Backend Developer for Hardening News Clipping MVP + Milestone

@SBITServices

Hi Owner First Name, I have strong experience with n8n automation and have successfully completed 100+ n8n workflows for different businesses. I have helped companies automate their daily operations such as lead management, CRM updates, social media posting, email notifications, data sync between apps, invoice processing, and reporting. I focus on reducing manual work, saving time, and improving efficiency using smart automations. I have worked with APIs, webhooks, Google Sheets, CRMs, WhatsApp, email systems, databases, and third-party tools inside n8n. Let's discuss how we can streamline your news clipping MVP project further. Please start the chat, and we can delve into the details. Regards, Sai Bhaskar

@ZohaibRoy

⭐⭐⭐⭐⭐ Build and Enhance Your News Clipping MVP with Expert Backend Development ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and can see you are looking for an experienced backend developer. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for backend development. I will efficiently implement and integrate the project shell using OpenAI Codex and ensure all components work seamlessly together. ➡️ Why Me? I can easily finalize and strengthen your news clipping MVP as I have 5 years of experience in backend development, focusing on Python, API integration, and automation workflows. My expertise includes working with n8n, data processing, and Linux systems. I also have a strong grip on other relevant technologies, ensuring a robust solution for 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 bring value to your MVP. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Backend Development ✅ Python Programming ✅ API Integration ✅ n8n Workflows ✅ Data Enrichment ✅ Automation Solutions ✅ Linux Systems ✅ Web Scraping ✅ Data Processing ✅ Project Management ✅ Problem Solving ✅ Efficient Pipeline Design Waiting for your response! Best Regards, Zohaib

@managersingh

Hi, As an experienced backend developer with a strong focus on API integration and over 8+ years of web and app development, I believe I am the perfect match for your Hardening News Clipping MVP project. Throughout my career, I have successfully handled complex data-intensive projects, precisely what this position demands. Your project heavily depends on integrating external APIs to enhance functionality and automate data ingestion -areas where I excel. Furthermore, my skills in structured data processing will significantly contribute to developing efficient pipelines for data enrichment and publishing. In particular, my forte lies in Python programming which is crucial for developing and refining scrapers. If given the opportunity that is well suited for my experience and expertise. I am confident that together we can create a hardened and production-ready MVP that meets all your requirements while staying true to your vision. Let's discuss how we can make this happen!

@Herculesz

Hi I’m excited about the opportunity to help you finalize and harden your news clipping MVP. With over 20 years of experience in backend development, particularly with Python, n8n, and data processing, I’m confident I can ensure your project runs smoothly. I’ve worked with various automation tools like n8n and integrated multiple APIs for seamless workflows, which is key to ensuring data is ingested, enriched, and published reliably. A common issue with similar projects is maintaining data integrity and consistency across multiple sources. I can resolve this by optimizing your scrapers and data enrichers, and ensuring robust error handling and data deduplication. I’ll also focus on making sure the OpenAI integration is fully streamlined for advanced data extraction. Let’s build a reliable, efficient pipeline that keeps everything running smoothly. Thanks, Hercules

@semme1989

As an experienced backend developer with over a decade in the field and countless successful projects, I believe I am the ideal fit for your news clipping MVP. My extensive expertise in working with structured data processing techniques, Linux (specifically Debian distributions), n8n, and various APIs is directly aligned with your project requirements. My track record of exceeding client expectations and ensuring error-free deliverables speaks volumes about my attention to detail and coding precision; skills that will be vital in implementing and integrating n8n workflows, building efficient pipelines for data ingestion/enrichment/deduplication/publishing, and connecting with external APIs as per your needs. Moreover, my disciplined approach to handling only one project at a time guarantees you my undivided focus on this project for an anticipated delivery timeframe of 3-4 days. Partnering with me not only gives you access to reliable services but also a freelancer who is available for more than 10 hours each day, ensuring timely updates and quick issue resolution. Let's work together to make your MVP robust and production-ready.

@Muhammadzeesha59

As a seasoned Full Stack Developer with over 6 years of experience, I believe I am well-equipped to handle your backend development project. My expertise spans across a vast range of programming languages and tools, including Python and Linux, making me the ideal candidate for implementing and refining your Python-based scrapers and data enrichers. I'm also familiar with n8n for process automation - a skill that will be crucial in integrating n8n workflows into your project. My proficiency extends beyond the technicalities; I understand the paramount importance of efficient data ingestion, enrichment, deduplication, and publishing systems which aligns directly with your project goals. As such, my focus is on building reliable mechanisms like RSS feeds and alert systems while ensuring restricted outputs as needed. Another strength I bring to the table is my ability to connect with various external APIs efficiently. I have accomplished this in numerous past projects seamlessly - something essential for enhancing the overall functionality of your product. Working diligently full-time, I can bring this MVP to a hardened, production-ready state within 3-4 days. So let's join hands and make your news clipping MVP a reality!

