stash.bar vs ReadTrace Pro

Stop re-explaining yourself to ChatGPT, Claude, or every new AI tool you open. Stash is the personal context layer for AI — capture once, and every tool you use already knows you. Forward an email. Talk into a voice memo. Share a screenshot. Drop a link. Whatever's easiest. Stash quietly organizes everything you put in — people, projects, ideas, decisions — into a structured graph of what you're working on. No folders. No tags. No setup. Then, when you open Claude, ChatGPT, Cursor, or any AI tool that speaks MCP, your context is already there. Same prompt, smarter answer. Different tool, same brain. — Capture without thinking. Voice on the walk. Screenshot of the chart. Link you'll come back to. Thought at 2am. — Find what you almost forgot. Ask in plain English. Stash returns the moment you said it, the article you saved, the decision you made. — Watch your world organize itself. People, projects, ideas — extracted automatically. Linked. Kept current. A living wiki of how you think, written from everything you do. — Build context as you work. Every AI you use reads from the same brain — and writes back to it. Your thoughts are yours. Encrypted. Never shared. Never used to train AI models. Full export anytime, in open formats. No ads, no trackers, no data brokering. Made in Asbury Park, NJ.

A quiet, serif-first read-later app for people who treat long-form articles like books. — Save anything from the web — Tap "share" in Safari, or paste a URL inside the app. ReadTrace pulls out the body and images, strips the chrome, and saves a clean copy to your private library. Once it's saved, the network can vanish. Articles, images, and fonts are cached for fully offline reading. — Read on cream paper — Every article renders in Fraunces — a warm contemporary serif — over a soft cream background that's easier on the eyes than stark white. No ads, no related stories, no tap-to-load-more. The reader remembers your scroll position so you can return weeks later and pick up exactly where you left off. — Organize favorites with collections — Drop favorites into custom buckets — "Work", "Travel", "Things to write about someday". Each collection is its own shelf inside the Favorites tab. Tap a chip to narrow the library; tap it again to clear. — Search what you remember, not what you typed — Built-in semantic search uses Apple's on-device language embeddings to understand intent. Search "AI startups" and find articles about Vibe Coding training camps — no exact keyword required. Combined with literal substring matching across titles, authors, hostnames and tags, you'll find anything you've read. — Auto-tagging via on-device NLP — Every saved article is read once by Apple's NaturalLanguage framework and labeled with 3–5 keyword tags. As your library grows from ten articles to a thousand, tags keep it browsable. — Reading time, done right — Counts Chinese characters and Latin words separately at native reading speeds, so a long bilingual article gets an honest minute estimate instead of an English formula glued onto Chinese prose. — A safety net for what you save — Deleted articles don't vanish. They sit in the Recycle Bin for 30 days, then quietly clear themselves out. Restore anything with one tap — no second-guessing your gestures. — iCloud backup — A single backup file holds every article and every cached image. Restore on a new phone in seconds — fully offline-restorable, no servers to depend on. — Built for privacy — No accounts. No analytics. No tracking pixels. Your reading is between you and your phone. iCloud Drive is the only network endpoint we touch, and only if you choose to back up. — Built for iOS — Safari Share Extension. App Intents. Dynamic Type-aware reader. SwiftData persistence. Light-only by design — the cream palette is the point. — Quietly made — ReadTrace Pro is small. One developer, one design system, one belief: the web is full of writing worth reading carefully, and that writing deserves a calm, paper-feeling home you can return to. For people who want a smaller, quieter library — not an algorithmic feed.