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Zerin Zaker's avatar
Zerin Zaker
proDhaka, Bangladesh
Brand & Motion Designer | AI Video, Visual Identity, UI/UX
$5k+
Earned
15x
Hired
4.7
Rating
336
Followers
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Brand & Motion Designer | AI Video, Visual Identity, UI/UX
Cover image for Elyse Residence Luxury Real Estate Website Design
Elyse Residence Luxury Real Estate Website Design
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19
Cover image for Website Design for AJP Jiu-Jitsu Tournament Platform
Website Design for AJP Jiu-Jitsu Tournament Platform
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11
Cover image for Monex Website Design - Financial Management Platform
Monex Website Design - Financial Management Platform
1
6
Cover image for AI-Powered Wine Website Design - VineWinner
AI-Powered Wine Website Design - VineWinner
1
9
Node.js(5)
Delower Hasan's avatar
Delower Hasan
proDhaka, Bangladesh
Senior Full-Stack SaaS Engineer | Next.js, AWS DevOps & AI
5.0
Rating
21
Followers
Senior Full-Stack SaaS Engineer | Next.js, AWS DevOps & AI
Cover image for AI-Powered Telegram Support System with Zendesk Integration
AI-Powered Telegram Support System with Zendesk Integration
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4
Cover image for SmashPay – Web3 Wallet & Payment Platform
SmashPay – Web3 Wallet & Payment Platform
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Cover image for SilverSitting – Caregiver Discovery Platform
SilverSitting – Caregiver Discovery Platform
1
7
Cover image for Sophire – Sports Club Matching
Sophire – Sports Club Matching & Career Opportunities SaaS Platform
1
170
Node.js(4)
Pranto Chakraborty Mithun's avatar
Pranto Chakraborty Mithun
Dhaka, Bangladesh
Senior Software Engineer | From Idea to Production Ready
5.0
Rating
29
Followers
Senior Software Engineer | From Idea to Production Ready
Cover image for All-in-One Healthcare SaaS Platform Development
All-in-One Healthcare SaaS Platform Development
4
12
Cover image for SaaStacKit - All-in-One SaaS Boilerplate for AI Tools & Web App
SaaStacKit - All-in-One SaaS Boilerplate for AI Tools & Web App
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Cover image for Helen AI - AI-Powered Interview Automation System
Helen AI - AI-Powered Interview Automation System
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Cover image for Full Stack Hotel Booking Web App Built for Higher Conversion...
Full Stack Hotel Booking Web App Built for Higher Conversions This hotel listing and booking platform was built to help hotels convert visitors into confirmed bookings while simplifying management for owners. Developed using Next.js, Node.js, Express, PostgreSQL, Redis, Docker, and NGINX, the app delivers speed, reliability, and real-time interaction. How this app increases bookings: Advanced filters help users find the right hotel faster Real-time room availability reduces drop-offs Integrated chat builds trust and answers questions instantly Secure payments remove friction at checkout Reviews and ratings increase booking confidence Result: A scalable, high-performance hotel booking platform that improves user experience, increases direct bookings, and gives hotel owners full control through an admin dashboard.
