Piperic Business Intelligence

similar sites

Sites similar to jeffshow.com

Jeff的数据科学笔记 – All About Data Science · ranked by category · tech stack · backlink co-citation

Devi's Site – Bullshits around…

1 co-citations5 shared tech1 shared categorytechnology-and-computing

0 co-citations1 shared tech2 shared categorydatabases

YYQ's Home | 个人编程技术分享

1 co-citations4 shared tech1 shared categoryweb-development

爱优优TV _ 男生女生都爱的优优视频资讯网站

0 co-citations4 shared tech1 shared categorytechnology-and-computing

0 co-citations4 shared tech1 shared categoryprogramming-languages

0 co-citations4 shared tech1 shared categorytechnology-and-computing

雲霧鬆樹的个人博客

2 co-citations3 shared tech1 shared categorytechnology-and-computing

三角地共享社区|大模型|2024|6G

1 co-citations3 shared tech1 shared categorytechnology-and-computing

jaydigitallab.com

0 co-citations5 shared tech1 shared categorytechnology-and-computing

jiaokangyang.com

战九幽-—焦康阳的个人博客

2 co-citations2 shared tech1 shared categoryweb-development

0 co-citations4 shared tech1 shared categorytechnology-and-computing

1 co-citations4 shared tech1 shared categorytechnology-and-computing

Jaren's Blog – 欢迎 ~ ~ ~

1 co-citations3 shared tech1 shared categoryinformation-and-network-security

Jarvis Function | 用程式探索世界，用生活定義產品

0 co-citations6 shared tech1 shared categorytechnology-and-computing

鹊湖居士快斗 | 快斗

1 co-citations5 shared tech1 shared categorytechnology-and-computing

tony stark – 狗蛋，铁锤，二牛

1 co-citations3 shared tech1 shared categoryinformation-and-network-security

1 co-citations4 shared tech1 shared categoryartificial-intelligence

1 co-citations4 shared tech1 shared categorytechnology-and-computing

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

co-citations how often the same third-party websites link out to both — sites referenced together tend to serve the same world.
shared tech how much of their technology stack (CMS, e‑commerce, analytics, frameworks…) overlaps.
shared category whether they sit in the same business / industry category.
positioning how closely their titles and on‑page wording line up.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.