The prize package for the Common Crawl Code Contest now includes three Nexus 7 tablets thanks to TalentBin!
The prize packages for the contest are now:
- $1000 in cash
- $500 in AWS credit
- O'Reilly Data Science Starter Kit
- Nexus 7 tablet
- Bag of awesome swag
- A 1 in 3 chance of winning an all access pass to Strata + Hadoop World
We are excited to add the Nexus 7 tablets to the prize packages and very excited to be working with TalentBin. TalentBin makes an open web people search engine by scooping up all the interesting professional activities that folks engage in all across the web, interpreting that activity, and then mashing it up into composite professional profiles. And yup, you're right, that's a lot of unstructured data to make sense of.
But if you think about what you look like as a distilled mashup of all your professionally relevant activity on Twitter, Facebook, Meetup, Github, Stackoverflow, Quora, US patent database, etc. etc., you quickly realize that it's a much richer, and more accurate picture than the few lines of stuff on your LinkedIn profile. Kinda like this: http://youtu.be/Jvjpj88f-LU
Currently it is really popular with recruiting organizations trying to find the kind of folks who have really sparse LinkedIn profiles, or aren't even on LinkedIn. If you are looking to hire (and who isn't?) you should definitely check out TalentBin and follow them on Twitter.
If you haven't participated in the Common Crawl Code Contest yet, now you have all the more reason to do so! The Nexus 7 tablet is fantastic. I have one and I love it. Play around with the Common Crawl data on AWS, getting coding and build something cool to win one of these great prize packages!
Erratum:
Content is truncated
Some archived content is truncated due to fetch size limits imposed during crawling. This is necessary to handle infinite or exceptionally large data streams (e.g., radio streams). Prior to March 2025 (CC-MAIN-2025-13), the truncation threshold was 1 MiB. From the March 2025 crawl onwards, this limit has been increased to 5 MiB.
For more details, see our truncation analysis notebook.