I thought the docs were pretty good just going through them to see what the product was. For me I just don't see the use-case but I'm not well versed in their industry.
I think the docs are great to read, but implementing was a completely different story for me, ie, the Ask AI recommended solution for implementing Claude just didn’t work for me.
They do have GitHub discussions where you can raise things, but I also encountered some issues with installation that just made me want to roll the dice on another provider.
They do have a new release coming in a few weeks so I’ll try it again then for sure.
Edit: I think I’m coming across as negative and do want to recommend that it is worth trying out langfuse for sure if you’re looking at observability!
The internals document looks pretty great too. It actually talks of internals and goes pretty wide and deep. Saved for reading later once the coffee kicks in!
It’s not, it’s just how hackernews works. You’ll see new projects hit 1k-10k stars in a matter of a day. You can have the best project, best article to you but if everyone else doesn’t think so it’ll always be at the bottom. Some luck involved too. Bots upvoting a post not organically I doubt is gonna live long on first page.
But, star buying for GitHub is a thing too. This is why you have to look at things like number of contributors, forks, watchers, and pull requests. Just a lot of stars, without the other positive indicators, can be an indication that the project is not so engaging as it might seem or its supposed popularity is fake.
Past few years working on TidesDB - a storage engine for building databases. Think a game engine which is used for building games. https://github.com/tidesdb/tidesdb
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