@sabaehsan

Greetings, I see you're looking for a backend developer to finalize and strengthen your news clipping MVP. My approach would involve diving into the existing project shell and seamlessly integrating the n8n workflows for automation. I have solid experience in developing Python scrapers, which will help enhance your data enrichment process. Additionally, I can implement OpenAI for advanced data extraction and connect various external APIs to improve your system's functionality. My background in Linux and structured data processing will ensure that the pipelines for data ingestion, deduplication, and publishing are efficient and reliable. I'm committed to transforming your MVP into a robust, production-ready solution. Best regards, Saba Ehsan

@denisSolution

Hi client, I'm Denis Redzepovic, an experienced developer with expertise in Linux, OpenAI, API Integration, Python, Automation, Data Processing, Backend Development, n8n, Software Architecture and PHP. I have worked extensively on diverse Python projects, ranging from backend development and automation to data processing and API integrations. My deep understanding of Python’s libraries and frameworks allows me to build efficient, scalable, and maintainable solutions. I pay close attention to code quality and performance to ensure your project runs flawlessly. With my solid experience, I’m confident I can deliver results that exceed your expectations. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your project details so I can tailor the perfect Python solution for you. Thanks, Denis

@Azursol

Hello Jason B., I am a proficient backend developer with expertise in PHP, Python, Linux, Data Processing, Software Architecture, Backend Development, Automation, API Integration, OpenAI, and n8n. I have successfully completed similar projects in the past, ensuring robust solutions for clients. I understand your need for finalizing and hardening the news clipping MVP by integrating n8n workflows, Python scrapers, OpenAI, and external APIs. My approach involves meticulous implementation and integration to build reliable data pipelines for ingestion, enrichment, and publishing. I am committed to delivering high-quality results with clear communication throughout the project. I am eager to discuss how I can contribute to your project further. Please feel free to reach out to me to explore this opportunity in detail. Best regards,

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in backend development, specializing in API integration and automation. My technical skills include working with Linux, n8n for workflow automation, and structured data processing techniques. I have a solid background in Python, which will be beneficial for developing and refining scrapers, data enrichers, and integrating OpenAI for advanced data extraction capabilities. The project objective of building reliable data pipelines aligns perfectly with my expertise in backend development and automation. I have a track record of creating efficient pipelines for data ingestion, enrichment, and publishing. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@DigitaSyndicate

⚠️You are not looking for a coder. You are looking for someone who can build this properly. That is exactly why your project stood out.⚠️ Your goal to finalize a news clipping MVP by integrating n8n workflows, Python scrapers, and advanced OpenAI data extraction reflects a clear focus on building reliable, automated backend pipelines, not prototype guesswork. That level of precision aligns directly with how we engineer scalable systems 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 expertise with Linux environments, workflow automation, API integration, and structured data pipelines positions us perfectly to deliver a seamless, hardened MVP that supports ingestion, enrichment, deduplication, and publishing workflows you require. Having recently delivered a data automation platform for real-time content syndication, I understand the exact execution rigor you need. 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.

@yuliussmayoru

Hello! Codex-generated shells usually “look finished” but break in the boring places (n8n item shapes, retries, idempotency, and dedupe), so I’ll harden the pipelines by adding strict contracts, safe retries, and proper persistence so it runs 24/7 without babysitting. n8n workflows: wire the existing flows end-to-end, fix “items” structure issues, add error branches, retries/backoff, and dead-letter handling. Scrapers/enrichers: clean up Python scrapers for stability (timeouts, rate limits, user-agents, caching), and make enrichers deterministic and testable. OpenAI extraction: wrap calls with schema validation, fallbacks, cost controls, and prompt/version tracking so outputs don’t drift. External APIs: integrate with consistent adapters, normalize payloads, and add circuit breakers + logging for failures. Ingestion/dedupe: implement canonical IDs, hashing, and idempotent writes so re-runs don’t duplicate or corrupt data. Publishing: generate reliable RSS + alerts + restricted outputs with clear rules, plus a replay mode for missed runs. Production hardening: Debian-ready deployment, env/secret management, health checks, structured logs, and a “one command” restart story. If you share the repo, current n8n export(s) and target APIs, I’ll start by getting one full pipeline green, then harden the rest in the same pattern. Warm regards, Yulius Mayoru

