faceshapeapp

It's a social network centered around beauty and self-improvement that also includes ML tools for detecting facial features.

For example, the poster below showed the following link for the "ml" query: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que....

If you look at the results, the first 2 results only matched part of the poster's username and many of the top results here are empty threads which are not that useful since HN is mostly for discussions.

To be clear, I'm not saying it's all bad, just pointing out that there are low hanging fruits which can improve results quite a bit.

Also, Algolia seems misspelled in your query which is why it fails when reordering by date: https://imgur.com/a/pO9fBWr, it works otherwise. Although, it says the date is 1 day old when it's just 2 hours old.

It just seems to me that HN search does a simple keyword matching and reordering based on points without any ranking (please someone correct if I'm wrong).

So freshness doesn't seem to have any value, but the reality is that, at least in tech, very few content is evergreen. Also, when you try to reorder by date for example, you'll end up with a lot of empty threads which again are not that useful. I'm not sure if there's a way of eliminating empty threads from search results.

Although, am I the only one who finds that searching HN through Google gives better results than searching it through the Algolia powered HN search?

For example, search "ml" in both, Algolia results are years old and don't seem that relevant, whereas Google picks up more recent threads.

You could parse the exif and rotate the image using canvas, but thankfully, there's already a JS library which does it for you: https://github.com/blueimp/JavaScript-Load-Image.