How to Build an App Like Lalamove: Full-Stack Developer’s Guide

Launching an on-demand logistics an app like Lalamove today isn’t just smart — it’s strategic. With same-day deliveries becoming the new norm across cities and industries, entrepreneurs and startups are eyeing this space for its high-growth potential. I recently developed a Lalamove Clone app from scratch — both in JavaScript (Node.js + React) and PHP (Laravel) stacks — and in this guide, I’ll walk you through the full development lifecycle.

You’ll learn the why, how, and what of building an app like Lalamove — with real developer insights, decisions, and code examples. Whether you’re a founder or agency, this tutorial will give you clarity on how to launch fast and scale smart — whichever stack you choose.

Choosing the Right Tech Stack

When I started building the Lalamove clone, I knew the choice of tech stack would directly impact scalability, dev velocity, and long-term maintainability. Since this guide serves both tech-savvy founders and agencies, I’ll walk you through how I built the app using two parallel stacks — one with JavaScript (Node.js + React) and the other with PHP (Laravel) — and when each is a better fit.

JavaScript Stack: Node.js + React

If your goal is real-time performance, snappy user interactions, and scalability for high-concurrency tasks (like rider tracking and delivery updates), Node.js is a top contender. I paired Node.js with Express.js for the backend and React.js for the frontend. For real-time events (like tracking drivers), I used Socket.IO, which integrates very well with Node.js. This stack is great when you’re targeting mobile-first usage with React Native or looking to build single-page apps (SPA) with quick UI transitions.

PHP Stack: Laravel (or CodeIgniter)

If you want to move fast, especially for admin-heavy dashboards, API-based mobile backends, or projects with tighter budgets, PHP — especially Laravel — is super effective. Laravel provides built-in tools for authentication, email verification, queues, and database migrations, making it highly productive. I’ve also used CodeIgniter in some legacy projects for its light footprint, but Laravel’s ecosystem is more powerful and developer-friendly for a logistics app like this.

When to Use Which?

Use JavaScript Stack (Node + React) if:

• You need real-time features (like live tracking)
• Your app is mobile-centric and you plan to use React Native
• You want a unified language across frontend & backend

Use PHP Stack (Laravel) if:

• You want rapid backend development with ready-to-use features
• Your team is familiar with MVC-style server-rendered apps
• You’re okay with Blade templates for the frontend or planning to go API-first with a mobile frontend

Both stacks are capable of powering an app like Lalamove. What matters most is aligning your tech stack with your team’s skills, project timelines, and budget goals.

Read More : Best Lalamove Clone Scripts in 2025: Features & Pricing Compared

Database Design for an App Like Lalamove

Building a logistics platform means handling complex, real-time data relationships — think drivers, orders, geolocations, vehicles, payments, statuses, and more. Whether I used Node.js with MongoDB or Laravel with MySQL, the core design principles remained the same: modularity, scalability, and real-world flexibility.

Core Schema Entities

Let’s break down the major tables (or collections) I used:

1. Users
Stores customers, drivers, and admin users with roles

• id
• name
• email
• phone
• password_hash
• role (customer, driver, admin)
• status (active, suspended)

2. Deliveries
Tracks pickup, drop-off, pricing, assignment

• id
• user_id
• driver_id
• pickup_location (lat, long)
• dropoff_location
• package_details (size, weight, type)
• status (pending, accepted, in-progress, completed, cancelled)
• estimated_price
• final_price
• payment_id

3. Vehicles
Each driver registers their vehicle here

• id
• driver_id
• vehicle_type (bike, van, truck)
• plate_number
• document_verification_status

4. Ratings and Reviews
Post-delivery feedback loop

• id
• delivery_id
• user_id
• driver_id
• rating
• comment

5. Payments
Integrated with Stripe or Razorpay

• id
• user_id
• amount
• currency
• status
• method
• transaction_reference

NoSQL (MongoDB) vs Relational (MySQL)

In the Node.js version, I used MongoDB via Mongoose. The nested structure made it easy to embed package_details inside the deliveries document, which sped up queries. This worked great for real-time views and aggregation pipelines.

In the PHP/Laravel version, I used MySQL with Eloquent ORM. I normalized the schema, using foreign keys to maintain data integrity. Laravel’s relationship methods like hasMany, belongsTo, and with() made it easy to stitch together views and dashboards.

