What is SparkFeed?

The problem with modern reading

The modern web has a discovery problem. Between algorithmic timelines, paywalls, and notification overload, staying informed has become exhausting.

Most RSS readers tried to solve this, but they either became subscription services (Feedly, Inoreader), got shut down (Google Reader), or require a cloud account.

SparkFeed is different. It runs on your machine, stores data locally, and gives you back full ownership of your reading experience.

What SparkFeed actually does

At its core, SparkFeed is a feed reader and aggregator:

Capability	Description
Feed management	Add, organize, and remove RSS/Atom feeds
Article reading	Clean, focused reading view for any article
Folder organization	Group feeds into folders for better organization
Favorites	Star articles to save them for later
Offline reading	Read cached articles without an internet connection
Search	Quickly find articles across all your feeds
AI (coming soon)	Summarize articles and generate social media posts

How it’s built

SparkFeed is a TypeScript-first, full-stack application:

Browser (React + Tailwind + TanStack Router)
         ↕
  API Layer (Nitro server)
         ↕
  Local Database (SQLite via Drizzle ORM)

The entire stack runs on your local machine. There’s no remote database, no authentication service, and no cloud dependency.

Why Nitro?

Nitro is a fast, lightweight server toolkit from the UnJS ecosystem. It’s the same runtime that powers Nuxt 3 and is designed to be deployed anywhere, or in SparkFeed’s case, run entirely locally.

SparkFeed vs other readers

Feature	SparkFeed	Feedly	Miniflux	Reeder
Self-hosted	Yes	No	Yes	No
Local database	Yes	No	No (Postgres)	No
No account needed	Yes	No	Yes	No
Free forever	Yes	No (Freemium)	Yes (paid)	No (paid)
AI features	Coming	Yes (paid)	No	No
Open source	Yes	No	Yes	No

The philosophy

SparkFeed is built on a simple belief: you should own your reading experience.

Your feeds, your articles, and your reading history should all live on your machine, not on a startup’s servers.

This is why SparkFeed will always be:

• Free: No subscription, no “Pro plan”
• Open source: Inspect and modify the code
• Local-first: No cloud, no syncing required
• Privacy-respecting: No analytics, no data selling