Full-Stack Developer for Availability

@shrec

Hello, I have solid experience building scalable SaaS platforms with real-time monitoring, queue processing, and multi-client architectures using Node.js, Playwright, PostgreSQL, Redis, and React. I can design a robust monitoring engine with structured logging, retry logic, session management, and a queue-based architecture to support 100+ concurrent clients, along with real-time email/WhatsApp notifications and a comprehensive admin dashboard. I recommend a Dockerized microservice-friendly architecture to ensure scalability, reliability, and future growth. I can deliver a production-ready MVP with documentation and provide 6 months of bug-fix support, and I’m available to start immediately.

@AwaisChaudhry

With an extensive background in full-stack development and specialization in areas fundamental to this project, I am confident in my ability to create a robust and scalable availability monitoring and client management system for your business. My team at ZAWN Tech has successfully delivered complex projects that align with your preferred stack, including Node.js, React, PostgreSQL, Redis/Queue system, Docker. Open to any architectural suggestions that may arise during the development process. Given the real-time nature of the application, I understand the need to build a monitoring engine capable of continuous availability checking and near real-time detection. My expertise in system logging and error handling logic will ensure reliable and efficient structures for the system's success. Client management is also crucial- to that end, my team will develop a flexible multi-client support solution allowing the configuration of specific needs per client. In addition, we will incorporate an intuitive admin dashboard enabling live monitoring status, detection history, system health indicators along with manual pause/resume control. Lastly, I ensure to deliver not just an MVP but a fully functional system alongside comprehensive source code documentation within expected timelines. Let us transform your vision into a tangible reality!

@irsolutions

With over 10 years of experience in full-stack development, I understand the importance of building a scalable availability monitoring and client management system for your project. Your requirements for real-time monitoring, multi-client support, and notification systems align perfectly with my expertise in Node.js, PostgreSQL, and React. In the fintech sector, I have successfully delivered similar projects that required continuous availability checking, structured logging, and real-time alerts. My experience in building admin dashboards with live monitoring status and client management features will ensure seamless operation for your platform. I am excited to collaborate with you on this project and deliver a working MVP system that exceeds your expectations. Let's take your idea from concept to reality together. Feel free to reach out to discuss further details or ask any questions.

@vishal1145

Your queue system will collapse if you're polling 100+ clients synchronously - you'll hit timeout cascades and miss availability windows during peak hours. This needs event-driven architecture with proper backpressure handling from day one. Before architecting the solution, I need clarity on two things: What's your expected check frequency per client (every 30 seconds vs 5 minutes changes infrastructure costs by 10x), and are you scraping third-party booking sites or hitting their APIs? Rate limits will dictate whether we use Playwright with rotating proxies or direct API calls with exponential backoff. Here's the architectural approach: - NODE.JS + BULL: Implement priority-based job queues with Redis to process 100+ clients concurrently without blocking. Each client gets isolated workers that auto-scale based on load. - PLAYWRIGHT + STEALTH: Build headless browser automation with anti-detection patterns and session persistence to avoid CAPTCHA triggers during continuous monitoring. - POSTGRESQL + TIMESCALEDB: Store detection history in time-series tables optimized for range queries. This handles millions of availability checks without degrading dashboard performance. - REDIS CACHING: Cache availability states with TTL to prevent redundant checks and reduce database writes by 70%. Pub/sub channels push real-time updates to the dashboard. - DOCKER COMPOSE: Containerize workers, API, and database with health checks and auto-restart policies. This prevents single-point failures when a scraper crashes. - WHATSAPP BUSINESS API: Integrate Twilio or MessageBird with template message approval and delivery tracking to ensure compliance with messaging limits. I've built 3 similar monitoring systems that processed 50K+ checks daily without downtime. Quick question - do you already have WhatsApp Business API approval, or do we need to factor in the 2-week Meta review process? Let's schedule a 20-minute call to walk through failure scenarios before you commit to the build.

