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Vivixiao980/vivi-ai-product-research

可复现、证据可追溯的 AI 产品与公司深度研究 Skill,含九个完整案例。

Visit GitHub
Python
29
3
1 contributors
website
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Momentum

How fast Vivixiao980/vivi-ai-product-research is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 1 – Oct 28, 2026

Stars +2 in 58 days

01
1

Forks +0 in 58 days

01

Merged PRs 0 in 58 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 1Sep 9Sep 17Sep 25Oct 3Oct 11Oct 19Oct 27
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Sep 1, 2026+1+00
Wed, Sep 2, 2026+0+00
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Sun, Sep 20, 2026+1+00
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Total+2+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Aug 91 post
    • 我把咨询顾问的研究方法,做成了适合研究AI产品的开源Skill! 以前做咨询和战略分析,我们研究一个产品,通常会看市场、竞品、用户,以及公司自身的能力。 资料入口也相对明确:行业报告、财务数据、专家访谈、用户调研…… 但开始研究 AI 产品之后,我发现原来的方法不够用了。 很多 AI 产品迭代得非常快,团队很小,也没有完整的公开数据。真正有价值的信息,可能散落在 Product…

      Read full on X, posted by @MengjieXvivi

      @MengjieXvivi · x.com

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