anton_tarasenko

15 ms·

91.
Top 100 Users on Hacker News by H-Index(github.com)
154 points by anton_tarasenko 10y ago|81 comments
92.
by anton_tarasenko 10y ago
Clarification: I collected HTTP response codes from top 10,000 "Show HN" projects published since 2006. Half of them returned 200. The others returned timeouts and redirects, which indicates that they perhaps get closed. So, what&
93.
Top 10,000 “Show HN”s 2006-2015: Where are they now? Please, share your story(plot.ly)
4 points by anton_tarasenko 10y ago|1 comments
94.
by anton_tarasenko 10y ago
Have a look: https://news.ycombinator.com/item?id=11499402
95.
by anton_tarasenko 10y ago
I think this is what you mean: https://docs.google.com/spreadsheets/d/1mmfbNWaX0Nr1P65VmwZp...
96.
by anton_tarasenko 10y ago
This is how it looks then: https://docs.google.com/spreadsheets/d/1hRpEmkV26VQSN2q_X9_B...
97.
by anton_tarasenko 10y ago
Paulgraham.com is in the second hundred.
98.
by anton_tarasenko 10y ago
This website looks like spam. Wayback Machine doesn't have its good history: http://web.archive.org/web/20030407151435/http://www.muckand...
99.
by anton_tarasenko 10y ago
Do you mean that duplicates from popular sources (NY Times, WSJ, etc) spoil stats for these sources?
100.
by anton_tarasenko 10y ago
The link is updated to reflect the following After SeanDav's question and minimaxir's comment, I summed up reposts' scores before computing the mean and the median: HN news sources by mean score : https://docs.g
101.
by anton_tarasenko 10y ago
These websites have the low median score. That is, many submissions, many of them not relevant, so the median is low.
102.
by anton_tarasenko 10y ago
A brief motivation for the parameters: 1. Sorting by the median. The mean is not very informative for the quality of the source. Most sources provide low-scored content with eventual hits that drive the mean up. The median fixes this proble
103.
Websites That Feed Hacker News: Top Sources of Submissions by Median Score(github.com)
134 points by anton_tarasenko 10y ago|48 comments
104.
Will Stephen, sarcasm on: How to Sound Smart in Your TEDx Talk(youtube.com)
2 points by anton_tarasenko 10y ago|1 comments
105.
by anton_tarasenko 11y ago
I had, but didn't publish. Any particular topics of interest?
106.
by anton_tarasenko 11y ago
Updated: I've added submissions from 2006-2008. Now it includes the entire HN history. Also, ranking by category: https://github.com/antontarasenko/smq/blob/master/reports/ha...
107.
Top Hacker News Submissions by Year: 2009–2015(github.com)
264 points by anton_tarasenko 11y ago|52 comments
108.
Top Hacker News Submissions by Category: 2006–2015(github.com)
3 points by anton_tarasenko 11y ago|0 comments
109.
Ask HN: What have you learned from postmortems of your projects?
1 points by anton_tarasenko 11y ago|0 comments
110.
Crowdsourcing online learning paths(studiy.co)
3 points by anton_tarasenko 11y ago|0 comments
111.
Common patterns and anti-patterns for civic tech(github.com)
2 points by anton_tarasenko 11y ago|0 comments
112.
by anton_tarasenko 11y ago
This repo includes basic queries like those used by "Top Books on Amazon Based on Links in Hacker News Comments" ( https://news.ycombinator.com/item?id=10924741 ). Previous discussions about HN's dataset on Big
113.
Show HN: Repository of queries to Hacker News(github.com)
2 points by anton_tarasenko 11y ago|2 comments
114.
Gartner Technology Hype Cycle in 2000(qzprod.files.wordpress.com)
16 points by anton_tarasenko 11y ago|2 comments
115.
18F Is Testing Micro-Purchase Auctions(micropurchase.18f.gov)
43 points by anton_tarasenko 11y ago|17 comments
116.
Y Combinator, Khan Academy, and Stack Exchange Are Better Than Universities(antontarasenko.com)
3 points by anton_tarasenko 11y ago|0 comments
117.
On the Origins of Gender Roles: Women and the Plough [pdf](nber.org)
2 points by anton_tarasenko 11y ago|0 comments
118.
by anton_tarasenko 11y ago
That's a project by https://18f.gsa.gov/ . Its code on GitHub: https://github.com/18F/openopps-platform
119.
Federal government employees publish their IT projects(openopps.digitalgov.gov)
6 points by anton_tarasenko 11y ago|1 comments
120.
Machine Learning for Economists: An Introduction(antontarasenko.com)
3 points by anton_tarasenko 11y ago|0 comments

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