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The 7 Travel & Hospitality companies that produced the most founders (2026)

A founder factory is a company whose people leave to start companies of their own. This ranks every company in the graph by how many of its alumni — people who founded it or worked there — went on to found at least one company, counting only ventures started no earlier than the company itself.

Refreshed 2026-09-13 · updates nightly
All sectors FintechEnterprise SoftwareArtificial IntelligenceSoftware & ITMedia & EntertainmentConsumerHealthcareCrypto & Web3GamingDeveloper ToolsCybersecurityRetail & E-commerceEducationMarketing & AdvertisingBiotech & PharmaMarketplaceHardware & ElectronicsReal Estate & ConstructionEnergy & ClimateData & AnalyticsAutomotive & MobilityRoboticsAerospace & SpaceLogistics & Supply ChainIndustrials & ManufacturingFood & AgricultureSocialSemiconductorsHR & RecruitingProductivityTelecomTravel & HospitalityLegalConsulting & Services
Founder factories · Travel & HospitalityAlumni who went on to found companiesExpedia: 4 alumni founded 3 companiesExpedia4Navan: 2 alumni founded 2 companiesNavan2TravelPerk: 2 alumni founded 2 companiesTravelPerk2TravelTriangle: 2 alumni founded 2 companiesTravelTriangle2Travelstop: 2 alumni founded 2 companiesTravelstop2TripActions: 2 alumni founded 2 companiesTripActions2Mindtrip: 2 alumni founded 1 companiesMindtrip2
# Company SectorHQFounded Founders Companies started
1 Expedia Travel & Hospitality Seattle, USA 1996 4 3
2 Navan Travel & Hospitality — — 2 2
3 TravelPerk Travel & Hospitality Barcelona, Spain 2015 2 2
4 TravelTriangle Travel & Hospitality New Delhi, India 2011 2 2
5 Travelstop Travel & Hospitality Singapore — 2 2
6 TripActions Travel & Hospitality San Francisco, USA 2015 2 2
7 Mindtrip Travel & Hospitality — — 2 1
How this is counted. A person counts as an alumnus of a company if they founded it or worked there. They count towards the company’s score if they went on to found at least one other company that was started no earlier than the company itself. Universities and other non-commercial organisations are pruned from the graph where we can identify them. Data is community-corrected — fix something.