https://github.com/Steemhunt/web
Steemhunt is one of the leading projects on the Steem blockchain. They reward users for hunting cool new products. Trough all 2018 they kept innovating introducing concepts and leading the way for the other Steem projects. The latest move from them also proves this. They are trying to get the Steemhunt token out on the market even before SMTs are out. They are about to get Steemhunt token on an exchange as an ERC20 token and later, when the SMTs are released, converted them to SMTs. Excellent job from them.
In this analysis, daily data will be presented for the Steemhunt activities. Steemhunt has a unique way of operating with hunts being posted and then approved by the moderators. They are rewarding the top hunts for the day with a vote from them. Furthermore, they are rewarding comments on the hunts. It is not just about finding a cool new product, but engaging discussion as well. Because of this a more detailed look will be made on the comments side and on the Steemhunt moderators. A ranking on the Steemhunt users for 2018 will be made as well.
The analysis was carried out for the period from 01.01.2018 to 31.12.2018. Data from the Steem blockchain was used and details of the queries can be found at the bottom of this post.
Activity on the platform is in posts and comments. Steemhunt have their own web interface and web extension as well. All of the posts and comments made on the Steemhunt web are ending on the Steem blockchain. They have integrated a scoring system for the products that appears on their interface, so they can make daily ranks of the products.
Posts and comments can be made on their web, but also from the other steem interfaces like Steemit, Partiko, Busy etc. Because of this I have aproched the data activities in two different ways. The first is showing all the post and comments with the steemhunt tag, and the second one is for the posts and comment made only with the steemhunt.app.
Here is the data for 2018. Data for each day was collected and presented on this graph.
As already mentioned here is the data collected with the two different methods. As expected, the overall data containing the steemhunt tag have more activities that the posts and comments made only trough the Steemhunt interface.
The total number of posts and comments on Steemhunt in 2018 is 369.343, out of which 306.430 posted from the Steemhunt web
This is a difference in around 20%. Since this is an analysis about the
What does the overall activities number on Steemhunt tells? The project started humble with low number of posts in March and April and then increased massively at the end of May and in June. The reason for this is the big delegation that
There was a drop in July 2018, and then back again with numbers stabilizing around 2000 per day. Then comes the Hardfork, and a sharp drop in activities because of it. After the HF20 the activities follows the price of Steem. As the prices are going down so does the activities on the platform. At the end of the year Steemhunt has around 800 posts and comment per day on average.
As already mentioned, Steemhunt is stimulating commenting on the platform. Let’s see the structure of posts and comments on Steemhunt in 2018.
Below is a breakdown of posts and comments and their movement in 2018.
The upper line represents the comments. Immediately we can see that there are a lot more comments then posts on the platform. Steemhunt wants user’s engagement and comments. They want to hear what people think about the products posted there. And they have pretty much succeeded in their mission.
A total of 50.459 posts on the platform, and 255.971 comments. A 1 to 5 ratio post to comments.
The overall activities follow the first chart.
Although what can be noticed here is that there is a much bigger drop in comments than posts. In November 2018 there is a massive drop in comments. Changing the voting strategy on comments may be one of the reasons because this happened. Steemhunt introduced a scoring system for the comments, similar to one for the posts. In order a comment to be voted from steemhunt, it need to receive votes from the community first. The year end with around 150 daily posts and 600 comments.
A lot of comments are produced on the Steemhunt platform. Users get rewarded for a decent comment on the platform. Let’s get a closer look to the comments.
Comments are made from Steemhunt users, moderators and the Steemhunt account as well. The moderators approve each hunt with a comment. Steemhunt is telling people when they vote their hunt.
Here is a breakdown of comments from users, moderators and Steemhunt.
The upper line represents comments from users, the middle one moderators comments, and the lower one Steemhunt comments.
A total of 183.921 user comments, 47.512 moderators comments and a 24.538 steemhunt comments.
That is a lot of comments 😊. The users share is around 72%. Not bad at all. The moderators have done an excellent job as well with 47k of comments. Bravo to them.
Since moderators are playing such an important role on the Steemhunt platform, approving each hunt, lets take a look at their activities on the platform. More closely on the number of comments they posted, because in this manner they approve the hunts.
The Steemhunt moderators team is: 
The absolute champion is
Here is a chart with the overall comments from the Steemhunt moderators.
Congrats on the job done from the moderators.
Steemhunt reward its users with votes for the product they hunt and put them on the platform. Also, they reward users for the comments they made. I’m not entirely sure about the criteria for the product hunts, but they vote quite a lot. The highest the hunt score the better the vote. Before November they voted at least two comments per user daily and after they introduced hunt score for the comments as well.
Here how the voting looks in 2018.
The total number of posts and comments voted from Steemhunt in 2018 was 166.457
This is impressive. Steemhunt has gave a great support to community with a huge number of votes. I think this is the biggest number of votes that a steem dapp have rewarded.
From the chart we can see that the number of votes increased a lot at the end of May, after what it stabilized it self around 600 daily votes, growing steadily until November. After November we can see a sharp drop in the number of daily votes. This correlate with the number of comments made. It is because of the new voting system for comments that was introduced. After this the number of daily votes from Steemhunt remained the same until the end of the year. Just below 500.
