[yakhinvadim]

I think the main differentiator for my project is news selection.

Most other aggregators show news based on 1) relevance, 2) upvotes or 3) coverage.

Relevance-based algorithms tend to put reader into a bubble, where the more they read on a certain topic, the more news they see on that topic.

Upvotes-based algorithms usually bring up a lot of clickbait and drama.

Sorting by coverage doesn't really work either, media often just follows people's interests and churns articles on what is "hot".

For example, last summer, a fight between Zuckerberg and Musk was at the top of most feeds based both on upvotes and coverage. Significance-based algorithm didn't even put it in the top 50.

[HelloUsername]

I understand (also by reading your other responses here). Very nice, I like it. Is the summary feature based on one article (the top one mentioned), or does it combine all articles on that topic? And any roadplan for a native iOS app?

[yakhinvadim]

Summaries are done for a single article. I think it's better this way — a summary is a clear reflection of an underlying article, where all statements can be easily tracked to a single original source. That makes LLM hallucinations extremely rare.

No plans for an iOS app, but my site is a PWA so can be installed and look like an app both on Android and iOS.

[HelloUsername]

I kinda like the approach of Boring Report, where it does combine multiple sources into one summary. Still, I like your https://newsletter.newsminimalist.com/archive page. What about using other models instead of GPT-4o mini, like Claude 3 Haiku, Llama 3.1, or Mixtral (which now started a partnership with AFP https://news.ycombinator.com/item?id=42732960).