<|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 2018-10-27 23:01:12, chaptersindigo from company indigo tweeted. The tweet was "Check out our Venom Shop and pick up some of the stories that inspired the film! <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-03 02:07:57, CharlesPulliam handle of company pm tweeted. The tweet was "I walked into #Venom fully expecting not to enjoy it, but…I kinda did. <hyperlink> <hyperlink>". This tweet got 758 number of likes. 
2. On 2019-01-31 17:21:54, Independent handle of company independent tweeted. The tweet was "Venom star reveals they didn’t understand anything about Venom <hyperlink> <hyperlink>". This tweet got 98 number of likes. 
3. On 2018-10-07 14:00:02, AMCTheatres handle of company amc tweeted. The tweet was "Last chance! See #Venom TODAY and get this AMC-exclusive comic book! Grab tix now: <hyperlink> <hyperlink>". This tweet got 72 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
