We had the pleasure of getting to sit down and talk with Denim and DateCoin CEO, Nikita Anufriev, in an exclusive CryptoCurrencyNews.com ‘CCN’ interview.
DateCoin is backed by the Russian dating app, Denim, that holds 700K+ members currently. Anufriev explains the need for the ICO and expansion below.
What is your background? Introduce yourself.
My name is Nikita Anufriev. I am graduate of the Automation and Informatics faculty of the Moscow State Mining University, graduated from the Moscow Institute of Steel and Alloys.
I’ve been doing IT business for 8+ years. For that time I’ve successfully launched and managed several projects, including international online service Denim (one of the market leaders of online dating in Russia), Yasno.mobi Ltd (design and development of websites) and served as financial consultant for some ICOs.
How did you come up with the idea of Denim? Any specific instance or did you just find a need in the market?
(The) Digital paradigm (space) has changed our lives forever, especially being implied (when it comes) to private life and finding a partner. When performing targeted market research, this trend becomes obvious. Some experts expect the total volume of the online dating market will amount to $6 billion by the year 2019.
Thus, it is inevitable that numerous dating services will become highly specific in order to attract a niche target audience.
In 2015 we successfully launched an IT project designed for matching wealthy men and spectacular (beautiful) women. This approach had been in high demand and resulted in a fast-growing audience (700K+ as of now). Today, Denim is the market leader in online dating in Russia with high ARPU.
Wow! Are all 700k users currently active?
Absolutely. Those users are active, meaning all of them signed up, verified an account and are regularly using the app.
How do you use Artificial Intelligence to match couples up? What’s the difference between AI and someone taking a quiz that matches them in other dating apps?
What is the role of artificial intelligence in matching partners? What is so special about this technology compared to others commonly used ones (for instance, setting multiple specific parameters)?
For the majority of dating services, we believe that the key problem is the inability to consider all users’ preferences (to be represented) regarding an ideal partner. Moreover, the user himself is often not sure what he or she wants. Standard parameters (such as looks) are always considered, but others, such as emotions remain almost untuned. For instance, we may base our preferences on a person’s sense of humor, talking manners or even smile. Artificial intelligence can consider all these hidden preferences.
Nowadays, face recognition has advanced significantly being able to detect person mood by a photo. Blended with data clustering, it will help neural networks to solve a multi-parameter problem of finding the best matching partner from millions of users
