Research on algorithmic imaginaries related to creators and influencers often focuses on their efforts to understand and best navigate algorithms to maximize visibility, and thus profits. However, there has been less work on how non-influencers work together to redistribute algorithmically-produced visibility through beliefs about how algorithms ought to work. Using "algorithmic ethnography" (Christin, 2020), Caplan and her co-authors, Elena Maris (UIC) and Hibby Thach (UIC) have identified three TikTok genres that they argue are emblematic of how practices of mutual aid (Spade, 2020) are unfolding over platforms. This article explores how these non-influencer communities demonstrate realizations of collective value and power within the economic system of TikTok, with an intent to disrupt and redirect the value in these systems (with sometimes real material consequences) as a form of political participation, compensation for cultural appropriation, or to provide relief and resources to those in need.