RARE: AI Dating Assistant

What it does

RARE is an AI-powered dating assistant designed to help users improve their online dating profiles. Its primary function is to analyze user-uploaded photos, providing feedback on aspects like attractiveness and photo quality. The app also aims to assist with conversations by generating witty pickup lines.

Where it shines

The AI photo analysis is the standout moment. At 01:00, the app provides a transparent, real-time log of its analysis, which builds credibility before showing the final results. The onboarding is also quick and to the point, gathering personalization data at 00:21 without forcing a full, high-friction sign-up process.

UX highlights

The AI analysis log (01:00-01:14) turns a potentially boring loading state into an engaging value demonstration.
Onboarding questions (00:21, 00:31) are framed around user stories and goals, making the process feel more personal.
Clear, tappable buttons for gender and age range selection reduce the need for typing.
The paywall (01:15) uses effective value framing by showing a weekly price for the annual plan, making the cost seem lower.
The design is minimal, using a simple color palette to keep the focus on the content and user tasks.

Monetization & growth

After the core AI analysis is performed, the app presents a hard paywall at 01:15 with two subscription options. It highlights a 70% discount on the annual plan and breaks down the price to a weekly figure to make it seem more affordable. The app also includes a rating warm-up screen (00:38) during onboarding to encourage positive App Store reviews.

Who it’s for

The app appears to be for people active on dating apps who want to optimize their profile photos and interactions. It likely targets users looking for a data-driven edge in their dating life, who are willing to invest in improving their online presentation.

Notes & opportunities

The rating prompt at 00:38 appears before the user has experienced the core AI feature, which feels premature. Showing the prompt after a user receives their first positive analysis might yield better results. Additionally, the direct jump to the system's App Tracking Transparency prompt at 00:19 without a warm-up is a missed opportunity to explain the value of allowing tracking.