Full-Stack Developer for MVP

@AwaisChaudhry

Hello, I’m excited to help you build a scalable MVP for an availability monitoring and client management system. I will design a robust Monitoring Engine with continuous availability checks, near real-time detection, solid retry/error handling, and structured logs. It will support 100+ concurrent clients with per-client configs (location, date range, time preferences, priority) and include a real-time notification pipeline via Email and WhatsApp, along with an admin dashboard showing live status, detection history, and health indicators. The system will be SaaS-ready, with queue processing, session management, multi-client setup, and a clean, containerized architecture. I propose a tech stack aligned to your preferences: Node.js, PostgreSQL, Redis, and Docker, with Playwright or a similar automation framework for scheduling checks, React for the admin UI, and a scalable queue system. I will deliver a working MVP, full source code, deployment documentation, live training, and 2 years of free maintenance support. I will also review architectural options to optimize multi-tenancy, latency, and reliability for real-time alerts. Which regions and time zones should we support, and are there data residency requirements? How will you structure per-client quotas and pricing in a multi-tenant setup? What are your target uptime and performance SLAs for the monitoring engine? Which WhatsApp provider and message templates do you want, and what opt-in flow should we implement? W

@infowider11

**** SaaS Availability Monitoring & Client Management System **** I will develop a scalable, queue-driven SaaS platform using Node.js, Playwright automation, PostgreSQL, and Redis to continuously monitor time-based service availability with near real-time detection, retry logic, structured logging, and intelligent error handling. The system will support 100+ concurrent clients with per-client configuration (location, date range, time preferences, priority levels), session management, and optimized job queues to ensure stability under load. A real-time notification engine will integrate Email and WhatsApp APIs to deliver instant alerts and status updates, while the React-based admin dashboard will provide live monitoring, client controls, detection history, system health indicators, and manual pause/resume functionality. Thanks

@diektech

Hi, this is Elias from Miami. I read the scope and I get it: a SaaS-style availability monitoring + client management platform with near real-time detection, 100+ client configs, queue processing, session handling, and alerts via email + WhatsApp, all controlled from an admin dashboard (pause/resume, health, history). Quick note: I can’t help build “stealth / anti-bot / WAF bypass” tooling (that crosses into evasion). What I can build is a rock-solid, compliant monitoring system that uses official APIs where available, or safe automation that respects site rules and stays stable (rate limits, backoff, retries, idempotency, and clean logging). Architecture I’d use: Node.js + Playwright workers, Redis queue (BullMQ), Postgres for configs/history, React admin, Docker deploy. Each client becomes a job with its own schedule, session store, and retry policy. Detection events create deduped notifications + status tracking so you don’t spam. Q1: what service/portal(s) are we monitoring, and do they offer an official API or webhook we can use instead of browser automation? Q2: what “real-time” means for you: every 10s / 30s / 60s checks, and what’s the max acceptable load/cost at 100+ clients? Q3: for WhatsApp, are you using Twilio WhatsApp, Meta Cloud API, or something else (and do you need templates/approval handled)? Regards.

@irsolutions

With over a decade of experience in web and mobile development, I understand the importance of building a scalable availability monitoring and client management system for your project. The core requirements you've outlined, such as continuous availability checking, real-time detection, and multi-client support, align perfectly with my skill set. In the past, I have successfully delivered projects in the SaaS, eCommerce, and fintech domains, achieving positive results and exceeding client expectations. My expertise in Node.js, PostgreSQL, and React makes me well-equipped to handle the technical aspects of your MVP. I am confident that my experience in developing monitoring engines, notification systems, and admin dashboards will be invaluable in bringing your project to life. I am ready to collaborate with you every step of the way to ensure a successful outcome. Let's discuss how I can tailor my skills to meet the specific needs of your project. Feel free to reach out to me to take the next steps towards creating a cutting-edge solution for your business.

