Automation Tool for Online Resource Monitoring

I need a developer to build a high-speed precision “sniper” tool that monitors a specific online resource and performs a predefined action immediately when the resource becomes available. Precision, low latency, and reliability are very important. The tool should be able to authenticate with an account, maintain a valid session/token, send HTTP/API requests, monitor availability status, track timing patterns, and execute the correct request at the right moment. The availability time is not exact, so the system should support configurable monitoring windows, adaptive polling intervals, and careful rate-limit handling. The tool should be designed to minimize latency and handle real-world failures such as retries, rate limits, network errors, expired authentication, server delays, unexpected API responses, and failed attempts. It should also accurately log request timing, response codes, latency, success/failure results, and any relevant errors. A simple interface or dashboard is needed to configure: - Target/resource to monitor - Account/session details - Authentication/token status - Estimated availability window - Polling frequency and timing settings - Retry and rate-limit settings - Start/stop controls - Logs and result history Preferred skills and technology experience: - Backend development - Node.js/TypeScript or Python async programming - HTTP/API automation - Authentication/session handling - Redis or job queues - PostgreSQL or another relational database - Rate-limit management - Low-latency request handling - Retry/error handling - Scheduling and background workers - Docker deployment - VPS/Linux server setup - Logging and monitoring - Basic frontend/dashboard development Preferred stack could include: Node.js / TypeScript Fastify, Express, or NestJS PostgreSQL Redis / BullMQ Docker React / Next.js for dashboard Discord/Telegram/email alerts Linux VPS deployment The ideal developer should understand API request flows, timing-sensitive automation, concurrency, queue workers, token/session refresh logic, distributed locks, and how to build a reliable tool that can run continuously without crashing. This is not just a simple bot. The main challenge is building a reliable backend system that can monitor efficiently, react quickly, avoid unnecessary requests, handle edge cases, and execute the correct action as soon as the target becomes available. More details about the service, request flow, authentication method, and action endpoint can be provided during discussion.