{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/65e7eb7795d04e1580bf32d0e587fd4e\" frameborder=\"0\" width=\"1900\" height=\"1425\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1425,"width":1900,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1425,"thumbnail_width":1900,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/65e7eb7795d04e1580bf32d0e587fd4e-cb998b577a81fd35.gif","duration":301.568,"title":"building momentum! aka a home base for early-stage startups &amp; their product feedback communities","description":"This Loom presents Afomya’s startup idea for a home base where early-stage founders can gather and synthesize customer feedback from a dedicated product community. Afomya, an incoming Yale CS student from Ethiopia living in New Brighton, Minnesota, explains the recurring problem of building an MVP but struggling to tighten the feedback and iteration loop to get users and responses. The MVP experience shown is a founder and advisor dashboard with community discussions, momentum scoring from engagement, interview scheduling, roadmap updates, and weekly AI-powered feedback synthesis that summarizes common feedback and top requests and suggests what to work on next. Afomya notes the prototype was designed in Figma and Goodnotes, helped with infrastructure using Claude Code, coded in React, and hosted on Vercel."}