Case Study
Flirt Experience-Based Dating App
4.7
public App Store rating
337
public App Store ratings
2022
public iOS launch year
Product experience
Swipe on dates, rank matches, and confirm real plans
Flirt differentiates the dating flow by centering the user experience around date ideas instead of profile-only swiping. The app moves users from discovery to ranked preferences, confirmed dates, chat, feedback, and safety workflows.
01
Date-first discovery
Users browse curated date ideas with a time, place, and activity context rather than starting only from profile cards.
02
Ranked preferences
The ranking system lets users prioritize the matches and date ideas they are most excited about.
03
Confirmed-date flow
The app reveals confirmed dates the night before, then opens the path to chat and finalize plans.
Product workflow
Step 1
Step 2
Step 3
About the product
A dating app built around shared experiences
Flirt is a consumer dating app with the public positioning "Swipe on Dates, Not People." Instead of making discovery depend only on profile browsing, the product centers the experience around curated date ideas, ranking, confirmation, feedback, and community trust.
Business context
Consumer dating needs differentiation and operational depth
A dating app has to feel simple on the surface while coordinating complex product flows underneath: matching, chat, payments, subscriptions, media uploads, notifications, moderation, safety, and retention loops. Flirt also needed a distinctive product mechanic that could stand apart in a crowded category.
The challenge
Build a real-world date flow, not just another swipe deck
The app needed to support date discovery, ranked preferences, confirmed-date notifications, post-date feedback, paid tickets, subscriptions, and safety workflows while remaining responsive and app-store ready.
- Support date-idea discovery with time, place, activity, and profile context.
- Coordinate matching and ranking workflows without making the UX feel heavy.
- Trigger timely notifications, including confirmed-date experiences.
- Handle media uploads and profile assets reliably.
- Support monetization through tickets, subscriptions, and payment-related flows.
- Keep safety, reporting, and post-date feedback part of the product loop.
What QtaSO delivered
Mobile and backend engineering for a consumer marketplace app
QtaSO helped build the mobile and backend foundation behind Flirt, including React Native/Expo app work, Node.js APIs, AWS-backed services, media upload flows, matching-related workflows, ActivityKit/live notification support, and monetization flows.
- React Native and Expo mobile app implementation.
- Node.js backend APIs for matching and product workflows.
- AWS Lambda services and S3-backed media handling.
- ActivityKit/live notification support for timely engagement.
- Tickets, subscriptions, and payment-adjacent product flows.
- Safety, reporting, and feedback workflows.
Public proof
A live iOS app with clear category positioning
The public App Store listing describes the product as "Swipe on Dates, Not People" and highlights experience-centric discovery, ranked date matches, night-before confirmation, post-date feedback, and safety workflows. At review time, the listing showed a 4.7 rating from 337 ratings.
Architecture
AI Video Generation Pipeline
01
Date discovery
02
Preference ranking
03
Match creation
04
Confirmed-date notification
05
Chat and planning
06
Post-date feedback
07
Safety workflows
Product output
A differentiated dating flow users can understand quickly
The final experience turns matching into a concrete sequence: choose date ideas, rank interest, receive confirmation, chat to finalize, and feed safety/quality signals back into the community.
Render-ready formats for listing pages, social feeds, ads, and sales follow-up
Next step
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