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danburzo
percollate
JavaScript2018–2024
danburzo / percollate

percollate

A command-line tool to turn web pages into readable PDF, EPUB, HTML, or Markdown docs.

7Distinct people
8Mentions
0Explicit recommenders
4.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A command-line tool to turn web pages into readable PDF, EPUB, HTML, or Markdown docs.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 year8 dated mentions

Observed mentions: 2018-10-10 09:42:49 UTC to 2024-10-21 15:35:21 UTC.

01232018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20182019-01-01 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): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 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): 1 mentions; 0 submissions, 1 comments2024

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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC312
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 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
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 UTC101

What Hacker News says

8 sources
Since I'm working on a similar project, this is how I am planning to pull content from the web, utilizing percollate[1] to get the HTML content, I haven't written any implementation for this in Python yet. If you don't mind me asking, how were you going to implement spaced repetition? Since the Incremental Reading algorithm has never been published as far as I know. [1]: https://github.com/danburzo/percollate
In Show HN: Lurnby, a tool for better learning, is now open source
I do a lot of this work[3] (web to documents) and it's interesting to see other approaches. The medium image problem is something I've faced as well, but never got around to fixing. I'm planning to get a Remarkable soon, so will definitely be trying this out. My personal solution has been https://github.com/captn3m0/url-to-epub/ (Node/readability), which I've tested against the entirety of Tor's original fiction collection[0] where it performs well enough (I'm biased). Another tool that does this beautifully well is percollate[1], but it doesn't give enough control of the metadata to the user - something I really care about. I've also started to use rdrview[2], which is a C-port of the current Firefox implementation of "reader view". It is very unix-y, so it is easy to pipe content to it (I usually run it through tidy first). Quite helpfu
Read the rest
In Reading the web offline and distraction-free

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