@juanjosec63

Hello, I can take your Codex-generated project shell and turn it into a hardened, production-ready news clipping backend by wiring the n8n workflows, Python scrapers/enrichers, and OpenAI extraction into a single reliable ingestion → enrichment → dedupe → publish pipeline. I’ll focus on making the system deterministic and maintainable: structured payload schemas between steps, idempotent runs (safe replays), strong error handling/retries/backoff, rate-limit awareness for external APIs, and clear logging/metrics so you can see exactly where any run fails. On the data side, I’ll implement robust deduplication (URL + canonical hash + content fingerprint) and normalization so downstream publishing is clean, then ship outputs as RSS and alerts with support for restricted/private feeds where required. For Debian/Linux deployment, I’ll containerize or standardize the runtime, lock dependencies, and deliver a simple “one command” runbook plus environment templates so you can operate it without guesswork. If you grant repo access and provide API keys/endpoints, I can start immediately and deliver the hardened MVP within your 3–4 day window with a short handoff doc and a repeatable test run that proves ingestion, enrichment, dedupe, and publishing end-to-end. Best regards, Juan

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack 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 — Backend Developer for Hardening News Clipping MVP + Milestone . 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

@mehranriaz0

Greetings, I see you're looking for a backend developer to finalize and strengthen your news clipping MVP. My approach would involve seamlessly integrating the existing project shell and ensuring that all components, like n8n workflows and Python scrapers, function smoothly together. I have hands-on experience with Linux and have developed various automation solutions, which will be crucial for building the data pipelines you need. I can also effectively incorporate OpenAI for enhanced data extraction and connect multiple APIs to enrich your project’s capabilities. My goal is to help you create a reliable backend that can efficiently handle data ingestion, enrichment, deduplication, and publishing. Looking forward to the opportunity to contribute to your project. Best regards, Mehran Riaz

@sekai1116

Hello — I’ve finalized backend-heavy MVPs built from generated or scaffolded code, hardening Python pipelines, API integrations, and automation workflows into reliable production systems. I have hands-on experience with n8n, Linux (Debian), data ingestion/enrichment, and OpenAI-powered extraction in delivery-focused timelines. My approach would be to first review the Codex-generated project shell and validate the existing assumptions, then wire and stabilize n8n workflows end-to-end (ingestion → enrichment → deduplication → publish). I’ll refine the Python scrapers/enrichers for resilience (error handling, retries, idempotency), integrate OpenAI cleanly for structured extraction, and connect external APIs with consistent schemas. I’ll ensure outputs (RSS, alerts, restricted feeds) are deterministic, logged, and easy to operate, leaving clear runbooks and configs for production use on Debian. I’d be glad to collaborate and bring this MVP to a hardened, production-ready state within the expected timeframe.

@mattafareed4848

Hello I can finalize your news-clipping MVP by integrating n8n workflows, refining Python scrapers, connecting OpenAI for data extraction, and linking external APIs to build robust, automated pipelines for ingestion, enrichment, deduplication, and publishing. I’m comfortable with Debian Linux, structured data processing, and can deliver a hardened, production-ready backend efficiently within your 3–4 day timeline. Regards Muhammad

@mayankinnovative

Hello, MVP’S BACKEND LACKS STABILITY AND SCALABILITY Your existing news clipping MVP needs a hardened backend that reliably handles data ingestion, storage, filtering, and retrieval at scale with consistent performance under load. Without infrastructure strengthening and optimized backend logic, data loss, slow queries, and instability could reduce usability and hinder growth. OPTIMIZE AND HARDEN THE BACKEND ARCHITECTURE I will refine your backend to enhance stability, improve data pipelines, tighten API logic, and streamline database interactions so your news clipping system runs reliably in real conditions. This includes optimizing data ingestion workflows, improving indexing and query efficiency, implementing error handling and retries, and hardening security measures to protect against common backend vulnerabilities. RELIABLE, SCALABLE BACKEND READY FOR NEXT PHASE You will receive a hardened and optimized backend that offers improved stability, faster response times, error resilience, and greater scalability for increased user activity. The upgraded system will support smoother operations and make it easier to add future features with confidence. Thanks

@emilesd617

Hi, I am a backend developer with 8 years of experience in building and hardening data-driven automation systems. I have a strong background in Python-based data processing, Linux environments (Debian), and backend architecture, with hands-on experience integrating workflow automation tools like n8n and connecting multiple external APIs into reliable pipelines. I am comfortable working with existing project shells and evolving them into stable, production-ready systems. This includes wiring together ingestion, enrichment, deduplication, and publishing flows, as well as integrating OpenAI for structured data extraction and enrichment. I have experience improving scraper robustness, handling retries and failures, and ensuring clean, deterministic outputs for downstream consumers such as RSS feeds, alerts, and restricted publishing endpoints. I'm an individual freelancer and can work across any time zone you prefer. Please contact me with the best time for a quick chat. I’m looking forward to discussing the details and helping bring this MVP to a hardened, reliable state. Thanks. Emile.