Viewing profile — margotli

Well, the model can suggest patterns, but everyone is responsible for what they post.

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.

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…

Haven't used anything - I'm as impressed as you are.

Hey HN community, I built a tool that helps optimize your post for hitting the first page of Show HN. How it works: I used a Hugging Face dataset of all Hacker News posts from the …

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 o…

Ha-ha, all good - I can see your comment.

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 h…

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…

Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible ( https://news.ycombinator.com/item?id=44388093 ). We got reques…

We at Metabase asked 338 teams in our community about how they build and use their data stacks, from tool choices to AI adoption, and built a community resource for data stack deci…

Feels like a useful tool for anyone learning analytics or just needing sample data to test with.

Nice one!

This isn't another dull "what's your data stack" survey. We want to dive deep into the real reasons behind the choices data teams make, when they make them, and whether they're tru…

Earlier this year, we conducted an anonymous data stack survey with 189 responses. While our insights aren't statistically representative of all data professionals, and 89% of the …