# xdite/learn-hack

打造超人學習

Repository: https://github.com/xdite/learn-hack
Canonical: https://ross.abutalabs.com/products/learn-hack
License Family: other
Last push: 2025-01-14T07:16:21+00:00

## Health v2 (maintenance only)
Score: 33/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 1, release rhythm 35, longevity 100
- inputs: {"age_days": 1774, "days_push": 596, "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 1580, forks 206 (observed 2026-08-28T04:05:06.919316+00:00)

## What it is
An open-source Chinese-language book hosted on GitHub about building superhuman learning ability, covering deliberate practice, memory techniques, flow-based learning, and how to learn programming, languages, and courses. It is a written educational resource, not software.

## Use cases
- learn how to learn faster
- improve memory and study techniques
- learn deliberate practice methods
- self-study a programming language effectively
- take better reading notes and absorb books efficiently
- apply flow-state and gamification to learning

## When to choose
- you want a free, structured guide to meta-learning and study skills
- you read Chinese and want practical learning frameworks
- you are self-teaching programming or a foreign language and want proven methods

## When to avoid
- you need runnable software or a tool rather than reading material
- you need an English-language resource
- you want peer-reviewed academic material rather than an opinionated practitioner book

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: education, tutorials, developer-tools
- platform: -
- tags: book, learning-methods, chinese, meta-learning, study-skills, web-server

## Member repositories
- xdite/learn-hack (main) score 33

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:06.919316+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 2026-08-30T03:56:38.096435+00:00, confidence not recorded.
  - readme: https://github.com/xdite/learn-hack (fetched 2026-08-28T04:05:06.919316+00:00, sha 212662449f75)
- Data as of 2026-08-30T08:39:29.467469+00:00.