timhastings

5 ms·

1. 1.▲
   by timhastings 15y ago

   Well done NASA! This sounds like the same futuristic material coating the super-fast spaceship that Zaphod and Ford Prefect were admiring outside Milliways in Hitch Hiker's Guide to the Galaxy.
2. 2.▲
   How to Explain Virtualization to Your Friends(readwriteweb.com)

   1 points by timhastings 15y ago|0 comments
3. 3.▲
   by timhastings 16y ago

   I would imagine Microsoft would find Mono a very useful Novell asset to get control of.
4. 4.▲
   by timhastings 16y ago

   Thanks!
5. 5.▲
   by timhastings 16y ago

   There are a lot of moving parts, but these are separate sub-systems with well defined boundaries of interaction. Each sub-system is implemented using technologies selected for specific characteristics. Mono for long-running and complex back
6. 6.▲
   by timhastings 16y ago

   I'm cooking up a Twitter Recommendation Engine for users, hashtags, and links etc. For example: http://tagwalk.com/tag/MySQL
7. 7.▲
   by timhastings 16y ago

   I am using the LNNMMMMP stack at the moment... Linux, nginx, node.js, memcached, MySQL, Mono, MongoDB and PHP. Am I normal?
8. 8.▲
   by timhastings 16y ago

   You have got to admire the evil villany we're up against. Buying the 'M' in LAMP and then exploiting that position. Business first, not the heart and minds of developers. Luckily the 'L' + 'A' + 'P' cannot be bought. LAPP stack anyone?
9. 9.▲
   by timhastings 16y ago

   I love that you conducted A/B testing with different user profiles. That makes you more attractive to geeks :-)
10. 10.▲
    Experimental Foursquare Recommendations(blog.tagwalk.com)

    1 points by timhastings 16y ago|0 comments
11. 11.▲
    by timhastings 16y ago

    Nice one, thanks, and good luck with Firetweets! There is tons of job tweets, but most have "job" in the username and/or app source. Also any app source that contains "bot" or "feed" is most likely safe to ignore.
12. 12.▲
    by timhastings 16y ago

    It's many pronged approach. User timelines are loaded for "reputable" users, (see blog for computing reputation) and search input is used with primative bayesian filtering. In my experience, I have found Tweet source (web, Tweetdeck, API et
13. 13.▲
    by timhastings 16y ago

    Cool, thanks for the link. Sorry if the colour scheme made your eyes bleed - I'm still experimenting with that. :-)
14. 14.▲
    by timhastings 16y ago

    Thank you. It already works for any hashtags or usernames that it encounters, here's #sundaybaconclub http://tagwalk.com/tag/sundaybaconclub
15. 15.▲
    by timhastings 16y ago

    Here's a similar link collecting service I've been developing, e.g. for #nodejs http://tagwalk.com/tag/nodejs
16. 16.▲
    by timhastings 16y ago

    Does this means our Big Bang generation will be mocked like the Earth-is-flat believers?
17. 17.▲
    by timhastings 16y ago

    I agree. Really useful. Picking just the timezones you are interested in would make it perfect for the job. Great work!
18. 18.▲
    by timhastings 16y ago

    Here's a prototype of my iPad killer! http://twitpic.com/1fb2ox
19. 19.▲
    Twitter User Reputation Computed from Tweets(blog.tagwalk.com)

    1 points by timhastings 17y ago|0 comments