One board holds every piece of customer feedback, from app store reviews to survey answers, and turns the repeating ones into tracked issues. Each project defines channels like App Review, VOC, or Survey with custom fields for text, numbers, dates, selects, images, and AI-generated values. The feedback table filters by keyword, date, and field, expands rows for detail, and exports results when a report is due. Issues carry status labels and appear in a kanban or list view, with ticket links that point to Jira or another tracker. A dashboard charts feedback and issue trends over any date range, with counters for today and yesterday. The AI field can summarize, translate, or score sentiment on incoming messages, and issue recommendation suggests where a new message belongs, with token usage limits and notifications to cap spending. Webhooks announce events to other systems, API keys let apps submit feedback directly, and role-based access limits what each member can do. Members join by email invitation, and single sign-on connects an existing identity provider. A CLI starts the full stack, and optional OpenSearch improves search and AI accuracy. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.