[JoseOSAF]

Here's the raw dataset: https://asof.app/static/hn_viral_dataset.json

159 stories that hit score 100 in my tracking, with HN points, comments, and first-seen timestamp.

Methodology: - Snapshots every 30 minutes (1,576 total) - Filtered to score=100 (my tracking cap) - Deduped by URL, kept first occurrence - Date range: Dec 2025 - Jan 2026

For sentiment, I ran GPT-4 on the full article text with a simple positive/negative/neutral classification. Not perfect but consistent enough to see the 2:1 pattern.

[SamInTheShell]

Thought about this during the morning. I'm run the posts through ministral3:3b, mistral-small3.2:24b, and gpt-oss:20b this weekend to build a sentiment mapping and see what I get. I'm optimistic about ministral3:3b, but the other two are pretty good at this type of stuff.

[JoseOSAF]

Interesting, would love to see the results. I'll be checking back here if you care to share them.

[SamInTheShell]

Yeah, I plan to do a follow up comment with data and results.