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yuhonas
free-exercise-db
Vue2024–2026
yuhonas / free-exercise-db

free-exercise-db

Open Public Domain Exercise Dataset in JSON format, over 800 exercises with a browsable public searchable frontend

2Distinct people
2Mentions
0Explicit recommenders
2.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Open Public Domain Exercise Dataset in JSON format, over 800 exercises with a browsable public searchable frontend

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, 5:04:57 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 month2 dated mentions

Observed mentions: 2024-12-18 08:52:47 UTC to 2026-01-07 21:19:57 UTC.

012024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 20242025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 20252025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 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 2026-02-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 2026

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
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC110

What Hacker News says

2 sources
mzitelli·Jan 7, 2026Submission

Show HN: An offline first, with state-in-URL, workout planning and tracking app

After getting frustrated with existing workout planning and tracking apps, I decided to build my own with the following requirements: - allow tracking weight, reps, difficulty per series - being flexible, so I have my plan, but can adapt without having to change my original plan - it surfaces the relevant context when needed - it adapts to my trains - i can access it anywhere - don't let me get distracted - low maintenance I decided to solve that with an app with the following user flow: - you plan workout days with exercises in order, no weights, supersets, or anything, that will be detected and defined as you train - when working out, you select an exercise, put the desired weight, reps, rest time, and start one set - when done with the set, mark its difficulty - a sound will ring when your rest time ends - as you go, and have a history
Read the rest
of exercises, the app automatically suggests the next exercise, weights, reps, and resting time based on a few heuristics - you can always select another exercise from the day, from another day, or even search for a completely different exercise The app includes the entire state in the URL, so no server is required. We use the amazing https://github.com/yuhonas/free-exercise-db. Big kudos to the creators! In the end, the entire site and DB are hosted by GitHub. The URL is from my current usage. You can view my daily plans and previous sessions there. In the plans, you can click on exercises to see suggestions based on previous sessions. All edits you make will alter the URL and be saved in local storage. When you return to https://mateuszitelli.github.io/trainlink/, the page restores its previous state. It has been very pleasant to use it in the last few days. Please, try it and let me know what you think. You can find the source code here: https://github.com/MateusZitelli/trainlink
2 points · Open discussion

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