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pascalw
kindle-dash
Shell2021–2025
pascalw / kindle-dash

kindle-dash

Power efficient dashboard for Kindle 4 NT devices

5Distinct people
10Mentions
0Explicit recommenders
1.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Power efficient dashboard for Kindle 4 NT devices

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, 1:49:46 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 year10 dated mentions

Observed mentions: 2021-01-28 07:04:08 UTC to 2025-12-30 13:11:13 UTC.

012342021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20232024-01-01 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): 2 mentions; 0 submissions, 2 comments2025

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
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC413
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
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 UTC202

What Hacker News says

10 sources
Hey HN, I built this project because last year I did a terrible job of actually taking time off work and needed a way to see just how overdue I was to take a day off. Because so much is already automatically tracked in my calendar (e.g. the HR system adds calendar events for booked holiday), I just needed a way to query it to get the metrics I wanted. Originally I used a Go MySQL implementation to evaluate queries but it was a bit buggy and didn’t support all the SQL I wanted. Now I’m using a full SQLite database for each user so you can really do some gnarly queries (recursive CTEs, window functions, the works). Personally, I’m using QueryCal as a Grafana datasource to power a dashboard that’s displayed on an old Kindle on my desk (using this great project: https://github.com/pascalw/kindle-dash).
In Show HN: QueryCal – calculate metrics from your calendars using SQL

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