Launch Day at our Start-Up: Feedscrub

http://blog.feedscrub.com/2009/01/15/launching-our-start-up-feedscrub/

by ardell • 18 years ago

25 15 18 years ago

blog.feedscrub.com

pclark2• 18 years ago

no word on how many paid accounts. Seems expensive for what it is.

ardell5• 18 years ago

Hey pclark, Feedscrub co-founder here. We're still waiting to see what our conversion numbers will look like. I imagine it'll take users a few days to train the filter and see how it works with their feeds. We're thrilled to have so many new trial users already!

PStamatiou2• 18 years ago

hey jason - havent replied to your email yet but.. you guys going to ATL Tweetup tonight? I think it's in highlands. there's a page on facebook

utnick• 18 years ago

how much do accounts cost?

Couldn't find the pricing page on their website...

ardell5• 18 years ago

$5/mo for unlimited feeds for a limited time.

Trial accounts limited to 3 feeds to help scale for the launch. Very soon we'll be releasing a way for users to earn more free feeds.

Maro• 18 years ago

"It filters out the posts that are least interesting to you and leaves only the stuff that is relevant."

How well does this service work in practice? I imagine telling spam and non-spam emails apart is far easier then "predicting" which blog post I will like.

ardell5• 18 years ago

Hi Maro, I invite you to try it out yourself. I've released 500 "hackernews" invites so everyone can give it a try.

You're right, it's a lot easier to filter out spam emails with the word "V1AGRA" than it is to filter out news posts. You'll want to take some time to train the filter properly before you unsubscribe from your junk feed.

Prrometheus2• 18 years ago

Is there anything fancier than a naive Bayes classifier going on?

Do you do any calculus on the relative values of false positives and false negatives? It seems that a person with a large number of feeds would put a greater importance on limiting the number of false positives (non-interesting messages classified as interesting by your program), whereas a person with a small number of feeds would be more worried about false negatives (interesting stories classified as uninteresting).

Also, see this comment in this thread: http://news.ycombinator.com/item?id=435837 . For something like this, I doubt a machine learning algorithm will work as well as social algorithms. Web search is a very similar problem (find the most interesting link given input from the user) and social algorithms won out. Of course, the kind and quality of input that you are getting from the user is different. However, your problem is much less well-defined (finding interesting things in general instead of interesting things related to a particular topic).

soundsop• 18 years ago

I think it's an interesting idea. I track about 200 feeds, but probably look at only a small percentage of the stories. I definitely would appreciate help in blocking out the least interesting stories.

That said, limiting the free account to only 3 feeds makes it difficult to judge the site's usefulness. I guess that I would probably want to try the site out with at least 50 feeds to see if I wanted to pay for the ability to track even more feeds.

Consider that it may be more valuable to give out fewer invitations but raise with numbers of free feeds per user.

pclark2• 18 years ago

if you use google reader you can attain this with the postrank plugin in firefox.

timdorr• 18 years ago

PostRank isn't personalized, which is the big difference with Feedscrub. FS gives you unique results depending on what you like, not just based on how much people are talking about something.

ardell5• 18 years ago

Good thoughts, thanks soundsop.

Out of curiosity how many feeds do others subscribe to?

This post (http://news.ycombinator.com/item?id=248623) suggest you, soundsop, might be on the high end for HN readers--that's a _good thing_, you're our target market. Are there a handful of feeds that have the lowest signal-to-noise ratio? Maybe Feedscrub could help you with those in particular?

PStamatiou2• 18 years ago

just some unrelated feedback about how i have been dealing with this feed information overload issue for now: i use feedly which utilizes among other things google reader friends.. so pretty much i rely on hundreds of other people to decide for me what is interesting and i check the stories they upvote/recommend/share

Launch Day at our Start-Up: Feedscrub

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