Yeet Co-Founder: Community Feedback Was Integral To Success

In an interview with ViralNation, Yeet co-founder and head of marketing Penny Chen talked about how community feedback – both within the DIscord server it grew from and a dedicated “Founder Club” – helped shape the platform in the direction that it’s grown.

The company created Founder Club before the app was finished, inviting potential users to discuss their experiences with dating. According to Yeet co-founder and head of marketing Penny Chen, early discussions centered on issues such as swipe fatigue, ghosting, conversations that failed to progress and frustration with the “talking stage”.

That feedback influenced features including Vibin’ Chats, which lets two compatible users who are both online and willing to talk start a real-time conversation before deciding whether to match. Yeet says separate research found that 84% of respondents preferred real-time interaction over swiping.

The community also helped shape Yeeta, Yeet’s AI agent. Chen said users were open to AI helping start conversations but did not want it to take over interactions or impersonate them. The company subsequently positioned Yeeta around functions such as personalized icebreakers, games and conversation prompts, while keeping the actual exchange between users.

Yeet says its users spend 85% of their active time in conversation and that completed Vibin’ Chats produce a 62% mutual match rate. The figures are based on the company’s own data.

Founder Club has remained at around 2,000 members, with Yeet prioritizing ongoing, detailed feedback over growing the community as large as possible. Chen said the group’s role is primarily product insight rather than customer acquisition – traditional consumer research remains important, with quantitative research helping establish broader patterns while community discussions provide more context around the reasons behind them.

That distinction has also influenced Yeet’s marketing. Feedback from community members about conversations ending at “hey,” matches going nowhere and the pressures of the talking stage helped shape the language the company used to describe its product. This, in turn, has helped push the platform towards decisions that attract more of the audience that it already has, meaning that a lot of users are on the same page from the moment that they join.