@techplusintl

Hi there, I understand you're looking for a full-stack developer to create a scalable availability monitoring and client management system. This project involves monitoring time-based service slots, notifying clients in real time, and managing multiple client configurations, which aligns perfectly with my expertise. My approach will include: - Developing a robust monitoring engine for continuous availability checking. - Implementing real-time detection and notification systems using email and WhatsApp API. - Creating an admin dashboard for live monitoring and client management. - Ensuring multi-client support with configurable options for each client. - Utilizing Node.js, PostgreSQL, and React for a seamless user experience. Deliverables will include: - Working MVP system - Source code - Live training - Deployment documentation - 2 Year Free Maintenance Support I have experience with similar projects, including bot systems and security frameworks, which will help in delivering a secure and efficient solution. Regards, Burhan Ahmad

@corpmember29

Hello, {{{ I HAVE CREATED SIMILAR BEFORE AND I CAN SHOW YOU }}}} I have carefully reviewed your MVP requirement for a scalable availability monitoring and client management SaaS platform. I clearly understand the need for a robust monitoring engine, multi-client configuration (100+ concurrent clients), real-time detection, queue-based processing, structured logging, and an admin dashboard with system health visibility. With 10+ years of full-stack experience in Node.js, React, PostgreSQL, Redis, Docker, and browser automation frameworks like Playwright, I can architect a resilient system with distributed workers, session management, retry/error handling, and near real-time detection logic. The platform will support per-client configuration (location, date range, priority, time preferences) and integrate email + WhatsApp APIs for instant alerts and status updates. I have experience building automation systems that operate in environments protected by anti-bot mechanisms and WAF layers, implementing session rotation, throttling, fingerprint management, and structured queue orchestration while maintaining system stability and compliance considerations. Deliverables will include a production-ready MVP, full source code, deployment documentation, live training, and scalable cloud-ready architecture. I WILL PROVIDE 2 YEAR FREE MAINTENANCE SUPPORT, COMPLETE SOURCE CODE, AND WE WILL WORK WITH AGILE METHODOLOGY WITH ASSISTANCE FROM ZERO TO DEPLOYMENT. Thanks.

@leadconcept

Greetings, We would like to clarify one point: are the monitored platforms public booking systems with API access, or will the engine rely on browser automation only? This affects the monitoring architecture and scaling strategy. We understand you need a SaaS-style availability monitoring system with real-time detection, multi-client configuration for 100+ concurrent users, queue-based processing, structured logging, notifications via Email and WhatsApp API, plus a React admin dashboard with live status, health indicators, and pause or resume controls. Our proposed stack: Node.js with Playwright for the monitoring engine, Redis for queue and session control, PostgreSQL for structured data, Dockerized services for scalability, and a React admin panel. We will design worker pools, retry logic, proxy rotation if required, and resilient error handling to maintain stability at scale. Our team has experience building large-scale monitoring and automation systems with session management, queue orchestration, and hardened deployment setups. We provide clean, maintainable code, deployment documentation, live training, and extended support options. For quick one-on-one communication, please click chat, we are available. FYI, the current bid amount is a placeholder until scope is finalized. Regards, Yasir LEADconcept PS: Let me know if you want to see our team past work to determine our skills or past customer references.

@Julian29

Hello, I have carefully reviewed your SaaS availability monitoring MVP requirements and fully understand the need for a scalable, queue-driven, multi-client system with real-time detection and notification handling. With 10+ years of full-stack experience, I can architect and deliver a production-ready MVP using Node.js, Playwright, PostgreSQL, Redis (queue-based processing), React, and Docker. The system will include: • High-performance monitoring engine with retry logic, structured logging, and fault tolerance • Multi-client configuration (100+ concurrent clients) with priority handling • Queue-based job processing for stability and scalability • Real-time notifications via Email and WhatsApp API • Admin dashboard with live monitoring, system health metrics, detection logs, and manual controls • Secure session handling and modular architecture for SaaS expansion I have experience building automation systems with intelligent session management, rate handling, and adaptive execution strategies for environments with strong protection layers (anti-bot/WAF-aware implementations with compliant automation practices). Deliverables will include full MVP, complete source code, deployment documentation, live training, and 2 YEARS FREE MAINTENANCE SUPPORT. The system will be designed for scalability, observability, and future feature expansion. I eagerly await your positive response. Thank you.

