Subscribe to five newsletters and 30-40% of your reading time is wasted. You're reading the same event five different times, just phrased differently.
One developer decided the fix wasn't "summarize it better." It was "actually read the source."
You've subscribed to a few newsletters, right?
Say you read five newsletters covering the GPT-5.5 launch. Add it all up and that's 48 minutes of reading — but only about 11 minutes of it was genuinely new information. The other 37 minutes was the same story, reworded.
If you subscribe to 20 newsletters, duplicate coverage eats 30-40% of your reading time. As Clay Shirky put it: the problem isn't information overload, it's filter failure.
This isn't editorial laziness — every outlet is independently chasing the same "this week's news" signal, so it's structural. And you can't manually filter it either, because by the time you'd know two stories are duplicates, you've already read both.
So he built a bot that reads the source
What makes this GeekNews thread interesting is that the fix wasn't "smarter summarization." It was "read more thoroughly".
The pipeline monitors 12 RSS feeds daily (industry outlets, official AI lab announcements, domestic Korean media, community sources), scores each piece by source weight, cross-outlet coverage, and freshness, then picks the top 10. No single outlet gets more than 3 slots, and official statements get at least 2.
So far, that's not too different from other AI news bots. The difference is it actually reads full articles instead of RSS snippets, and swaps in an alternative source when it hits a paywall. Stories covering the same event get merged into one, with the rest shown as related links — combining semantic similarity, named-entity matching, and temporal clustering is the real-world approach here.
There's also a daily data page showing how many articles got screened down to the final 10, and a click-to-explain feature for jargon (60+ terms accumulated in 15 days). It publishes in Korean and English simultaneously, too.
| Typical AI news bot | A pipeline that reads the source | |
|---|---|---|
| Source material | RSS snippets | Full articles |
| Duplicate events | Shown separately per outlet | Auto-detected and merged |
| Selection criteria | Opaque | Published daily as a data page |
| Jargon | Left as-is | Click for an instant explanation |
The real win came after launch, though
Building the pipeline wasn't the finish line. As soon as it went live, one comment flagged that "the scroll is too long, and the summaries and takeaways are dense enough that you lose the thread". Another said showing estimated reading time was a good call — "giving users a choice is what the UI needed".
The builder shipped two rounds of fixes within a single day — collapsible summaries, reading-time estimates, and a table of contents.
A different developer who built something similar makes the same point: what matters is "not a perfect system, but a working one you ship first". How fast you can fix things after shipping matters more than how polished the pipeline is on day one.
Here's how to start building one yourself
- Start with 20 feeds or fewer
Mix industry outlets, official blogs, and community sources, and keep it under 20 RSS feeds. Manageable beats comprehensive, especially at the start. - Run it on a free scheduler
GitHub Actions can trigger it daily with no server to manage — or start even simpler with a local cron job and a shell script. - Filter first, then read
Feeding every article full-text to an LLM gets expensive fast. Score by source weight, duplicate status, and freshness, and only let the top 10 or so get the full read. - Merge duplicate events
Cluster by semantic similarity and show duplicates as links, not repeat entries. Skip this and your bot just inherits the same duplication problem humans already had. - Open a feedback channel and fix fast
Keep your deploy pipeline light enough that you can ship a fix the same day someone flags an issue — not the next day.
Want to dig deeper?
Daily AI Thread The actual service behind this story — a bilingual (Korean/English) AI news briefing published daily at 8am dailyaithread.com
Why You Read The Same Newsletter Story Five Times A data-backed look at newsletter duplication readless.app
Best AI RSS Summarizers 2026 A comparison of AI-powered RSS readers and summarizers readless.app
From 4 Hours to 4 Minutes An indie hacker's record of automating newsletter curation with AWS Claude 3 and GPT-4 for under $0.19/day indiehackers.com
Build Your Own AI News Bot A step-by-step guide from RSS collection to email delivery with Claude and GitHub Actions medium.com
Building My Own Economic News Assistant with Claude Code A Korean developer's build log using cron, shell scripts, and Slack webhooks velog.io
