
Ahamed Rashid
Turning Raw Market Data, Manual Workflows into High Converting Sales Engines
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GitHub • ZZP
Sep 2024 - Present • 1 yr 11 mos
Build an automated content delivery engine that aggregates news from multiple RSS feeds (Hacker News, GitHub Trending, Phoronix, TechCrunch, Google News, arXiv AI) and publishes formatted updates directly to a Telegram channel. Key Challenges & Technical Implementation: • Multi-Source Aggregation: Integrated 6 distinct RSS feeds into a single n8n execution pipeline. • Intelligent Deduplication & Fair Share: Built custom JavaScript logic to filter out previously published links by cross-referencing a live Google Sheets database, ensuring source variety without posting duplicate links within 24 hours. • HTML & Caption Formatting: Processed raw feed summaries, extracted embedded images, dynamically appended topic hashtags (#Linux, #AI, #DevOps), and formatted clean HTML text within Telegram caption limits. • Error Handling & Scheduled Batches: Configured dynamic loop controls, random delay buffers to prevent spam flagging, and automated error-fallback logging directly into Google Sheets. Outcome: Fully autonomous news engine that runs on a 30-minute schedule, reducing manual publishing time to zero while maintaining a structured, reliable update log.