@Julian29

Hello, HAVE HANDS-ON EXPERIENCE WITH SUCH PROJECT. I have 15+ years of proven experience in full-stack development and SaaS platforms and confidently understand your requirement. The goal is to build a scalable availability monitoring system with real-time client notifications and multi-client management, designed for reliability and extensibility. -->> Continuous availability monitoring with error handling and structured logging -->> Multi-client configuration and queue-based session management -->> Real-time notifications via Email and WhatsApp APIs -->> Admin dashboard with live status, client management, and health indicators -->> Retry logic, detection history, and manual control features My approach focuses on clean architecture, secure APIs, efficient automation with Playwright/Node.js, and a modular React frontend with Dockerized deployment. I would start by defining the monitoring engine and client config structure, then build notification workflows and dashboard components iteratively. I have a few questions regarding notification frequency and multi-client priorities to clarify before proceeding. Confident we can successfully deliver a robust MVP with full documentation and support. Thanks & regards, Julian

@corpmember29

I HAVE BUILT AND DELIVERED SIMILAR REAL-TIME AVAILABILITY MONITORING AND MULTI-CLIENT SAAS SYSTEMS BEFORE AND I CAN SHOW YOU. I am a full-stack developer with 10+ years of experience in Node.js, React, PostgreSQL, Redis/queues, automation frameworks (Playwright), and Docker, working on scalable SaaS platforms with real-time processing. For this project, I will design and implement a scalable availability monitoring system with a robust monitoring engine (near real-time checks, retry/error handling, structured logging), multi-client configuration (location, date range, time preferences, priority), and queue-based session management to safely handle 100+ concurrent clients. The system will include real-time notifications via Email and WhatsApp APIs, and a secure admin dashboard for client management, live monitoring status, detection history, health indicators, and manual pause/resume controls. User roles will include: Admin, Client, and System Worker (queue/monitoring services). I WILL PROVIDE 2 YEAR FREE ONGING SUPPORT AND COMPLETE SOURC CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STOIRES. You will receive a working MVP, clean and maintainable source code, Dockerized deployment, and clear documentation. I eagerly await your positive response. Thanks.

@Microlent

Hello! I can build a scalable SaaS-style availability monitoring platform that detects new slots in near real time, manages multiple clients smoothly, and delivers reliable alerts without performance bottlenecks. Here’s how I’d approach it: • Node.js monitoring engine using Playwright with smart retries, throttling, and structured logging • Redis-backed queue system to handle 100+ concurrent client sessions safely • PostgreSQL schema for clients, slot rules, detection history, and system state • Real-time detection triggers with email and WhatsApp API notifications • React admin dashboard showing live monitors, configs, alerts, and system health • Fully Dockerized services for easy deployment and scaling Deliverables: • Working MVP monitoring system • Clean, documented source code • Admin dashboard with live controls and reporting • Deployment and scaling guide • 6 months post-launch bug support I specialize in real-time automation platforms that stay stable under high concurrency. If you can share target sites and expected alert volume, I can finalize the architecture immediately. Best regards, Jasmin

@Rekhathakur

With my extensive experience as a Full-Stack Developer, especially in utilizing AngularJS, Node.js, and PostgreSQL, I have complete confidence in delivering an Availability Monitoring and Client Management System that checks all the necessary boxes. My team at WellSpring Infotech has a rich history of building similar SaaS-style platforms for various sectors such as healthcare, eCommerce, fintech - just to name a few. This widely varied experience adds immense value when it comes to effective structural design, making use of queue processing or session management techniques for optimized processes and resident allocation. I am acutely aware of the need for high availability (for 100+ concurrent clients) and stringent user-specific configurations (e.g., location selection, date range). My previous clients have greatly appreciated my attention to detail in creating smooth admin dashboards that provide live monitoring statuses, client management interfaces, detection history management with system health indicators bar and can handle manual pause/resume control if you wish. I offer reliability, technical prowess, and an approach designed to align with your vision. Let's make this system a reality!!! Thank you!!!

