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Innotech Development — We Build the Product That Takes You to Market — 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 Startups →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
makenoisemedia.io 69 match
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thefounderfit.com 68 match
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1 shared topics
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1kmvp.com 67 match
1 shared topics
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3nd.dev 67 match
1 shared topics
3ND.DEV — We Build Ventures en startups robotsllmsaihumans emailphone none
algobeat.com 67 match
1 shared topics
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makemvpfast.com 67 match
1 shared topics
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clusterx.io 67 match
1 shared topics
Build Your MVP in 3 Weeks | ClusterX United States~ en startups robotsllmsaihumans emailphone none
aljabrmena.com 67 match
1 shared topics
Startup development & Corporate Innovation Oman | Aljabr en startupsWix robotsllmsaihumans emailphone none
4weekstartup.guru 67 match
1 shared topics
About Krishna, AE, & 4WS. — 4WeekStartup: Bootstrapper to Product/Market Fit en startupsSquarespaceMagento robotsllmsaihumans emailphone none
leanlaunchers.com 66 match
1 shared topics
LeanLaunchers | Build your MVP in 6 weeks en startups robotsllmsaihumans emailphone none
voidique.com 66 match
1 shared topics
voidique — product studio en startups robotsllmsaihumans emailphone none
thelaxm.com 66 match
1 shared topics
Founder-Friendly MVP Development & Technology Advisory | Laxm India~ en startups robotsllmsaihumans emailphone partial · 8
thelaunchpadlabs.com 66 match
1 shared topics
Fast MVP Development in 2 Weeks - SaaS & AI | LaunchPad Labs en startups robotsllmsaihumans emailphone none
careerhannah.com 66 match
1 shared topics
Hannah Zhang — Startup marketer, writer, speaker, builder en startups robotsllmsaihumans emailphone none
hellointervool.com 66 match
1 shared topics
Intervool — Customer research that drives product decisions en startups robotsllmsaihumans emailphone none
thejuicycow.com 66 match
1 shared topics
Pierre Sauvignon — Web Entrepreneur with a Product Bias en startupsSpree Commerce 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.