likes / service
“Luckily, there's a couple other people around at the time and everyone's like, "No, wait, I love my YouTube meetings.”
Evidence index / named items
Compare how many distinct people recommended, used, liked, owned, built, or avoided the same item—then inspect every transcript excerpt behind the count.
1named items
1evidence rows on this page
Explicitquote verified; attribution disclosed
service / evidence rows
1 distinct person
likes / service
“Luckily, there's a couple other people around at the time and everyone's like, "No, wait, I love my YouTube meetings.”