For simple queries like [panda] or [Napoleon Bonaparte], hakia shows galleries: a big list of results grouped by topics that try to answer to many possible queries. For Napoleon Bonaparte, you'll see these clusters: official websites, biographies, pictures, news and interviews, fan sites, awards, speeches, myths, controversies, resources, innovations, statistics, bibliography, filmography. So it's like an automatically-generated Wikipedia page, without a coherent story.
Like other search engines, hakia shows snippets for each result, but these snippets are bigger and try to highlight a possible answer to your query. Unfortunately, hakia is not always on the right track and when it fails, it fails completely.
hakia works only for English queries, doesn't recognize spelling errors too often, doesn't have advanced operators and it's a bad choice for navigational queries (the first search result for [google] is google.org).
The search engine will get out of beta this year and its founders predict it will be the first engine to use ontological semantics that enable it "to perceive concepts beyond words and retrieve results with meaningful equivalents".