Blitzy

Matching users by location and needs

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As many could already guess from the caption, Blitzy is a platform that matches its users basing on where they are located and on what they need or offer. 
I guess the question many could ask is: why another platform like this if there are already others? Lets' see some peculiar Blitzy features:

Blitzy is a chatbot (at moment hosted in Telegram, a more messaging platform to come). The conversational interface is proven to be easier to adopt than native apps with proprietary GUIs, it's perfect for smartphones, already known by anyone and allows users to share any kind of content. 

No need to go through the installation process, messaging apps like Telegram are very popular and already installed on users devices. In this case, it takes just a few seconds to start Blitzy for the first time. 

No fear that Blitzy can peep data from your phone or its sensors, it's safely running in a well-known context. 

You can update your position in 3 ways: writing an address as text, tapping a point on the map or using your GPS. Automatic, continuous position update through GPS is not mandatory, although available through the new telegram live locations feature. You have many choices on how and when updating your position. A big relief for the battery and your privacy. 

Other users cannot see you, it's Blitzy that does the match, more privacy details on the web page. 

Matching is based on location, distance, and categories of interests. 

You can create your own platform using custom categories. If you have a large user group and you want a platform that matches instant messages based on user location you can build it easily on top of Blitzy, separated from standard users. Use cases could be delivery services, traffic info or sports that involve moving (cycling, fishing, sailing...) and many others. 

The platform backend is built using microservices and cloud computing. While minimal resources are allocated for this early version, this gives a great potential to scale. The matching algorithm is very fast, thanks to partitioning and indexing. 

Soon we will introduce rewards between users, most probably with cryptocurrencies

1 Reviews of Blitzy

Niki Niki PRO Nov 30, 2017

I think its a very interesting idea, which will attract many people!

As many could already guess from the caption, Blitzy is a platform that matches its users basing on where they are located and on what they need or offer. 
I guess the question many could ask is: why another platform like this if there are already others? Lets' see some peculiar Blitzy features:

Blitzy is a chatbot (at moment hosted in Telegram, a more messaging platform to come). The conversational interface is proven to be easier to adopt than native apps with proprietary GUIs, it's perfect for smartphones, already known by anyone and allows users to share any kind of content. 

No need to go through the installation process, messaging apps like Telegram are very popular and already installed on users devices. In this case, it takes just a few seconds to start Blitzy for the first time. 

No fear that Blitzy can peep data from your phone or its sensors, it's safely running in a well-known context. 

You can update your position in 3 ways: writing an address as text, tapping a point on the map or using your GPS. Automatic, continuous position update through GPS is not mandatory, although available through the new telegram live locations feature. You have many choices on how and when updating your position. A big relief for the battery and your privacy. 

Other users cannot see you, it's Blitzy that does the match, more privacy details on the web page. 

Matching is based on location, distance, and categories of interests. 

You can create your own platform using custom categories. If you have a large user group and you want a platform that matches instant messages based on user location you can build it easily on top of Blitzy, separated from standard users. Use cases could be delivery services, traffic info or sports that involve moving (cycling, fishing, sailing...) and many others. 

The platform backend is built using microservices and cloud computing. While minimal resources are allocated for this early version, this gives a great potential to scale. The matching algorithm is very fast, thanks to partitioning and indexing. 

Soon we will introduce rewards between users, most probably with cryptocurrencies

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