The last months we’ve seen myFeedz, Touchstone and Attensa trying to solve Information Overload. The keyword with these services is Attention and next in line is Wizag. Wizag is an online feedreader that incorporates attention data and semantic a…

After clicking home i get “Runtime Error”…

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Findory learns from the articles each reader clicks on and recommends other articles. Findory also has a personalized feed reader that recommends stories selected from your favorite feeds (import OMPL or pick the feeds on Findory).

Findory has been around for three years. It has 100k+ unique visitors per month and 5M+ page views per month. How about giving it a little love?

WizAg is the new name for Diggol…since my earlier post there have been lots of changes.
Firstly WizAg can now be a replacement for your traditional RSS Reader, as you can now have a subscription list and read content by feed.
You can also mark…

Reading from the FAQ, I see it seeks to solve almost the same problem as onelurv. The approach can’t be more different though.

I have doubts about how it’d fare as a personal feed reader, as Mashall has pointed out. From the looks of it, it’s strength is very much in discovery.

I will give them credit though. They have a potentially viable business model: “US and International Patents Pending”. Hopefully the patent settlements and licensing will pay for the salaries of the 12 employees who do god knows what.

In our case, the UI is ugly, which Marshall had pointed out to us when he was writing it and explicitly pointed it out in his post, but our automatic Topic Discovery Engine, which is our main feature, is solid, and we believe is the best out there.

Our main motivation is to help users find out quickly what is happening and quickly get to what they are interested in. If you subscribe to a lot of feeds, there will be hundreds of posts per day and it will be very difficult for you to read them all. If you subscribe to tens or hundreds of feeds, you know what I am talking about. The Topic Discovery Engine discovers the topics that match a user’s attention data and sort the posts into the topics.

For example, the topics that are discovered today include “fidel castro”, “minimum wage”, “google talk”, “british prime minister tony blair”, etc. These topics are more informative and objective than tags.

We are covered by TechCrunch today. Marshall had pointed out to us that the UI was ugly. Except the topic discovery part which is at beta level, the UI, opml uploading etc are still at alpha stage. We will get a graphic designer to re-do the UI soon. W…

We are covered by TechCrunch today. Marshall had pointed  out to us that the UI was ugly.  Except the topic discovery part which is at beta level, the UI, opml uploading etc are still at alpha stage.  We will get a graphic designer to re-do the UI s…