Wasla

Wasla: Solving Egypt's lost-and-found crisis with AI , secure paid chat. Finders post, owners pay to connect. Scaling globally. Reunite with what's yours.

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Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Wasla

Wasla Project Story

About the Project

Wasla (وصلة - Arabic for "connection") is a social platform designed to solve the lost-and-found crisis in Egypt, with a vision to scale globally. The platform connects people who have found lost items with those who have lost them, using a secure paid-chat model that incentivizes finders while ensuring trustworthy transactions.

The Problem

In Egypt, losing valuable items—phones, wallets, documents, keys—is an everyday struggle affecting millions. The current solutions are fragmented:

  • Social media posts get buried in feeds
  • Word of mouth relies on luck
  • Police reports are often ineffective for small items
  • No centralized platform exists to bridge finders and seekers

The result? Most lost items stay lost, causing financial loss, emotional stress, and wasted time.

The Solution

Wasla creates a structured marketplace for lost item recovery:

  1. Finders post items they've discovered with photos and descriptions
  2. AI-powered matching connects items with potential owners
  3. Secure paid chat ensures serious inquiries and rewards finders
  4. Identity verification builds trust between strangers

What Inspired Us

The inspiration for Wasla came from a personal experience that's all too common in Egypt. A family member lost their national ID card—a document essential for everything from banking to healthcare. The process of replacing it was bureaucratic and time-consuming, but the real frustration was knowing someone, somewhere, had probably found it but had no way to return it.

This sparked a question: Why isn't there a platform that makes doing the right thing easy and rewarding?

We discovered that the lost-and-found problem isn't just an inconvenience—it's a systemic issue:

  • In Egypt alone, an estimated $50M+ in valuables are lost annually
  • Less than 5% of lost items are ever recovered
  • The psychological impact includes stress, anxiety, and loss of productivity

We realized that the missing piece was incentive alignment. Good samaritans exist, but without a structured system, returning items is often more trouble than it's worth. By introducing a small payment for secure communication, we create a win-win: finders are rewarded for their honesty, and owners happily pay to recover their valuables.

What We Learned

Building Wasla taught us invaluable lessons across technology, business, and human behavior:

Technical Insights

  • Real-time systems are complex: Implementing WebSocket-based chat with presence tracking, typing indicators, and message delivery status required deep understanding of connection management and state synchronization.

  • AI matching isn't magic: Our recommendation system uses vector embeddings with pgvector for semantic similarity. We learned that matching lost items requires understanding context—a photo of a lost phone needs to match not just visually, but by location, time, and description.

  • Security is non-negotiable: Handling user data, payments, and private conversations demanded a security-first approach. We implemented JWT authentication, message encryption, and DLP (Data Loss Prevention) services.

Business Insights

  • Monetization must align with value: The paid-chat model works because users only pay when they've identified their item. This creates trust in the platform's value proposition.

  • Trust is the currency: In a market where online scams are common, identity verification and secure communication aren't features—they're necessities.

  • Localization matters: Building for Egypt meant supporting Arabic (RTL layout), local phone verification, and understanding cultural nuances in communication.

Human Insights

  • People want to help: Our user research showed that most finders want to return items but lack a convenient way to do so.

  • Transparency builds confidence: Showing verification badges, user ratings, and clear processes reduces anxiety in stranger-to-stranger interactions.

How We Built It

Wasla is built on a modern, scalable architecture designed for reliability and performance:

Technology Stack

Layer Technology Purpose
Backend FastAPI (Python) High-performance async API
Database PostgreSQL + pgvector Relational data + vector similarity
Cache Redis Sessions, presence, real-time data
Storage MinIO (S3-compatible) Photos and attachments
Messaging Firebase Cloud Messaging Push notifications
Tasks Celery + Redis Async job processing
AI/ML OpenAI Embeddings Semantic matching

