InfluencerTracker is a data-driven system that tracks influencer engagement, ranks top influencers using Splay Trees, and enables company bidding based on a marketing score. It efficiently manages user interactions (likes, dislikes, searches) and generates monthly performance reports for influencers. 🚀📊
active 2025-02-12 → 2025-02-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2025-02-12 to 2025-02-13. Pushes: 3 total, peak 2 in a day. Pull requests: 7 total, peak 5 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 3 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 |
|---|---|---|---|---|
| BallaRaja | 7 | 3 | 2 | 2 |
| Kuladeep-Reddy-C | 5 | 0 | 4 | 1 |
| Uppara-Veeranjaneyulu | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
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.