4
496
Node.js(5)
Redowan Trafder's avatar
Redowan Trafder
Dhaka, Bangladesh
I design and build automation,web & software products
7
Followers
I design and build automation,web & software products
Cover image for From Fiverr payout problems to
From Fiverr payout problems to my first payment on Contra 🚀 Today is a special day for me. I just received my project payment on Contra and the story behind it is probably more interesting than the payment itself. I started freelancing on Fiverr, and for a long time it was my main platform for working with international clients. Recently, I was working on a large software project for a Canadian client. This wasn't a simple website project. I was developing a complete Lottery POS & Management Software including the POS system, seller management, ticket generation, thermal printing, draw management, commissions, reporting, role-based access, QR/barcode workflows, offline synchronization, and the overall backend architecture. The project was divided into multiple milestones. Everything was going smoothly. Until the final milestone. Then Fiverr happened. When I was ready to receive the final project payment, my Payoneer account was suddenly closed without any clear reason. That created a serious problem. The project was completed, the client was ready to pay, but my normal payout route was suddenly unavailable. At that point, I had two choices: Keep trying to solve the payout problem... or find a better way to handle the project. So I talked to my client and suggested: "Why don't we move the project to Contra?" The client agreed. And that's how I ended up here. Today, I received my payment on Contra. Honestly, the feeling is different. It's not just: "I got paid." It's: "I successfully delivered a real software product to an international client, moved the project to a new platform when things went wrong, and still managed to complete the payment successfully." That feels rewarding. This project also reminded me why I enjoy software development so much. I wasn't just designing screens or building a landing page. I was working on an actual business system that needs to handle: → Sellers → POS terminals → Lottery tickets → Draws → Commissions → Printing → Reports → Permissions → Data synchronization → Future scalability That's the kind of work I want to do more of. Real software. Real businesses. Real problems. And now I'm officially starting my Contra journey. Huge thanks to my client for trusting me through the transition from Fiverr to Contra, and thanks to the Contra community for being part of this next chapter. First payment on Contra: received. Next milestone: build bigger software. 🚀
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Cover image for SmoothSe Development Journey and Product Case
SmoothSe Development Journey and Product Case Study Project Overview SmoothSe is a business management platform designed for small D2C brands that operate across multiple sales channels. Instead of managing Shopify orders, marketplace orders, retail sales, popup-event transactions, inventory, customer information, invoices, and business analytics separately, SmoothSe brings these operational workflows into one system. (Shopify App Store (https://apps.shopify.com/smoothse)) The product focuses on five major operational areas: The goal is to give D2C founders a single operational view instead of forcing them to switch between multiple systems. 1. The Business Problem A growing D2C brand rarely operates through Shopify alone. A merchant may receive orders from: At the same time, inventory may exist across multiple physical and online locations. This creates a fragmented workflow: The merchant has to reconcile information across different systems. SmoothSe addresses this by creating a central operational layer. 2. Product Objective The product was designed around a straightforward operational objective: Give small D2C brands one place to manage their business operations. Instead of treating each sales channel independently, SmoothSe connects them to a shared operational system. 3. Core Product Modules The application combines several operational modules. The Shopify listing specifically highlights multi-location inventory, cross-channel order management, GST-compliant invoices, customer segmentation, popup and retail selling, digital receipts, data insights, and AI-driven business insights. (Shopify App Store (https://apps.shopify.com/smoothse)) 4. Development Journey Phase 1: Operational Workflow Discovery The first challenge was understanding that the problem was not simply "Shopify management." The target customer operates across several environments. The application therefore needed to work as an operational hub rather than another isolated Shopify utility. 5. Phase 2: Multi-Channel Order Management One of the central problems is order fragmentation. Instead of checking individual platforms: the system brings the operational data into one place. This gives the merchant a unified view of sales activity. The Shopify listing specifically describes synchronization and management of orders from Shopify and other sales channels. (Shopify App Store (https://apps.shopify.com/smoothse)) 6. Phase 3: Inventory Architecture Multi-channel selling creates a difficult inventory problem. If the same product is sold through Shopify, a popup event, and a retail location, inventory must remain synchronized. A simplified flow is: The application supports multi-location inventory management and real-time inventory synchronization. The Shopify listing also identifies forecasting, optimization, reports, and inventory value overview as supported capabilities. (Shopify App Store (https://apps.shopify.com/smoothse)) 7. Phase 4: Order and Inventory Relationship Order management and inventory cannot operate independently. When an order is created: When inventory changes at a physical location: This relationship is one of the core operational challenges of a multi-channel commerce platform. 8. Phase 5: GST Invoice Automation For businesses operating in India, invoicing introduces additional requirements. Instead of manually preparing invoices for every order, SmoothSe provides automated GST-compliant invoicing and reporting. (Shopify App Store (https://apps.shopify.com/smoothse)) The workflow becomes: The product listing specifically highlights one-click GST invoice generation and automated GST-compliant invoices and reports. (Shopify App Store (https://apps.shopify.com/smoothse)) 9. Phase 6: Popup and Retail Operations D2C brands often sell outside their online store. Examples include: These transactions still need to become part of the merchant's overall business records. SmoothSe supports popup and retail selling, including payment collection, customer capture, and digital receipts. (Shopify App Store (https://apps.shopify.com/smoothse)) A simplified workflow: 10. Phase 7: Rapid Popup Order Entry Popup environments create a different UX requirement. A salesperson may need to record an order while interacting directly with a customer. The process needs to be faster than a traditional back-office workflow. SmoothSe's listing specifically highlights rapid order recording by voice for popup events. (Shopify App Store (https://apps.shopify.com/smoothse)) Conceptually: This is particularly relevant for temporary retail environments where speed directly affects the number of customers a salesperson can process. 