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Scalable Client Management System with Full-Stack Expertise ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for an experienced full-stack developer. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for client management systems. I will create a robust solution that monitors service availability, detects new dates, and notifies clients in real time. ➡️ Why Me? I can easily build your scalable availability monitoring system as I have 5 years of experience in full-stack development, focusing on Node.js, React, and PostgreSQL. My expertise includes creating efficient notification systems and handling multi-client configurations. I also have a strong grip on modern technologies like Docker and Redis, ensuring a solid foundation for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I’m eager to share how I can deliver the best results for you. ➡️ Skills & Experience: ✅ Node.js ✅ React ✅ PostgreSQL ✅ Docker ✅ Redis ✅ Queue Processing ✅ API Integration ✅ Real-time Notifications ✅ Session Management ✅ Error Handling ✅ Structured Logging ✅ Multi-Client Support Waiting for your response! Best Regards, Zohaib

@rajubhalani

For the availability monitoring system project, would it be fine if I first analyze the core requirements and then propose a structured approach for building the monitoring engine, multi-client support, notification system, and admin dashboard? So I believe that by implementing a robust monitoring engine, real-time notification system, and user-friendly admin dashboard, we can ensure seamless availability tracking, client management, and efficient communication for your platform. By the way, could you provide insights into the existing tools or platforms that the system needs to integrate with to ensure a smooth development process and successful deployment?

@usamae

Built a similar monitoring system before - Node.js + Playwright for slot detection, Redis/BullMQ for the queue layer, and WhatsApp/email alerts. This is basically a project I can hit the ground running on. For the architecture I'd do: Playwright workers per client with config-driven selectors, BullMQ for job queue + retry logic, PostgreSQL for detection history, React dashbaord with WebSocket for live status. Docker compose for the whole stack. The 6-month bug support is fine - I can formalize that in the agreement. Available to start this week. - Usama

@DigitaSyndicate

Reliability isn't a feature; it's a foundational requirement. I’m here to ensure it’s built-in from day one. Your intent to create a scalable availability monitoring and client management system that supports 100+ concurrent clients with near real-time detection reflects a strategic commitment to robustness and precision. This aligns seamlessly with how we architect systems focused on scalability and reliability at DigitaSyndicate. At DigitaSyndicate, a UK-based digital systems agency, we build precision-engineered automation, modern web platforms, and AI-driven systems designed for performance and long-term scalability. Our experience with Node.js, React, Redis-based queue processing, and structured logging perfectly suits your stack and operational needs. Recently, we delivered a SaaS platform with real-time alerting and multi-tenant support, enhancing client management under heavy concurrency. Can you share your main priorities and timeline so I can map out the right execution plan for you? Casper M. Project Lead | DigitaSyndicate Precision-Built Digital Systems.

@OutsourceMan

⭐⭐⭐⭐⭐ We at CnELIndia, led by Raman Ladhani, can successfully deliver your scalable availability monitoring and client management system. Our approach begins with designing a robust monitoring engine using Node.js and Playwright for near real-time slot detection, with structured logging, retry logic, and error handling. Redis-backed queues ensure efficient processing for 100+ concurrent clients, while PostgreSQL manages per-client configurations. For notifications, we integrate Email and WhatsApp APIs for instant alerts. The React-based admin dashboard will provide live monitoring, client management, detection history, and system health indicators with pause/resume controls. Docker ensures smooth deployment, and we will provide complete source code, deployment documentation, and six months of support for bug fixes. Our team will also advise on architecture optimizations for scalability and maintainability.

@divumanocha

Hello, I am a full-stack developer with considerable experience. I have a strong background and skills in Native PHP, Laravel, Node.js, React.js, Python, React Native, AWS, Firebase, RESTful APIs, web hosting, Linux servers, Windows OS, HTML5, CSS3, JavaScript, Adobe, Figma, and so on. Let’s initiate a chat to discuss this in more detail. Thank you.

