<|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 2020-03-06 18:09:03, Airbnb from company airbnb tweeted. The tweet was "👤 caitlin haney (she/her)
💼 technical recruiter
📍 seattle, washington
📝 "focus on the mission and the people. follow the product and make sure you're motivated by that at the end of the day." <hyperlink>". The most similar tweets were, 
1. On 2019-01-14 18:25:01, CiscoPartners handle of company cisco tweeted. The tweet was "Learn how organizations can inspire and connect with employees, no matter where they are in the 🌎. Join our SuccessTalk webinar, tomorrow at 11am ET: <hyperlink> #MarketingMonday <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-10-22 09:52:24, evanwilliams handle of company williams tweeted. The tweet was "This Airbnb review takes a really unexpected turn. <hyperlink>". This tweet got 112 number of likes. 
3. On 2019-04-19 16:51:00, CiscoPartners handle of company cisco tweeted. The tweet was "Join <mention> and <mention> for Marketing Velocity on-the-air as they share Boon's vision 👀 for Global #Partner Marketing, 3 keys to elevate your role as a marketer, and more:<hyperlink> <hyperlink>". This tweet got 1 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
