Hive Analytics Beta was announced a week ago. You can check out the announcement post here.
Hive Analytics provides reports on all aspects of the Hive ecosystem from curation, content, financial with a large set of anti-abuse tools.
The current beta version of Hive Analytics has 24 reports with the plan to have over 100 new reports and tools. Hive Analytics uses smart caching using valkey, a Redis compatible cache, to massively reduce the load on nodes and databases used to build the reports while providing excellent performance to end users.
After running for about a week, I can see the most popular reports being run.
The Value Plan spending is the most popular report.
While the current report simply aggregates the available data by who funds are dispersed to, the plan is to offer additional views that will group funding by project as well.
It is no surprise Hive whales is one of the more popular reports replacing the old Whales tool from many years ago.
This report pulls the top 1000 accounts, my goal is to support all accounts, but this will be a lot more complicated to accomplish in a way that doesn't hit timeouts on the backend but also doesn't take forever to run.
The next report took me by surprise, but shows the HP holdings of all accounts created by a specific account with leo.voter and ocd being the popular ones looked at.
There are currently 24 reports live on Hive Analytics beta with at least 100 others planned. My goal is to replace all the reports I have in my backend proprietary system as well as new ones over time. These reports include all aspects of the Hive Ecosystem from native layer 1 (Hive) and layer protocols like Hive Engine, Splinterlands, VSC, and more. The idea is to make data available to everyone without having any technical experience.
A significant part of Hive Analytics will be the anti-abuse tooling that will allow abuse fighters to find patterns and research abuse easier and faster than ever. These reports will be locked down to a very small trusted whitelist of users but will make life a lot easier.
Export functionality will be built into every report when possible to allow exporting data as CSV and markdown (usable in posts).
I also want to revamp my Personal Dashboards into Hive Analytics.
You can find more information about Hive Analytics beta in the introduction post or you can go check it out here and see for yourself.
I already did the work to get the framework of the project up and running. This demo allows you to see how further reports will work and the type of data available. As more reports are added, more complications will come up to collect and make available data in in a timely manor. Some of these are more complicated and will require more backend systems and databases to aggregate data so it can be presented in a timely manor to users.
| Item | Amount (HBD) | Notes |
|---|---|---|
| Revenues | ||
| DHF Funding (Accrued Hourly) | 6,000 | $100/day × 60 days; recognized as earned upon milestone delivery. |
| Total Revenues | 6,000 | |
| Expenses | ||
| Operating Expenses | 200 | Hosting services ($100/month × 2) |
| Developer Labor (Compensation) | 5,800 | Solo dev time at ~$96.67/day equivalent; accrued over project period. |
| Total Expenses | 6,000 | |
| Net Surplus (Deficit) | 0 | Break-even |
This proposal is for 60 days, and if approved would be continued as a yearly proposal.
I am asking 100 HBD/day for maintenance, hosting, and development. If approved, a new proposal will be submitted each year to continue these tasks.
https://peakd.com/proposals/358
https://ecency.com/proposals/358