11. Phase 8: Customer Management Customer information is generated across multiple channels. Instead of maintaining separate customer records: the platform can centralize customer information. The application also supports customer segmentation and messaging across channels. (Shopify App Store (https://apps.shopify.com/smoothse)) 12. Phase 9: Business Analytics Once orders, inventory, customers, and financial information exist in one system, the platform can provide a broader business view. Instead of looking at individual operational records: the system can combine them into business-level insights. This moves the product beyond basic order management. 13. Phase 10: AI Business Assistant One of the more advanced components is the built-in AI assistant. Instead of requiring the merchant to manually inspect dashboards, the system can answer questions using live business data and surface potential growth opportunities. (Shopify App Store (https://apps.shopify.com/smoothse)) The conceptual architecture is: Example questions could include: The purpose is to turn operational data into actionable information. 14. Phase 11: Unified Business Dashboard The platform's value depends on how quickly a merchant can understand the state of the business. A useful dashboard structure is: This creates a single operational entry point for the merchant. 15. Technical Architecture A simplified architecture for the platform can be represented as: Supporting services would include: 16. Data Architecture A simplified domain model can be represented as: The important relationship is: This provides the foundation for unified reporting. 17. Synchronization Challenges A multi-channel commerce platform has a synchronization problem that a standard single-store application does not. For example: A sale at a popup event changes the available inventory. The system therefore needs reliable synchronization between operational locations and sales channels. Potential failure cases include: These require validation, retry logic, event handling, and clear source-of-truth rules. 18. Security and Data Access The platform handles sensitive business and customer information. The Shopify App Store listing indicates access to customer information, products, inventory, orders, locations, and store-owner information. (Shopify App Store (https://apps.shopify.com/smoothse)) The architecture therefore needs strong controls around: For a multi-store SaaS application: Data belonging to one merchant must never become accessible to another merchant. 19. User Experience Strategy The product serves users who are not necessarily technical. The interface therefore needs to prioritize: The complexity should remain in the backend. For example, a merchant should see: rather than needing to understand how synchronization between multiple channels works. 20. Current Product Validation SmoothSe launched on the Shopify App Store on July 22, 2026. At the time of this review, the listing shows a 5.0 rating from 2 reviews. (Shopify App Store (https://apps.shopify.com/smoothse)) The two published reviews specifically mention: Fast Shopify integration Easy setup Centralized business management Popup and online order management GST invoice generation Responsive customer support (Shopify App Store (https://apps.shopify.com/smoothse)) Because the product is still very early in its App Store lifecycle, the current review count should be considered early user validation rather than evidence of mature product-market fit. 21. What Makes SmoothSe Technically Interesting The interesting part of the product is not any individual feature. It is the connection between multiple operational systems. The platform is essentially an operational data layer connecting sales, inventory, customers, finance, and business intelligence. 22. Key Engineering Decisions Unified Operational Layer Instead of building isolated tools for each channel, the product connects them through one operational system. Centralized Inventory Inventory is treated as a shared business resource rather than separate channel-specific numbers. Shopify Integration Shopify remains an important commerce channel while SmoothSe provides broader operational management. Event-Based Synchronization Changes in orders and inventory need to propagate between connected systems. AI on Business Data The AI assistant operates on business information instead of functioning as a generic chatbot. Modular Architecture Orders, inventory, customers, invoices, analytics, and AI can evolve independently while sharing common business data. 23. Future Development Opportunities The current architecture creates several natural expansion opportunities. Advanced Forecasting Automated Reordering Advanced Customer Intelligence AI Business Operations The AI layer could evolve from answering questions into actively recommending actions. Examples: 24. Development Lessons 1. Solve the Operational Problem, Not Just the Shopify Problem The merchant's problem extends beyond Shopify. 2. Centralized Data Creates More Value Than Isolated Features Orders become more useful when they connect to customers, inventory, invoices, and analytics. 3. Multi-Channel Systems Need Strong Synchronization Data consistency becomes a core engineering problem as soon as multiple sales channels are involved. 4. Offline Commerce Should Still Become Digital Business Data Popup and retail transactions should eventually become part of the same reporting system as online sales. 5. AI Becomes More Useful When Connected to Real Business Data A business assistant becomes significantly more valuable when it can reason about actual orders, inventory, customers, and revenue. 25. Final Product Summary Product: SmoothSe Platform: Shopify + Multi-Channel Commerce Category: ERP / Business Management Target Users: Core Modules: Core Product Flow: 26. Final Case Study Statement SmoothSe was built around a specific operational problem faced by growing D2C brands: business data becomes fragmented as the brand expands beyond a single Shopify storefront. The product addresses this by connecting online orders, marketplace activity, retail sales, popup transactions, inventory, customers, invoices, and business analytics into a unified operational platform. The resulting architecture can be summarized as: The core engineering challenge is maintaining a consistent view of the business while data continuously enters the system from different channels and physical locations. That makes SmoothSe more than a Shopify management application. It is designed as an operational control layer for multi-channel D2C businesses.
