Funny coincidence. This morning, my news aggregator delivered its daily results. The stack:
Miniflux (https://miniflux.app/) in Docker, fetching 75 RSS feeds I've collected over the years
~200 lines in a Jupyter notebook:
- Fetch entries from Miniflux API (last 24-48 hours)
- Convert to CSV, feed to LLM. GPT-5 identifies trending stories across sources
- Each article gets web-fetched and summarized via Gemini-2.5-flash
- Results render via IPython.display
Ten minutes per day, fully informed.
I prefer to not.
LLM prompts and feeds selection clearly expose my political preferences, interests, and location.
And this is research project for more serious task. For 200 lines of code, there are 1000+ for evaluation, automatic prompt optimization.
But idea is simple, so there should be no problem to implement it
