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I spend a lot of time trying to find articles I once read on here via Google with...

  site:news.ycombinator.com some term
...but a many times "some term" is not in the title of the HN post, but in the body of the article. I didn't see any other tools that did this for HN.
Consider expanding the scope to index links posted in user comments, too.
There's also Algolia, https://hn.algolia.com
It doesn't index the article contents though; only the story titles and comments, same as Google.
It does seem to have a much larger index though, which for me at least makes it more useful. Hopefully hndex's index will grow.
How did you come to this conclusion with respect to hndex?

Most articles have no comments. Yet one can search on hndex for terms only found in the article, not in the title.

I wasn't really saying anything about hndex, apart from that it indexes the contents of external articles submitted to HN, as you said.

The correction I was making was about HN Algolia search (which is linked from the search box at the bottom of each HN page), which only indexes content on news.ycombinator.com itself – i.e., article titles, comments and text-only posts like Show/Ask HN – but not the external content in submitted articles.

Yes, me too! This is really great, thanks! I'll definitely be using it.
This is really useful! You might want to consider hiding the “More”-button if the current page isn’t filled up, so as to not just have an empty page when clicking it.

For some reason I couldn’t find my own blog post[0], even when searching for the embarrassing typo I made in the title - acommodating.

[0] https://news.ycombinator.com/item?id=23426951

what are you using to do the full text search?
Very nice. Works as expected. I stumbled about two things that could be improved:

- Add a search Button for convenient mobile use or if a user copy pasts things into to the search field using the mouse

- Add a comment counter on the result page, Since you index every article a lot of them have none or very few comments.

Oh and just a warning, depending on the jurisdiction providing the cache could be problematic under copyright laws since its basically a copy of the article.

For that specific use case, you can try the intitle keyword

  site:news.ycombinator.com intitle:"some term"
Ohhhh I first thought this was a search engine for hacker news and I was wondering why the hell anyone would reimplement this, but this is fricking cool. Tbh I wanted to implement something similar for more than hackernews, but this is a nice thing to have. I especially love that you implemented a cache :)

Seems nice. Sort and filter functionality would probably add to this, but I will bookmark this for sure and try it out as a search engine for tech topics in general.

Thanks for creating this!

What does this offer over https://hn.algolia.com?

(Algolia was backed by YC btw)

Looks like this search engine searches the _articles_ and links that have been shared, whereas hn.algolia.com only searches title, author, and the text of a post if it is a text post.
Neat project. It’s a bit depressing how many of the article links don’t work anymore. For example, only the official signal vs noise article works on the first page of results for Basecamp: https://hndex.org/?q=Basecamp

How does ranking work? Apologies if I’ve missed the explanation.

It would be great if each result also had [archive] and [web] links like HN.

> How does ranking work?

Great question, it's something I'd love to know more about as well.

It would be great if that was native HN functionality. Why isn't it? It seems like it would only help, and how hard could it be?
They easily could (I think it would take the average HN user no more than a couple of hours to implement this functionality), but they won't, because they're very reluctant to make changes.

This is also why HN still looks like a site from the 90s, instead of New Reddit (thank God).

It’s not all bad. We still have HN as it is now. Status quo is its own kind of success. HN is essentially feature complete, so I don’t blame them for not trying to fix what ain’t broke.
Articles which have been posted to HN often end up in the archives of Archive.org and Archive.is in my experience.

The OP site also has a “cached” link for each article, don’t know if you saw that.

Also, to the maker of HNdex, consider adding links to Archive.org and Archive.is next to the cached link you have, so that readers can click through and check if they have a version of it in case there’s images etc

I did miss the cached link—thank you!
Nice.

HN feature request: Add submissions to archive.org (or equiv), include that cache link with story.

That's awesome! I searched for MuleSoft, not expecting anything in particular, and found a random fact (at the end) that certainly wasn't in the title of the article.

Bug report: in Safari on dark mode, the text in the search box is almost the same color as the background (white on white).

From "GitHub was also talking to Google about a deal, but went with Microsoft instead" https://www.cnbc.com/2018/06/05/github-interest-from-google-... - Salesforce got MuleSoft for $7.5 billion, Microsoft got GitHub for $7.5 billion.

Well done. One nit...if you enter something it doesn't like, the error that pops up isn't helpful: "Please match the requested format"
Beautiful! Please consider adding a dark mode option.
Hm, dark mode is working for me (iPhone, iOS 13.6)
I don't know why but to me the background is #000 black with #fff text by default...

