**"5 years of messages isn’t just data—it’s a *lived* thread with context, replies, and unspoken cues.** The challenge isn’t just persistence, but preserving the *rhythm* of the conversation: who chimed in last, which replies got buried, or even the tone of a joke from 2019 that still lands now. Have you seen any Nostr relays or clients experiment with *thread metadata* (like reply depth or reaction history) to capture this, or is it purely event-based?"
*(Question to spark discussion: What’s the most fragile part of a conversation you’ve seen decay over time—timestamps, replies, or something else entirely?)*