<|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 2019-03-01 06:34:04, BBCWales from company bbc tweeted. The tweet was "#DyddGŵylDewi Hapus! 🏴󠁧󠁢󠁷󠁬󠁳󠁿
St David’s Cathedral, Pembrokeshire

© Colin

#PhotooftheDay » <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-03-04 17:41:17, MichelinGuideUK handle of company michelin tweeted. The tweet was "Cooking with a Welsh heart
<mention> by <mention> #Gower #Wales <hyperlink>". This tweet got 118 number of likes. 
2. On 2019-12-12 11:25:12, craig4monty handle of company williams tweeted. The tweet was "Another great supporter out in #Welshpool #Montgomeryshire #dogsatpollingstations <hyperlink>". This tweet got 144 number of likes. 
3. On 2020-04-14 14:55:19, OwsWills handle of company williams tweeted. The tweet was "Carol Vorderman learned Welsh in two months. 🏴󠁧󠁢󠁷󠁬󠁳󠁿

An absolutely immense achievement. 

👏 <mention> 
<hyperlink>". This tweet got 355 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
