<|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 2018-10-04 10:28:19, Zenith_Media_UK from company zenith tweeted. The tweet was "This morning we joined <mention> #RideAdland - we took a quick break from our usual cool, calm and collected selves by cycling for a great cause. Watch this space for more... <hyperlink>". The most similar tweets were, 
1. On 2018-01-03 21:30:25, continentaltire handle of company continental tweeted. The tweet was "Set aside some time to enjoy the ride <mention> <hyperlink>". This tweet got 45 number of likes. 
2. On 2018-06-11 02:33:19, MetLifeStadium handle of company metlife tweeted. The tweet was "Heading home with our ride share partner <mention> ? Please note pick-up location is in Lot D. <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-08-09 22:34:24, continentaltire handle of company continental tweeted. The tweet was "Well <mention> went for a ride at the start, but hung on for a 4th place finish at the checkered. <mention> <mention> <hyperlink>". This tweet got 275 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
