About Gaianet
facilitation, culture building, collaborations, organizational support, connecting, networking, ecosystem mapping, mapping, network tooling, community building, cocreation, consulting, selforganization, weaving, non-profit organizations, collaborative networks, interoperability, social advocacy organizations, environmental services, purposeful co-creation
Gaianet's Tech Stack
Decision Makers at Gaianet
1 contactAlexander Keehnen
Co-Founder
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Gaianet's Position in the StackWho Database
- • Gaianet is 1 of 6,988 nonprofit organization management companies tracked in StackWho.
- • 6,976 nonprofit organization management companies in our database have verified decision-maker emails (100% of the cohort).
- • 4,069 companies in North Holland are in the StackWho database.
- • 2,604 nonprofit organization management companies are in the 1-10 employee range (same size as Gaianet).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.
Frequently Asked Questions
What technology does Gaianet use?
Gaianet uses Google Tag Manager, Typekit, Google Analytics, Hotjar, Vimeo. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Gaianet?
StackWho has verified email addresses for 1 decision maker at Gaianet. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Gaianet directly for sales, recruiting, or partnerships.
What industry is Gaianet in?
Gaianet operates in the nonprofit organization management industry, headquartered in Amsterdam, North Holland, Netherlands. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Gaianet's contact data?
Yes. StackWho Pro members can export decision maker contact data for Gaianet and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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