This is a very detailed and thoughtful update. I appreciate how you shared the “friendly fire” experience because it shows that even automated systems need human judgment and continuous refinement.
The idea of testing with low weights and learning from real interactions sounds like a responsible approach, especially in a space where reputation and trust matter a lot.
As someone who has also experienced unexpected downvotes from automated systems, I can relate to the importance of transparency and careful tuning. It’s encouraging to see developers openly discussing edge cases and improving their tools instead of just running them silently.
Wishing you success with the beta phase, and I hope the project continues to evolve in a way that protects the ecosystem while supporting genuine contributors.
RE: 🛡️ Hive Scout v0.1BETA: Beyond Autovoting — Real-Time Detection & My 10+ Days Mute List