SaaS Metrics
Show HN: I measured the half-life of 41,301 Show HN launches. It's 7 hours
A data-driven study quantifying the attention decay of Show HN launches, specifically measuring the half-life of comments as a proxy for engagement.
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AI Executive Synthesis
A data-driven study quantifying the attention decay of Show HN launches, specifically measuring the half-life of comments as a proxy for engagement.
This analysis provides crucial market intelligence for any B2B SaaS company targeting developer communities via platforms like Hacker News. The finding of a 7-hour comment half-life underscores the extremely narrow window for initial engagement and feedback. This data dictates that launch strategies must prioritize immediate post-submission interaction and community management to maximize visibility. The median launch receiving minimal points and zero comments highlights the high signal-to-noise ratio and the difficulty of gaining traction. This research offers actionable insights into optimizing launch timing and follow-up efforts, emphasizing the ephemeral nature of online attention and the necessity of rapid response for early-stage product validation.
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
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Deep-Dive FAQs
What is I measured the half-life of 41,301 Show HN launches. It's 7 hours?
I measured the half-life of 41,301 Show HN launches. It's 7 hours is analyzed by our AI as: A data-driven study quantifying the attention decay of Show HN launches, specifically measuring the half-life of comments as a proxy for engagement.. It focuses on This analysis provides crucial market intelligence for any B2B SaaS company targeting developer communities via platforms like Hacker News. The fin...
Where did I measured the half-life of 41,301 Show HN launches. It's 7 hours originate?
Data for I measured the half-life of 41,301 Show HN launches. It's 7 hours was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was I measured the half-life of 41,301 Show HN launches. It's 7 hours publicly launched?
The initial public indexing or launch date for I measured the half-life of 41,301 Show HN launches. It's 7 hours within our tracked developer communities was recorded on July 2, 2026.
How popular is I measured the half-life of 41,301 Show HN launches. It's 7 hours?
I measured the half-life of 41,301 Show HN launches. It's 7 hours has achieved measurable traction, logging over 20 traction score and facilitating 4 recorded discussions or engagements.
Which technical categories define I measured the half-life of 41,301 Show HN launches. It's 7 hours?
Based on metadata extraction, I measured the half-life of 41,301 Show HN launches. It's 7 hours is categorized under topics such as: half-life, scraped, Algolia HN API, comment tree.
What are some commercial alternatives to I measured the half-life of 41,301 Show HN launches. It's 7 hours?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Teable 3.0, which offers overlapping value propositions.
How does the creator describe I measured the half-life of 41,301 Show HN launches. It's 7 hours?
The original author or development team describes the product as follows: "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 ..."
Community Voice & Feedback
Annnnnnnnd it’s dead haha
Whats the half life of the Show HN half life in the AI era?
A simple show HN submission brought our user count up from 13,000 to 16,000.
Great analysis—it's a refreshing reminder that successful projects on HN are about genuine utility rather than just "launch" mechanics.
Very meta and congrats on beating the median! I am replying at 17 hours so I too am not the average lol
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I’m posting this comment 8 hours after the post so I can be in the better half of the distribution.
> "... every launch with 10+ comments..."Using "launch" may give readers the wrong impression. Show HN is not for product launches or advertising. It is for "something you've made that other people can play with" according to the specific rules for such submissions at https://news.ycombinator.com/showhn.html .Submitters try to game the system to self-promote constantly but generally such improper submissions are ignored or shut down by the site moderators or users very quickly. Those who want to advertise or SEO on Hacker News are not welcome here.
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Launching today is all about sponsored distribution channels and less about posts in specific forums.But let's hope this one beats the statistics..
Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
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