GitKraken ✓

@GitKraken · Scottsdale, AZ · joined 17 Mar 2015

GitKraken’s DevEx platform orchestrates workflows between devs & AI to save time & boost productivity. Powering 40M+ devs at 100K orgs 🚀

17 055Followers

212Following

10 563Posts total

2.6KViews on collected posts

Latest posts

GitKraken ✓@GitKraken10 Sep

We asked devs if they could prove their AI agents are paying off. Only 24% said yes. The rest are just running on gut feelings, guessing, or already suspecting they’re spending more than they’re saving. Full poll data (and what devs actually want to measure instead of cost):

392 views · 0 likes · 0 reposts · 0 replies Open on X →

GitKraken ✓@GitKraken9 Sep

Your Git workflow shouldn’t be creating more work than the code itself. Get GitKraken Desktop, GitLens, and Kepler access together for up to 60% off for just a limited amount of time. https://t.co/2nuyleLDBF https://t.co/0noz1q1lt9

393 views · 0 likes · 0 reposts · 0 replies Open on X →

GitKraken ✓@GitKraken8 Sep

Not sure what Kepler is or how to use it? We built a full tutorial series covering tasks, actions, the Agent Graph, and running agents in parallel without losing the thread. Watch: https://t.co/XRMBBgFxJk Or jump in now: https://t.co/EbDhmo2a3i #CodeFlow #GitKraken #Kepler

540 views · 3 likes · 2 reposts · 0 replies Open on X →

GitKraken ✓@GitKraken4 Sep

"It's very difficult, at least for me, to parse and focus on what's going on there." Our Director of Engineering on why watching an agent's raw text log doesn't work, and why Kepler now shows you a graph instead. https://t.co/lphDtw8uIY https://t.co/bwypnHU9sC

0:44

749 views · 1 likes · 0 reposts · 0 replies Open on X →

GitKraken ✓@GitKraken3 Sep

We went live to launch GitKraken Insights for Developers. Cost and usage data down to the PR level, plus parallel agent workflows in one surface. Full recap, plus the live Q&A on dev containers, worktree cleanup, and what's next: https://t.co/hlQNjzKm1S https://t.co/2qyi5xgMpk

0:50

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

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views493this account924median for 10K–100K

Reach, %2.89%this account3.62%median for 10K–100K

Engagement, %0.13%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	493	924	0.53×
Reach (views ÷ followers)	2.89%	3.62%	0.80×
Engagement rate	0.13%	1.52%	0.09×

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

4933 Sep

7494 Sep

5408 Sep

3939 Sep

39210 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

0.41%3 Sep

0.13%4 Sep

0.93%8 Sep

0.00%9 Sep

0.00%10 Sep

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

What the audience does

Likes75.0%6 in total

Reposts25.0%2 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.