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I scraped every Show HN from the last 12 months (41,301 posts) plus the full comment tree of every launch with 10+ comments, ~100k comment timestamps, all from the Algolia HN API.The median launch gets 2 points and 0 comments. For launches that do get traction, half the comments they'll ever get arrive within 7.2 hours and 90% within 26, and the top decile decays on the same clock as everyone else.Vote timestamps aren't public, so comment timing is the attention proxy; caveats are in the post. Everything reproduces from the repo with one command (https://github.com/jonnonz1/hn-attention-cliff), and every number in the post maps to a named function. Keen to hear where the methodology falls short
Comments (4)
whats the actual takeaway beyond most launches going nowhere
what day of the week performs best for launches?
seven hours feels optimistic for a post about posts dying
what stack handled processing that volume of comment trees?
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