Dating apps exist far and wide, but they share one common problem; you got no idea who you're going on a date with!
Our client wanted a dating app where-by users could match based on their personalities, likes, and opinions.
We'll build the app in five weeks at high-quality with all the features needed to be market-ready. We'll offer a hefty discount for a 3% stake since we love the concept.
We delivered a great looking app that scales automatically. It can compare millions of users with 100s of questions across a geolocation field.
Users get asked 4-7 questions per day, so we steadily learn about them. The more answers they submit, the higher-quality matches.
The app also has instant messaging, Facebook login with automatic user profile photos, video user profiles, gif-maker, push notifications, and much more. The app is GDPR friendly; the user's data is secure and can be deleted anytime with a few taps. The APIs also use machine learning to detect dodgy content and potential security problems.
We decided to hire five designers for a 'try-out' to make a few screens each and then pick the best style that our clients loved.
We used a custom ElasticSearch implementation for matching technology. This allows us to scale to millions of users while still giving a rapid response time, allowing users to see matches in milliseconds, even if millions of potential partners are around them.
We used a few different technology stacks to deliver and serve the platform; to test, we created 1 million fake user profiles with random questions/answers profile data. We then hired 30 temp QA engineers to try and break the app and get feedback.
This resulted in a bulletproof app that can confidently scale from day one with a 99.999% SLA.
The app was approved for both Apple and Google Play with no hiccups. Right now, it's about to go through some heavy marketing provided by us.
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