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Sites similar to mini-inter.net

Mini Inter alternatives & similar sites

GitHub - nsg-ethz/mini_internet_project: The official repository of the mini-Internet exercise. · GitHub — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
minecraftschemas.net ↗	65 match 2 shared topics	GitHub - Blockception/Minecraft-bedrock-json-schemas: The JSON validation schema files for Minecraft bedrock · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
minecraftschemas.com ↗	65 match 2 shared topics	GitHub - Blockception/Minecraft-bedrock-json-schemas: The JSON validation schema files for Minecraft bedrock · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mdstresslab.org ↗	64 match 2 shared topics	GitHub - nikhil-admal/mdstresslab: MDStressLab in C++ · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
probablyusefulsomeday.com ↗	64 match 2 shared topics	Probably Useful Someday \| A friendly corner of the internet for programming insights, consulting experiments, and the occasional random thought. Because sometimes the best ideas are the ones you save for later.	en	programming-languages	robotsllmsaihumans	emailphone	none
cbml.org ↗	64 match 2 shared topics	GitHub - jawalsh/cbml: Comic Book Markup Language · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
cubiquity.net ↗	64 match 2 shared topics	GitHub - DavidWilliams81/cubiquity: Cubiquity is an experimental micro-voxel engine written in C++ and released into the public domain. · GitHub	en	programming-languages Drupal	robotsllmsaihumans	emailphone	none
alt-java.dev ↗	63 match 2 shared topics	alt-java · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
mauriciofauth.com.br ↗	63 match 2 shared topics	MauricioFauth (Maurício Meneghini Fauth) · GitHub	Brazil en	programming-languages	robotsllmsaihumans	emailphone	none
milles.io ↗	63 match 2 shared topics	totti288 (Torsten Milles) · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
millerman.dev ↗	63 match 2 shared topics	amillerman (Alex Millerman) · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
gleissner.uk ↗	63 match 2 shared topics	chrisgleissner (Christian Gleissner) · GitHub	United Kingdom en	programming-languages	robotsllmsaihumans	emailphone	none
ichorio.com ↗	63 match 2 shared topics	Jezza (Jezza) · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
castleproject.org ↗	63 match 2 shared topics	Castle Project	en	programming-languages	robotsllmsaihumans	emailphone	none
trevorturk.com ↗	63 match 2 shared topics	trevorturk (Trevor Turk) · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
iaxoma.com ↗	63 match 2 shared topics	staticmesa (J K Rodgers) · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
prohjectmanager.com ↗	63 match 2 shared topics	pROHgrammer	en	programming-languages	robotsllmsaihumans	emailphone	none
prohgrammer.com ↗	63 match 2 shared topics	pROHgrammer	en	programming-languages	robotsllmsaihumans	emailphone	none
brianpos.com ↗	63 match 2 shared topics	using Hl7.Fhir; – Making FHIR work in your projects with minimal effort, and maximum conformance	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.