Design Flexibility

For location data, I used GeoJSON in MongoDB and POINT fields in MySQL with spatial indexing. This allowed features like “Find nearest driver within 5 km” to be lightning-fast.

Whether NoSQL or SQL, the key was to ensure that the system could scale horizontally, handle geo-distributed traffic, and adapt to new use cases like scheduled bookings or partner-based delivery services.

Read More : Reasons startup choose our Lalamove clone over custom development

Key Modules and Features in a Lalamove Clone App

Once the database was in place, I focused on building out the functional modules — the moving parts that make Lalamove what it is. Whether you’re building this in JavaScript (Node + React) or PHP (Laravel), the structure of modules remains the same. The difference lies in how you implement and how fast you can iterate based on your stack.

1. Booking & Order Management

This is the heart of the system. Users should be able to create a delivery request, select vehicle types, set pickup/drop locations, and get an instant price.

Node.js: I used REST endpoints with Express.js and real-time price calculations based on Haversine distance formulas. Prices are calculated on the fly and cached for 5 minutes per session to avoid excess computation.
Laravel: Laravel controllers handled form-based submissions (Blade or API JSON). I leveraged Laravel’s job queues to offload pricing computations and send confirmations asynchronously.

2. Search Filters (Vehicle, Location, Availability)

Allow users to filter services based on type (bike/van/truck), delivery time (ASAP/scheduled), and location coverage.

Node.js: MongoDB’s geospatial queries ($geoNear, $within) were critical for location-based filtering.
Laravel: MySQL spatial indexing and raw queries using ST_Distance_Sphere() offered accurate filtering based on latitude/longitude.

3. Real-Time Driver Tracking

Essential for customer experience and operational monitoring.

Node.js: Used Socket.IO for bi-directional communication. Drivers’ location was updated every 10 seconds and broadcasted to the customer’s UI.
Laravel: Integrated Pusher as a real-time layer, though Laravel WebSockets package also works well. For mobile apps, Firebase was a fallback for push location updates.

4. Admin Panel

A must-have to manage users, deliveries, payouts, disputes, and analytics.

Node.js + React Admin Panel: Used React Admin + Express.js APIs secured by JWT. Built role-based access using RBAC middleware in Express.
Laravel Admin Panel: Laravel Nova or Voyager for rapid admin UI setup. Used middleware + Gate/Policy for permissions.

5. Notifications (SMS, Email, Push)

Whether it’s confirming a delivery, updating driver arrival, or sending receipts — real-time notifications are critical.

Node.js: Integrated with Twilio (SMS), SendGrid (Email), and Firebase Cloud Messaging (Push). Used Node cron + agenda.js for scheduled alerts.
Laravel: Laravel Notifications made this seamless. Configured multiple channels — mail, SMS (via Nexmo), push (via OneSignal).

6. Driver & Fleet Management

Drivers can register, upload documents, select shifts, and get assigned jobs.

Node.js: Used Multer for file uploads (driver license, insurance). Built a simple moderation queue for admin approval.
Laravel: Laravel File Storage + validation rules made this quick to implement. Used Horizon to queue and manage async processes.

Each module above had its own nuances and edge cases. Whether you build using JavaScript or PHP, think in terms of feature slices — and keep logic modular, well-documented, and testable.

Read More : Revenue Model of Lalamove: How This On-Demand Delivery App Makes Money

Data Handling: APIs vs Manual Listings

Handling delivery data dynamically is key to building a scalable logistics platform. Lalamove-like apps need to ingest, display, and manage a variety of data — from service zones to delivery prices, vehicle categories, and user records. During development, I made sure the app supported two flexible approaches: third-party API integration and admin-controlled manual data management.

Third-Party API Integrations

In some markets, it’s smart to tap into external logistics or mapping APIs — especially for route planning, fare estimation, or vehicle availability.

1. Mapping & Distance Calculations

• API Used: Google Maps Distance Matrix API
• Node.js: Called the API via axios, and cached responses using Redis for 10 minutes. This helped avoid rate limits.
• Laravel: Used Laravel’s HTTP client (Http::get) inside a custom service class. Cached responses via Laravel Cache with tagged keys for fast invalidation.

