TH

João Moura ✓

@joaomdmoura · San Francisco, California · joined 25 May 2009

Founder of @crewAIInc / prev @clearbit (acc by @hubspot) Open Source enthusiast | Creator of Machinery | Public Speaker | My views

23 466Followers

1 653Following

14 132Posts total

12KViews on collected posts

โพสต์ล่าสุด

João Moura ✓@joaomdmoura23 Sep

Our growth team mapped out 7 stages of using AI at work. Most people never get past the first one. https://t.co/H7OfjdOrFE

1.2K views · 22 likes · 5 reposts · 5 replies Open on X →

João Moura ✓@joaomdmoura19 Sep

If you haven;t use agent cloak yet you should! 3.5K views · 17 likes · 0 reposts · 3 replies Open on X →

João Moura ✓@joaomdmoura18 Sep

Every morning, an agent at CrewAI drops five bullets into Slack. If your team is new to agents, build this one first. It is a scheduled task. It checks HubSpot, the website and the last 24 hours of deal activity, then posts a five-bullet update. Nobody asks for it. All it does

995 views · 3 likes · 0 reposts · 5 replies Open on X →

João Moura ✓@joaomdmoura16 Sep

Some open source companies want you to stop using their open source. We built CrewAI so you never have to. There are broadly two playbooks here. One is the migration model. You start on the open source version, then you graduate off it onto the enterprise product. The open htt

0:37

1.6K views · 17 likes · 1 reposts · 3 replies Open on X →

João Moura ✓@joaomdmoura5 Sep

@joaomdmoura Massive release João! Having built custom agent orchestration for clients, seeing a dedicated visual studio for CrewAI is going to massively speed up deployment times. The gap between prototype and enterprise production just got a lot smaller. 9 views · 2 likes · 0 reposts · 1 replies Open on X →

João Moura ✓@joaomdmoura28 Jul

Still don't want to take it from me? Good. Try it yourself → https://t.co/k26dmnoXI8 677 views · 4 likes · 0 reposts · 0 replies Open on X →

João Moura ✓@joaomdmoura28 Jul

More than 65% of the Fortune 500 already build their agents this way. Crew Studio lets anyone build like them. https://t.co/qSoRjC7OYY

0:05

782 views · 5 likes · 0 reposts · 1 replies Open on X →

João Moura ✓@joaomdmoura28 Jul

RUN When it's ready, it ships to the same production environment your engineers already use. Nothing gets rebuilt to get there, and it holds up when you put real volume through it. https://t.co/MUJvO1WRV4

0:12

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

João Moura ✓@joaomdmoura28 Jul

OWN What you get is real, readable code that belongs to you. Your engineers can open it, change it, and run it wherever you want, on your infrastructure or ours, on any model. If you ever leave, you keep everything you built. https://t.co/jg2q5MqtbL

0:18

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

João Moura ✓@joaomdmoura28 Jul

BUILD You describe the agents you want and they're running in minutes, without waiting on engineering. Pull in whatever they need from 1,000+ connectors, and everything you build stays inside the security your IT team already runs. https://t.co/Qr8ZXCPFnx

0:12

820 views · 6 likes · 0 reposts · 1 replies Open on X →

João Moura ✓@joaomdmoura28 Jul

DISCOVER Which agents are even worth building? Studio looks at how your business runs and points you to AI agents that will actually pay off, based on 700K+ real deployments. You start with a real shortlist. https://t.co/uSZbcgZYEb

0:10

1.3K views · 8 likes · 0 reposts · 2 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

11 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม การเข้าถึงปกติสำหรับขนาดนี้ แต่การตอบสนองอ่อนกว่าส่วนใหญ่.

ยอดดูมัธยฐาน820บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %3.49%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.85%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	820	924	0.89×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	3.49%	3.62%	0.97×
อัตราการมีส่วนร่วม	0.85%	1.52%	0.56×

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

1.3K28 Jul

820

562

505

782

677

95 Sep

1.6K16 Sep

99518 Sep

3.5K19 Sep

1.2K23 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.78%28 Jul

0.85%

0.89%

0.99%

0.77%

0.59%

33.33%5 Sep

1.31%16 Sep

0.80%18 Sep

0.56%19 Sep

2.70%23 Sep

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

What the audience does

Likes59.4%92 in total

Reposts3.9%6 in total

Replies14.8%23 in total

Bookmarks21.9%34 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.

บัญชีที่คล้ายกัน