Clever Clickbait - Of course at the end of the article they offer a solution - their product (and of course it’s AI enhanced) to the problem they have overhyped.
General remark for startups wanting attention on HN: it's not good to end an interesting article with a call-to-action that makes your article feel like an ad. Readers who read to the end experience that as a bait-and-switch and end up feeling betrayed.
What works much better is to disclose right up front what your startup is and how it's related to the article content. Once you've gotten that out of the way, the reader can then dive into the (hopefully) interesting content and end the article on a satisfying note.
Btw, I have a set of notes on how to write for HN that I'm working (slowly) on turning into an essay. If anyone wants a copy, email me at hn@ycombinator.com and I'll be happy to send it. It includes the above point and a bunch more.
As a reader I’d have appreciated the original. And I’d appreciate a nice HN alternative.
I admit that's not precisely how I described it in the GP comment but it never crossed my mind that anyone would care. Commenter objections never fail to surprise!
Edit: I think I was right that it was in their interest as well as all of ours, because earlier the thread was dominated by complaints like this:
https://news.ycombinator.com/item?id=35718321
https://news.ycombinator.com/item?id=35718172
... and after the change, it has been filling up with much more interesting on-topic comments. From my perspective that's a win-win-win, but YMMV.
We have been working on automatic database optimization using AI/ML for a decade at Carnegie Mellon University [1][2]. This is not a gimmick. Furthermore, as you can see from the many comments here, the problem is not overhyped.
But I can't find the Ottertune Github page
Is any part of Ottertune open source?
So how does one work around PostgreSQL’s quirks? Well, you can spend an enormous amount of time and effort tuning it yourself. Good luck with that.
did they mention LLM/ChatGPT?..