I’m building NeuraLinka, a Flutter-based mobile app that lets people connect around how they feel rather than how many followers they have. The experience should be clean, fast, and ready to scale on Firebase. Core workflow • New users create an account with a simple email-and-password flow; each account receives a unique, anonymised ID so real names never appear inside the app. • After sign-up, a mood selector surfaces connections and one-to-one chats with users in a similar emotional state. • Conversations are fully private; profiles remain anonymous throughout. • A lightweight community feed allows text-only posts that can be reacted to but not publicly commented on, keeping the focus on quick emotional check-ins. • A basic web-accessible admin panel must let me mute or ban users, review flag reports, and edit or remove posts in real time. Tech stack expectations Flutter 3.x with Riverpod or Bloc (your preference) on the client side, Firebase Auth, Firestore, Cloud Functions, and FCM for the back end and notifications. The architecture should separate business logic cleanly so future features—such as phone verification or image uploads—can slot in without major refactors. Deliverables 1. Production-ready iOS & Android builds 2. Source code in a private Git repo with clear commit history 3. Minimal yet functional admin dashboard (Flutter Web or any lightweight framework) 4. Short setup guide and API keys checklist What I’d like to see in your bid • Links or TestFlight/Play Store builds of previous Flutter social or chat apps you’ve shipped • A sentence on how you’d model the mood-matching algorithm in Firestore • Estimated timeline to reach an MVP with the features above If this sounds like a project that fits your wheelhouse, I’m excited to hear how you’d bring NeuraLinka to life.