MiruList.app

MiruList makes planning the next movie night simple and fair. The platform brings all steps together in one place: finding a date, nominations, binding acceptances and declines, weighted voting based on the participant list, as well as a rating in the watch history after the evening. Thanks to signed invitation links, guests can participate without an account – with no friction.

MiruList relies on a modern TypeScript stack and puts the user experience front and center. Streaming availabilities are aggregated from connected services. Two independent rankers support discovery and decision-making: “What should we add?” and “What are we watching tonight?”. They take group preferences, availability, and actual participation into account. Imports and subscriptions (RSS, TMDB lists, CSV, watch history) keep watchlists automatically up to date, while notifications and the activity feed keep everyone in the loop.

From the first idea through delivery, MiruList was developed as AI-driven. A differentiating AI agent pipeline orchestrates research, prototyping, and implementation; an executing Kanban board automates handoffs and execution and creates continuous flow. At defined human-in-the-loop checkpoints, previews are reviewed and consciously released. The result is a platform that scales collaboration, respects privacy, and makes movie nights effortless.

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