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margotli

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Show HN: I built a tool that helps predict HN front page success

wannalaunch.com
26 points·by margotli·2 mesi fa·23 comments

What predicts Show HN front page success? I analyzed 73k recent ShowHN posts

wannalaunch.com
3 points·by margotli·2 mesi fa·9 comments

[untitled]

1 points·by margotli·3 mesi fa·0 comments

Show HN: Open-source AI data generator (now hosted)

metabase.com
39 points·by margotli·10 mesi fa·0 comments

comments

margotli
·2 mesi fa·discuss
Well, the model can suggest patterns, but everyone is responsible for what they post.
margotli
·2 mesi fa·discuss
That is true and I agree. I guess in this case the "success" I meant was hitting and staying on the front page so that more people can see your project.
margotli
·2 mesi fa·discuss
That's my second try, my first post actually got shadowbanned, so I had to change the domain (it was originally GitHub) and the title wording for this one.

There are still a lot of random factors on HN, so nothing can predict things perfectly, but I like that the model gives you feedback based on real data behind it.
margotli
·2 mesi fa·discuss
Haven't used anything - I'm as impressed as you are.
margotli
·2 mesi fa·discuss
That what surprised me too, also Saturday turns out working just fine. My explanation would be that on weekends there is less competition for the attention. Even with less people on the platform, it's still easier to get noticed.
margotli
·2 mesi fa·discuss
Ha-ha, all good - I can see your comment.
margotli
·2 mesi fa·discuss
I used a dataset from HuggingАace to analyse all Show HN posts for the past 3 years. Here is what influences if the post gets on the front page.

- Niche technical topics have the highest viral rates (Rust, Postgress, Lua, etc) - Open source tools are the top performing category with 13.9% viral rate - "I built" outperforms "We built" - Sunday noon UTC has the highest chances to hit the front page - Titles with a parenthetical work much better that those without.

More insights in the blog article.
margotli
·3 mesi fa·discuss
I guess because tokens is the only metric that ""reflects" how high your AI adoption is. So especially in tech industry, if a company pushes for AI adoption, the token usage is the only proxy metric you have.

Agree that it's absurd though.