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Comment by matznerd | Hacker News Reader

Who is working on a pipes replacement and where can I sign-up? Maybe this will be like when google killed Reader and RSS replacements became a hot area...

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Huginn fits a lot of Pipes' usecases: https://github.com/cantino/huginn

I was looking into doing a Pipes 2.0 sort of project. If you live in the bay area i'd love to get coffee and chat about it. There are a number of the pieces to pipes that are opensource, but none of them are strung together.

I also thought that pipes queries were amazing, but slow, so it was hard to use them as part of an application.

I'm too far away for coffee, but my email address is in my profile.

    Who is working on a pipes replacement

I'm curious if anyone has suggestions about solving a piece of that:

What would be the best toolset to recreate the Pipes UI?

It's pretty slick, and I could see the underlying UI being useful for modeling a variety of things...

Shameless relevant plug: http://www.feedsapi.com might be an option, it'sit's not exactly a replacementbfor pipes but it does a lot of what pipes did and is a work in progress

Have you tried IFTTT? Not sure what your usecase is, but that might do the job.

IFTTT doesn't let me basically reformat an RSS feed and then see it in my RSS reader. Most/all of my use of pipes was "go scrape this thing and turn it into RSS, filtering out stuff I don't want to see."

It was great for that - I'm unaware of anything that is even trying to replace it.

I've used this beforem but it's been a while http://createfeed.fivefilters.org/

THIS is exactly what http://www.feedsapi.com does, it's a paid service with a 2 weeks free trial.

We're working on something that covers a lot of the same ground, although it's not exactly the same thing. It's also not very polished right now, but we definitely hope to get to that level eventually. It's all open source, Apache Licensed, and built using Grails. We don't have YQL, but we extract entities from the content and store it in a triplestore that can be queried using SPARQL, and eventually the SPARQL support will be woven more completely through things.

https://github.com/fogbeam/Neddick

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