Piperic Business Intelligence

similar sites

Sites similar to datalust.co

Seq — centralized structured logs · ranked by category · tech stack · backlink co-citation

manifoldstudio.app

Manifold Studio - Bulk Upload & Website Automation

2 co-citations2 shared tech2 shared categorytechnology-and-computing

2 co-citations2 shared tech2 shared categorysoftware-and-applications

Matsvei Liapich

2 co-citations2 shared tech2 shared categorysoftware-and-applications

Anuj Tirkey - Android Developer & Jetpack Compose Expert

2 co-citations2 shared tech2 shared categorysoftware-and-applications

M.Gökay Borulday | Software Developer

2 co-citations2 shared tech2 shared categorysoftware-and-applications

feedbackbin.com

Open-source customer feedback management platform | FeedbackBin

2 co-citations2 shared tech2 shared categorytechnology-and-computing

aetherionresearch.com

Aetherion Research

1 co-citations2 shared tech2 shared categorysoftware-and-applications

Home — Appology

1 co-citations2 shared tech2 shared categorysoftware-and-applications

Home — Appology

1 co-citations2 shared tech2 shared categorysoftware-and-applications

ccflare - The Ultimate Claude Code Proxy for Power Users

1 co-citations2 shared tech2 shared categorysoftware-and-applications

Boyd Dames - Fullstack Webdeveloper

2 co-citations3 shared tech0 shared categoryweb-development

2 co-citations2 shared tech1 shared categoryweb-development

jasengarcia.com

Jasen Garcia | Software Engineer

1 co-citations2 shared tech2 shared categorysoftware-and-applications

1 co-citations2 shared tech2 shared categorysoftware-and-applications

joaomiguelrosa.com

João Miguel Rosa — Software & Systems Engineer

1 co-citations2 shared tech2 shared categorytechnology-and-computing

Corastate — Device health across every endpoint tool

1 co-citations2 shared tech2 shared categorytechnology-and-computing

Kymeron - Multiple Powers. One Platform.

2 co-citations2 shared tech2 shared categoryartificial-intelligence

2 co-citations2 shared tech2 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.