| Crates.io | twitchdrops_miner |
| lib.rs | twitchdrops_miner |
| version | 0.3.3 |
| created_at | 2025-11-01 10:37:57.364953+00 |
| updated_at | 2026-01-09 09:12:03.873631+00 |
| description | Automatically watches Twitch streams and claims Time-Based Drops for selected games |
| homepage | https://github.com/this-is-really/TwitchDropSentry |
| repository | https://github.com/this-is-really/TwitchDropSentry/tree/main |
| max_upload_size | |
| id | 1911893 |
| size | 103,982 |
[!NOTE]
🚀 Release Candidate Notice (0.3.0)
This is a Release Candidate (0.3.0). The major feature set is complete, and all critical bugs found during the Beta phase have been fixed.
Your main purpose in testing this version is to:
- Find any remaining minor bugs and unexpected edge-cases.
- Evaluate usability and overall user experience.
- Test the application under real-world conditions.
While this build is practically ready for production, it is still a pre-release and may contain issues that affect data or performance. Do not use this version for critical production data.
Thank you for your feedback!
This is a command-line tool designed to automatically watch Twitch streams and claim Time-Based Drops for a selected game.
It runs in the background, finds eligible streams, simulates watch time by sending the necessary GQL events, and automatically claims drops as they become available.
data/save.json).data/cash.json to avoid re-claiming.Precompiled binaries are available for the most common platforms:
Windows
Native executable (.exe) for x86_64
Linux
ELF binary for x86_64
Docker 🐳
A community-maintained Docker image is available.
Maintained by @Addison-Usc.
Repository:
https://github.com/Addison-Usc/TwitchDropBot
Bugs were common during the Alpha stage, but this Release Candidate is significantly more stable. All critical issues found during the Beta phase have been fixed, and any remaining problems should be minor.
If you still encounter any crashes, errors, or unexpected behavior, please open an Issue in this repository.
Please consider rating this repository by clicking the star in the top-right corner of the page on GitHub (you need to be logged into your account). This gives me the motivation to keep developing this project.

Your support will accelerate development and help ensure the long-term maintenance of this project.