<|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 2018-10-05 16:15:02, MSCloud from company microsoft tweeted. The tweet was "Read about how <mention> is working to reduce 30% of the waste and energy that goes into #FoodProduction processing by 2020: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-09-24 16:04:15, Tesco handle of company tesco tweeted. The tweet was "At Tesco, we have no time for waste.
Find out more about our initiatives to reduce #FoodWaste at <hyperlink> <hyperlink>". This tweet got 342 number of likes. 
2. On 2018-09-26 15:00:01, Tesco handle of company tesco tweeted. The tweet was "At Tesco, we have no time for waste. 
Find out more about our initiatives to reduce #FoodWaste at <hyperlink> <hyperlink>". This tweet got 55 number of likes. 
3. On 2019-02-13 19:07:07, IBMcloud handle of company ibm tweeted. The tweet was "By digitizing farming using #cloud-based technology, participants at every level of the food chain will have access to more food at a lower cost 👩‍🌾: <hyperlink> #IBM5in5 #think2019 <hyperlink>". This tweet got 70 number of likr 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
77<|im_end|>
