Monitoring Pipeline
Twitter to Telegram
A monitoring pipeline that watched selected X accounts and pushed the important updates into Telegram.
The brief
What needed to be solved.
Important posts in crypto and AI move fast, but the bigger problem is volume. Good updates disappear inside crowded feeds.
The system had to cut down the monitoring work without turning into a spam bot.
The constraint
What made it interesting.
I treated it as a signal-routing system, not a repost tool.
The pipeline follows a curated source list, filters the noise, and pushes the useful updates into Telegram.
The build
What was assembled.
Source monitoring across selected X accounts.
Filtering rules before forwarding.
Telegram posting automation for delivery.
Built for continuous tracking instead of one-off scraping.
The result
What changed after it ran.
Reduced the time needed to watch a fragmented topic space.
Turned scattered updates into one feed.
Made the research workflow easier to follow day to day.
Stack
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