# pasky/speedread

A simple terminal-based open source Spritz-alike (per-word RSVP aligned on optimal reading points)

Repository: https://github.com/pasky/speedread
Canonical: https://ross.abutalabs.com/products/speedread
Language: Perl
License: MIT
License Family: permissive
Last push: 2024-06-11T11:54:31+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4567, "days_push": 813, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1257, forks 107 (observed 2026-08-28T04:04:09.429613+00:00)

## What it is
A terminal-based speed-reading tool that displays text as per-word RSVP (rapid serial visual presentation) aligned on optimal reading points, Spritz-style. It works as a command-line filter, accepting piped text and showing it at a configurable words-per-minute rate.

## Use cases
- speed read long articles in the terminal
- read emails faster with mutt integration
- train myself to read at 500+ words per minute
- pipe any text file into a spritz-like reader
- read text without moving my eyes

## When to choose
- you want a lightweight, scriptable speed-reading filter for the terminal
- you read lots of piped text such as emails or plain text files
- you prefer minimal Unix-style tools that compose with grep, cat, and mutt

## When to avoid
- you need a graphical reader with large fonts or web/browser integration
- you need seeking back and forward through the text
- you need fine-grained word timing or configurable pacing coefficients

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: cli, nlp
- domain: developer-tools
- platform: cli, cross-platform
- tags: speed-reading, rsvp, spritz, perl, terminal, command-line, natural-language-processing, linux, macos

## Member repositories
- pasky/speedread (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:09.429613+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 2026-08-30T05:07:12.298565+00:00, confidence not recorded.
  - readme: https://github.com/pasky/speedread (fetched 2026-08-28T04:04:09.429613+00:00, sha 7c76ecf0bdab)
- Data as of 2026-08-30T08:39:29.467469+00:00.