# amao2001/ganloss-latent-space

有趣的80后程序员的工作流分享

Repository: https://github.com/amao2001/ganloss-latent-space
Canonical: https://ross.abutalabs.com/products/ganloss-latent-space
License Family: other
Last push: 2026-08-26T07:06:52+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 63
- inputs: {"age_days": 893, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1888, forks 488 (observed 2026-08-28T04:05:49.286527+00:00)

## What it is
An archive repository collecting automation workflows shared by the Chinese content creator '有趣的80后程序员' (Interesting 80s Programmer), organized by time and name for browsing. It accompanies their video tutorials on Douyin and YouTube.

## Use cases
- find ready-made automation workflows from a creator's archive
- browse workflows by date or name
- learn workflow building from accompanying video tutorials
- download example workflows to reuse in automation tools
- follow along with a Chinese programming creator's content

## When to choose
- you want pre-built workflow examples from this specific creator
- you follow their Douyin/YouTube tutorials and want the files
- you need a browsable archive of automation workflows

## When to avoid
- you need documented, supported software with a license
- you want workflows for a specific tool that aren't confirmed here
- you need production-grade maintained code rather than shared examples

## Facets
- artifact type: dataset
- maturity: active
- function: workflow-automation, developer-tools
- domain: developer-tools
- platform: cross-platform
- tags: workflow-archive, video-tutorials, chinese-content, no-code-workflows, automation

## Member repositories
- amao2001/ganloss-latent-space (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:49.286527+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 2026-08-30T03:13:11.510649+00:00, confidence not recorded.
  - readme: https://github.com/amao2001/ganloss-latent-space (fetched 2026-08-28T04:05:49.286527+00:00, sha 7cef24637698)
- Data as of 2026-08-30T08:39:29.467469+00:00.