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Cover image for Case Study: Simple Tagger -
Case Study: Simple Tagger - Shopify Store Automation App 1. Executive Summary Simple Tagger – Automate Tag is a Shopify automation application designed to help merchants automatically organize and classify their store data using configurable tagging rules. Instead of manually tagging customers, products, and orders, merchants can define conditions that trigger automated tagging actions. This transforms repetitive administrative work into an automated workflow. The product follows a straightforward automation model: Event/Data → Conditions → Rule Evaluation → Automatic Tag → Activity Tracking The app is positioned as an affordable Shopify micro-SaaS product, with subscription plans beginning at approximately $4/month. 2. Business Problem Shopify merchants frequently need to categorize their customers, orders, and products. For example, a merchant may want to identify: High-value customers Large orders Customers from specific countries Specific product categories Repeat customers Special customer segments Orders requiring manual attention Without automation, merchants have to repeatedly inspect Shopify data and manually assign tags. This creates several problems: Time consumption Manual tagging becomes increasingly difficult as order volume grows. Human error Merchants may forget to tag an order or apply the wrong tag. Inconsistent store organization Different staff members may use different tagging conventions. Poor scalability Manual workflows become impractical for high-volume Shopify stores. Limited operational visibility Merchants need to know whether automation rules are actually executing successfully. Simple Tagger addresses these problems by turning tagging into an automated rules-based process. 3. Product Solution The central concept of Simple Tagger is a configurable automation engine. A merchant creates a rule containing: Trigger / Data Condition → Logical Conditions → Tagging Action For example: Example 1: High-Value Order Condition: Order value > $1,000 Action: Add tag: VIP-ORDER Example 2: Geographic Customer Segmentation Condition: Customer location = Canada Action: Add tag: CANADA Example 3: Product-Based Classification Condition: Product type = Shoes Action: Add tag: SHOES Example 4: Multiple Conditions Conditions: Product type = Shoes AND Order value > $200 Action: Add tag: HIGH-VALUE-SHOE-ORDER This allows merchants to create more sophisticated store-management workflows without writing code. 4. Core Product Features 4.1 Automated Tagging The primary feature automatically applies tags to Shopify objects according to predefined rules. Supported objects include: Orders Customers Products This eliminates repetitive manual classification. 4.2 Multi-Condition Rules The application supports rules involving multiple conditions. Instead of creating a separate automation for every possible scenario, merchants can combine conditions to create more precise workflows. For example: Customer location = United States AND Order value > $500 → Apply: US-HIGH-VALUE This increases the flexibility of the automation engine. 4.3 Real-Time Processing The application is designed around real-time automation. When relevant Shopify events occur, the system evaluates the applicable rules and executes the corresponding tagging action. This means merchants do not necessarily need to manually initiate a synchronization process. 4.4 Activity Monitoring Automation systems require visibility. Simple Tagger includes activity/logging functionality that allows merchants to monitor automation activity and understand whether rules are executing successfully. This provides operational transparency and helps identify problems with automation rules. 4.5 Rule Templates The application includes predefined templates intended to help merchants create common automation workflows more quickly. This reduces the learning curve for users who may not understand automation logic immediately. 4.6 Bulk Reprocessing Higher-tier functionality provides bulk reprocessing capabilities. This is particularly useful when a merchant creates a new rule and wants it applied to existing Shopify data rather than only future events. For example: A merchant creates: Order > $500 → VIP They may then need the rule applied to historical orders. Bulk processing makes that possible at scale. 4.7 Workflow Builder The higher-tier product offering includes a workflow-building capability. This indicates a progression from simple single-condition tagging toward more sophisticated automation workflows. The product therefore has the potential to evolve from a tagging utility into a broader Shopify workflow automation platform. 5. User Workflow A typical merchant workflow can be represented as follows: This workflow keeps the merchant interaction simple while moving the complexity into the automation engine. 