<|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 2018-10-16 18:00:02, BBCHolbyCity from company bbc tweeted. The tweet was "Mr Hanssen will be meeting with various staff members today - we think for a new project he's working on? 💁🏽#HolbyCity HR #HolbyCity HR <hyperlink>". The most similar tweets were, 
1. On 2020-01-28 19:00:00, ITG_Ltd handle of company independent tweeted. The tweet was "The look you give when someone says they don't watch #HolbyCity...

Tune in to <mention> at 8pm tonight for a brand new episode. <mention> 👨‍⚕️  

⭐️ <mention> <mention> &amp; #GuyHenry
✍️ Ep 7 Written by #ElliotHope and #JohanneMcAndrew
✍️ Ep 28 Written by #AndrewRattenbury <hyperlink>". This tweet got 64 number of likes. 
2. On 2020-02-01 00:19:38, MetroUK handle of company metro tweeted. The tweet was "The scene at the Brandenberg Gate in Berlin at midnight #BrexitDay <hyperlink>". This tweet got 208 number of likes. 
3. On 2020-05-03 16:23:48, MetroUK handle of company metro tweeted. The tweet was "There's something quite beautiful about a quiet central London. Thank you to everyone staying at home 🙏 <hyperlink>". This tweet got 305 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
