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Gamihacks alternatives & similar sites

GamiHacks — 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 Programming Languages →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
mchacks.io 71 match
1 shared topics
McHacks en programming-languages robotsllmsaihumans emailphone none
bellhacks.com 66 match
1 shared topics
Bellhacks 3.0 en programming-languages robotsllmsaihumans emailphone none
wolverinehacks.org 64 match
1 shared topics
Wolverine Hacks 2026 United States~ en programming-languages robotsllmsaihumans emailphone none
windycityhacks.com 64 match
1 shared topics
Windy City Hacks – Chicagoland’s high school hackathon United States~ en programming-languages robotsllmsaihumans emailphone none
acadehack.org 63 match
1 shared topics
AcadeHACK 2025 en programming-languages robotsllmsaihumans emailphone none
acehack.ing 63 match
1 shared topics
Ace Hacker - Write Great Code en programming-languages robotsllmsaihumans emailphone none
stackscholar.com 62 match
1 shared topics
StackScholar - Know Tech & Stay Ahead en programming-languages robotsllmsaihumans emailphone none
100daysofswift.org 62 match
1 shared topics
100 Days of SwiftUI – Hacking with Swift en programming-languages robotsllmsaihumans emailphone none
cstutors.org 62 match
1 shared topics
Discover the Real Excitement of Computer Science – Alpharetta and Surrounding Areas United States~ en programming-languages robotsllmsaihumans emailphone none
whatsnewinswift.com 62 match
1 shared topics
What’s new in Swift? en programming-languages robotsllmsaihumans emailphone none
startc.org 62 match
1 shared topics
CHOCOPYthon for beginner en programming-languages robotsllmsaihumans emailphone none
4kids.dev 62 match
1 shared topics
4Kids.Dev — Data Skills for the Next Generation en programming-languages robotsllmsaihumans emailphone none
dcodestem.com 61 match
1 shared topics
DcodeSTEM - Coding | Folsom | Music | Java | C++ | Machine Learning en programming-languagesWix robotsllmsaihumans emailphone none
neocaml.org 61 match
1 shared topics
neocaml en programming-languages robotsllmsaihumans emailphone none
stevetomgray.com 61 match
1 shared topics
Home | Steve Gray en programming-languages robotsllmsaihumans emailphone none
easypythondocs.com 61 match
1 shared topics
Easy Python Docs — Easy Python Docs 3.5 documentation en programming-languages robotsllmsaihumans emailphone none
kevinastone.com 61 match
1 shared topics
Home | Kevin Stone en programming-languages robotsllmsaihumans emailphone none
mazen.fyi 61 match
1 shared topics
Mazen Amr en programming-languages 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:

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.