2. Fare Estimation Engines

• I built a fallback that hits an API endpoint with origin/destination and returns price suggestions based on region, demand, and vehicle. This was especially useful in JavaScript where I could return suggestions in <500ms using async-await patterns and microservices.

3. Vehicle Data APIs

• For regions with fleet partnerships, we connected to partner APIs that exposed available drivers, their locations, and capacities. These APIs returned JSON objects which we normalized and stored temporarily in-memory (Node) or Redis (Laravel).

Manual Listings via Admin Panel

Not all deployments need dynamic APIs — especially if you’re building for a local logistics startup with internal drivers or a fixed delivery area. That’s why I also built admin-controlled modules for:

• Adding delivery zones
• Creating vehicle categories and pricing rules
• Assigning drivers to service areas
• Manually managing order lifecycle stages (e.g., force cancel, reassign)

In Node.js: These were handled through secured admin endpoints that saved to MongoDB. I created dynamic pricing rules using a JSON schema with nested pricing by zone, weight, and vehicle type.

In Laravel: Admins used Blade views or Vue components to manage data. The pricing logic was stored in MySQL using normalized tables and pivot relations (e.g., zone_vehicle_pricing table).

Hybrid Support

Ultimately, I designed the app to support both models — pulling real-time data via API where available, and falling back to manual admin-entered records when APIs were absent. This gave founders and ops teams total flexibility based on region, scale, and strategy.

API Integration and Sample Endpoints

At the heart of any scalable Lalamove clone is a solid API architecture. I designed the system to be API-first, which means the mobile app, web app, and admin panel all talk to the backend via well-documented endpoints. In both Node.js (Express) and Laravel, I built clean, modular, and secure API layers that powered the platform’s core interactions.

RESTful API Design Principles

I followed REST conventions to make endpoints predictable and easy to consume:

• Use nouns, not verbs, for resources (/deliveries, not /createDelivery)
• Follow standard HTTP verbs: GET, POST, PUT, DELETE
• Use nested routes for contextual resources (/drivers/:id/vehicles)
• Include pagination, filtering, and sorting via query params

Core Endpoints

1. Authentication

• POST /auth/register
• POST /auth/login
• POST /auth/logout
• POST /auth/forgot-password

Node.js (Express + JWT):

router.post('/auth/login', async (req, res) => {
  const user = await User.findOne({ email: req.body.email });
  const isMatch = await bcrypt.compare(req.body.password, user.password);
  if (!isMatch) return res.status(401).json({ error: 'Invalid credentials' });
  const token = jwt.sign({ id: user._id, role: user.role }, process.env.JWT_SECRET);
  res.json({ token });
});

Laravel:

public function login(Request $request) {
    $credentials = $request->only('email', 'password');
    if (!Auth::attempt($credentials)) {
        return response()->json(['error' => 'Unauthorized'], 401);
    }
    $token = Auth::user()->createToken('API Token')->plainTextToken;
    return response()->json(['token' => $token]);
}

2. Deliveries

• GET /deliveries
• POST /deliveries
• PUT /deliveries/:id/status
• GET /deliveries/:id

3. Vehicles

• POST /drivers/:id/vehicles
• GET /drivers/:id/vehicles

4. Pricing & Fare Estimation

• POST /fare-estimate
  Returns fare based on pickup, drop-off, weight, and vehicle type.

5. Driver Location Updates (Real-time)

• POST /drivers/:id/location
• GET /deliveries/:id/tracking

Middleware & Security

Node.js: I used JWT-based middleware to restrict access:

function authMiddleware(req, res, next) {
  const token = req.headers.authorization?.split(' ')[1];
  if (!token) return res.status(403).json({ error: 'No token' });
  try {
    const decoded = jwt.verify(token, process.env.JWT_SECRET);
    req.user = decoded;
    next();
  } catch {
    return res.status(401).json({ error: 'Invalid token' });
  }
}

Laravel: Used Sanctum or Passport for token-based auth. Role-based access was handled using policies and middleware groups.

Response Consistency

I followed a consistent JSON structure:

{
  "success": true,
  "data": { ... },
  "message": "Delivery created successfully"
}

Whether you’re working with JavaScript or PHP, clean API contracts are non-negotiable. They make frontends simpler, improve debugging, and help with future integrations (like partner dashboards or third-party plugins).

