A work in constant progress (and occasional regress).
Alias:
Kane Pixels
Birthplace:
San Francisco, California, USA
Born:
June 18, 2005
Kane Parsons (Born 2005), is an American 18-year-old director and VFX artist. He is best known for his series of YouTube ‘Backrooms’ series, which have all collectively amassed over 100 million views. Parsons is set to adapt his shorts into a feature film. The film will be produced by James Wans’ production company Atomic Monster, as well as being distributed by A24.
Director:
2024 Backrooms - Found Footage #3
???? The Backrooms
Creator:
2023 The Oldest View
Director:
2023 The Oldest View
Most data and links to images for the Movies section come from TheMovieDB (TMDB).
Additional data for Film Titles come from The Open Movie Database (OMDb).
At least one plug-in comes from IMDb.
Data are -- hey, it's a plural -- subject to the limitations of their sources. (For example, TMDB search results currently max out at 20.) I am limiting myself to free data sources for now. (No, a "free trial" is not free.)
While much of the above data are retrieved directly from outside APIs and other such sources, data from American Film Institute (AFI) and British Film Institute (BFI) were manually entered the old fashioned way into a MySQL database. Re BFI I took the following liberties:
Regarding profile removals and data corrections:
Filtering is applied here to film projects flagged as "adult" by TheMovieDB. Pending "popular demand" I am contemplating a login and profile system with preferences (such as whether to allow adult images to appear) and permissions (such as data entry).
Whereas the overall purpose of this website is to serve as a personal demo/portfolio/workshop of web and data skills, this Movies section is not meant to compete with or substitute for far more definitive movie websites.
Whether or not he still clings to an award which he won in 1986 as a film critic for his college's newspaper, Jeffrey Hartmann is not responsible for the texts of overviews and biographies supplied by external data sources.