Pop Culture

Geek Girl Season 2: Cast, Release Date & Rumours

Based on a novel by Holly Smale, Geek Girl is a new Netflix TV series which follows Harrit Manners (Emily Carey), whose life is turned upside down when she gets thrown into the fashion industry. She has no idea what she’s getting into: tight agents, offbeat designers, impossibly high heels, and a cute supermodel with a great smile.

With the release of Season 1, the show garnered a lot of attention, with its ten episodes full of drama, comedy, and wholesome moments. In light of a growing fanbase, we’ll be looking at the potential of season 2 of Geek Girl, the cast that forms the show, and rumours flying about it.

Geek Girl Season 2 Release Date

Netflix has not made any official announcements about Geek Girl season 2. However, with its rating and viewership success, the show may be renewed for another season if the producers and executives at the streaming platform approve.

Talking about the potential renewal of the show Emily Carey stated “I know it’s so cliche, and every actor says this about their show, but it is like a family. We all get along so well. And I adore them. We had the best summer. And so the thought of being able to do that again is very exciting.”

Geek Girl Cast

  • Emily Carey as Harriet Manners
  • Emmanuel Imani as Wilbur Evans
  • Sarah Parish as Jude Paignton
  • Liam Woodrum as Nick Park
  • Tim Downie as Richard Manners
  • Zac Looker as Toby Pilgrim
  • Jemima Rooper as Annabel Manners
  • Sandra Yi Sencindiver as Yuji Lee
  • Daisy Jelley as Poppy Hepple-Cartwright
  • Rochelle Harrington as Natalie Grey

Is Geek Girl based on a true story?

While not fully factual, Geek Girl is based on some of the events in the life of Holly Smale. The book is an adaption of Smale’s debut novel with the same title.

Does Harriet have autism in Geek Girl?

Geek Girl does not describe Harriet’s character as autistic or neurodiverse, but her enthusiasm for subjects, her wearing headphones in the classroom, and her internal dialogue, which is presented through voiceover in busy or loud environments, arguably imply to the possibility of a possible diagnosis.

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