Frontend and UI Structure

A logistics app like Lalamove demands a user interface that is fast, intuitive, and optimized for mobile-first interactions. I approached the frontend with two strategies — using React for the JavaScript stack and Blade (Laravel’s templating engine) for the PHP stack. Each had its pros and trade-offs depending on the deployment scenario and user base.

React Frontend (JavaScript Stack)

For the Node.js build, I developed a React-based SPA using functional components, React Router, and Redux for global state management. The layout was built with a mobile-first design philosophy and included responsive breakpoints for tablets and desktops.

Key Views:

• Homepage with service options: Allows users to choose vehicle types and schedule deliveries
• Delivery booking form: Dynamic pickup/drop fields powered by Google Maps Autocomplete
• Live tracking screen: Displays driver location on a map using Leaflet.js or Google Maps JS API
• Dashboard (Customer & Driver): Includes active, scheduled, and completed deliveries
• Admin Panel (React Admin): Quick CRUD with permissions and status filters

Styling: I used Tailwind CSS for rapid UI development. Its utility-first approach made it easy to maintain consistent spacing, colors, and component layouts. Mobile UX was further enhanced with conditional rendering, swipe gestures, and native-like transitions using Framer Motion.

Data Flow:

• API calls made via Axios
• Token persisted in localStorage or secure HTTP-only cookies (if SSR is used)
• Context + Redux handled auth, booking state, and driver updates

Laravel Blade Frontend (PHP Stack)

For the Laravel build, I used Blade templates enhanced with Alpine.js and Livewire for interactivity. This approach worked well for SEO, fast first-paint, and easier integration with Laravel’s back-end features.

Key Views:

• Home + Service Selection Page: Clean tab-based vehicle selection using Alpine tabs
• Booking Form: Form submission handled via POST requests with CSRF protection
• Tracking View: Embedded Google Maps iframe or Livewire-polling components for updates
• Admin Dashboard: Built with Laravel Nova or custom Blade templates with DataTables

Styling: Bootstrap was used initially, but I gradually migrated to Tailwind for more control. Blade sections and components allowed me to reuse layout shells across pages, speeding up development.

Dynamic Data Binding:

• Blade used @foreach loops and Laravel helpers for rendering
• Livewire made components like real-time status tables and auto-refresh cards smooth without writing custom JS
• AJAX handled via Axios or jQuery for legacy compatibility where needed

UI/UX Design Principles Followed

• Keep actions within thumb range on mobile
• Avoid multi-step forms unless necessary (one-screen booking works better)
• Use status badges and color indicators to show delivery progress
• Minimize latency by lazy-loading images, maps, and historical data
• Show fallback screens if GPS fails or driver disconnects

While React gives you maximum flexibility and speed for dynamic experiences, Blade templates are more productive for MVPs and backend-driven apps. Both frontends connected cleanly to the APIs and delivered solid performance across devices.

Read More : Business Model of Lalamove | How It Makes Money and Scales

Authentication and Payment Integration

When it comes to an on-demand delivery platform like Lalamove, secure user authentication and smooth payment handling are non-negotiable. The goal was to make the experience seamless for customers, efficient for drivers, and transparent for admins. I implemented different auth and payment strategies across the Node.js and Laravel stacks, each optimized for the stack’s strengths.

Authentication System

1. User Roles and Guards
There were three user types — customers, drivers, and admins. I structured role-based access using middleware (Node.js) and guards (Laravel), ensuring only authorized users could perform certain actions.

Node.js (JWT Auth):

• Used jsonwebtoken for token generation
• Middleware validated tokens and injected user context into each request
• Refresh tokens handled via HTTP-only cookies for enhanced security

Example:

const token = jwt.sign({ id: user._id, role: user.role }, process.env.JWT_SECRET, { expiresIn: '2h' });

Laravel (Sanctum):

• Used Laravel Sanctum for SPA-friendly token auth
• Defined multiple guards for web, api, and driver
• Route middleware (auth:sanctum, role:admin) enforced boundaries

Driver login via:

$token = $user->createToken('driver-token')->plainTextToken;

2. Email & OTP Verification

• Users verified emails via one-time secure links (Laravel’s built-in features)
• SMS-based OTP for phone login was implemented using Twilio or Msg91

3. Forgot Password & Password Reset
Both stacks used token-based password reset links with expiry. In Laravel, this was a built-in feature; in Node.js, I built a custom reset flow using token hashes and a temporary store in MongoDB or Redis.

