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HN Popularity
Explore personal blogs ranked by Hacker News popularity in this interactive ranking tool.
About HN Popularity
HN Popularity Contest is an interactive web tool maintained by Refactoring English that ranks personal blogs based on their popularity on Hacker News. Users can filter rankings by predefined time frames (all time, last year, year to date, last 12 months, last 5 years) or custom date ranges, and adjust the number of displayed results. Each ranking entry includes the blog's domain, total Hacker News score, number of featured stories, average story score, author name, bio, covered topics, and correction notes.
Key features
- Filter blog rankings by predefined or custom date ranges
- Adjust displayed result limits from 100 to 5000 entries
- View per-blog metrics: total score, story count, average score
- Access author names, bios, and covered topics for each blog
- Browse curated list of top personal blogs ranked by Hacker News
Best for: It is most useful for readers, researchers, and content creators seeking vetted personal blogs with proven Hacker News audience appeal.
Good for
- Supports flexible date range filtering, including custom date inputs
- Includes detailed per-blog metadata such as author bios and covered topics
- Curates a focused list exclusively of personal blogs ranked by Hacker News
Watch out for
- Only includes personal blogs with Hacker News traction, excluding blogs with no Hacker News presence
- No public information about how often ranking data is refreshed
- Pricing details are not listed on the tool's page
HN Popularity at a glance
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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HN Popularity FAQ
What types of blogs are included in the rankings?
Only personal blogs ranked by their popularity on Hacker News are included.
Can I filter rankings by a custom date range?
Yes, the tool supports custom start and end date inputs for filtering.
What details are shown for each blog in the ranking?
Each entry displays rank, domain, total score, story count, average score, author, bio, topics, and correction notes.
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