Hands down the best RSS reader I've used. It's fast, tiny, built extremely well, and has no flab. It sits in a certain class of application along with Alfred and a handful of others in being a standout example of craftsmanship that's reminiscent of the golden era of OS X. More apps should strive for this standard.
I wish it had a more accessible scripting API - I use it locally, and back up saved stories, but I have to directly hit their sqlite database to extract data out of it :/
I love it too, but I would still like some concept of folders, so that I could sort my feeds into eg. programming, design, hobbies, and then have a feed to match the mood.
First RSS client I ever used. First for which I bought a license. Reeder client seduced me away while NNW was in limbo while Brent Simmons (creator) wasn't working on it directly. Glad he's back at the helm. I never unsubscribed from his blog.
I'm staying away from macOS Tahoe for now. NetNewsWire has already announced that they will no longer support the earlier 6.x release that I use. I assume that means no bug fixes or back-porting of new features. Sad.
They update a little too slow for my taste. But, well… that’s the cost for high-quality free software: waiting. I’m happy to pay said cost, and continue to recommend it to friends and family where I can.
I love NNW, especially the new iteration since Brent got it back. Mac-assed software at its best.
The other day I was searching for how to turn a youtube channel into an RSS feed and tried all sorts of convoluted instructions for finding channel IDs, etc. At some point I thought this is the kind of user-centric thing that NNW has probably already thought of, and sure enough, if you just paste in a youtube channel URL as the feed, NNW sorts it out and creates a feed for you.
I started out with NNW and am back on it now. After Google killed Reader I went to Feedly, then tried a few self-hosted solutions and, in the end, NNW is just the easiest solution for me since I'm in the Apple ecosystem.
I was on Google Reader, then Feedly for a long time, until the Feedly iOS client just slowly degraded and got buggy. I'm not opposed to paying for a good RSS set.
I finally switched to NetNewsWire as the front end and FreshRSS on the backend, and could not be happier. NNW being free is just the icing on the cake, it's really great, and FreshRSS was also really easy to install.
What I like about FreshRSS is that it's PHP and will install on any old shared hosting plan and uses Sqlite as the database, super easy.
Yea, as I bought Reeder a long time ago on iOS and got used to it. They all support Google Reader / Fever API so it all works great and I can use Miniflux web interface to read when I don’t have an app installed.
The biggest problem with newsreaders, IME, has been managing large numbers of feeds. Most user time is spent handling redundant stories - e.g., if you have feeds from many major news sources, for each major event you get one or more stories on each feed, saying mostly the same things.
I haven't seen a newsreader solve that problem. Has anyone tried an LLM?
The best solution I know is grouping redundant stories together, possibly hierarchically: e.g., Sports > Olympics > Figure skating > Jones performance. (Fewer feeds require fewer levels, possibly just one.)
That ~ deduplicates the stories and, by displaying them together, you can compare and choose the coverage you like and delete the rest. Otherwise, IME most user time is spent sorting through redundant stories one at a time.
But as I said, I haven't seen a newsreader do that well. It seems like a good fit for LLMs. Or maybe there's another solution besides grouping?
My YOShInOn RSS reader uses an SBERT model for classification (will I upvote this or not?) and large-scale clustering (20 k-means clusters and show me the top N in each cluster so I get a diversity of different articles.)
and found some parameters where I get almost no false positives but a lot of duplicates get missed when I lowered the threshold to make clusters I started getting false positives fast. I don't find duplicates are a big problem in my system with the 110 feeds I have and the subjects I am interested in, but insofar as they are a problem there tend to be structured relationships between articles: that is, site A syndicates articles from site B but for some reason articles from site A usually get selected and site B articles don't. An article from Site A often links to one or more articles, often that I don't have a feed for, and it would be nice if the system looked at the whole constellation. Stuff like that.
Effective clustering is the really interesting technology Google News has had for a long time.
I have been attempting this exact sort of clustering solution for a few years now (on and off as a side project). Do you have source code available, or more detailed explanations/resources of how to approach this?
Edit: I just looked around for your YOShInOn RSS reader code and couldn't find it. I did find a number of references it looks like you've made to it on various forums, etc over the years.
You specify your interests as free form text, it ranks articles by how closely they match, and you can consume your Scour feed as an RSS feed to read it in NNW.
