Feeds Fun
Self-HostedOpen-source self-hosted feed reader with a focus on simplicity and enjoyment
Overview
Feeds Fun is an open-source, self-hosted RSS/Atom feed reader built for users who want full control over their news consumption. It supports organizing feeds into folders, offline content caching, dark mode, and a responsive UI for mobile/desktop use. Deploy easily via Docker Compose—SQLite is the default database for minimal setup, with optional PostgreSQL/MariaDB support for scalability. Ideal for privacy-conscious users avoiding third-party feed services.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
feeds_fun:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: feeds-fun
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- RSS/Atom feed support with folder organization
- Offline content caching for on-the-go access
- Docker-based deployment for quick setup
Frequently Asked Questions
? Is Feeds Fun hard to install?
Feeds Fun is easy to install using Docker Compose. Clone the repo, adjust optional env vars (like database type), and run the compose command. SQLite is default, so no extra database setup is needed for basic use—great for beginners.
? Is it a good alternative to Feedly?
Yes! It offers core feed reading features like folder organization and offline access, but with full self-hosting control. Unlike Feedly, there are no ads or paid tiers, though it lacks Feedly’s collaborative tools or AI suggestions.
? Is it completely free?
Feeds Fun is 100% free and open source. All features are available without any cost—you only pay for your own server/hosting if you deploy it online.
Top Alternatives
People Also Ask about Feeds Fun
Tool Info
Pros
- ⊕ Privacy-focused (no third-party data collection)
- ⊕ No subscription fees—100% free to use
- ⊕ Lightweight with minimal resource requirements
Cons
- ⊖ Requires basic Docker knowledge for initial setup
- ⊖ Lacks advanced AI recommendation features
- ⊖ No built-in cross-device sync (depends on self-hosted network access)