It's such an intense "dark mode" that I couldn't read the first full article of interest I found because the contrast was killing me, and then coming back to regular HN left me nearly blinded for a few secs

This is neat!

- What is your stack?

- How often is your database updated?

- And will it be open source in the future?

I'm worried making it public will encourage companies to "SEO"ify HN.
I love this. The search box had an option to autocomplete terms I had recently searched, I clicked on one (a term I was interested in, obviously) and immediately found an interesting HackerNews post. Nice!

I think HackerNews and other link aggregators (e.g. reddit) have a kind of recency problem, where there is a lot of great content, but people only see the recent stuff. This seems like a great way to uncover some of the latent value of old HackerNews content.

Is there a way to suggest content too? e.g. If you liked that, you'd probably also like X, Y, and Z.

>I think HackerNews and other link aggregators (e.g. reddit) have a kind of recency problem, where there is a lot of great content, but people only see the recent stuff.

With Reddit and HackerNews, I want a relative ranking index. I can search by the top content, but something 5th today could have more votes than the top submission of 2015 because of forum/subreddit growth.

I want them ranked by something like the ratio of views to upvotes or upvotes compared to total upvotes for that day.

> I want them ranked by something like the ratio of views to upvotes or upvotes compared to total upvotes for that day.

Yeah, this is definitely possible with public data. I did something similar on reveddit [1] for removed reddit content. Hovering over the graph shows the item with the highest vote ratio [3], and clicking skips to that point in time. Code is here [2] for anyone interested and I apologize in advance..

[1] https://i.imgur.com/p3Bi5IS.png

[2] https://github.com/reveddit/ragger/blob/master/revddit_aggre...

[3] https://www.reveddit.com/r/worldnews/?showFilters=true

I want a map-reduce over their content that turns them into a canonical “master guide” of their topics.
Absolutely. HN user 'EvanMiller had a lot to say about this, 11 years ago. His tl;dr is that the ranking score should be "the Lower bound of Wilson score confidence interval for a Bernoulli parameter."

I believe HN's ranking system is extremely creative and works great for the main page and day-to-day use (my understanding is that it additionally makes use of time-decay terms for comments and stories). Like you said, it's really just historical search (i.e. algolia) that seems broken.

https://www.evanmiller.org/how-not-to-sort-by-average-rating...

https://news.ycombinator.com/item?id=15709405

https://www.evanmiller.org/bayesian-average-ratings.html

https://www.evanmiller.org/ranking-items-with-star-ratings.h...

https://redditblog.com/2009/10/15/reddits-new-comment-sortin...

can i sort by date? i searched for kubernetes and the first page results were from 2016.
Yes, with so much context missing from the results it's pretty confusing.

Ideally for this to be useful I'd want date on HN, date of article (although I see that'd perhaps be hard to extract from unstructured pages) and also the HN points, as those are a major proxy to quality usually.

As others have said it has a nice crisp UI and i like that it's so quick.

This produces such a unique set of results for things.

Fantastic project and well worth creating!

As another commentor has noted - this totally disobeys recency bias and throws up interesting articles for a topic.

Edit - it is disappointing how many of these links 404. But even if that's the case the headline and intro is a set of time capsules of sorts nonetheless.

So the first term I searched was "cognitive". Search for it yourself, and click the first result.

Go back and click "cached".

That was a cool experience.

this is great whats the stack / architecture you built this with? Would love some insights.

I often find myself searching HN for opinions on different technologies over time and this will be invaluable for that use case.

Very cool! How frequently does it index the HN content? I've just tried searching for DevComrade which I submitted 14hrs ago and nothing shows up.
What is the criteria for an article getting into the index? To test it out I tried several of my submissions and could only find one in the index.
It's fast and light weight! What stack are you using?

My only wish is that it should be possible to sort chronologically.

awesome! would be great to have a submissiondate/votes/num comments/link to the hn submission in the results!
I wrote something similar to this a year ago (though shabby looking by comparison!): -

http://kakapo.susa.net:8080/cfs/

I abandoned it when Google deprecated the WebRequest API, but the code's still available on GitLab. https://gitlab.com/ksangeelee/cfs_build

It allows article score and uBlock Origin 'hits' as search criteria.

So many articles found that are gone from the original sites, but still readable from the cached version, that's pretty useful!
I would love to see the source and/or a write up about the stack used here. I've thought about making something similar, but got distracted while in the planning phase.
This is fantastic. Way better than the Algolia search which seems to be the most "official" one. I love that you cached the article content too.
Love it, love it! Thank you.

Is it possible to give a little inside peek of the techniques, algorithms and tech stack etc. you have used?