6. Target Customers The product is primarily relevant to Shopify merchants who have enough operational volume to benefit from automation. Primary Customers Growing Shopify stores High-order-volume merchants Multi-product stores Stores with customer segmentation requirements Stores with complex order-management workflows Shopify agencies managing multiple stores Secondary Customers Shopify consultants E-commerce operations teams Marketing teams Customer-support teams Merchants performing CRM segmentation 7. Pricing Strategy The product uses a tiered SaaS subscription model. Plan Approx. Monthly Price Intended Customer Basic $4/month Small stores Growth $20/month Growing stores Pro $59/month Advanced merchants Business $199/month High-volume businesses Annual billing is also offered at discounted rates. The pricing strategy follows a common SaaS progression: Low entry price → Increased usage limits → Advanced functionality → Enterprise-scale usage This allows merchants to start with a low financial commitment and upgrade as their automation requirements grow. 8. Monetization Model The product uses recurring subscription revenue rather than a one-time purchase. The primary monetization variables are: Number of automation rules Number of automation executions/runs Advanced workflow functionality Bulk processing Higher operational limits This is a strong model for a Shopify application because the merchant's usage tends to increase together with store growth. A simplified revenue model is: MRR = Paying Stores × Average Revenue Per Store For example: If an application reaches: 1,000 paying stores with an average revenue of: $20/month then: MRR = $20,000 and: ARR = $240,000 This demonstrates why relatively small Shopify utilities can become attractive SaaS businesses when distribution is strong. 9. Technical Product Architecture A likely high-level architecture for this type of application would be: A scalable implementation would typically separate: Shopify Integration Layer Responsible for: OAuth API communication Webhooks Store authentication Shopify data synchronization Rule Engine Responsible for: Condition evaluation AND/OR logic Rule prioritization Rule activation/deactivation Execution Engine Responsible for: Applying actions Handling retries Preventing duplicate execution Recording execution results Data Layer Stores: Merchant/store information Rules Conditions Actions Execution history Usage statistics Application configuration Monitoring Layer Tracks: Successful executions Failed executions Processing time API errors Rule activity Usage limits 10. Security and Permissions Because the application interacts with Shopify customer, product, and order data, permission management is an important part of the product architecture. The application requires access to relevant Shopify resources to perform its automation functionality. Potential security considerations include: OAuth-based store authentication Shopify access-token protection Least-privilege API scopes Secure webhook validation Encryption of sensitive credentials Tenant isolation Audit logging Rate-limit handling Secure API communication Data-retention policies For a production Shopify SaaS, multi-tenant isolation is particularly important because one application's backend may serve many independent Shopify stores. 11. UX Strategy The product benefits from having a relatively simple user experience despite the complexity of the underlying automation system. The ideal UX can be structured around five steps: Step 1 — Select Object Choose: Order Customer Product Step 2 — Define Condition Example: Order Value > $500 Step 3 — Select Action Example: Add Tag → VIP Step 4 — Activate Turn the automation on. Step 5 — Monitor Review execution history and success/failure information. This reduces the cognitive load compared with traditional workflow automation systems. 12. Competitive Positioning Simple Tagger operates in a useful niche between: Manual Shopify administration and Large-scale workflow automation platforms Its competitive advantage can be summarized as: Simple automation focused specifically on Shopify tagging and store organization. Rather than attempting to solve every possible e-commerce automation problem, the product focuses on a narrow operational problem. This can be advantageous because a narrowly defined product can communicate its value more clearly. 13. Strengths 1. Clear Problem Definition The application solves a specific operational problem rather than attempting to be an overly broad platform. 2. Low Entry Price A low starting price reduces adoption friction for small Shopify merchants. 3. Recurring Revenue The subscription model creates predictable recurring revenue potential. 4. Automation Value The product saves merchants repetitive operational work. 5. Expandable Architecture Tag automation can potentially evolve into broader Shopify workflow automation. 6. Scalable Customer Model The SaaS model allows the same software infrastructure to serve many Shopify stores. 