<|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 2018-05-17 20:45:07, USAIDPolicy from company usaid tweeted. The tweet was "💡<mention> used strategic collaboration &amp; feedback loops to mobilize community coalitions to troubleshoot local implementation challenges &amp; improve quality. How are you building #selfreliance? Enter the 2018 #CLACaseComp! <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-04-02 06:00:01, ciscomiddleeast handle of company cisco tweeted. The tweet was "How can your IT team lead the way in collaborative #innovation? Why not gain some inspiration from smart city projects…

<hyperlink>
<mention> <mention> <mention> <mention> <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-12-02 23:07:11, IndependentNGR handle of company independent tweeted. The tweet was "Civil Society Groups Call For Mutual Cooperation Between Communities, Hyprep For Ogoni Cleanup <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-04-11 16:18:32, CiscoCollab handle of company cisco tweeted. The tweet was "Q4. How can businesses maintain #teamcollaboration across distance? #CiscoChat <hyperlink>". This tweet got 4 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
