It’s obviously blog content designed to promote your product, hosted on the company’s product website. I don’t see how the FYI is unfair.
I added it because the content was valuable but HN can be finicky about blog posts from companies advertising their own products. Trying to get ahead of indignant dismissals.
There's so many blog posts posted here that could fall under "content marketing" umbrella if you want to be strict. I feel like there's no problem with that if the content is valuable and people like/upvote it. After all this is a platform that is doing marketing for YC where YC companies are supposed to post their content too.
That "warning" also stuck out to me as a bit unfair as I was even looking for how it hooks into ScrapingBee (as I was curious how these scraping-aaS platforms interface with custom code) and couldn't find anything.
from scipy.stats import binomtest
chance_of_dead_page = binomtest(landing_page_counter["dead"], landing_page_counter["total"]).proportion_ci(confidence_level=0.90)
print(f'Chance of a dead but existing landing page (90% Confidence Interval):{chance_of_dead_page.low * 100:.2f}% to {chance_of_dead_page.high * 100:.2f}%')I've worked in or adjacent to the content marketing world long enough to know that a CTA is not necessary for the post to be marketing/advertising. One of the major goals of content marketing it to establish the authority of the brand. You are well aware that the raison d'etre of that post is to spread awareness of and establish the authority of ScrapingBee.
It doesn't mean the post is not interesting, useful or valuable. But that post exists fundamentally for marketing/brand purposes.
Parents warning is completely fair, especially since they immediately point out the value of the post.
If you're paying attention you know it's content marketing. If you're oblivious, the marketing probably isn't working.
Either way, you probably don't need a warning.
But anyway,
I thought about taking a random sample of pages who returns a "200". Let's say 150, and manually tagging them to find if they're "dead" or not.
And then reuse the "dead or alive but a 200" ratio for all the pages but I was afraid that I'd need to tag much more than 150 pages to have a significant statistical result.