Use case

Build a social app with AI — feeds, profiles, and messaging

Post, follow, message, and notify. AI-generated native social app, ready to customize.

At a glance

Output
Native iOS + Android + web preview
Real-time
WebSocket messaging and notifications
Media
Image upload with preview
Engagement
Likes, comments, follows, and push pings
Stack
Expo + React Native, REST + WebSocket, image storage
Time to first preview
Under five minutes

Example prompt

Build a native social app with feed, profiles, posting with images, following, messaging, and notifications.

What AppGenie generates

AppGenie generates a social app with feeds, profiles, posting, following, messaging, and notifications. Perfect starting point for niche community apps, fan apps, and social commerce.

Feed and posting

Create posts with images and text.

Profiles and follows

Follow/unfollow and profile screens.

Messaging

Real-time direct messages.

Notifications

Push notifications for follows and messages.

Inside the social app AppGenie ships

A breakdown of the concrete features wired into the first generated build, grouped by area.

Content

  • Create posts with text and images
  • Feed with chronological or following-based ordering
  • Likes and comments on posts
  • Hashtags or topic tags for discovery

People

  • Profiles with bio, avatar, and post grid
  • Follow / unfollow with follower and following counts
  • Search for users and posts
  • Block and report flows

Real-time

  • Direct messaging with read receipts
  • Push notifications for follows, likes, and messages
  • In-app notifications inbox

Screens you get out of the box

  • Feed
  • Post detail
  • Profile
  • Messages
  • Notifications
  • Settings

Key screens, and what each one does

  1. Feed

    Scrollable feed with posts, likes, and comments.

  2. Post detail

    Full post view with comment thread.

  3. Profile

    Bio, follower counts, and a grid of posts.

  4. Compose

    Create a post with text and images.

  5. Messages

    Inbox of conversations with real-time chat.

  6. Notifications

    Activity feed of follows, likes, and replies.

  7. Settings

    Account, privacy, and notification preferences.

Data model sketch

The default entities AppGenie scaffolds for a social app. Edit the spec at sign-off to add fields, drop entities, or rename anything.

User

  • id
  • username
  • displayName
  • bio
  • avatarUrl
  • createdAt

Post

  • id
  • authorId
  • body
  • mediaUrls[]
  • tags[]
  • likeCount
  • commentCount
  • createdAt

Comment

  • id
  • postId
  • authorId
  • body
  • createdAt

Like

  • id
  • postId
  • userId
  • createdAt

Follow

  • id
  • followerId
  • followeeId
  • createdAt

Conversation

  • id
  • participantIds[]
  • lastMessageAt

Message

  • id
  • conversationId
  • senderId
  • body
  • createdAt
  • readAt

Example prompts to start from

Paste any of these into the AppGenie builder to kick off a new social app, then refine from chat.

Build a native social app for a running community with feed, profiles, follows, messaging, and push notifications.

Build a photo-sharing app like a niche Instagram for plant lovers, with hashtags, likes, and DMs.

Build a fan app with creator posts, paid subscriber-only content, and DMs to the creator.

Add a "stories" screen with 24-hour expiring posts at the top of the feed.

How to build a social app with ai

  1. 1

    Describe your community

    Outline the target audience and key social actions.

  2. 2

    Approve the spec

    Screens, data, and interactions drafted.

  3. 3

    Iterate

    Refine with follow-up prompts.

  4. 4

    Ship

    Launch to mobile.

How AppGenie builds your social app

A look at the multi-agent pipeline that turns your prompt into a generated codebase.

  1. 1

    A1 picks the social preset

    IntentClassifier sees "social" and routes to the feed + messaging + profile pipeline.

  2. 2

    A3 drafts the social model

    PRDWriter outlines users, posts, follows, and messaging shapes for sign-off.

  3. 3

    A4 + A5 generate the app

    Architect plans the feed, profile, and chat surfaces; CodeGenerator wires WebSockets, image upload, and notifications.

  4. 4

    A6 validates the build

    Validator runs a build check; you get a live preview to scroll the feed and send messages end-to-end.

The bottom line

Social apps live or die on engagement loops, not on the underlying plumbing. AppGenie scaffolds the feed, follows, messaging, and notifications in one pass — so you can spend day one on community design instead of WebSocket boilerplate.

Similar apps you can build

Social app — FAQ

Does AppGenie scaffold real-time messaging?

Yes. The social prompt wires WebSocket-backed direct messaging out of the box.

Ready to build a social app with ai?

Describe it once. AppGenie generates a full production codebase you own, with live preview and diff-aware updates.