<|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 2019-10-05 05:00:00, ZenithBank from company zenith tweeted. The tweet was "Do something nice today! You can start by buying airtime for someone who needs it. Who would that lucky person be?
#DoSomethingNiceDay #WeekendVibes <hyperlink>". The most similar tweets were, 
1. On 2018-08-17 13:45:03, MTNNG handle of company mtn tweeted. The tweet was "Hello guys!! Here’s something for the weekend, can you figure this out? 🤔 Answer correctly to get airtime reward. You must be following us to participate #FreebieFriday #TGIF <hyperlink>". This tweet got 550 number of likes. 
2. On 2020-05-20 14:54:07, MTNNG handle of company mtn tweeted. The tweet was "Airtime up for grabs!! 
Answer all the trivia questions correctly and get rewarded! 
Tag your friends to participate, winners will be chosen at random. #MTNSocialSpree <hyperlink>". This tweet got 1060 number of likes. 
3. On 2020-09-30 06:33:32, AIRTEL_KE handle of company airtel tweeted. The tweet was "Buy airtime through Airtel Money and get 5% extra airtime. Dial *222# or download #MyAirtelApp: <hyperlink> #BeSmartBeSafe <hyperlink>". This tweet got 320 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
