CircleCI

@CircleCI · San Francisco · joined 27 Sep 2011

CI/CD at AI speed. Validate code autonomously. Ship confidently.

39 324Followers

5 933Following

14 340Posts total

3.1KViews on collected posts

Latest posts

CircleCI@CircleCI23 Sep

We’re redesigning parts of CircleCI for a new kind of user: coding agents. That means rethinking everything from how much context they should get to which tools they can access and how we evaluate their work. Here’s what we’ve learned so far: https://t.co/zGCwF2sD5y https://t.c

640 views · 1 likes · 0 reposts · 3 replies Open on X →

CircleCI@CircleCI22 Sep

Your CI shouldn’t go down every time GitHub Actions does. CircleCI can now run supported GitHub Actions workflows directly on CircleCI infrastructure. Keep your YAML, move CI off GitHub’s critical path. Now in open preview on Linux: https://t.co/cs2SqSXDdq https://t.co/D3tC3tWW

1:18

689 views · 2 likes · 1 reposts · 0 replies Open on X →

CircleCI@CircleCI22 Sep

@CircleCI This is an important reminder for product teams: useful contribution is not limited to writing code. Design, research, support, and user feedback can improve the product loop just as directly when the collaboration path is clear. 2 views · 0 likes · 0 reposts · 0 replies Open on X →

CircleCI@CircleCI21 Sep

You don’t have to write code to help build the product. More from Jacque: ttps://circle.ci/46mcc5F https://t.co/oFCcIK9t41

0:29

734 views · 4 likes · 0 reposts · 1 replies Open on X →

CircleCI@CircleCI17 Sep

Known error. Known fix. Much faster feedback loop. That’s where AI-assisted testing gets interesting: https://t.co/96W5ftnOnp https://t.co/QwCAfBAO5n

0:27

552 views · 2 likes · 0 reposts · 0 replies Open on X →

CircleCI@CircleCI16 Sep

Things are moving fast. Too many layers just make them move slower. @z00b on why leading through rapid change has meant getting closer to the work and more direct with communication: https://t.co/IFIyBzwtm9 https://t.co/2jUHiqLquE

0:54

532 views · 2 likes · 0 reposts · 1 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views596this account924median for 10K–100K

Reach, %1.52%this account3.62%median for 10K–100K

Engagement, %0.50%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	596	924	0.65×
Reach (views ÷ followers)	1.52%	3.62%	0.42×
Engagement rate	0.50%	1.52%	0.33×

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

53216 Sep

55217 Sep

73421 Sep

222 Sep

689

64023 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.56%16 Sep

0.36%17 Sep

0.68%21 Sep

0.00%22 Sep

0.44%

0.62%23 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes61.1%11 in total

Reposts5.6%1 in total

Replies27.8%5 in total

Bookmarks5.6%1 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.