CityFALCON: Over 4 Million Dollars

About the Client

CityFALCON is a 21st-century financial news aggregator that provides a comprehensive, relevant, personalized, and real-time news feed for fundamental investors, powered by crowd-curation, social media, and machine learning.

Using Natural Language Processing and E-learning, CityFALON creates a personal news feed based on a person’s profile, online interaction, preferences. For instance, customers get 30 relevant stories out of a selection of 200.

Project Goals

The Client met Sloboda Studio at the very early stages of the project, and we’re happy to say we’re still working on CityFALCON’s development and growth. The story started when Ruzbeh Bacha, а former Skype employee, decided to create a financial news website. Then our future client studied Ruby and developed the CityFALCON’s MVP himself. But in time he decided that the project requires more scalability and started looking for new developers. So then we did find each other.

Our client wanted to launch a new and improved MVP with a focus on clean and simple UX to demonstrate the huge potential of his Social Media Aggregator.

It aimed to democratize the financial news industry and “Bring Bloomberg to the consumer”, giving all investors and traders equal access to financial information. As an innovative product, it posed many challenges that required flexibility and super-efficient solutions.

Results

Real-time word processing – each new article appears in our feed and side resources (Twitter, any RSS, etc.) at the same time. The delay is around 20 seconds.

API – so that other sites can use our information and share CityFALCON’s articles 24 servers make up the infrastructure.

We developed a CityFALCON scoring algorithm to identify relevant & personalized financial content. The algorithm leverages AI and crowd-curation.

3 voice assistants – using machine learning for big data and text processing, we integrated Voice Assistant support (Amazon Alexa, Google Home, Microsoft Cortana).

Technologies Used

Ruby on Rails, React, PostgreSQL, Grape

Team

4 Developers, 1 QA, 3 Designers, 4 Financial Analytics