Yesterday, I saw a short message and immediately thought, “Wait a minute, this could definitely be implemented quite well with hafSQL from 
The result of my work is a frontend that connects in the background to the hafSQL database. It fetches the latest power ups from Hive blockchain users and shows them in a clean and easy way. You can choose between different time ranges to load the information. At the moment there is a quick scan for the last 1 hour, a daily feed for an entire day, a weekly summary that shows all power ups from the last seven days, and a call that loads the last 30 days. I decided not to include a longer time range because the amount of data becomes very large. If I load more than thirty days the page becomes slow and too heavy for simple use.
Once the transactions are loaded you can use several filters. For example, you can show only power ups over > 100 HIVE, > 1,000 HIVE, > 10,000 HIVE, or even > 100,000 HIVE. This helps to highlight big movements that do not happen every day. You can also search the list for specific usernames. If the power up came from staking rewards or from an external account, you can filter that as well. This means you can see if a power up was done to the own account or if someone decided to power up another Hive account.
It's hosted on Vercel and you can access the Tool here:
https://power-up-tracker.vercel.app
🚀 Features
- Real-Time Monitoring: Monitor Power-Ups across various time intervals (1h, 24h, 7d, 30d).
- Interactive Data Analysis:
- Account Drilling: Click on any username to instantly filter all transactions associated with that account.
- Volume Filters: Predefined filters for significant stakes (> 100, > 1K, > 10K, > 100K HIVE).
- Performance Optimized:
- Paginated Output: Smoothly browse through thousands of records.
- Memory Purge: "Clear Buffer" feature to release system memory when handling extremely large datasets.
- Visualizations: Dynamic "Density Plot" (Oscilloscope-style) to identify Power-Up spikes.
- System Logs: Live logging of all database queries and system events.
TOP_STAKERS
For each view (selected period), the top 20 stakers are also calculated and displayed. These are the users who have powered up the most HIVE during the period.
Feedback is welcome... if you need improvements/adjustments, just write a comment. Thank you for your support.