Wikipedia:ClickDate

Clickdate (styled ClickDate) is an online dating website launched in 2017. Clickdate is based in Glandale, California.

ClickDate is an online matchmaking website and app launched in 2017. It operates in nine countries (US, Brazil, India, Mexico, France, Nigeria, Portugal, Spain, UK) and is available in 4 languages (English, Portuguese, French, Spanish). For now, ClickDate is available on iOS and the web. ClickDate offers smart matching technology by analyzing every click, preference, and statistic. By combining behaviorism with artificial intelligence (AI) principles, ClickDate learns what you are looking for in a relationship.

History
ClickDate was founded in 2017 by Aram Hakobyan and Vahe Sahakyan. Till the 2019 the team was working on a back-end framework, researches, and analysis of the market. In November 2019 Beta version for 8 branches in 5 languages was ready. The community of ClickDate includes singles from the U.S., Brazil, Mexico, France, the U.K., Spain, Portugal, India, and Nigeria.

Features and Methodology
ClickDate is a new dating site and app on a mission to create smarter matches and make online dating fun again. It has dispensed with lengthy dating profiles and endless Q&As in favor of a more intuitive, tech-powered system. AI based matchmaking algorithm as an Innovation in the dating industry, has developed a knack for identifying personal dating preferences based on user behavior taken into consideration Behaviorism as a systematic approach to understanding the behavior of humans. Every swipe, click, and match on ClickDate provides insight that makes it a more efficient tool for finding a compatible date.

The ClickDate team has given standard matchmaking an upgrade and empowered online daters to mingle with more promising matches. At the end of 2019 first beta for the iOS application was released. Starting from November 2020 ClickDate was fully live and now has more than 150.000 registered users. It takes less than five minutes to create a dating profile on the ClickDate platform, and the matching algorithm identifies compatibility based on each click.

Behavioural matchmaking and AI
ClickDate keeps things simple for the users. Instead of asking users to describe in detail what they want, ClickDate has implemented a Behavioral matchmaking system that learns what people like by analyzing who they like. The first step of matching process happens during registration when users choose partner based on photos that they like, and they are matched based on facial preferences. The system does not make matches by finding two people who are 100% alike. ClickDate suggests matches with positive differences and traits that complete each other. Once a match has been established, ClickDate users can start chatting and using special features without limitation through the site or app. There is no time limit for online conversations; however, the platform will suggest users to set up the first date after they've been chatting for a good while. By analyzing behavior and relations between users, the system knows when matches are ready for the first meeting!

Methodology

 * Behavioral matchmaking system that learns what people like by analyzing who they like, Instead of asking users to describe in detail what they want.
 * Matched based on facial preferences
 * Every action and simple click the user takes can actually improve his or her match list.

Features

 * Users guidance on steps to be taken for having perfect date and scheduling date to go out with partner, if both parties reach certain level in their relationship. Application hint users what actions should be taken to reach "ready to date" status with partner, and as soon as the status is reached users can create the invitation, pick preferred time and venue for dating. Users who have matched and started chatting would receive deals and have an added incentive to arrange a meetup.
 * Discovery: Another feature, where users swipe right (yes), up(maybe) or left (no) on partners who have the user in their matchlist.

ClickDate verifies the identity of its members through social media and all users are passing manual verification and approval process