I had a look at BookOrbit not long ago. Love the fact that it is able to manage all book types (manga, comics, ebooks). Perfect for me and have been struggling to find a good tool that does all of them without being stupid heavy in resources. Once I looked at the repo, source, PRs etc. I noticed how heavy AI use is. This feels purely vibecoded without much for understanding what is actually being delivered. So ended up not using.
Why not use Kavita then? It uses even less resources, it's mature (nearly 5 years old) and supports manga/comics/ebooks with a rich ecosystem of apps (esp with AI now, lots of users are creating mobile apps to connect).
I’m a huge fan of bookorbit, especially when paired with KOReader. It’s been, bar none, the best reading experience. I love having my highlights saved in software I control and can do whatever I want with. Currently I have multiple e-ink displays around my house that rotate a book quote from my highlights once a day. I love seeing the highlights and I love knowing the whole pipeline is open source.
I haven't spent much time with calibre-web in a long time but can confidently say BookOrbit blows it out of the water in terms of functionality. I love that I can have one app that handles books and audiobooks. The ecosystem of apps that work with it is growing quick too, Apogee for iOS being a standout for me. They recently added readaloud support (like Amazon Whispersync or Storyteller) natively in the app, which I've never seen done before.
I have no relation to BookOrbit except I'm a very happy user.
The storyteller mobile apps have supported readaloud for years. You can even set different playback speeds for readaloud vs listening, so when you background the app or lock your phone screen, it will switch from the readaloud speed to the listening speed. I typically use like 2.25x for readaloud and 1.5x for listening.
Yes they have, but they didn't have the ability to align a book _on device_ like Apogee does. It just listens for a few seconds of audio to find where you are in the book and then aligns automatically going forward without having to pre-process.
Yeah I looked at it, LiteLLM is functionally more mature.
The only reason I didn't go for it is I'm not a fan of Python dependency management, Bifrost is just a single executable that uses nearly no memory and is lightning fast.
Ramp (the startup neobank that has eaten Brex's lunch as of the last year or two) is getting into the AI routing game to compete with OpenRouter and LiteLLM it seems.
They recently rolled out some quite good cross provider AI spend management tools. The router is surprising but also makes sense for them I think.
> Also note that the python visualizer tool has been basically written by vibe-coding. I know more about analog filters -- and that's not saying much -- than I do about python. It started out as my typical "google and do the monkey-see-monkey-do" kind of programming, but then I cut out the middle-man -- me -- and just used Google Antigravity to do the audio sample visualizer.
