Hacker News Reader

Comment by adrianwaj | Hacker News Reader

I had an idea, which could fit in with a future phase of this app. Grabbing links from twitter lists and reposting with page title, link, and underlying tweet. It's about surfacing what's hot in certain user circles, for example, you might find twitter lists concerning the topics already displayed on Firetweets. The final display might end up somthing like: http://hackerbra.in/links -- some lists of interest http://twitter.com/tlrobinson/hackernews http://twitter.com/DHS/hacker-news.

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That's an interesting idea. Somewhere on my hard drive lingers an app that grabs all the links from your Twitter timeline and is supposed to send you a daily digest. I hadn't thought of including the tweet itself, but it can't hurt to have some context and hadn't thought of using lists either. Before thinking about phase two, I'd like to grow the site a little bit, but I will certainly keep this in mind. Thanks for the suggestion :)

Good for you. Check out http://help.tweetmeme.com/2009/04/07/api-documentation/ as well.

Also, check out this idea: http://news.ycombinator.com/item?id=1556280 -- might be a new app for you to do..

I wasn't aware that Tweetmeme has an API. Might be really handy! Thanks :)

If you end up with @usernames - consider linking to my site http://twitya.com/#username

Here's a similar link collecting service I've been developing, e.g. for #nodejs http://tagwalk.com/tag/nodejs

Nice, didn't know about it. The black background, small writing and grey text kills me. But I've got a new link on Twitya for any username to tagwalk. Thanks.

Cool, thanks for the link. Sorry if the colour scheme made your eyes bleed - I'm still experimenting with that. :-)

That's really interesting. I started firetweets by tracking only node.js links. I really like the data driven approach you've taken. Do you plan on expanding to other topics?

edit: You already do track other topics. That's really cool!

Thank you.

It already works for any hashtags or usernames that it encounters, here's #sundaybaconclub http://tagwalk.com/tag/sundaybaconclub

I'm impressed. From what I've read on your blog, you have gathered a massive amount of data. How do you fight spam?

It's many pronged approach. User timelines are loaded for "reputable" users, (see blog for computing reputation) and search input is used with primative bayesian filtering.

In my experience, I have found Tweet source (web, Tweetdeck, API etc.) to be one of the most effective quality/authenticity indicators.

Using the tweet source is such a smart idea! So far I rely on username filtering / patterns. Toughest is to get rid of job postings ! Good luck with Tagwalk ! You've got a new user ;)

Nice one, thanks, and good luck with Firetweets!

There is tons of job tweets, but most have "job" in the username and/or app source. Also any app source that contains "bot" or "feed" is most likely safe to ignore.

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