Trending Aggregator

You want to know what's breaking right now in tech, finance, AI, and crypto without reading 14 separate sites and wading through engagement-bait headlines. Trending content is the highest-signal way to find that out — what real readers are clicking on, voting up, or sharing in the last few hours.

The aggregator pulls from Hacker News, Reddit's relevant subs, and a few other source feeds, ranks by signal-adjusted popularity (raw upvotes + comments, normalized for time elapsed), and shows the top stories. It updates every few minutes. The intent is to be a fast morning scan, not a deep research tool — once you see something interesting, click through to the source to actually read it. The aggregator is the index, not the article.

The ranking math: each story gets a score combining vote count, comment count, and a time-decay factor. The basic Hacker News formula is (votes − 1) / (age_hours + 2)^1.8, which heavily penalizes age. A 3-hour-old post with 200 votes ranks higher than a 12-hour-old post with 400 votes. Reddit uses a slightly different formula but the principle is the same. The aggregator normalizes scores across sources so a top-of-HN story isn't drowned by a Reddit post that mechanically has 10x the upvote pool because of subreddit size. The result is a mixed list where genuinely viral cross-community stories rise to the top.

A worked example: it's 9 AM and you want a quick read on what's breaking. The aggregator shows: an OpenAI announcement (2 hours old, climbing fast), a security advisory about a popular package (4 hours old, near peak), a Cloudflare outage post-mortem (8 hours old, declining), and a long-form essay about LLM agents (12 hours old, still on the list because of strong comment count). You skim the four titles, click through to the OpenAI announcement and the package advisory because those are time-sensitive, save the others to read later. Total time investment: 5 minutes for awareness of the day's signal stories.

The limits of trending as a discovery method: it overweights what already-engaged communities are interested in. Hacker News skews toward developer interests and YC-adjacent content; Reddit's various tech subs skew toward gamer and consumer interests. Stories that matter to your specific niche but don't trend in the source communities won't surface. Trending is also momentum-biased — content that broke through early gets reinforced; content that's slowly building doesn't show up until it crosses the threshold. For thorough coverage of a specific topic, RSS or topic-specific newsletters work better. Trending is the morning scan; depth requires more deliberate reading. The aggregator updates every few minutes, so checking back in the afternoon catches stories that broke after your morning scan.