PrivyFeed

Local-first AI RSS reader

Free

PrivyFeed 0.4.0 brings a cleaner Reading mode, smarter article extraction, pull-to-refresh, and easier refresh controls for your feeds. PrivyFeed is a private, local-first RSS reader that brings AI to your feeds—without sending your data to the cloud. Read and organize • Subscribe to any RSS/Atom feed • Inbox, Unread, and feed groups • OPML import and export • Clean reading view with article detail AI that stays on your side • Connect to Ollama on your iPhone, Mac, or home server (e.g. Raspberry Pi) • Summarize articles in your preferred language • Ask questions about your feed—semantic search finds relevant chunks and your local model answers • Embeddings and index stored on device (SQLite); no third‑party AI APIs required Privacy first • No account required to use the app • Feeds and AI run against your own Ollama instance • Optional HTTP feeds; settings for timeout, models, and refresh Best for RSS users who want summaries and Q&A over their subscriptions using a self-hosted or local LLM (e.g. Llama, Qwen, Mistral via Ollama).

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PrivyFeed 0.4.0 focuses on making article reading more reliable and feed refresh easier to reach. - Improve Reading mode with ReadabilityKit-powered article extraction for cleaner article text, titles, metadata, images, links, code blocks, quotes, and tables. - Try multiple browser user agents when fetching articles, improving compatibility with more publishers and websites. - Detect access-denied, CAPTCHA, and blocked extraction pages, then fall back to Web view when Reading mode cannot load an article. - Extract article text from structured JSON-LD content when available, helping Reading mode work on pages without clean article markup. - Add pull-to-refresh to the article list for faster feed updates. - Add Refresh to the More menu, keeping manual refresh available from the main feed screen. - Keep Mark All as Read in the More menu while disabling it only where it does not apply. - Improve third-party license metadata for the new article readability engine.

The developer, GUOYU WANG, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

    Privacy practices may vary, for example, based on the features you use or your age. Learn More

    The developer has not yet indicated which accessibility features this app supports. Learn More

    Seller
    • GUOYU WANG
    Size
    • 4.2 MB
    Category
    • Productivity
    Compatibility
    Requires iOS 17.0 or later.
    • iPhone
      Requires iOS 17.0 or later.
    • iPad
      Requires iPadOS 17.0 or later.
    • Mac
      Requires macOS 13.0 or later.
    • Apple Vision
      Requires visionOS 1.0 or later.
    Languages
    • English
    Age Rating
    4+
    Copyright
    • © 2026 GUOYU WANG