active 2025-01-29 → 2025-01-31 (UTC)
Complete coverage26,735 / 26,735 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-01 (UTC)
Events
9
Pushes
0
Pull requests
0
Issues
7
Stars
0
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2025-01-29 to 2025-01-31. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 7 total, peak 7 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Cetykon | 7 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#28Cetykon2025-01-31 03:56As a user I want the app to tell me if I am fallowing an unfamiliar path during a workout through my headphones, so that I don't need to keep doing the exercise incorrectly.
- Issue#27Cetykon2025-01-31 03:49As a user I want the app to give me corrected feedback after it detects a wrong bar path or direction while doing a workout, that I know what to adjust.
- Issue#26Cetykon2025-01-31 03:49As a user I want the app to detect if I am fallowing an unfamiliar bar path or direction while doing my workout, so that I can make adjustments on my next set.
- Issue#25Cetykon2025-01-31 03:39As a user I want the app to be design around taking different body proportions into account, so that I know that it is giving me the correct feedback.
- Issue#24Cetykon2025-01-31 03:39As a user I want the application to take my body proportions so that I know the application is taking this into account when giving me feedback.
- Issue#1Cetykon2025-01-31 03:28As a user I want the app to be able to identify the workout that I am doing so that I don't need to use the touch interface
- Issue#22Cetykon2025-01-31 03:24As a user I want the app to be equipped with a machine learning model trained to identify different workout, so that it can identify them.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.