# memect/hao

好东西传送门

Repository: https://github.com/memect/hao
Canonical: https://ross.abutalabs.com/products/hao
License Family: other
Last push: 2015-02-13T07:26:54+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4418, "days_push": 4219, "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 1419, forks 450 (observed 2026-08-28T04:04:40.354636+00:00)

## What it is
Hao (好东西传送门) is a Chinese knowledge-sharing service that curated expert answers and resource recommendations from Weibo, with archives hosted in this GitHub repository. It included a Q&A service via Weibo mentions and GitHub issues, plus weekly email digests and a WeChat public account focused largely on machine learning topics.

## Use cases
- find curated machine learning resources in Chinese
- browse archived expert Q&A from 2014-2015
- discover recommended reading on AI topics
- look up past weekly digest issues

## When to choose
- you want historical curated Chinese-language ML content from 2014-2015
- you are researching early Chinese AI community curation efforts

## When to avoid
- you need an actively maintained tool or software library
- you want current machine learning news or Q&A
- you need code rather than curated content

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation, search-engine
- domain: machine-learning, education, awesome-lists, tutorials
- platform: -
- tags: curation, q-and-a, weibo, chinese-language, content-archive, newsletter, web-server

## Member repositories
- memect/hao (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.354636+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 2026-08-30T04:37:53.722783+00:00, confidence not recorded.
  - readme: https://github.com/memect/hao (fetched 2026-08-28T04:04:40.354636+00:00, sha fcc96b0eb963)
- Data as of 2026-08-30T08:39:29.467469+00:00.