<|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 2018-02-12 13:54:14, SAP_Retail from company sap tweeted. The tweet was "SNEAK PEAK: See how guests get closer to the action than ever before with the new <mention> &amp; <mention> Runway App at #NYFW: <hyperlink>". The most similar tweets were, 
1. On 2018-02-12 16:53:37, SAP handle of company sap tweeted. The tweet was "See how guests are getting even closer to the action with the new, exclusive SAP and <mention> Runway App at #NYFW. <hyperlink> <hyperlink>". This tweet got 53 number of likes. 
2. On 2018-10-10 17:15:02, CiscoNetworking handle of company cisco tweeted. The tweet was "So awesome having <mention> and <mention> sit at our booth for #CiscoChat at #SpiceWorld 2018! Take in all their #IT insights right here: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-02-01 01:57:48, cameronesposito handle of company cameron tweeted. The tweet was "Sneak peek ft. <mention> <hyperlink>". This tweet got 286 number of likr 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
66<|im_end|>