14. Potential Weaknesses The product also faces several challenges. Limited Initial Scope Tagging alone may not provide enough value for some merchants to justify higher subscription prices. Strong Competition Shopify already has a large ecosystem of automation and workflow applications. Platform Dependency The application depends heavily on Shopify APIs, policies, rate limits, and platform changes. Retention Challenge Once merchants configure their rules, the product can become a "set-and-forget" utility. This can reduce engagement unless the application continuously demonstrates operational value. Discoverability A Shopify App Store application needs strong: SEO Reviews Screenshots App Store conversion Merchant trust Onboarding to compete successfully. 15. Growth Opportunities The product could expand beyond simple tagging. Potential future capabilities include: Customer Automation Customer segmentation VIP identification Customer lifecycle tags Repeat-purchase detection Order Automation Fraud-risk classification High-value order detection Fulfillment categorization Geographic routing Product Automation Inventory-based tags Product lifecycle tags Collection automation Supplier-based classification Marketing Automation Integration with: Email platforms SMS platforms CRM systems Advertising platforms This could turn the application into a broader: Shopify Store Automation Platform rather than simply a tagging application. 16. Strategic Analysis The most interesting aspect of Simple Tagger is not the tagging feature itself. The strategic opportunity is the automation engine underneath it. Tagging is simply the initial use case. Once the application has: Shopify event processing Condition evaluation Rule management Action execution Execution monitoring Merchant configuration Usage metering the same infrastructure can support many other actions. For example: At that point, the product moves from a tagging application toward a general-purpose Shopify automation platform. 17. Business Model Opportunity A broader version of the product could use a usage-based SaaS model. Possible pricing dimensions: Rules Number of active workflows. Executions Number of automation runs. Stores For agencies managing multiple Shopify stores. Advanced Actions Premium integrations and workflow actions. Historical Processing Premium access to bulk/historical processing. This provides multiple opportunities for expansion revenue. 18. Key Lessons The product demonstrates several important SaaS principles. Lesson 1: Solve a Small Problem First A narrowly defined operational problem can be easier to market than a large, complicated platform. Lesson 2: Automation Creates Recurring Value If the product continuously saves merchant time, subscription pricing becomes easier to justify. Lesson 3: Usage-Based Limits Create Natural Upgrade Paths Small merchants can start cheaply while larger merchants pay more because they consume more resources. Lesson 4: Infrastructure Can Become the Real Product The initial tagging functionality can serve as an entry point into a much larger automation ecosystem. Lesson 5: Shopify Provides a Large Distribution Platform Building on Shopify gives developers access to a large ecosystem of merchants, but competition and platform dependency must be considered. 19. Conclusion Simple Tagger – Automate Tag represents a focused Shopify SaaS product built around a straightforward business problem: automating repetitive store classification and tagging tasks. Its product strategy combines: Simple automation Rule-based conditions Real-time processing Activity monitoring Tiered subscriptions Usage-based limitations Advanced functionality for larger merchants The strongest long-term opportunity is not merely selling automated tags. The underlying rule engine can become the foundation for a much broader Shopify automation platform. From a business perspective, the product illustrates how a relatively narrow operational problem can be converted into a recurring-revenue SaaS product when the solution is easy to understand, inexpensive to adopt, and capable of scaling with merchant usage.
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Cover image for I developed a complete, scalable POS platform for a growing ...
I developed a complete, scalable POS platform for a growing business, with a strong focus on reliability, security, hardware readiness, and long-term scalability. The project was valued at $7,000+ and involved building the core POS experience, administrative management system, backend architecture, authentication, transaction workflows, reporting, device management, and a foundation designed to support up to 5,000 POS devices. The most important part of the project was understanding the business requirements first and then translating them into a practical software system. The development also included dedicated support and a structured issue-reporting portal, allowing the client to report problems directly and receive ongoing development support. The initial development timeline was around 6 weeks, but the core system was delivered significantly earlier, in approximately 4 weeks, while maintaining a strong focus on functionality and stability. This project involved much more than simply building screens. It required designing the underlying architecture so the platform could grow with the business, while keeping the system maintainable and ready for future hardware and operational integrations.
