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Dave Kline

@dklineii · Join 47,000+ Leaders → · joined 16 Mar 2011

Become the Leader You’d Follow | Founder @ MGMT | CEO Coach | Advisor | Speaker | Trusted by 300K+ leaders. | Work with us: https://t.co/6P5ZGqxCyc

107 514Followers
692Following
32 610Posts total
122.4KViews on collected posts

โพสต์ล่าสุด

This is only as amazing as the people you have driving it. Lovable might be blessed top to bottom with A-players who have strong judgment and dedication to high ROI work. Discretion. Restraint. Product sense. Each person only productizing tasks that truly add value. But at 1.8K views · 6 likes · 0 reposts · 1 replies Open on X →
Nobody stole your time. You handed it over. One accommodating Yes at a time. Employees spend 18 hours a week in meetings. Leaders 23. Harvard says 71% of them are wasted. Your issue isn't capacity. It's courage. Here's how to steal back your time: 6K views · 39 likes · 1 reposts · 5 replies Open on X →
Consensus is how good teams make bad decisions slowly. Every objection dilutes the decision until nobody hates it and nobody believes in it. Leadership is making the contrarian calls that turn out to be right. There's no alpha in a decision everyone would make. 4K views · 34 likes · 0 reposts · 12 replies Open on X →
A CEO I coach runs a services business where everyone "uses AI." He's frustrated. Costs are up. Throughput us unchanged. Quality is a little less predictable than before. The problem wasn't the tool. Here's what it was: 12.4K views · 20 likes · 3 reposts · 2 replies Open on X →
@dklineii Building your own support system beats waiting for the title that comes with one. 2.9K views · 13 likes · 1 reposts · 3 replies Open on X →
Example: Six months in, your AI Chief of Staff notices your PM is missing deadlines the same way they did in Q1. It flags the pattern before your next 1:1. You run a different play. That's a rep your peers are still not learning from. 3.8K views · 5 likes · 1 reposts · 1 replies Open on X →
The next decade won't be won by managers who work harder. It'll be won by the ones who built themselves a Chief of Staff first. 3.5 hour workshop April 29 to build yours. Works on Claude, ChatGPT, Gemini, Copilot. https://t.co/4NIb9BiQ9k RT tweet if useful. Follow @dklineii. 4.6K views · 29 likes · 2 reposts · 0 replies Open on X →
3. It compounds every rep you take. Most managers forget 90% of what they learn. Your AI Chief of Staff remembers to build on top of what it already knows. Every 1:1 becomes a pattern. Last week's memo sharpens this week's. Decisions update the playbook. Its how some leaders 3.5K views · 7 likes · 1 reposts · 1 replies Open on X →
2. It reads what you can't and catches what you miss. You can't read every Slack, dashboard, earnings call, customer survey. Your AI Chief of Staff can. It connects the slow product ship last quarter to the churn in your top account. Patterns you'd never catch in real time. 4.2K views · 6 likes · 1 reposts · 1 replies Open on X →
Example: Monday morning it flags: "Your 3 best reps mentioned pricing friction in their last 1:1. Customer survey scores dropped on value. Two competitors cut prices last week." You didn't have time to read any of it. You walk into the ops meeting 2 steps ahead of the room. 3.9K views · 8 likes · 1 reposts · 1 replies Open on X →
1. It skips years of trial-and-error. Most managers learn by doing. 8 years of bad 1:1s to find a format. 40 memos to find your voice. Your AI Chief of Staff starts with proven playbooks on day one. EOS Rocks? SBI feedback? Amazon 6-pager? Your V1 is most managers' V10. 5.6K views · 16 likes · 1 reposts · 2 replies Open on X →
Example: Your head of sales is missing her quota. Instead of winging the coaching, you load Lencioni on commitment and Horowitz on wartime CEOs. 15 minutes later, you walk in with the right diagnosis, sharper questions, and a plan that used to take years to develop. 4.9K views · 13 likes · 2 reposts · 1 replies Open on X →
Senior execs have Chiefs of Staff. Founders have EAs. Partners have associates. Managers have nothing. That's why you're drowning. Last month I built myself one using Claude Cowork. Here are 3 ways an AI Chief of Staff changed how I lead: 64.7K views · 204 likes · 14 reposts · 13 replies Open on X →

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4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน5 004บัญชีนี้6 018ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %4.65%บัญชีนี้1.60%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.57%บัญชีนี้0.97%ค่ามัธยฐานของ 100K–1M
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 100K–1Mอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์5 0046 0180.83×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)4.65%1.60%2.91×
อัตราการมีส่วนร่วม0.57%0.97%0.59×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

64.7K15 Apr
4.9K
5.6K
3.9K
4.2K
3.5K
4.6K
3.8K
2.9K
12.4K16 Sep
4K
6K17 Sep
1.8K

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.36%15 Apr
0.33%
0.34%
0.26%
0.19%
0.26%
0.67%
0.18%
0.59%
0.21%16 Sep
1.14%
0.75%17 Sep
0.39%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.97%.

What the audience does

Likes30.7%400 in total
Reposts2.2%28 in total
Replies3.3%43 in total
Quotes0.2%2 in total
Bookmarks63.7%829 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.

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