gits997

Looks like a good way to get indexed :p

Not a code specific review - claude catches more than humans do.

But in cases where context lives in peoples heads, its hard for ai to know whats going on snd whats the main goal of this code chanhe.

if the context is given (or documented somewhere claude has access to) + context of company is not too big ti consume it, there is no use in human review imo.

Concept looks great but you just have reddit comments written with no reference to actual comment. How am I gonna know whether its real or made up comment?

For users to trust, Id suggest add links to origin comments and posts and likewise, somehow indicate where and what you scraped so that users know its not a biased channel or fake sentiment

Sorry but is it still a promotion if I started an open source, have absolutely no commercial benefit from it and think it may be genuinely useful and helpful for people?

It's like telling linus torvalds to not talk about Linux because its "promotion" (not comparing myself or the scale but principally its exactly like that)

No, I use existing model(s) as a base along with LLMs to: 1. enhance the prompt and add technical details that are important for high quality thumbnails (e.g. high contrast image) 2. validate the generated images and choose the best one.

Thanks for the comment. Appreciate the interest.

I did the experiment for my fantasy youtube channel (https://www.youtube.com/@AIBookBytes) and CTR increased from 1.2% to 2% which for me was a huge deal.

This is probably not the tool for super high subscriber youtube channels but from amateurs to mid size youtube channels could be very helpful. Obviousy it is clear that it's AI generated by many channels use that and still are successful. As long as expressions are clear and text is bold and visible, should be good.