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Michael Mahemoff
Software as She's Developed



Automatic Digging…

Imagine this:

Touchstone is a Personal Relevancy Engine. This means it can automatically calculate which Digg stories are the most ‘Personally Relevant’ to you.

Therefore it is conceptually possible for someone to write a Touchstone ‘Output Adapter’ that:

  1. Checked incoming Touchstone items to see if they came from the Digg RSS feed.
  2. If they came from Digg and they are rated, by Touchstone, as very personally relevant to you, the adapter could execute the ‘Digg’ command for that story on your behalf.

This way, Touchstone could automatically Digg stories for you.

Automatic Digging…

Update: I’m not sure if this is useful or even appropriate for Digg - it was just an idea that struck me - if nothing else it is an interesting application of Touchstone Technology. Feel free to comment to let me know your thoughts.

If you are interested in creating this adapter, contact me and I can get you started.

If you want to know when the adapter has been made so you can try it out, sign up to our mailing list (on the left hand side of the page) and we’ll let you know when it’s done. No spam I promise - I hate spam.

4 Responses to “Automatic Digging…”

  1. Dan Says:

    I don’t think that automated digging would be helful to digg.com. The point is to read the articles and then digg them if it is interesting. If it’s dugg by software and no one ever really read the article, then its just google news.

  2. tekrat Says:

    Instead of creating a backdoor to digg, why not create another service like digg?

  3. Chris Says:

    Hi Dan,

    I don’t know if it would be helpful to Digg.com itself either. Would probably dampen their page views!

    But in the end it would be far different from Google news - Users would still submit the stories and the best ones would still get on the home page - it would just be a bit of automation from some users.

    Tekrat - That’s possible too I guess. Let me know if you want to make one I’m happy to provide the tools!

  4. Anonymous Says:

    But only for Windows users, huh?

    Lame. Buried :o

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This is a blog about using Attention Data to help users filter the noise and experience a personally relevant Internet. It is written by the two founders of Faraday Media - the creators of Particls and co-authors of APML.


Ashley Angell: Co-Founder/CTO: Entrepreneur, Code Guru and TV Addict

Chris Saad: Co-Founder/CEO: Entrepreneur, Media Junkie and Attention Ninja

Paul Jones: Chief Architect: Problem Solver, Abstraction Genius and Code Monkey