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Valayam Ventures – Startup Consultant for MSME’s — 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 Management Consulting Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sanithaalam.com ↗	68 match 2 shared topics	Sanitha Alam \| Entrepreneur, Startup Consultant & Fractional COO	ES~ en	startups	robotsllmsaihumans	emailphone	none
4solutionsnow.com ↗	67 match 2 shared topics	Startup Consulting - 4 Solutions Now	en	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
usesignalshift.com ↗	67 match 2 shared topics	SignalShift \| GTM & Growth Consultancy for Startups	en	startups Wix	robots llmsaihumans	emailphone	none
aye2zeegroup.com ↗	67 match 2 shared topics	Aye2Zee Consulting \| Startup Scaling	en	startups Wix	robots llmsaihumans	emailphone	none
lucidstartupconsulting.com ↗	66 match 2 shared topics	Research, Strategy, and Vision for Startups \| Lucid Startup Consulting	US~ en	startups	robots llmsaihumans	emailphone	none
downstreaminnovation.com ↗	66 match 2 shared topics	Innovation Consultancy for startups, enterprises and universities.	en	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joshienterprises.com ↗	66 match 2 shared topics	Joshi Enterprises \| Venture Consulting for Founders	en	management-consulting-industry	robotsllmsaihumans	emailphone	none
arturpartners.co.uk ↗	66 match 2 shared topics	Artur Partners - Sales Consultancy for Tech Startups \| Artur Partners	GB en	management-consulting-industry	robotsllmsaihumans	emailphone	none
avendavi.com ↗	66 match 2 shared topics	Avendavi \| Consulting, Development & Ventures	en	startups	robotsllmsaihumans	emailphone	none
upwardvx.com ↗	66 match 2 shared topics	Upward Ventures — Results as a Service	en	management-consulting-industry	robotsllmsaihumans	emailphone	none
federiconigro.com ↗	66 match 2 shared topics	Federico Nigro \| Boutique Growth Consultant for Founders with Traction	US~ en	management-consulting-industry	robots llmsaihumans	emailphone	none
nateritter.com ↗	66 match 2 shared topics	Nate Ritter - Startup Mentor & Fractional CTO \| North Idaho Business Consultant	US~ en	management-consulting-industry	robots llmsaihumans	emailphone	none
useavvale.com ↗	65 match 2 shared topics	Startup Business Consultants \| Business Plans & Pitch Decks \| Avvale – AVVALE	en	management-consulting-industry Shopify	robots llmsaihumans	emailphone	none
accountingavvale.com ↗	65 match 2 shared topics	Startup Business Consultants \| Business Plans & Pitch Decks \| Avvale – AVVALE	en	management-consulting-industry Shopify	robots llmsaihumans	emailphone	none
suzedowling.com ↗	65 match 2 shared topics	Suze Dowling DTC Expert \| DTC branding Expert \| Start-up Business Consultant	en	startups	robotsllmsaihumans	emailphone	none
joetiza.com ↗	65 match 2 shared topics	Joe Tiza – Entrepeneur \| IT Consultant \| Author \| Podcaster	en	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
castoreconsulting.com ↗	65 match 2 shared topics	Castore Consulting \| Strategy Consulting for Start-ups	en	startups Wix	robots llmsaihumans	emailphone	none
aydeebee.com ↗	65 match 2 shared topics	AYDEEBEE — Strategic Consulting for Startups, Founders & Growing Businesses	en	management-consulting-industry 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.