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After several roadtrips both around the UK and continental Europe, I realised that much remained to be done to help drivers identify great public charge points and ensure that drivers feel comfortable using them. With a colleague we started Electro Ventures, to provide an unbiased source of information about charge points and ensure that drivers can quickly and efficiently identify the right charger for them given their unique requirements.
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App for electric vehicle drivers
Hello! My name is Piotr and I would like to launch an app for electric vehicle drivers. The app will enable drivers to easily rank and compare public electric vehicle charge points based on driver priorities and the experience they want. Whether this is absolute recharging speed or the presence of certain amenities, the goal is to quickly find and rank stations based on the requirement. For example if you would like to visit a Starbucks or a Costco during charging we will find the chargers near you or at your expected charging stop which have these amenities and brands nearby. Or if you would like to avoid chargers in isolated or dodgy locations when recharging alone at night we can also help. Would any of you be interested in trying the app and leaving some comments? Please let me know. I will then be in touch before we launch here. We have coverage in the US and UK. It is possible to download the app from our website www.electro-app.com and any comments you have about the app and how it works would be super useful! Some more info below: The reason why I think such functionality matters is that it can easily take 30 minutes to charge even on the highest powered electric vehicle chargers, and no in person support is present at charging stations. Thus the environment at electric vehicle stations matters a lot more than at gasoline stations and you might as well spend the extra time doing something else than just sitting in the car. We use OpenChargeMaps data for charge point locations and we will send OpenChargeMaps data on new chargers added via the app to contribute to the community! We also use crowdsourced data to power a machine learning model which predicts how busy charge points are expected to be.
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