Below is a chart with the number of monthly users that received vote from Steemhunt.
A Total of 2120 users received a vote from Steemhunt in 2018.
This is a great number of users supported by Steemhunt. Here we can see a sharp increase in the number of users suported by Steemhunt in June 2018. After that it stiblizes it self around 600 monthly users suported by Steemhunt, and the last two months of the year there is a drop and in December 2018 this number is around 300. This drop is again becouse of the change in policy of the comments voting.
Below is a chart with the number of unique users that posted on Steemhunt in 2018.
The chart represent the number of unique users, not a daily or monthly active ones. We can see that new users continued to arive to the platform in all of the 2018. The biggest growth is in June , and then it is steadily growing till the end of the year. In the last quarter of the year a total of 600 new users posted from the Steemhunt platorfm. This is a great achivment for the period, having in mind that the price of crypto droped masivley.
In 2018 a total of 4449 users posted on the Steemhunt platform.
Below is a table with the most active Steemhunt users ranked by the number of posts and comments they made.
| No | User | Number of posts and comments |
|---|---|---|
| 1 |  @calprut | 3767 |
| 2 |  @chronocrypto | 2933 |
| 3 |  @vinzie1 | 1883 |
| 4 |  @ryacha21 | 1411 |
| 5 |  @karamyog | 1259 |
| 6 |  @lavanyalakshman | 1247 |
| 7 |  @chuuuckie | 1207 |
| 8 |  @salmanbukhari54 | 1194 |
| 9 |  @sabari18 | 1154 |
| 10 |  @macoolette | 1133 |
| 11 |  @mamun123456 | 1015 |
| 12 |  @mobi72 | 988 |
| 13 |  @johntor | 985 |
| 14 |  @toffer | 964 |
| 15 |  @xabi | 946 |
| 16 |  @folken | 941 |
| 17 |  @rosatravels | 863 |
| 18 |  @feelsogood | 861 |
| 19 |  @stillwater | 857 |
| 20 |  @elleok | 855 |
Congratulation to the top Steemhunt Users in 2018! You have done a great job on the platform and been quite active.
On the first place is
Note on the top users and moderators: The moderators are excluded from this ranking. Also as pointed out from
No doubt Steemhunt is an amazing project. From the analysis we can see that there are some changes that happened in the year. This is the right way to go. You launch a product, tested out and adjust on the way. They are continuously working on the project, improving it and pushing it in the right direction. They had a great start with a massive growth in users and posting in May 2018. At the end of the year we see a drop in activities but mainly in the comment section. The number of posts/hunts remains stable. The moderators are also doing a great job with a ton of comments. In terms of users, post and voting, Steemhunt is on the top of the list from all the Steem dapps.
A total of 4449 users posted from the Steemhunt platform in 2018, with around almost 300.000 posts and comments. This number don’t include the posts and comments from other steem interfaces.
The data was gathered in Excel From Steemsql held and managed by 
The query used to get post information from the Steemhunt web was:
Source = Sql.Database("vip.steemsql.com", "DBSteem", [Query="SELECT#(lf) author,#(lf) total_payout_value,#(lf) net_votes,#(lf) created,#(lf)children,#(lf)category,#(lf)depth#(lf)FROM comments (NOLOCK)#(lf) where CONVERT(DATE,created) BETWEEN '2018-01-01' AND '2018-12-31' AND#(lf) IIF(isjson(comments.json_metadata) = 1, IIF(CHARINDEX('/', json_value(comments.json_metadata, '$.app')) > 0, SUBSTRING(json_value(comments.json_metadata, '$.app'), 1, CHARINDEX('/', json_value(comments.json_metadata, '$.app'))-1),json_value(comments.json_metadata, '$.app')), null) = 'steemhunt'"]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"created", type date}})
in
#"Changed Type"
The query used to get post information with the tag steemhunt was:
Source = Sql.Database("vip.steemsql.com", "DBSteem", [Query="SELECT#(lf) author,#(lf)json_metadata,#(lf) permlink,#(lf) total_payout_value,#(lf) pending_payout_value,#(lf) net_votes,#(lf) created,#(lf) children,#(lf) Category,#(lf) Depth#(lf)#(lf)FROM comments (NOLOCK)#(lf)where CONVERT(DATE,created) BETWEEN '2018-01-01' AND '2018-12-31' and#(lf)contains (json_metadata, 'steemhunt')#(lf)#(lf)#(lf)#(lf)"]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"created", type date}})
in
#"Changed Type"
The query used to get vote information was:
Source = Sql.Database("vip.steemsql.com", "DBSteem", [Query="SELECT #(lf)voter,#(lf)author,#(lf)weight,#(lf)timestamp#(lf) FROM Txvotes (NOLOCK)#(lf) WHERE [voter] in ('steemhunt')#(lf) AND CONVERT(DATE,timestamp) BETWEEN '2018-01-01' AND '2018-12-31'"]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"timestamp", type date}})
in
#"Changed Type"