MeetnGreetMe was designed to make travel experience a really personalized experience around the world and help travelers save their valuable time while outsourcing travel related tasks to dedicated and trustworthy local people.
MeetnGreetMe marketplace has been operating for more than a year so it had time to prove that smart decentralization is the only way to develop a peer-to-peer marketplace keeping a rational balance between input and output in terms of limited resources.
The MeetnGreetMe mission is to let everyone access all the benefits of personalized approach to their travel needs while supporting local businesses and communities to market their services and products at fair costs.
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- MeetnGreetMe Idea
- Proof of concept: Global Entrepreneurship Summit in Morocco; SXSW, Austin,TX; ProductHunt. Media coverage by recognised media like Business Insider, CoFounder, Go Europe etc.
- Incorporation in Estonia and residence in Business Incubator of the High Tech Park.
- Launch of a fully operational platform with payments, growth of the global community.
- MeetnGreetMe first customers - individuals and delegations; getting first revenue.
- UN recognition in Travel and Hospitality category, presence in 200 cities around the world.
- The Blockchain experts joined our team.
- ICO: to turn MeetnGreetMe into a solution which changes a way people approach the process of arranging their travel related activities, MeetnGreetMe will launch pre-ICO in December.
- Community development: decentralized curation strategy; messenger for iOS; P2P payment system; advanced CRM; community trained to pursue decentralized curation; Marketing/PR activities for new key cities.
- Platform growth. Partnership and expansion in new cities: role and location based database of partners introduced; new partners in new cities; advanced tools for managing MeetnGreetMe profiles; sophisticated matching mechanism developed; new key cities added.
- Smart contracts for decentralized curation integrated. Functionality for advertising introduced.
- Further scaling and machine learning: expansion of services, big data preparation, testing entering new markets, scaling algorithms.
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