<|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 2019-06-17 10:30:00, UNICEF from company unicef tweeted. The tweet was "Every hug. Every kiss. Every game. Goes straight towards building your baby's brain! 💙 <mention> 

#EarlyMomentsMatter <hyperlink>". The most similar tweets were, 
1. On 2018-03-24 15:10:15, FreeHugsProject handle of company free tweeted. The tweet was "Getting ‘hug swarmed’ by students after speaking to them about the importance of treating each other with love and respect. 😊
#MarchForOurLives #Enough #NeverAgain <hyperlink>". This tweet got 46 number of likes. 
2. On 2018-11-06 19:43:07, GEHealthCare handle of company ge healthcare tweeted. The tweet was "Lessons and love: How parents of #preemies learned to trust their journey <hyperlink>
#PrematurityAwarenessMonth
#PMAM <hyperlink>". This tweet got 64 number of likes. 
3. On 2018-09-27 15:31:01, AmyDuPontWKBT handle of company dupont tweeted. The tweet was "Born to love the <mention>! <mention> is celebrating the team’s playoff run by giving newborns these onesies. <mention> <mention> <hyperlink>". This tweet got 44 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
