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Dev tools · July 2, 2026

I measured the half-life of 41,301 Show HN launches. It's 7 hours

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…

I measured the half-life of 41,301 Show HN launches. It's 7 hours launched on July 2, 2026 with 37 votes, #665 of 24,623 launches that month and more than 95% of that year's launches.

Visit jonno.nz ↗Alternativestop 3% of July 2026

In plain words

This project analyzes 41,301 Show HN posts from the past year, examining comment timing patterns to understand audience engagement lifecycles. Using Hacker News API data, the researcher found that successful launches receive half their total comments within 7.2 hours and 90% within 26 hours, regardless of initial success level. The analysis is fully reproducible through an open-source repository, making methodology transparent and verifiable for other developers studying community dynamics and content visibility.

written from the facts on this page · September 2026

From the sources

I scraped all 41,301 Show HN posts from the last year. Half the comments a launch will ever get arrive inside 7.2 hours, and success doesn

In the maker’s words, at launch

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…

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