• Home

CodingExperiments.com

$ sudo make money

Search

Category:

  • Apple Inc.
  • Facts
  • Fun
  • Google
  • Google Android
  • Ideas
  • Internet
  • Linux
  • Microsoft
  • Programming
  • Rants
  • Security
  • Uncategorized
  • web 2.0

Archives:

  • April 2010
  • August 2009
  • July 2009
  • June 2009
  • May 2009
  • April 2009
  • March 2009
  • February 2009
  • January 2009
  • December 2008
  • November 2008
  • October 2008
  • September 2008
  • August 2008
  • July 2008
  • June 2008
  • May 2008
  • April 2008
  • March 2008
  • February 2008
  • January 2008
  • December 2007

Pages

  • About
  • About
    • The Authors
  • Commenting your code
  • How to Write Papers with Groff
  • ModCMS Anti-Spam Component Set
  • ModCMS Technical Specifications
  • Regular Expressions Guessing Game
  • Saving code directly to a web server
  • The (Almost) Perfect PHP 404 Page

Meta:

  • RSS
  • Comments RSS

Awesomeness tracker

CodingExperiments at Blogged View blog authority
Free Page Rank Tool

NoiseRiver: the Friendfeed App That's Your New Bicycle.

June 28th, 2008 by Rishabh Mishra

I’m a fan of FriendFeed. FriendFeed, to me, is total awesomeness. At the time of this writing, I’ve written fifteen posts on FriendFeed (including this one). Robert Scoble loves FriendFeed too. But now, I love FriendFeed even more. Why? Because it’s possible to create truly excellent applications with the FriendFeed API.

The FriendFeed API is far from perfect, but what’s making me love it is NoiseRiver. So, who is behind this masterpiece of an API application? directeur on FriendFeed is responsible for this masterpiece of an API application.

So, what do I like about it? First off, the user interface is excellent. It takes the simplicity of FriendFeed’s user interface and entwines it with an elegance that is so hard to achieve when building a good user interface. Click on the below thumbnail to see the screenshot full-size.

Now, it does more than serve up a pretty user interface. It actually solves some of FriendFeed’s most basic problems. What does it solve?

Well, several people have talked how noisy FriendFeed users can drown out the posts of less-frequent FriendFeed users. Now, if you like the posts of the noisy and quiet FriendFeed users, you’re at a bit of a disadvantage. It’s more difficult to hear the quiet FriendFeed users, and there may be some cases when you’re more interested in what the quiet users have to say.

NoiseRiver to the rescue! It allows you to select which users you like more than others.

Okay, but the noisy FriendFeed users might also talk about topics that you aren’t interested in or don’t like at all. What do you do about that?

No problem. NoiseRiver solves this problem by allowing you to insert keywords and rate those too.

Now, I might really like NoiseRiver, but you are annoyed with something in NoiseRiver’s user interface. What do you do?

Wel, there’s the NoiseRiver FriendFeed room where you can post suggestions, and a lot of the suggestions are acted upon immediately.

In conclusion, NoiseRiver is a top-notch web application that has a great user interface and solves some of FriendFeed’s problems.

For some additional reading, you can check out Louis Gray’s coverage of NoiseRiver.

UPDATE: Apparently some people think that NoiseRiver actually has a chance of being acquired.


Posted in Apps, Internet, Uncategorized | View Comments

  • plightbo
    NoiseRiver is definitely on the right track. I just left a comment at Karim's blog, but I wanted to also share my take on how to cut through the noise: http://mionews.com. It's also based on FriendFeed, but the UI is very different. It takes a reader-style UI approach and introduces a couple of additional concepts:

    * You can "hate" articles. This is instead of "hating" topics. In the background, we auto-tag articles and therefore automatically adjust the scores for various topics for you.
    * You can't adjust the like/hate score for individual topics, but you can track topics and see which stories match those topics.
    * Unrelated to the relevance ranking, there are some different UI things going on compared to FF and NR. Grouping friends in to folders may turn out to be a good way to keep track of close friends despite other noise-makers (ie: Scoble).

    It'll be interesting to compare the output of the two different relevance techniques as time goes on.
  • Rishabh Mishra
    mionews.com actually looks pretty interesting. I'll put it on my list of posts that I may get to in the future.
  • directeur
    Hum... this is a little bit unfair. Everyone seems to be able to write *better* blog posts than me :)

    Seriously, thank you so much for the review of NoiseRiver, I really appreciate all your nice words about it. Actually like said in the home page, this app is still alpha an to be franc, I made it in about a week. Lots of things are to add/fix/invent... It was a real joy for me to develop it, and as you said, I wish the API was "larger"... but, heh, like french people say: "On fait ce qu'on peut avec ce qu'on a " (we do what we can with what he have" :)

    Again thanks for the review and the link to the room on FriendFeed. Any suggestion, critic, error reporting or rant is really welcome :)

    P.S. I'm one of your reader, btw, so keep up the good work! I enjoy it :)
blog comments powered by Disqus

 
Wordpress Themes by and Website Templates by Blogcut Blogged Blog Directory Blog Directory - Blogged