I scraped Honey's affiliate database and now sharing the analysis

This was more of a sandbox to play with Raphael and Flot than anything else but I think there are some interesting statistics in there. It'd be awesome to do this over time but I really don't have the spare time required.

Magnet link: magnet:?xt=urn:btih:44c65b5779d9d8021e002584fa73740f36d052a6&dn=10m_hn_comments_sorted Go to https://hn-archive.appspot.com/ for the torrent file / source code. I'll be semi-frequently checking the story and answering any questions which may come up.

Everything that would be here is in the README. I hope this gets big, it has tons of potential.

Hey HN, I'm a longtime reader and this is my first Show HN (exciting!) It's a collaboration between me and two friends, and we're building this upon another app we made called EmailYak, an API to receive email. We're trying something new and releasing the documentation to an app while we're still building it. We'd love feedback. Do you belong to any of these categories? 1) You've built an app with two distinct groups of users (say, people with cars and those looking for a ride) and they were able to communicate with each other. Did you expose personal email addresses? Did you send…

I recently finished the Front-End Web Development program at General Assembly in San Francisco. My final project turned out being a quick, easy, and free way to convert a Tweet into various properly formatted citations. Inspired by a Hacker News post a few months back: https://news.ycombinator.com/item?id=3751295

A little while ago I built an automated website that finds free stuff while filtering out scams. It works in an interesting way. Most freebie sites on the web contain a mix of real, useful free stuff and scammy affiliate and pyramid schemes. I realized that affiliate links are always unique (because they need to contain an affiliate code) while real freebies have URLs that co-occur across multiple sites at roughly the same time. I wrote a crawler in Perl and MySQL that looks for repeating, off-domain URLs that temporally cluster on multiple free stuff sites. I was surprised and pleased to…