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Node.js(3)
Md Rajibul Ahsan's avatar
Md Rajibul Ahsan
proDhaka, Bangladesh
Full-Stack App & Web Developer | AI & Store Launch , UI/UX
19
Followers
Full-Stack App & Web Developer | AI & Store Launch , UI/UX
Cover image for 97+ projects. 97% job success.
97+ projects. 97% job success. Swipe to see how we got here → We're AttoExa Solutions - a Dhaka-based team building for US and EU businesses in construction, real estate, and B2B services. What we actually do: → Custom mobile apps (Flutter, React Native) → Full-stack web development → AI agents that answer calls, qualify leads, and handle support — built on n8n, Vapi, ElevenLabs, and Go High Level Website - https://attoexasolutions.com/ (https://attoexasolutions.com/)Upwork - https://www.upwork.com/freelancers/rajibulahsan?mp_source=share (https://www.upwork.com/freelancers/rajibulahsan?mp_source=share)Email - contact@attoexasolutions.org (mailto:contact@attoexasolutions.org)#softwaredevelopment (https://www.instagram.com/explore/tags/softwaredevelopment/?hl=en) #aiautomation (https://www.instagram.com/explore/tags/aiautomation/?hl=en) #techstartup (https://www.instagram.com/explore/tags/techstartup/?hl=en) #smallbusiness (https://www.instagram.com/explore/tags/smallbusiness/?hl=en) #digitalagency (https://www.instagram.com/explore/tags/digitalagency/?hl=en) #b2b (https://www.instagram.com/explore/tags/b2b/?hl=en) #webdevelopment (https://www.instagram.com/explore/tags/webdevelopment/?hl=en) #appdevelopment (https://www.instagram.com/explore/tags/appdevelopment/?hl=en)
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Cover image for Build Your Own Ride-Sharing Platform
Build Your Own Ride-Sharing Platform 🚘 What does it take to build a modern ride-sharing experience from rider request to completed trip? At AttoExa Solutions, we design and develop complete mobility platforms tailored to your brand, market, and business model. A custom solution can include: • Rider & Driver mobile apps • Real-time GPS tracking • Smart driver matching • Ride booking & fare calculation • Secure payment integration • Push notifications • Driver verification & safety features • Admin & operations dashboard • Scalable backend and APIs The goal isn't just to build another taxi app — it's to create a reliable platform that can grow with the business. From concept → UI/UX → development → backend → launch. Working on a ride-sharing, transportation, or mobility product? Let’s build it. 🚀 #MobileAppDevelopment #RideSharing #Flutter #AppDevelopment #SaaS #ProductDevelopment
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Cover image for A client handed us a
A client handed us a spreadsheet with 47 features on it. We told them to build 4. They wanted everything their competitor had, plus every "nice to have" a user had ever mentioned. We asked one question: "What's the one thing this needs to do well?" Silence. So we cut it down. 4 features, done properly. Three months later - higher activation than their old, "complete" product ever had. Users didn't miss the other 43. They were too busy using the thing that actually worked. More features isn't ambition. It's often fear, wearing a to-do list. Build the right thing. Not the long thing. Website - https://lnkd.in/gQYHTRGA (https://lnkd.in/gQYHTRGA)Upwork - https://lnkd.in/gurdsM4j... Email - contact@attoexasolutions.org (mailto:contact@attoexasolutions.org)📩 Staring at your own feature spreadsheet? Let's talk about what to cut.
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Cover image for 🚀 Smart POS Solutions for
🚀 Smart POS Solutions for Modern Businesses At AttoExa Solutions, we build powerful POS systems designed to make everyday business operations faster, easier, and more efficient. Our POS solutions can include: ✅ Fast & efficient billing ✅ Secure payment processing ✅ Barcode scanning ✅ Inventory & sales management ✅ Real-time reports and analytics ✅ Cloud synchronization ✅ Multi-device support ✅ Custom features based on your business needs Whether you run a restaurant, café, retail store, supermarket, or growing business, we can build a POS solution tailored to your workflow. 💡 Have a POS idea or need to upgrade your existing system? Let’s build it. 🌐 https://attoexasolutions.com/ (https://attoexasolutions.com/)📧 contact@attoexasolutions.com (mailto:contact@attoexasolutions.com)📞 +880 1607-472962 #POS #PointOfSale #RetailTechnology #RestaurantTechnology #SoftwareDevelopment #BusinessAutomation #SaaS #CustomSoftware #AttoExaSolutions
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Node.js(2)