Every Recommendation, Remembered

Mention a book in passing — "I heard Klara and the Sun is great" — and Aether quietly adds it to your reading list. It remembers who recommended it, when, and what they said about it. When you're looking for something to read on vacation, it doesn't give you a generic bestseller list. It gives you your own curated backlog with context.

Same for shows, podcasts, movies, articles. Everything you've ever said "I should check that out" about, in one place, without you ever maintaining a list.

Your Backlog
📖 Klara and the Sun — Recommended by Sarah (March) · "reminded her of your AI interest"
📺 Shogun — Marcus mentioned it twice · Historical drama
🎧 Acquired podcast, LVMH episode — You bookmarked last month
📖 Build by Tony Fadell — From that product design thread
23 items across 4 categories

Suggestions Based on You, Not Algorithms

Pattern recognition. "You've read three books on decision-making this year. Here's one you haven't seen that fits the pattern — and it's shorter, which you tend to prefer." Aether's recommendations come from understanding your actual taste, not from engagement-optimized algorithms.

Mood matching. "Looking for something light tonight" → Aether knows you enjoy dry British comedies and suggests accordingly. "I want something I have to pay attention to" → it recommends the dense documentary you saved two months ago.

Social context. "Marcus just finished Shogun — you could watch it too and actually discuss it." Aether connects your media consumption with your relationships, not just your preferences.

For You Tonight
"Marcus just finished Shogun — you could watch it too and actually discuss it."

Built For

Avid readers with lists scattered across Goodreads, Notes, and their own memory. Anyone who hears great recommendations and immediately forgets them. People who spend 20 minutes scrolling Netflix trying to decide what to watch. Book clubs that need to pick next month's selection. Anyone who wants a personal media advisor that actually knows what they've enjoyed and why.

[SYS]