Le Diep Kieu Trang, 1980, is the strategy director of Misfit Wearables, specializing in software and wearable health monitoring devices founded by Sonny Vu, a Viet Kieu (overseas Vietnamese).īefore taking the office as Misfit, Trang worked for HSBC and McKinsey. In 20, the businesswoman was listed among Forbes Vietnam’s and Forbes Asia’s 30 most outstanding faces. In 2014, she was the chair of UNICEF Next Generation with the activities to support children.
She is the founder of Tmspeed Network and. Vy also devotes herself to community activities.
Now Vy works as the CEO of, an e-commerce website belonging to Vingroup. In 2014, Chon.vn received investment from Vingroup. Le Hoang Uyen Vy, 1987, is known as the founder of Aiya! The gioi an vat (noshers’ world) chain in 2009, the founder of Chon Trading (– an e-commerce project specializing in distributing fashion products in 2011. Van said she and her co-workers are working hard to prepare technological infrastructure and workforce to implement the business plans, marching towards the ambitious goal of approaching 1.4 million shop owners nationwide. The firm plans s 200 percent growth rate for 2017 at minimum, while the number of workers would increase to 500. Beautiful, powerful and talented, these young executive officers born in the 1980s have made great contributions to the development of their technology firms.īy the end of 2016, KiotViet, with 400 workers nationwide, had 20,000 customers, which means a 300 percent growth rate.
While most other technology firms target the marketing of sales management software products for large shop chains and supermarkets, KiotViet aims for small shops and sets very reasonable service fees which are just enough to buy one cup of ice tea – VND3,000 a day.
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The other four are also well known names – Hoang Minh Nhat (who won first prize at Masterchef TV show and the owner of Minh Nhat traditional banh my sandwich chain, Nguyen Thi Mai Huong, the owner of Color Pencils, Le Hoang Uyen Vy, CEO of Adayroi and Vu Nguyet Anh, CEO of Rudicaf. To learn more, see the privacy ’s CEO Le Hoang Uyen Vy, KiotViet’s Marketing Director Vu Nguyen Thuy Van, Misfit Wearables’ Strategy Director Le Diep Kieu Trang and Rudicaf’s CEO Vu Nguyet Anh are managing large firms with capital of tens and hundreds of billions of dong.Īt Startup Festival 2016, KiotViet’s Marketing Director Vu Nguyen Thuy Van, born in 1985, was one of five nominated for the Women’s Startup category.
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Special thanks to the contributors of the open-source code that was used in this project: Elastic Search, WordNet, and note that Reverse Dictionary uses third party scripts (such as Google Analytics and advertisements) which use cookies.
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The definitions are sourced from the famous and open-source WordNet database, so a huge thanks to the many contributors for creating such an awesome free resource. In case you didn't notice, you can click on words in the search results and you'll be presented with the definition of that word (if available). For those interested, I also developed Describing Words which helps you find adjectives and interesting descriptors for things (e.g. So this project, Reverse Dictionary, is meant to go hand-in-hand with Related Words to act as a word-finding and brainstorming toolset. That project is closer to a thesaurus in the sense that it returns synonyms for a word (or short phrase) query, but it also returns many broadly related words that aren't included in thesauri. I made this tool after working on Related Words which is a very similar tool, except it uses a bunch of algorithms and multiple databases to find similar words to a search query. So in a sense, this tool is a "search engine for words", or a sentence to word converter. It acts a lot like a thesaurus except that it allows you to search with a definition, rather than a single word. The engine has indexed several million definitions so far, and at this stage it's starting to give consistently good results (though it may return weird results sometimes). For example, if you type something like "longing for a time in the past", then the engine will return "nostalgia". It simply looks through tonnes of dictionary definitions and grabs the ones that most closely match your search query. The way Reverse Dictionary works is pretty simple.
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