# raycast/ray-so

Create code snippets, browse AI prompts, create extension icons and more.

Repository: https://github.com/raycast/ray-so
Canonical: https://ross.abutalabs.com/products/ray-so
Homepage: https://ray.so
Language: TypeScript
License: MIT
License Family: permissive
Last push: 2026-08-24T14:43:59+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 97
- inputs: {"age_days": 1365, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2347, forks 344 (observed 2026-08-28T04:06:39.949057+00:00)

## What it is
ray.so is a web application by Raycast for creating beautiful code snippet images, generating extension icons, and browsing AI prompts, presets, quicklinks, snippets, and themes. It is built as a Next.js project and open-sourced under the MIT license.

## Use cases
- create beautiful images of code snippets
- generate icons for raycast extensions
- browse and import AI prompts
- find raycast themes and quicklinks
- share code screenshots with syntax highlighting
- explore AI presets for raycast

## When to choose
- you want to turn code into shareable images
- you need polished icons for Raycast extensions
- you want to discover Raycast prompts, snippets, or themes

## When to avoid
- you need a CLI or API for automated code image generation
- you want a general-purpose image editor
- you don't use Raycast and only need plain code screenshots

## Facets
- artifact type: application
- maturity: active
- function: image-processing, developer-tools, ui-components
- domain: developer-tools, web-development
- platform: cross-platform
- tags: code-to-image, nextjs, raycast, ai-prompts, icon-generator, snippet-sharing, web-server, nodejs

## Member repositories
- raycast/ray-so (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:39.949057+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 2026-08-30T02:37:00.835025+00:00, confidence not recorded.
  - readme: https://github.com/raycast/ray-so (fetched 2026-08-28T04:06:39.949057+00:00, sha f22c75453a65)
  - homepage: https://ray.so (fetched 2026-08-29T10:17:47.976023+00:00, sha 0d51cb367ace)
- Data as of 2026-08-30T08:39:29.467469+00:00.