Build a Dating App with AI — Profiles, Swipe, Match Chat

Native dating app with AI help. React Native + Supabase + moderation + match chat. Real build time from a developer who shipped 4 apps in a month.

Build/Build a Dating App with AI — Profiles, Swipe, Match Chat
dating~5 weekends

Build a Dating App with AI — Profiles, Swipe, Match Chat

Native dating app with AI moderation. Photo NSFW detection, match chat, Apple safety flow. From a developer who shipped 4 apps in one month.

Stack highlights

React Native + ExpoVision photo moderationSupabase Realtime match chatAge gateReport queue

Why a dating app is a moderation problem, not a swipe problem

The swipe animation is a weekend. The moderation, safety, and content rules are the rest. Every dating app that skips moderation gets rejected on Apple review, and the ones that sneak through get banned later. Build the safety layer before the swipe animation and your timeline flips.

I have not shipped a dating app, but I have built the user-reporting + moderation queue pattern inside my small-social-app experiment and it is the same flow.

What you actually need to build

  • Profile: Photos (max 6), name, age, bio, one or two preferences. Age verification on signup — hard gate.
  • Swipe stack: A card swipe with right/left/up. Nothing fancy in v1. react-native-deck-swiper is fine.
  • Match: When both users swipe right, create a match and open the chat.
  • Match chat: One-to-one chat between matched users. Supabase Realtime is enough.
  • Report + block + unmatch: Mandatory. Apple will check for all three.
  • Photo moderation: Automatic NSFW detection before a photo goes public. One vision model call per upload, cached on image hash.

No algorithm-based matching in v1. Simple geo + preference filter works.

The stack I use

  • React Native + Expo.
  • Supabase — auth, profiles, matches, messages, reports. RLS everywhere.
  • Supabase Storage for photos, with a signed URL + short TTL so scraping is harder.
  • NestJS — photo moderation endpoint. One vision model call per upload, cached. Also runs a nudity detector before public exposure.
  • Supabase Realtime for match chat.
  • Claude Code + 11 AI agents — scaffold the profile, swipe, and chat screens.

Real build time

With the boilerplate, 5 weekends. Moderation and the App Store reply cycle are the long tail.

  • Auth + age gate + profile form: ~8 hours.
  • Photo upload + moderation pipeline: ~6 hours.
  • Swipe stack + match logic: ~8 hours.
  • Match chat with Realtime: ~8 hours.
  • Report/block/unmatch + moderation queue: ~6 hours.
  • Store submission + safety documentation: ~8 hours.

About 44 hours. Plan for one or two review rejections specifically on safety documentation — Apple asks for specifics in this category every time.

Where people get stuck

  • Apple review for user-generated content: Expect a review delay of 3-7 days and a required safety questionnaire reply. Have your moderation plan written in advance — 24-hour report SLA, photo moderation before public exposure, block + unmatch flows wired.
  • Fake profiles flooding on launch: Without a phone or email verification step, bots sign up the same day you launch. Gate signup on at least an Apple Sign In or a phone verification.
  • Match chat scroll jumping: Supabase Realtime delivers new messages as they arrive. If you do not anchor the scroll position, the list jumps every few seconds. Keep the user pinned to the bottom unless they have scrolled up.

Skip the setup

Age gate, photo moderation pipeline, swipe scaffold, match chat with Realtime, report queue, moderation backoffice — pre-wired. The 11 AI agents scaffold the profile and chat screens.

See pricing

Skip the setup. Start shipping.

Every piece of the stack above is pre-configured in Shippen. 11 AI agents scaffold the rest.

ShippenBuildBuild a Dating App with AI — Profiles, Swipe, Match Chat