I am excited to share the newest addition to my growing suite of Hive analytics tools: the Hive All Weekly Authors Analytics Dashboard.
You can use it here:
https://seattlea.z5.web.core.windows.net/authors-dashboard.html
This report gives a full, transparent view of author rewards activity on Hive for the last 7 days, with high performance and no dependency on public Hive API servers for the analytics itself.
My strategy is simple: build a full suite of tools that puts real Hive data into the hands of all users, not just developers who can write SQL against HAF.
I started with Curator Analytics, and now I am expanding into author analytics with the same approach:
Fast data pipeline
Repeatable automation
Visual dashboards anyone can use
Frequent refreshes
Full transparency
This is just the beginning of the project and I intend to build out the most extensive analytics and analysis suite that Hive has.
This is not just another JavaScript HTML Page using Hive API calls to display data that is publicly available via API.
This dashboard is built on top of HAF sources data, then pushed into a static analytics experience that loads fast and is easy to explore. The key difference is that the heavy lifting happens in SQL and automation pipelines, not in live API pulling from the browser.
That means:
Better performance - no need to place extra load on publicly available Hive APIs
Stable reporting - data is queried once every four hours
Scalable foundation for more analytics tools
The dashboard includes a full analytics layer for weekly author rewards, including summary KPIs, distribution analysis, tiers, rankings, filtering, and export.
Current snapshot in the dashboard shows:
Total Authors Rewarded: 2,110
Total Author Rewards: 257.17K HP
Average HP per Author: 121.88
Median HP Earned: 28.84
Top Author HP Rewards: 67.22K
Bottom 50% Average HP: 8.59
One number that really surprised me was a total authors that were active on Hive in the last seven day period that has paid out the rewards: 2,110! That is a very low number, which made me come up with a dashboard that shows everything you could possibly want to know about the last five years of weekly active authors on Hive. That dashboard is coming soon...
It also highlights Top 5 weekly authors and includes multiple analytical views:
Top 15 Authors by HP Rewards
Curation Events Distribution
Top vs Average Author Comparison
Author Rewards Distribution (all authors)
Author Rewards Distribution (authors at or under 6000 HP)
HP Earned by Author Tier (Top 3, Next 10, Next 87, Rest)
Top 100 Authors by HP Rewards (filtered to <= 6000 HP)
What I see interesting here is that top rewarded authors on Hive are actually not real authors: hbd.funder, buildawhale and poshtoken. The first real author and most rewarded one in the last seven day period is actually cryptoandcoffee! Congratulations man, you have been around for-ever, stayed consistent and definitely deserve it!
In the second place is tarazkp who has been around forever and is very consistent as well.
In the third place is oflyhigh I don't really follow him as he seems to be writing in Chinese :) He has also been around for a while as you can see from my Hive Report Card tool fork:
The real authors in the top 10 for this week are:
That wraps up the Hive Authors top ten for last week and there is also a complete sortable table with:
Author search
Minimum HP filter
CSV export for downstream analysis
Click-through links to deeper author report cards
I built a custom automated pipeline that:
Runs SQL against HAF data for the latest 7-day window
Aggregates author-level curation reward metrics
Converts reward values into approximate HP
Publishes data to cloud storage as JSON
Publishes dashboard updates to static hosting
Data refresh is automated every four hours, so users get fresh numbers throughout the day. I believe that a four hour refresh strikes a good balance between freshness of the data and load on back-end services.
For me, this is about making Hive analytics practical and open. If we want better decisions, better strategy, and better transparency in the ecosystem, we need tools that are:
Fast
Trustworthy
Easy to use
Available to everyone
This dashboard is one piece of that vision. And as a Hive Witness who never powers down his Hive Power I am interested in the long term success of this ecosystem.
This is just the start!
I am building this into a broader Hive analytics suite where curators, authors, and community participants can all see meaningful blockchain data without barriers. Expect more dashboards, more dimensions, and deeper analysis as I expand the pipeline.
If this is useful to you, test the dashboard and tell me what you want added next. I have lot's of my own ideas of what I want to see, but I definitely welcome feedback from Hive community members.
I am a Hive Witness and I would appreciate your vote:
https://vote.hive.uno/@seattlea
