knitr to generate all of my papers when I was an ML grad student years ago. It felt back then like I was the only person at Georgia Tech who realized these tools existed, and now it still feels that way.