unrager

─── what it does ───────────────────────

rage filter

Every tweet classified by a local Ollama model against your rubric. Matches are physically removed — not collapsed, not grayed, gone. Verdicts cache to SQLite; edit the rubric and the cache invalidates.

terminal-native

ratatui + crossterm. Inline photos, video posters, GIF frames via the kitty graphics protocol on Ghostty, Kitty, WezTerm. Falls back to glyphs elsewhere.

free reads

Browser cookies → X's own GraphQL endpoints, the same path the web client uses. No API key, no cost, no rate tier.

write via OAuth

Tweet & reply through the official X API v2 with your own registered client. Auto-likes on reply. Your identity, your rate limits.

four LLM hooks, one model

Filter classifies tweets. Translate (T) rewrites foreign-language posts in English. Ask (A) opens an inline gemma chat about the selected post with thread context auto-attached. Brief (B) generates a short profile analysis from someone's timeline. All the same local Ollama. Nothing leaves your machine.

Vim-mode composing

Every text input — reply, ask, command palette — is a miniature Vim editor. Insert / Normal, hjkl, w/b, dd/dw, counts, ^/$. Status line shows the mode and a live character count.

serve anywhere

Optional HTTP server + embedded Dioxus web client. Pair with Tailscale and you have the same feed on iOS, Android, and the browser — one binary, one codebase.