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Pellucid water brew accelerator code#
Pellucid water brew accelerator free#

Ijinus, Matthew Urvoy-A French company that offers autonomous ultrasonic level sensors.

Wellntel, by Marion Singer and Nick Hayes-A real-time understanding of well and surrounding water table dynamics, provided through constant measuring and reporting of water levels on a private website or app.ĭue to overwhelming interest, three Honorable Mentions have been recognized as well:

Water Hub, by Sunit Mohindroo and Ahmad Badruddin-From Toronto, is a data and analytics company that delivers actionable intelligence for municipal, industrial, and agricultural water sectors to enable faster, more confident decision-making.

phinding Solutions, by Zach Munns, Brad James and Founder Nick Jones-A biotechnology water company that wirelessly measures and transfers the ionic levels of water, through a patent pending technology, improving productivity while reducing associated costs.

Eric James and Kashif Hasnie-A patented water sterilization device that uses UV light to eliminate bacteria, viruses and protozoa from freshwater sources. Sorin Monolache and Mark Raabe-Out of UW-Madison, focuses on decontamination of water through its unique application, they are able to remove dissolved chemicals from water and other solutions.

Cadens, by Randy Mueller - A Wisconsin-based company that assists in the design, manufacture, installation and operation of economical small and micro-scale hydropower systems.

After a comprehensive application and judging process, six entrepreneurs and their respective businesses were chosen to participate in the second year of the accelerator program, they are: In Wisconsin., is the only mentor driven seed accelerator program solely focused on solving freshwater issues with innovative startups producing cutting-edge technology. Launched in 2013, The BREW accelerator program also graduated the first round of entrepreneurs during a special program during day two of the summit. Scott Walker announced the winners of Batch II of The BREW accelerator program.

To learn more, see the privacy policy.During the 7th annual Water Summit, The Water Council and invited Guest of Honor Wisconsin Gov.

Pellucid water brew accelerator code#

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.

Pellucid water brew accelerator free#

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.