# zhanglun/lettura

another rss reader

Repository: https://github.com/zhanglun/lettura
Canonical: https://ross.abutalabs.com/products/lettura
Homepage: https://zhanglun.github.io/lettura/
Language: TypeScript
License: MIT
License Family: permissive
Topics: rss, rss-reader, rust, tailwindcss, tauri-app
Last push: 2026-07-30T11:23:55+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 40, longevity 100
- inputs: {"age_days": 2164, "days_push": 34, "days_rel": 618, "gap_med": 12, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1809, forks 71 (observed 2026-08-28T04:05:39.372278+00:00)

## What it is
Lettura is a free, open-source RSS/feed reader desktop app built with Tauri, Rust, and TypeScript. It offers a clean, distraction-free reading experience with search, keyboard shortcuts, and podcast playback across macOS and Windows.

## Use cases
- read rss feeds in a desktop app
- follow blogs and news in one place
- listen to podcasts from my feed reader
- search across all my subscribed feeds
- keyboard-driven rss reading
- free open-source alternative to feedly

## When to choose
- you want a lightweight, fast native desktop RSS reader
- you need cross-platform support on macOS and Windows
- you want podcast playback built into your feed reader
- you prefer open-source software with a clean shadcn/ui design

## When to avoid
- you need a web-based or mobile RSS reader
- you require Linux support today (still in progress)
- you need team feed sharing or sync services
- you want a fully mature feature-complete reader

## Facets
- artifact type: application
- maturity: active
- function: search-engine, gui, audio-processing
- domain: developer-tools, cross-platform, media
- platform: windows, rust
- tags: rss-reader, feed-reader, tauri, podcast, shadcn-ui, tailwindcss, macos, desktop

## Member repositories
- zhanglun/lettura (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:39.372278+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:21:21.331514+00:00, confidence not recorded.
  - readme: https://github.com/zhanglun/lettura (fetched 2026-08-28T04:05:39.372278+00:00, sha 14536b6c0bd4)
  - homepage: https://zhanglun.github.io/lettura/ (fetched 2026-08-29T11:00:18.039312+00:00, sha 149c29c81232)
- Data as of 2026-08-30T08:39:29.467469+00:00.