Revisiting 2011 in 365 HN stories
rrrewind.com
rrrewind.com
javascript:function hn_bc(r){if(r.hits>0){window.location=%22http://news.ycombinator.com/item?id=%22+r.results[0].item.id;}else{if(confirm(%22This URL is not yet added to Hacker News. Would you like to submit it?%22)){window.location=%22http://news.ycombinator.com/submitlink?u=%22+encodeURIComponent(document.location)+%22&t=%22+encodeURIComponent(document.title);}}}hn_b=document.createElement(%22script%22);hn_b.setAttribute(%22src%22, %22http://api.thriftdb.com/api.hnsearch.com/items/_search?callback=hn_bc&filter[fields][url][]=%22+escape(document.location));document.getElementsByTagName(%22head%22)[0].appendChild(hn_b);
It submits the article to HN, but if it's already been submitted, it redirects you to the relevant discussion.Nothing stands out. Google gets 26 hits, YC gets 14, Apple gets 13 (between 'apple' and 'apples'), HN gets 10.
I am moderately surprised that github (9) gets more hits than facebook or twitter (7).
The other surprising one was __, but that turns out to be three hits in one title after stripping punctuation. (http://adamcecc.blogspot.com/2011/01/javascript.html)
15 : yc
12 : apple
10 : hn
9 : github
9 : twitter
8 : hacker
8 : jobs
8 : news
7 : steve
7 : facebook
6 : amazon
6 : gmail
6 : developers
6 : startup
5 : sopa
4 : tracking
4 : launches
I created a better one (based on pg's essay) a while back: http://www.tagxedo.com/shop/y-combinator
earlyriser: would you mind sharing what is the logic when deciding which article is "the most" popular? is it a simple time snapshot or something more intricate? have you considered using Instapaper API?
I'm collecting more infos that what is available at this moment, but I need to find time to implement it. In which way are you suggesting Instapaper? Do they have something like the most popular? I quickly checked their API but I couldn't not find anything for rrrewind.
Here is my rumble: I'm thinking about an algorithm that would work like singnal-to-noise ratio detector. This requires a lot download bandwidth. It means counting how fast people like, +1, or any other on the internet (techcrunch, etc). Simply, replicating similar logic that HN uses for moving articles from newest page to the front page just for the top 10-20 most popular tech websites (techcrunch, gizmodo, etc). Then you add nice readability features (e.g., Instapaper) and you have a business. I might have a prototype next year but it seems that you have infrastructure that sets you ahead.
I'm happy with this project, it gives me the content I missed and I get in contact with interesting people.
Every night rrrewind takes a snapshot of the top stories on HN. This 2011 recap is taking the top story from each day.
Good work :)