Not to take away from NetNewsWires accomplishments, but getting it was such a disappointment. Adding insult to injury, I had to pay to get the app on my iPad. It was one of the few apps I paid for and all I got was a deep sense of wasted money.
Since the demise of Byline, I’ve been rocking Inoreader and have had no reason to look back.
All I miss is Google Reader, but that’s never coming back.
The only new thing I want in an RSS reader is a handsfree, voice only mode. Being able to listen to RSS articles and navigating by voice commands.
Disclaimer: I authored the extension but like most Raycast extensions, it’s open-source[2].
[0]: https://raycast.com [1]: https://raycast.com/xmok/netnewswire [2]: https://github.com/raycast/extensions/tree/main/extensions/n...
The other day I was searching for how to turn a youtube channel into an RSS feed and tried all sorts of convoluted instructions for finding channel IDs, etc. At some point I thought this is the kind of user-centric thing that NNW has probably already thought of, and sure enough, if you just paste in a youtube channel URL as the feed, NNW sorts it out and creates a feed for you.
While I don't doubt that NNW has great UX, feed auto-discovery is a table stakes feature for any RSS client.
I finally switched to NetNewsWire as the front end and FreshRSS on the backend, and could not be happier. NNW being free is just the icing on the cake, it's really great, and FreshRSS was also really easy to install.
What I like about FreshRSS is that it's PHP and will install on any old shared hosting plan and uses Sqlite as the database, super easy.
I think NetNewsWire is a great example of what software should strive for: a useful set of features, while being fast and smooth.
Every time I open the app I feel like I'm back in the era of Mac OS X Snow Leopard and Steve Jobs is about to reveal one more thing.
Ohhh, in NNW it goes via the FreshRSS. I had no idea, cheers. I've been using just iCloud sync fairly successfully.
We need more software that is free, open source and comes with no subscriptions.
I haven't seen a newsreader solve that problem. Has anyone tried an LLM?
The best solution I know is grouping redundant stories together, possibly hierarchically: e.g., Sports > Olympics > Figure skating > Jones performance. (Fewer feeds require fewer levels, possibly just one.)
That ~ deduplicates the stories and, by displaying them together, you can compare and choose the coverage you like and delete the rest. Otherwise, IME most user time is spent sorting through redundant stories one at a time.
But as I said, I haven't seen a newsreader do that well. It seems like a good fit for LLMs. Or maybe there's another solution besides grouping?
For duplicate detection I am using DBSCAN
https://scikit-learn.org/stable/modules/generated/sklearn.cl...
and found some parameters where I get almost no false positives but a lot of duplicates get missed when I lowered the threshold to make clusters I started getting false positives fast. I don't find duplicates are a big problem in my system with the 110 feeds I have and the subjects I am interested in, but insofar as they are a problem there tend to be structured relationships between articles: that is, site A syndicates articles from site B but for some reason articles from site A usually get selected and site B articles don't. An article from Site A often links to one or more articles, often that I don't have a feed for, and it would be nice if the system looked at the whole constellation. Stuff like that.
Effective clustering is the really interesting technology Google News has had for a long time.
Edit: I just looked around for your YOShInOn RSS reader code and couldn't find it. I did find a number of references it looks like you've made to it on various forums, etc over the years.
You mean the k-means for diversity or DBSCAN for duplicates? Either way it is about 10 lines of scikit-learn code. Send me an email.
Nuzzle did something similar for Twitter but shut down (https://daringfireball.net/linked/2021/05/05/nuzzel).
That would be a good addition to feed readers, especially for news feeds.
You specify your interests as free form text, it ranks articles by how closely they match, and you can consume your Scour feed as an RSS feed to read it in NNW.
Disclaimer: I’m the developer
[0]: https://usetapestry.com/
Since the demise of Byline, I’ve been rocking Inoreader and have had no reason to look back.
All I miss is Google Reader, but that’s never coming back.
The only new thing I want in an RSS reader is a handsfree, voice only mode. Being able to listen to RSS articles and navigating by voice commands.
https://netnewswire.com/
So you paid $10 and helped support indie developers launch what, in time, evolved into an almost universally beloved app.
That should feel pretty good. Your tiny investment helped create something great!
[1] https://mjtsai.com/blog/2010/04/13/netnewswire-for-ipad/