WolframAlpha

monkaaay hearts this website and always things of funny things to search! Try your name, your birthdate, a movie, a person, a math formula (Emily B), ANYTHING, JUST TRY IT!

Wolfram Alpha is an answer engine developed by Wolfram Research. It is an online service that answers factual queries directly by computing the answer from structured data, rather than providing a list of documents or web pages that might contain the answer as a search engine might. It was announced in March 2009 by Stephen Wolfram, and was released to the public on May 15, 2009.

Users submit queries and computation requests via a text field. Wolfram Alpha then computes and infers answers and relevant visualizations from a core knowledge base of curated, structured data. Alpha thus differs from semantic search engines, which index a large number of answers and then try to match the question to one. In this way it has many parallels with Cyc, a project aimed since the 1980s at developing a common-sense inference engine.

Wolfram Alpha is built on Wolfram's earlier flagship product, Mathematica, which encompasses computer algebra, symbolic and numerical computation, visualization, and statistics capabilities. With Mathematica running in the background, it is suited to answer mathematical questions. The answer usually presents a human-readable solution.

However, Wolfram Alpha is also capable of responding to natural-language fact-based questions such as "Where was Mary Robinson born?" or more complex questions such as "How old was Queen Elizabeth II in 1974?" It displays its "Input interpretation" of such a question, using standardized phrases. E.g., "Mary Robinson | place of birth" or "age | of Queen Elizabeth II (royalty) | in 1974". It is also capable of performing calculations on data using more than one source. For example, "What is the forty-eighth smallest country by GDP per capita?" yields Pakistan, $696.59 per year .

The database currently includes hundreds of datasets, including All Current and Historical Weather. The datasets have been accumulated over approximately two years, and will continue to grow. The range of questions that can be answered will grow with the expansion of the datasets.

From Wikipedia.

Some queries to try: (they are easter eggs click to learn more about easter eggs)

Hello world.

Where am I?

Who are you?

Where you are?

Where in the world is Carmen SanDiego?

Why did the chicken cross the road?

What is love? (and click on "Use What Is Love (song) instead")

Is wolframalpha better than google?

How much wood could a wood chuck chuck if a wood chuck could chuck wood?

What do women (or men) want?

How do I win the lottery?

Where do babies come from?

88mph

There are tons of movie and other references as well. If you start a line in a written work or film or song it finished it or answers the questions as they did in the piece. (ex. how many roads must a man walk down?)