tweetindex

ClickHouse

@ClickHouseDB · Bay Area / Amsterdam · joined 27 Jan 2017

ClickHouse is the fastest open-source OLAP database ⚡ Download: https://t.co/3JKlDJbkcH GitHub: https://t.co/bjCe9qIetg Slack: https://t.co/d95c6jVeJm

19 743Followers
64Following
4 923Posts total
7.6MViews on collected posts

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views2 370this account2 751median for 10K–100K
Reach, %12.00%this account9.00%median for 10K–100K
Engagement, %1.14%this account1.65%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post2 3702 7510.86×
Reach (views ÷ followers)12.00%9.00%1.33×
Engagement rate1.14%1.65%0.69×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

7.6M3 Aug
3K1 Sep
2.4K2 Sep
1.1K
2813 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.01%3 Aug
1.42%1 Sep
1.14%2 Sep
1.62%
1.07%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes72.8%701 in total
Reposts8.8%85 in total
Replies7.3%70 in total
Quotes2.0%19 in total
Bookmarks9.1%88 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Similar accounts