Dev Builds $0 AI News Agent: Deduplication and Self-Healing Are the Real Secrets
Positive-Ad3618 · reddit · 2026-08-06
A developer shared how they built a fully automated AI news aggregation agent for $0/month.
Workflow Design:
- Data Ingestion: A Python script on a free-tier server monitors 7 RSS feeds (including HN, Google AI, Hugging Face, etc.).
- Smart Deduplication: When the same story hits multiple feeds, the system picks the best source and drops the rest.
- Summarization: An LLM generates 2-3 sentence summaries for the stories that actually matter.
- Automated Publishing: A cron job publishes a clean daily digest to Discord and archives it to a free static site.
Key Takeaways:
- Dedup matters more than AI: 60% of tracked "news" was just the same 3 stories reblogged across sources.
- Self-healing is the real feature: When a webhook died, the bot automatically rebuilt it. This changed the author's perspective on agent reliability.
- Fully unattended: The system has been running smoothly for weeks, completely eliminating the need to manually hunt for news.
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