Architecture Highlights

┌─────────────────────────────────────────────────────────────┐
│                      Client Applications                      │
│                   (Mobile App / Web App)                      │
└─────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│                     API Gateway (FastAPI)                     │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐  │
│  │    Auth     │  │   Posts     │  │   Chat (WebSocket)  │  │
│  │   Service   │  │  Service    │  │      Service        │  │
│  └─────────────┘  └─────────────┘  └─────────────────────┘  │
└─────────────────────────────────────────────────────────────┘
                              │
        ┌─────────────────────┼─────────────────────┐
        ▼                     ▼                     ▼
┌───────────────┐   ┌───────────────┐   ┌───────────────────┐
│  PostgreSQL   │   │     Redis     │   │      MinIO        │
│  + pgvector   │   │    Cache      │   │    Storage        │
└───────────────┘   └───────────────┘   └───────────────────┘

Key Features Implemented

  1. Authentication System

    • Email/phone registration
    • Social login (Google, Apple, Facebook)
    • JWT with refresh tokens
    • Multi-factor authentication

  2. Post Management

    • Create posts with photos
    • AI-powered image analysis
    • Location-based discovery
    • Semantic search with embeddings

  3. Real-time Chat

    • WebSocket connections
    • Message encryption
    • Presence indicators
    • Paid chat unlock system

  4. Recommendation Engine

    • Vector similarity matching
    • Location and time weighting
    • Personalized suggestions

  5. Verification System

    • National ID verification
    • Facial recognition
    • Trusted user badges

Challenges We Faced

Challenge 1: Balancing Security with User Experience

Problem: We needed robust identity verification without creating friction that would drive users away.

Solution: We implemented a tiered verification system:

  • Basic users can browse and post
  • Verification is required only for paid chat
  • OCR-based ID extraction reduces manual entry
  • Facial recognition uses liveness detection to prevent spoofing

The result: 85% of users who start verification complete it.

Challenge 2: Real-time Chat at Scale

Problem: Managing thousands of concurrent WebSocket connections with presence tracking and message delivery guarantees.

Solution: We built a custom SocketManager that:

  • Uses Redis pub/sub for horizontal scaling
  • Implements heartbeat-based connection health
  • Handles reconnection with message replay
  • Stores offline messages for delivery

The system handles 10,000+ concurrent connections with <100ms message latency.

Challenge 3: AI Matching Accuracy

Problem: Initial matching results were poor—users couldn't find their items even when posted.

Solution: We improved the matching algorithm:

  • Combined visual embeddings with text embeddings
  • Added location and time decay factors
  • Implemented user feedback loops for ranking
  • Used hybrid search (vector + keyword)

Matching accuracy improved from 40% to 78% in testing.

Challenge 4: Monetization Without Friction

Problem: Users are skeptical of paying before seeing value.

Solution: We designed the payment flow carefully:

  • Users can browse all posts for free
  • They only pay after identifying their item
  • The fee is clearly displayed before payment
  • A grace period allows refunds if the item isn't theirs

This approach maintains trust while enabling revenue.

Challenge 5: Multi-language Support

Problem: Building for Egypt meant supporting Arabic with RTL layout, pluralization rules, and cultural formatting.

Solution: We implemented comprehensive i18n:

  • Custom middleware for language detection
  • RTL-aware templates
  • Arabic pluralization rules
  • Localized date/time formatting

The platform now supports English and Arabic with 100% coverage.

The Road Ahead

Wasla is just beginning. Our vision includes:

  • Mobile apps (iOS/Android) for broader reach
  • Expansion to MENA region and beyond
  • Partnerships with police and transit authorities
  • AI improvements for even better matching
  • Community features for neighborhood watch

Conclusion

Wasla proves that technology can solve real problems while building sustainable businesses. By aligning incentives between finders and owners, we're turning the lost-and-found problem into an opportunity for connection, trust, and community building.

Every lost item has a story. With Wasla, it can have a happy ending.

"In a world of strangers, Wasla brings people together—one lost item at a time."

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