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avinassh
haxor
Python2014–2026
avinassh / haxor

haxor

Unofficial Python wrapper for official Hacker News API

6Distinct people
12Mentions
0Explicit recommenders
164GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Unofficial Python wrapper for official Hacker News API

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:45:45 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year12 dated mentions

Observed mentions: 2014-10-10 16:58:45 UTC to 2026-01-31 22:17:53 UTC.

012342014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC211
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC413
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC413
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

4 sources
Hi, I created redigest.it because I was unhappy with reading Hacker News and reddit. The goal is to get the best content in less time. The three major pain points redigest.it improves for me are: 1. I want to see links once, then hide them. 2. I want to have better control over which links and how many of them I get to see. Especially when I haven’t visited the sites for more than a day facing a large backlog. 3. I often want to see the best links since my last visit instead of “hot” links. (reddit’s “top” fails because it underrepresents small subreddits as they tend to have low scores.) Visiting the sites too often shows me few new links under many that I’ve already seen. Visiting the sites too rarely makes it easy to miss good links/discussions and overwhelming due to the amount of content. More detailed descriptions of the benefits: -
Read the rest
Hacker News: http://www.redigest.it/hn/why - reddit: http://www.redigest.it/r/why There are three digests so far: - Hacker News: http://www.redigest.it/hn/ - reddit’s /r/all: http://www.redigest.it/r/ - Your personal reddit frontpage: http://www.redigest.it/r/my/ The personal reddit digest is the one with the most improvements so far. The site is using: - Flask - RethinkDB - haxor for the Hacker News API: https://github.com/avinassh/haxor - Praw for the reddit API: https://praw.readthedocs.org/ Next, I’m going to take the number of comments into account for the HN digest. Looking forward to your feedback!
In Show HN: redigest.it – Digest for Hacker News and reddit
> Compute pair-wise Jaccard similarity of all articles with each other and output the articles whose title similarity is greater than 0.5. If I understand correctly, it checks the similarity between titles. How effective it will be if it also checks similarities between the article contents? Sometimes, the article may not have similar looking titles, but talking about same thing. Example: [0], [1], [2] OT: You can use Python haxor to get articles from the HN [3]. Disclaimer: I wrote it. [0] - http://www.bloomberg.com/news/articles/2015-07-17/google-app... [1] - http://www.cnbc.com/2015/07/17/googles-one-day-rally-is-the-... [2] - http://www.bbc.com/news/business-33572959 [3] - http://github.com/avinassh/haxor
In De-duplicating Hacker News

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