We built the full iOS and Android platform — a relationship-focused dating experience with a proprietary compatibility engine that puts values first and photos second.
Industry
Dating & Social
Services
Mobile App, ML Engine, Safety
Year
2024
Business Type
Consumer Startup
200K+
Registered Users
68%
Match Rate
4.4★
App Rating
12K
Relationships Formed
68%
Match Rate
About the Project
DatePalop is a relationship-focused dating platform that prioritises compatibility and meaningful conversation over swipe mechanics — using behavioural matching algorithms and structured icebreaker experiences to foster genuine connections.
We built the full iOS and Android platform with a proprietary compatibility engine — 24 matching dimensions, AI conversation coaching, and safety features that set a new standard for the category.
The Challenge
The dominant dating app model maximises swipes, matches and notifications — but deliberately inhibits actual relationship formation to retain users. Research showed 74% of users felt the apps made finding a genuine partner harder, not easier.
The client wanted to fundamentally flip the model: optimise for relationship success, not app sessions. This required rethinking the matching algorithm, the conversation starter, and every monetisation mechanic from the ground up.
The Problem in Numbers
74%
Users felt apps made finding a partner harder
15%
Average match-to-conversation rate (industry)
3%
Matches that lead to a real-world date
Our Role
Full iOS and Android native-quality app built in React Native with smooth 60fps interactions and offline-first architecture.
Proprietary 24-dimension matching engine using TensorFlow models trained on relationship outcome data, not engagement metrics.
ID verification via Twilio, behavioural anomaly scoring, emergency contact integration and real-time content moderation.
Project Goals
Multi-dimension personality and values assessment replacing photo-first mechanics. Users answer 40 thoughtful questions across values, lifestyle, and communication styles — building a profile that drives matching before photos are ever shown.
AI-suggested icebreakers personalised to shared interests extracted from both profiles. Eliminates the blank-page anxiety of opening a conversation with a match you care about impressing.
ID verification, behaviour scoring, and emergency contact features built into the core — not bolted on. Every user is verified before matching begins. In-app panic button shares location with a designated contact.
In-app tools for couples to mark and celebrate their journey together. First date, first trip, moving in together — DatePalop celebrates the relationship it helped create rather than trying to pull you back in.
We A/B tested showing profile photos first vs values first. The values-first group had 40% more conversations and 3× the meet-up rate. The data made the hard design decision for us.
Apptechies Product Team
DatePalop Project Lead
The Solution
Compatibility scored across 24 dimensions before photos are revealed. Our algorithm weights relationship goals, communication style, life outlook and core values — creating matches with genuine long-term potential, not just aesthetic appeal.
AI suggests topics and icebreakers based on both profiles' shared interests. Powered by our own fine-tuned language model trained on thousands of successful first conversations — it nudges without scripting, giving people the confidence to be themselves.
Gently nudges matched users to suggest a real-world meet after 3 conversations. Suggests date ideas based on shared interests, location and availability — then gets out of the way. Because the goal was never more app time.
Results
200K+ registered users in first 6 months
68% of matches lead to real conversation (vs 15% industry avg)
12,000+ relationships reported via in-app milestone feature
Rated #1 relationship-focused dating app in UK App Store
Technology Stack
More Work
Let's Build Something Meaningful
From zero to launch, we help consumer startups build beautifully crafted products that users actually love — and keep coming back to.
