<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-09-03 15:00:00, RBC from company rbc tweeted. The tweet was "Women are changing the narrative in the film industry. It’s time to tell their stories. #RBCxTIFF <hyperlink>". The most similar tweets were, 
1. On 2019-09-26 19:02:02, AMCTheatres handle of company amc tweeted. The tweet was "What is the history of female superhero movies? And what does the future look like? Let’s discuss!💥✨🎬

Full Story: <hyperlink> <hyperlink>". This tweet got 30 number of likes. 
2. On 2019-05-02 17:30:05, filmindependent handle of company independent tweeted. The tweet was "We believe all stories should be represented in film. Thank you to <mention> for supporting our 2019 Producing Lab Fellows! #AcademyGrantInAction <hyperlink>". This tweet got 73 number of likes. 
3. On 2019-02-23 23:41:59, filmindependent handle of company independent tweeted. The tweet was "BEST SUPPORTING FEMALE goes to <mention> #SpiritAwards <hyperlink>". This tweet got 535 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
