MiniGladys is a slimmed-down version of MegaGladys. It's designed for looking up quick facts, exploring public interest in topics on Wikipedia, generating RSS feeds, and exploring associated topics.


Start by entering the Wikipedia page you want to review. The form will autocomplete so don't worry about getting the page name exactly right.

Enter a Wikipedia article topic

Wikipedia Article

Select an article from the search to view content...

Gossip Machine uses Wikipedia pageview data to find dates a topic got an unusually high amount of views, which means increased public interest, which usually means something happened. Gossip Machine then turns those dates into Google searches. Choose a preset date range and click the button. You'll get a list of dates and links to date-specific Google searches. The days with the highest view spikes are listed first. Please note that the lower the average pageviews, the more chance there is of wonkiness. 4000 average pageviews will give you decent results. 311 average pageviews probably won't.

Generate keyword-based RSS feeds based on your topic from a variety of sources. You can add to or change the initial topic keywords in the query box. Then tick the checkbox of the resource you want and get ready-to-use RSS feed URLs.

Query you want to monitor:

Don't use special syntax unless you limit your RSS feeds to sources which support them.

RSS Feeds Available

Tick a box and the URL for an RSS feed will appear. When you're ready to make RSS feeds for a different query, hit the reset button.

Find related topics using Wikipedia's network of connections. This tool searches for Wikipedia pages that mention your topic multiple times, then creates focused Google and Google News searches combining your original topic with these related concepts. The more mentions required, the stronger the connection to your topic.

Current Topic:

Select a Wikipedia article first
Start with 2-3 for specific topics, 10+ for common topics