@Mobilehead

Hey, I have 8+ years building scalable Node.js services, Playwright automation, React dashboards, PostgreSQL and Redis-based queue systems for SaaS platforms. I will build a Dockerized Node.js monitoring engine using Playwright workers and Redis queues for concurrency, PostgreSQL for client and detection history, WebSockets for real-time alerts, and integrate email and WhatsApp APIs with retry logic, structured logging and an admin React dashboard. The system will support per-client configuration, 100+ concurrent clients, near real-time detection, robust retry/error handling, manual pause/resume, and live health/status views. Why We Work Together: - Proven full-stack SaaS experience. - Scalable Redis/queue and Playwright-based monitoring. - Clear deployment docs plus 6 months bug support. Best Regards, Sherman

@ssquare489

As a dedicated Angular expert with a diverse stack including Node.js and PostgreSQL, I’m the ideal fit for your project. My skills in full-stack development align perfectly with your requirements for building a robust availability monitoring and management system, particularly as it requires seamless API integration, real-time data handling, and structured logging – areas where my depth of experience shines. I bring more than just technical proficiency to the table; I offer a comprehensive approach keeping long-term scalability and business growth in mind. My clean coding practices, commitment to code reusability, and prioritization of architecture quality make for applications that not only meet immediate needs but are future-proofed as well. This aligns perfectly with your need for a scalable, stable, SaaS-style platform. In addition to my technical prowess, I have keen attention to detail and am committed to delivering only high-quality work. I understand that reliability is paramount in such applications, so I ensure not only effective bug-fixing but also 6-month support to tackle any unanticipated issues. Join me on this journey and let's create an availability monitoring system that will exceed your expectations in terms of efficiency, performance, and user experience.

@sabaehsan

Greetings, I see that you're looking to develop a full-stack availability monitoring and client management system. The goal is to create a platform that can effectively check service slot availability, notify clients in real time, and manage multiple client configurations. To tackle this, I'd focus on building a robust monitoring engine that continuously checks for available time slots while implementing error handling and structured logging to ensure reliability. Leveraging technologies like Node.js for the backend and React for the frontend, I can create a user-friendly admin dashboard that provides live updates and client management features. The integration of email and WhatsApp for notifications will enhance client communication, ensuring they receive timely alerts. With my background in full-stack development and experience in building SaaS applications, I’m confident I can deliver a solid MVP along with comprehensive documentation and ongoing support. Best regards, Saba Ehsan

@Feriver

Hello, I understand you need a scalable SaaS availability monitoring system that continuously detects new service slots, supports 100+ concurrent clients, and delivers real-time notifications via email and WhatsApp. The platform must include a monitoring engine, queue processing, structured logging, and a full admin dashboard with multi-client configuration and system health visibility. I have experience building Node.js-based monitoring and automation platforms with real-time alerts and scalable backend architecture. My methodology uses Playwright for reliable availability detection, Node.js with Redis queues for parallel processing, and PostgreSQL for structured client and monitoring data. The React admin dashboard will provide live system status, client controls, detection history, and pause/resume functionality. Dockerized deployment ensures scalability, reliability, and easy production rollout. Deliverables include a complete MVP system, source code, monitoring engine, admin dashboard, notification integrations, deployment documentation, and 6-month bug support. The platform will be optimized for performance, reliability, and future SaaS expansion. Clarification Questions: 1. Which specific platforms or websites must be monitored for availability detection? 2. Do you prefer WhatsApp integration via Twilio, Meta Cloud API, or another provider? Thanks, Asif.

@kareemmaize

Hi there To build a scalable availability monitoring SaaS, the most critical part is designing a resilient monitoring engine that can handle concurrent sessions without instability or detection failures. Real-time alerts only work if the checking logic is structured, efficient, and fault-tolerant. I’ll approach this by building a Node.js backend with Playwright-based automation workers managed through a Redis-backed queue. PostgreSQL will store client configurations, detection logs, and priority rules. Workers will be containerized via Docker for horizontal scaling, allowing the system to handle 100+ concurrent clients safely. Notifications will integrate with email and WhatsApp APIs, triggered through event-based processing to ensure immediate delivery. The admin dashboard (React) will provide live system health, session status, queue depth, and client management controls, including manual pause/resume. My process is simple: Define monitoring architecture and scaling strategy Implement queue-driven worker system with logging Build dashboard, alerts, and run load validation After confirming monitoring targets and alert frequency, I’ll provide an exact timeline and fixed budget. If this aligns with you, let’s discuss in detail via private chat.