Kaïs w Laïla: Dating App for Serious Relationships
Imad Dhin
Project Summary: Kaïs w Laïla
Project Name: Kaïs w Laïla
Platform: Mobile (iOS & Android)
Category: Dating & Social Networking (Serious Relationships)
Region: Global (Originally Morocco & North Africa)
1. Executive Overview
Kaïs w Laïla is a culturally tailored mobile application designed to solve the modern dating crisis. Unlike market incumbents like Tinder or Bumble, which often facilitate casual encounters ("hookup culture"), Kaïs w Laïla was engineered with a singular mission: to facilitate serious, long-lasting marriages and partnerships.
The project distinguished itself through a rigorous psychological approach to matchmaking and a high-fidelity technical architecture that bridges native performance with cross-platform flexibility.
Expansion & Reach: Starting in Morocco, the application successfully established a stronghold in the local market before continuously expanding its services to Arabic-speaking countries and worldwide, catering specifically to communities seeking partners with shared cultural values regardless of their location.
Core Value Proposition
"Kill the cat since day one": A philosophy centered on transparency and intent, eliminating ghosting and "games."
Psychology-First Matching: Matches are not based on superficial swipes but on deep compatibility derived from expert-designed questionnaires.
Cultural Relevance: Specifically designed for the Arab-Muslim context, prioritizing safety, privacy, and verified profiles.
2. Technical Architecture
The application utilized a cutting-edge, hybrid technical stack designed to maximize performance on Android while maintaining development velocity across platforms.
The Hybrid Frontend Strategy
The app employed a unique dual-framework approach:
React Native: Served as the backbone for cross-platform logic, navigation, and standard UI components, ensuring feature parity between iOS and Android.
Jetpack Compose (Android Integration): To differentiate the Android experience, the team integrated Jetpack Compose for high-performance UI layers. This allowed for:
Smoother, native-speed animations on the diverse range of Android devices found in the target market.
Modern, declarative UI patterns for complex interactive elements (like the questionnaire interface) that required superior responsiveness compared to the standard React Native bridge.
The Machine Learning (ML) Engine
The heart of the application is its proprietary matching system, which moved beyond simple location/age filtering.
Input Data: Users complete a comprehensive questionnaire (approx. 80 questions) covering values, personality traits, and future aspirations.
ML Algorithm: A Python-based Machine Learning model analyzes this data to create a multi-dimensional "Psychological Profile."
Matching Logic: The algorithm computes a compatibility score between users, automatically fetching and prioritizing profiles that align psychologically rather than just physically. This system learns from user interactions (successful matches vs. blocks) to refine future suggestions.
3. Product Features & User Experience
The "Serious" Workflow
Onboarding & Verification:
Manual profile verification via facial recognition to ensure 100% authenticity.
Strict "No Fake Profiles" policy to build trust.
The Questionnaire:
A mandatory, in-depth psychological assessment designed by human resources and psychology experts.
Questions focus on deep values: family views, financial habits, emotional intelligence, and life goals.
Discovery & Matching:
Users do not see random profiles. They are presented with a curated list of "High Compatibility" matches.
Blind features: Emphasis is placed on profile content/text before images in specific modes to encourage reading over looking.
Premium Monetization:
Unlimited Likes: Removing daily caps for active users.
Profile Boost: Higher visibility in the matching queue.
Rewind: Ability to undo a "Pass" action.
Worldwide Discovery: Allowing users to find partners in the diaspora.
4. Market Position vs. Competitors
The application differentiates itself from major global competitors (such as Tinder or Bumble) through several key pillars:
Primary Goal: While competitors often facilitate casual dating and hookups, Kaïs w Laïla focuses exclusively on serious relationships and marriage.
Matching Basis: Instead of swiping based primarily on location and photos, matches are generated via a Machine Learning algorithm based on psychology and values.
Verification: Verification is mandatory and manual on Kaïs w Laïla to ensure safety, whereas it is often optional or loose on other platforms.
Cultural Fit: The app is designed specifically for Moroccan and Arab-Muslim values, contrasting with the Western-centric approach of global apps.
Tech Focus: It utilizes a specialized Hybrid stack (Compose + React Native) for optimized performance, unlike standard native or hybrid implementations found elsewhere.
5. Summary of Achievements
Global Expansion: Successfully scaled from a local Moroccan launch to a pan-Arab and worldwide user base.
Algorithm Deployment: Successfully launched the ML-based compatibility scoring system, reducing "bad date" reports by filtering mismatched intent early.
Hybrid Integration: Successfully merged Jetpack Compose views into the React Native shell, stabilizing performance on lower-end Android devices common in the region.
Brand Trust: Established a reputation as a "safe space" for women to date online, due to the high barrier to entry (lengthy questionnaire) deterring non-serious users.
6. Download & Availability
Google Play Store (Android): Download Link
Apple App Store (iOS): Download Link
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Posted Dec 2, 2025
Developed Kaïs w Laïla, a culturally tailored dating app for serious relationships with an ML-based matching system.
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Timeline
Nov 5, 2021 - May 2, 2022
