Ross ROSS = Recommend OSS · open-source software intelligence for agents

tsingyuai/growth-lab

An end-to-end growth tool that understands the product, fetch the data it needs, researches the market, executes campaigns, and reviews results to improve the next round of growth. 从代码到市场的开源端到端增长工具。理解产品、接入信息渠道、研究市场、执行增长行动,并基于真实数据自我改进。 observed · 2026-08-28

github.com/tsingyuai/growth-lab · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

56/100

  • Activity 97
  • Release rhythm 35
  • Longevity 2

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 40
  • days_rel: n/a
  • days_push: 22
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1861 stars · 169 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Growth Lab is an open-source, end-to-end AI growth system that runs product marketing and user-acquisition loops through natural-language conversations with coding agents like Claude Code and Codex. It organizes skills, external clients (browser, APIs, content platforms), and persistent file-based memory into observe-act-review loops covering channels such as SEO page growth and Xiaohongshu content research, creation, and publishing.

Use cases

  • run an end-to-end growth loop for my product from my code repo
  • research high-performing Xiaohongshu content and generate posts with images
  • automate SEO page creation and track impressions and clicks
  • review past campaign results and decide the next growth action
  • audit which API keys and clients my growth setup is missing
  • collect market evidence and turn it into content strategy
  • keep product context and growth memory across AI sessions

When to choose

  • you want a self-improving marketing/growth loop driven by Claude Code or Codex
  • you need SEO or Xiaohongshu content workflows with persistent memory and result review
  • you prefer open-source tooling where all data and artifacts stay in your own workspace
  • you want to drive marketing execution entirely through natural language

When to avoid

  • you need a polished hosted dashboard or no-code marketing suite
  • your channels are not SEO or Xiaohongshu and you cannot build custom skills
  • you require fully autonomous unattended operation rather than conversational collaboration
  • you cannot provide local credentials for browser clients or image-generation APIs

Facets

framework · maturity active

agent-framework workflow-automation web-scraping nlp llm-inference prompt-engineering mcp analytics large-language-models developer-tools analytics crawlers python cli cross-platform growth-hacking marketing-automation claude-code codex agentic-marketing seo-automation xiaohongshu skills self-improving-loop open-source seo ai-agents automation marketing docker

2 sources

Member repositories

RepositoryRoleHealth v2
tsingyuai/growth-labmain56

For agents

markdown · JSON · MCP: product_card(name="tsingyuai/growth-lab")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem