<|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 2018-10-10 11:00:10, zenith from company zenith tweeted. The tweet was "In 1988, Zenith opened its doors to the first office in London! See our history, and find out about our milestones! #theROIagency <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-11 15:14:46, MSEurope handle of company microsoft tweeted. The tweet was "Microsoft’s Flagship Store in #London opened its doors today! 🎉 Take a peek inside the shiny new store here: <hyperlink> <hyperlink>". This tweet got 211 number of likes. 
2. On 2019-07-11 16:20:02, MicrosoftStore handle of company microsoft tweeted. The tweet was "Welcome to our Microsoft London flagship! This is much more than a shopping experience – it’s Microsoft’s newest front door, providing free access to resources &amp; tools for every customer. Learn more: <hyperlink> #MicrosoftLDN <hyperlink>". This tweet got 343 number of likes. 
3. On 2019-12-12 08:42:29, TheAA_UK handle of company aa tweeted. The tweet was "<mention> Amazing.... Us in the office celebrating the great service you had. <hyperlink>". This tweet got 0 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