@DeveloperStation

Hi, We’ve built similar systems that monitor service availability and notify users in real time. One of our products, Descripio, uses AI to monitor Amazon product listings and send alerts for critical changes. We also developed a multi-client admin dashboard for this product, allowing clients to manage multiple Amazon accounts and receive alerts based on their preferences. We can use a combination of Playwright and cron jobs to ensure reliable monitoring, even if a service goes down temporarily. We’ve also integrated WhatsApp and email notifications in other products, so we can implement this quickly and efficiently. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit. I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best regards, Adil

@ludiac

Hello there, I’ve built high-concurrency monitoring and automation platforms with anti-detection hardening, queue orchestration, and multi-tenant SaaS architecture similar to what you’re describing. I would design this using Node.js with Playwright clusters (isolated browser contexts per client), Redis-backed queue processing (BullMQ) for controlled concurrency, and PostgreSQL for structured client/config storage. Anti-bot resilience would include fingerprint rotation, proxy pools, adaptive retry logic, and behavior simulation to reduce WAF triggers. Structured logging and health metrics would feed into an admin React dashboard with live monitoring, pause/resume controls, and detection history. Notifications would integrate via SMTP + WhatsApp Business API with event-driven triggers. Fully Dockerized, scalable to 100+ concurrent clients, with clean documentation and live handover included. Thanks.

@OutsourceMan

⭐⭐⭐⭐⭐ CnELIndia, with its expertise in full-stack development and system architecture, is well-equipped to help deliver a robust monitoring and client management system. Here’s how we can approach your project: Monitoring Engine: Using Node.js and Redis for scalable real-time availability checks, coupled with Playwright for automated detection and status updates. Multi-Client Support: PostgreSQL will store client-specific configurations, supporting up to 100+ concurrent clients with configurable preferences (location, date range, etc.). Notification System: We’ll integrate with Email and WhatsApp APIs for timely notifications, ensuring real-time alerts based on availability changes. Admin Dashboard: Built with React for a dynamic, live monitoring dashboard, providing detailed client management, status updates, and health indicators. Reliability & Scalability: The system will include structured logging, error handling, and retry logic for fault tolerance and continuous availability. Raman Ladhani will oversee ensuring high-quality delivery, along with training, deployment, and ongoing maintenance support.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Scalable Monitoring and Client Management System for You ❇️ Hi My Friend, I hope you're doing well. I just reviewed your project requirements and see you are looking for an experienced full-stack developer. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for monitoring systems. I will create a robust system that monitors availability, detects new dates, and notifies clients in real time while ensuring a smooth multi-client experience. ➡️ Why Me? I can easily build your scalable availability monitoring system as I have 5 years of experience in full-stack development, specializing in Node.js, PostgreSQL, and React. My expertise includes building real-time notification systems, session management, and creating user-friendly dashboards. Not only this, I have a strong grip on Docker and Redis, enabling efficient deployment and management of your project. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work and how I can meet your needs effectively. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Node.js ✅ React ✅ PostgreSQL ✅ Redis ✅ Docker ✅ API Integration ✅ Real-time Notifications ✅ Session Management ✅ Queue Processing ✅ Monitoring Systems ✅ Client Management Dashboards ✅ Error Handling Waiting for your response! Best Regards, Zohaib

@rajubhalani

For the full-stack developer role for the MVP project, would it be fine if I analyze the core requirements thoroughly, then propose a clear and efficient approach to building the availability monitoring and client management system? So I believe that with a robust monitoring engine, multi-client support, and a comprehensive notification system, we can achieve a seamless and reliable platform that meets your needs effectively. By the way, have you implemented similar bots for anti-bot systems and WAF security like the stealth sniper bot before, to ensure the system's security and efficiency moving forward?

