TinyFeed

Self-Hosted

Lightweight self-hosted RSS feed reader for minimalists

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Overview

TinyFeed is a lightweight, self-hosted RSS/Atom feed reader built for simplicity and privacy. It features a clean, distraction-free interface to browse, organize, and search feeds, with core tools like mark-as-read, feed categorization, and data export/import. Deployable via Docker for quick setup, it runs on minimal server resources (ideal for small VPS or home servers) and avoids bloat, making it perfect for users wanting to escape proprietary feed services while keeping control over their data.

Self-Hosting Resources

Below is a reference structure for docker-compose.yml. ⚠️ Do NOT run blindly. Replace placeholders with official values.

docker-compose.template.yml TEMPLATE

version: '3'
services:
  tinyfeed:
    image: <OFFICIAL_IMAGE_NAME>:latest
    container_name: tinyfeed
    ports:
      - "8080:<APP_INTERNAL_PORT>"
    volumes:
      - ./data:/app/data
    restart: unless-stopped

Key Features

  • Distraction-free minimal UI
  • Supports RSS/Atom feed formats
  • Docker-based deployment
  • Search & feed categorization

Frequently Asked Questions

? Is TinyFeed hard to install?

No—TinyFeed uses Docker for straightforward deployment, with a simple docker-compose setup or single command. It supports SQLite for zero-database configuration, making it accessible even for users new to self-hosting.

? Is it a good alternative to Feedly?

Yes, if you prioritize simplicity and privacy over Feedly’s proprietary features. TinyFeed skips ads and bloat but covers core needs like feed organization and search—ideal for users tired of Feedly’s paid tiers or data tracking.

? Is TinyFeed completely free?

Yes—TinyFeed is open-source (MIT license) with no hidden costs. You only pay for hosting (e.g., a $5/month VPS) if you don’t run it on a home server.

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Tool Info

Pricing Free/Open Source
Category Feed Readers
Platform Self-Hosted

Pros

  • Low resource consumption
  • Privacy-first (self-hosted)
  • Clutter-free reading experience

Cons

  • No cross-device sync (web-only access)
  • Lacks advanced features like AI recommendations

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