Sloppify

ideas/media-entertainment/music-discovery-pipeline.md

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+# Music Discovery Pipeline
+
+Use listening history and taste signals to discover new artists and tracks that match your profile without repeating obvious recommendations.
+
+## Problem
+Streaming recommendations often circle familiar content, limiting genuine discovery.
+
+## Core capabilities
+- Ingest listening history from Last.fm or Spotify.
+- Build a taste profile from genres, eras, and track features.
+- Recommend similar but unexplored artists with confidence score.
+- Generate themed playlists for focus, workouts, or relaxed sessions.
+
+## MVP scope
+- Import history from one service.
+- Weekly discovery list with skip/save feedback loop.
+- Playlist export to chosen music platform.
+
+## Success criteria
+- Increased number of newly liked artists per month.
+- Better diversity in listening patterns.
+
+## Stretch ideas
+- Event-aware recommendations based on nearby concerts.
+- Cross-language discovery with translation-aware metadata.

ideas/media-entertainment/podcast-summarizer.md

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+# Podcast Chapter Summarizer
+
+Transcribe podcast episodes, split them into chapters, and produce skimmable notes with key ideas and timestamps.
+
+## Problem
+Long episodes are hard to review, so valuable insights are often forgotten or never revisited.
+
+## Core capabilities
+- Ingest audio from RSS feeds or local files.
+- Generate transcript and chapter segmentation.
+- Summarize each chapter with key points and action items.
+- Export notes to markdown, knowledge bases, or task tools.
+
+## MVP scope
+- Process a selected podcast feed.
+- Chapter-level summary template with timestamp links.
+- Searchable archive of episode notes.
+
+## Success criteria
+- Faster content review and better retention.
+- Easier sharing of insights from long-form audio.
+
+## Stretch ideas
+- Topic-based clipping for personalized highlight reels.
+- Question-answer mode over past episode archives.

ideas/media-entertainment/watchlist-ranker.md

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+# Personal Watchlist Ranker
+
+Rank unwatched movies and shows based on mood, available time, genre preferences, and quality signals.
+
+## Problem
+Large watchlists create decision paralysis, especially when available time and mood vary day to day.
+
+## Core capabilities
+- Combine ratings, runtime, mood tags, and recency into a ranking score.
+- Filter by constraints like time window and platform availability.
+- Learn personal preferences from watch history and skips.
+- Produce quick-pick recommendations for tonight, weekend, or deep-watch sessions.
+
+## MVP scope
+- Import watchlist from one source.
+- Score and rank items with editable weighting.
+- Weekly shortlist generation.
+
+## Success criteria
+- Less time spent choosing content.
+- Higher satisfaction with watched items.
+
+## Stretch ideas
+- Group recommendation mode for multiple viewers.
+- Surprise mode that balances novelty and confidence.