# greymd/ojichat

おじさんがLINEやメールで送ってきそうな文を生成する

Repository: https://github.com/greymd/ojichat
Canonical: https://ross.abutalabs.com/products/ojichat
Language: Go
License: MIT
License Family: permissive
Topics: joke, golang-cli
Last push: 2024-10-14T00:58:32+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": 2655, "days_push": 689, "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 1275, forks 63 (observed 2026-08-28T04:04:12.885564+00:00)

## What it is
ojichat is a Go CLI tool that generates humorous text mimicking the style of messages middle-aged Japanese men ('ojisan') send on LINE or email, complete with emoji, punctuation quirks, and katakana endings. It supports customizable emoji density, punctuation frequency, and target names, and is also available as a Docker image.

## Use cases
- generate fake ojisan-style LINE messages for jokes
- create funny Japanese text with emoji for pranks
- test chat UI rendering with emoji-heavy Japanese text
- play the 'ojisan LINE gokko' party game
- generate sample Japanese messages with configurable punctuation and emoji

## When to choose
- you want a lightweight Go CLI with no dependencies to generate ojisan-style text
- you need a Docker-based option to avoid installing Go
- you want tunable emoji and punctuation output for realistic parody messages

## When to avoid
- you need serious or professional Japanese text generation
- you require an API or library integration rather than a command-line tool
- you need support for languages other than Japanese

## Facets
- artifact type: cli-tool
- maturity: active
- function: cli, nlp, data-generation
- domain: developer-tools, entertainment
- platform: cli, cross-platform, go
- tags: joke, text-generator, ojisan-line, japanese, fun, natural-language-processing, docker

## Member repositories
- greymd/ojichat (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:12.885564+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 2026-08-30T05:03:01.638489+00:00, confidence not recorded.
  - readme: https://github.com/greymd/ojichat (fetched 2026-08-28T04:04:12.885564+00:00, sha 659910d267bd)
- Data as of 2026-08-30T08:39:29.467469+00:00.