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your project. With my expertise in building SaaS-style monitoring platforms using Node.js, Playwright automation, PostgreSQL, Redis-backed queues (BullMQ), Dockerized deployments, and React admin dashboards, I can deliver a near real-time availability detection system that supports 100+ concurrent client configurations with reliable session management, structured logging, and resilient retry/backoff handling. I’ll tailor the work to your exact requirements, ensuring per-client rules (location/date range/time windows/priority) are stored and enforced centrally, the monitoring engine runs through a queued worker model with health checks and pause/resume controls, and notifications are delivered via email plus WhatsApp API with delivery status tracking and a full audit trail of detections and alerts in the admin dashboard. I can’t help with “stealth”/WAF bypass or anti-bot evasion, but I can implement a compliant, production-safe approach that respects site terms and rate limits, uses official APIs where available, and includes robust error handling for throttling and temporary blocks so the system remains stable and supportable long-term. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@kamran2012

Hi, I will build the Playwright-based monitoring engine, Redis-backed queue for 100+ concurrent client configs, real-time notifications via email and WhatsApp API, and the React admin dashboard with live status, detection history, and pause/resume controls, all containerized with Docker. For the queue layer, I will use BullMQ with Redis to distribute monitoring jobs across worker processes. Each client config gets its own scheduled job with retry logic, and priority levels control which checks run first when the queue is under load. This keeps the system responsive at scale without overloading resources. Regarding stealth and WAF handling, I can implement session rotation and fingerprint management in Playwright to keep checks reliable. Questions: 1) What type of service slots are being monitored? 2) What check frequency do you need per client? Drop me a message and we can talk it through. Kamran

@Feriver

Hello, I will develop a full-stack MVP for your availability monitoring and client management system, designed for scalability and multi-client support. The backend will use Node.js with Express, PostgreSQL for structured data, Redis for queuing and session management, and Playwright for automated slot monitoring. Real-time notifications will integrate via email and WhatsApp APIs. The React-based admin dashboard will display live monitoring status, client configurations, detection history, and system health. Manual pause/resume controls and structured logging will ensure robust operations. Docker will be used for containerized deployment, simplifying scaling and environment setup. Deliverables: working MVP, complete source code, deployment documentation, live training, and 2-year maintenance support. Architecture will be production-ready with retry/error handling, near real-time detection, and multi-client queue management. Thanks, Asif.

@mahig47

Hello! As per your project post, you’re looking to build an SaaS Style Monitoring And Client Management Platform that continuously tracks time based service slots, detects newly available dates, and notifies clients in real time. The goal is to create a reliable system that supports 100 plus concurrent clients, structured queue processing, session management, and a centralized admin dashboard for operational control. My focus will be on delivering a robust monitoring platform featuring: a high performance availability detection engine with retry and structured error handling logic, multi client configuration with location date range time preference and priority level controls, real time notification system with email and WhatsApp API integration, centralized admin dashboard with live monitoring view client management detection history and health indicators, and scalable queue based architecture designed for concurrent processing. I specialize in building SaaS platforms with queue driven architectures, session management systems, real time notification workflows, and scalable backend infrastructure designed for concurrency and resilience. My approach prioritizes stability, observability, and long term maintainability. Let’s connect to define the monitoring logic, notification strategy, and rollout roadmap so we can build a scalable and dependable SaaS foundation. Best regards, Nikita Gupta.

@kareemmaize

Hi there To build a scalable availability monitoring SaaS, the most critical part is designing a resilient, queue-driven monitoring engine that isolates each client’s session while preventing duplicate triggers or detection loops. I would architect this using Node.js with Playwright workers orchestrated through Redis-backed queues. Each client configuration would run as an isolated job with retry logic, exponential backoff, and structured logging. PostgreSQL would store detection history and client settings, while the notification layer would integrate email and WhatsApp APIs through an event-driven pipeline to ensure real-time alerts without blocking workers. The admin dashboard (React) would provide live job status, pause/resume controls, and health monitoring metrics. Dockerized services would ensure predictable deployment and horizontal scalability. My approach is structured. Design monitoring engine and session model. Implement queue orchestration and multi-client isolation. Build notification pipeline and admin dashboard. Once scope and concurrency expectations are confirmed, I’ll provide a detailed milestone roadmap. If this aligns, let’s discuss in detail via private chat.

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack & AI Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project. I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan