In-house product
AtypikLove
A dating platform designed for neurodivergent people.
- Type
- Dating platform
- Year
- 2026
- Role
- Product, UX/UI, development, infrastructure and launch, solo

01 The intent
Making clarity part of the product.
Mainstream dating apps rarely account for the communication, clarity and safety needs expressed by neurodivergent people. AtypikLove explores a more suitable, explicit and caring experience.
Protecting members without blocking conversations: a social platform has to filter problematic content while keeping exchanges natural, and connect discovery, matching and messaging in one clear flow.
The approach
A Next.js and TypeScript foundation, Supabase for authentication, profiles, matching and messages, and AI moderation of text and images as a first barrier. Labels and steps are made explicit to limit ambiguity.
02.1 Discover your own way
Different views, familiar landmarks.

Discovery brings together a grid, a profile-focused view and a map. Filters stay in the same space. Members can choose a presentation without learning a different navigation for every screen.
Profile cards keep key information easy to scan. The layout separates new members from general discovery and retains direct access to the rest of the product.

02.2 Make actions meaningful
One profile at a time, explicit choices.

The individual view gives a person’s introduction more room. Actions rely on more than icons: they have labels, distinct areas and a clear place below the profile information.
This interface is part of a wider product. Accounts, matching and messages share the same technical foundation, connecting discovery to conversation within one environment.
03 The delivery
The outcome
A product designed and built solo, from its identity to launch. AtypikLove combines the foundations of a social platform: accounts, profiles, discovery, matching, messages and an initial layer of automated moderation.
A recognisable experience
A warm palette, editorial typography and consistent interface landmarks across screens.
A complete journey
Authentication, profile data, affinities and conversations share a common foundation.
Built-in moderation
Automated text and image analysis provides an initial barrier for conversations and posts.
Technical sheet
- Client
- In-house product
- Stack
- Next.js · TypeScript · Supabase · Vercel · Modération IA
Expertise behind the project