Payment Gateway Integration

Payment flexibility was key — so I integrated Stripe for global deployments and Razorpay for Indian merchants. Both supported webhooks, subscriptions (if needed), and partial captures.

1. Stripe (Used in Node.js stack)

• Installed stripe SDK
• Created payment intents on booking confirmation
• Handled webhook for payment_success, then marked delivery as paid
• Saved transaction_id, amount, and metadata to the payments table

Example endpoint:

app.post('/api/payments/create', async (req, res) => {
  const paymentIntent = await stripe.paymentIntents.create({
    amount: req.body.amount,
    currency: 'usd',
    metadata: { delivery_id: req.body.delivery_id },
  });
  res.send({ clientSecret: paymentIntent.client_secret });
});

2. Razorpay (Used in Laravel stack)

• Used razorpay/razorpay SDK via Composer
• Payment page invoked using Razorpay Checkout.js
• Webhooks handled via route listener for payment.captured
• Verified signature before updating delivery record

Webhook example:

if (Signature::verify($request->payload, $request->signature, env('RAZORPAY_SECRET'))) {
    Delivery::where('id', $request->delivery_id)->update(['status' => 'paid']);
}

Post-Payment Actions

• Sent receipt via email (SendGrid in Node.js, Laravel Mailables)
• Updated delivery status to “confirmed”
• Triggered driver assignment module via event or job queue
• Created payout record (for driver earnings) in a separate ledger table

Security was a top priority. I used HTTPS everywhere, validated webhook sources, and stored minimal PCI data (mostly just references — not card details). Whether you go with Stripe or Razorpay, both stacks can support robust and scalable payment flows.

Testing and Deployment Strategy

Building the app was only half the battle. Ensuring it worked reliably across devices, browsers, and loads — and could be updated without downtime — was where testing and deployment really came into play. I adopted a modern DevOps approach for both the JavaScript (Node.js + React) and PHP (Laravel) stacks, with a few variations depending on the server environment and runtime needs.

Testing Approach

1. Unit Testing

Node.js:

• Used Jest for testing services, utilities, and controller logic
• Mocked MongoDB using mongodb-memory-server for fast isolated tests
• Focused on delivery calculation, user auth, and fare estimators

Laravel:

• Used PHPUnit with built-in Laravel testing helpers
• Tested models, policies, and API routes
• Included DB migrations with test seeds to simulate real environments

2. Integration Testing

Node.js:

• Employed Supertest for simulating API calls
• Ran test suites in Docker during CI builds

Laravel:

• Created test cases for full user flows: booking delivery, assigning drivers, making payments
• Used Laravel’s withoutMiddleware() method to isolate functionality during tests

3. Frontend Testing

React:

• Used React Testing Library to validate components and UI states
• Tested form validations, modals, and dynamic rendering based on API states

Blade:

• Since Blade isn’t component-driven like React, I focused on manual QA using Laravel Dusk for end-to-end testing

Deployment Pipeline

1. Containerization with Docker

Both stacks were containerized using Docker to ensure parity across dev, staging, and production.

Node.js:

• Multi-stage Dockerfile with Node build and NGINX serving React frontend
• Docker Compose used for dev environments (API + MongoDB + Redis)

Laravel:

• Separate Docker containers for PHP, MySQL, Redis, and NGINX
• Used .env.docker files for container-specific variables

2. CI/CD Pipeline

I configured CI pipelines to automate testing and deployments.

Node.js (CI with GitHub Actions):

• On push: run lint, run tests, build container, push to DockerHub
• Auto-deploy to staging via SSH + Docker restart
• PM2 used to manage production process lifecycle

Laravel (CI with GitLab):

• Pipelines included composer install, test run, static analysis
• Used Envoy for zero-downtime deployment via rsync and service reload
• Deployed behind Apache or NGINX with SSL and reverse proxy

Monitoring and Logs

• Node.js: Used PM2, which gave me process monitoring, memory usage, and automatic restarts on crash
• Laravel: Used Supervisor to keep Laravel queues running, and Laravel Telescope for monitoring internal events
• Log storage was centralized via Loggly or Elastic Stack, depending on client preference

Caching & Optimization

• Redis was used in both stacks for session caching, rate-limiting, and fare computation caches
• In Laravel, I used route and config caching (php artisan config:cache) for speed
• In Node.js, I added response-level caching for public endpoints (e.g., vehicle list, fare base) via apicache

This setup ensured that even under high traffic — say, during surge hours or marketing pushes — the system stayed resilient, could auto-recover, and scale horizontally.

