GetNinjas

GetNinjas charges professionals a flat fee to unlock contact details for a specific service request, a model closer to lead generation than a commission-based marketplace. Professionals purchase in-app credits, and each credit spent gives them the ability to contact a potential client and submit a quote. This structure keeps the consumer experience free of platform fees while letting the company recognize revenue before any service is actually performed, shifting fulfillment risk onto the independent provider.

The platform lists more than 500 service categories ranging from electricians, painters, and domestic cleaners to private tutors, bartenders, and pet walkers. The firm's own navigation surfaces 'Diarista' (housekeeper), 'Marido de aluguel' (handyman), 'Pintor' (painter), 'Encanador' (plumber), and 'Montador de Móveis' (furniture assembler) as its most-frequented requests, consistent with high-frequency home-maintenance demand in Brazilian cities.

According to operational data disclosed on the company's website, GetNinjas is live in more than 3,000 Brazilian municipalities and has not yet publicly announced geographic expansion outside Brazil. Its market remains domestic, focused on a service economy that is highly fragmented and still largely offline. No international subsidiaries or foreign-language versions of the platform have been disclosed.

Eduardo L'Hotellier founded GetNinjas in 2011 to solve the persistent inefficiency in how Brazilians find reliable, vetted help for everyday tasks. Rather than building a vertically-integrated service operation, L'Hotellier designed the firm as a technology layer that enables simple posting, quoting, and introduction — leaving the legal and operational burden of fulfillment with the independent professionals on the supply side.

GetNinjas markets the concept of connecting consumers to 'profissionais confiáveis' (trusted professionals), but no detailed manual underwriting process is publicly documented. The firm appears to rely on a user-rating system, in-app professional profiles, and the self-correcting nature of a marketplace where poor evaluations reduce future lead acquisition. The company does not employ workers directly, nor does it claim to run formal background checks at point of onboarding.