Read More : Lalamove Marketing Strategy for Logistics App Growth

Pro Tips from Real-World Development

Building and scaling a Lalamove-like logistics platform taught me a lot beyond just writing clean code. From dealing with real-time location glitches to performance bottlenecks in pricing logic, here are some hard-earned lessons and developer strategies that’ll help you avoid common pitfalls — and build smarter.

1. Cache Everything That Doesn’t Change Often

Fare rules, vehicle types, delivery zones, and even driver availability lists don’t need to hit the database on every request.
What I did:

• Cached fare rules in Redis with a TTL of 10 minutes
• Stored available drivers by zone and vehicle type in memory (Node.js) or Redis hash (Laravel)
• Cached static data like support FAQs and zone maps for 1 hour

2. Use Geo-Hashing for Faster Location Queries

When the driver base grew in large cities, querying every driver’s GPS coordinate slowed down real-time features.
Fix: I implemented geohashing, breaking the map into indexed zones, and only searched drivers within nearby hashes. Both MongoDB and MySQL spatial queries improved drastically.

3. Decouple Price Calculation from Order Flow

Initially, I bundled pricing with order creation, which caused issues when users refreshed or retried.
Fix: Created a standalone /fare-estimate endpoint that calculates and caches a fare token. Only the token is submitted during order creation, preventing abuse or race conditions.

4. Mobile Design Considerations

Your mobile UX will make or break adoption — especially in markets where most users are on budget Android devices.
Tips:

• Use bottom navigation (easier on thumbs)
• Lazy-load maps and large assets
• Debounce inputs like location search or OTP fields
• Show real-time feedback during delivery stages (loading spinners, “driver is en route”, etc.)

5. Scale with Queues & Webhooks

Don’t try to do everything in a single HTTP request. Queue things like:

• Sending SMS/emails
• Notifying admins or drivers
• Processing webhook callbacks (e.g., payment status from Razorpay)
  In Node.js, I used bull with Redis. In Laravel, jobs with queues and Supervisor.

6. Design for Fallbacks

APIs go down. GPS fails. Drivers turn off phones.
I built fallback logic to:

• Retry failed API calls automatically (with exponential backoff)
• Show last known location instead of nothing
• Allow manual reassignments from admin in case of stuck jobs

7. Separate Driver App Logic from Customer App Logic

Even if you build a single app for both user types (like in React Native), the UI and logic must be fully isolated.

• Separate dashboards, notifications, tracking logic
• Split authentication flows and roles early on
  It keeps complexity in check and makes future updates safer.

By thinking beyond just building features — and instead planning for performance, scale, and edge cases — you save tons of time and headache down the road.

Final Thoughts: Custom Build vs Ready-Made Clone

After building the Lalamove clone from scratch in both JavaScript and PHP stacks, I can confidently say this — while developing such a platform is totally doable, it’s also complex, time-consuming, and often full of surprises. The tech itself is manageable, but the real challenge lies in balancing speed, scale, reliability, and cost.

When to Go Custom

If you’re building a logistics app that’s highly niche or has requirements that are vastly different from Lalamove — like decentralized fleet partnerships, blockchain-based tracking, or AI-driven route optimization — then going custom might be the right move. You’ll need full control over data flows, architecture, and integrations.

But expect higher development time, long testing cycles, and a larger dev team to maintain feature parity across user types, mobile and web, and real-time systems.

When to Go with a Clone Script

For most founders and agencies, a well-structured Lalamove clone solution will cut down 90% of the launch time and reduce costs by half — without compromising on flexibility. A good clone product should still allow you to customize branding, pricing logic, zone structures, and integrate your own delivery partners or payment gateways.

I designed the Lalamove clone architecture at Miracuves to reflect this very mindset — a foundation strong enough to run production-grade logistics operations, yet modular and flexible enough to evolve with your business.

Whether you want to launch in one city or across countries, the choice is yours — but building from a proven, well-coded base will get you into the market faster and smarter.

FAQs: Founder-Focused Questions Answered

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