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TH

Cristina Cordova ✓

@cjc · San Francisco, CA · joined 27 Mar 2009

COO at @linear. previously building at @stripe, @NotionHQ & @firstround. angel investor to ~80 early-stage startups

37 598Followers
970Following
4 239Posts total
96.3KViews on collected posts

โพสต์ล่าสุด

@cjc @daniel_levine He front-rowed Alumni Day like a boss! 2.1K views · 7 likes · 0 reposts · 1 replies Open on X →
@cjc @daniel_levine "involuntary LP" is so real 910 views · 6 likes · 0 reposts · 0 replies Open on X →
@cjc @daniel_levine Marriage is one large blind pool 1.8K views · 10 likes · 0 reposts · 0 replies Open on X →
Now that @daniel_levine is deploying personal capital into startups, he’s just live-texting me every check he cuts at YC alumni demo day. Very lean fund structure. One GP, one involuntary LP. 34K views · 253 likes · 0 reposts · 14 replies Open on X →
Looking forward to joining some great product, ops and marketing leaders to discuss how to make your brand inevitable on Oct 7th. For Linear, it's meant becoming the default choice for every new company and the eventual destination for everyone else. 5.1K views · 35 likes · 2 reposts · 4 replies Open on X →
Join us for an SF Techweek fireside chat hosted by Warp and @linear with a few of our favorite leaders on what it means and feels like to build an inevitable brand. Speaker list: - Ben Shen (Product Lead @ Coinbase) - Cristina Cordova (COO @ Linear) - Gaby Garcia (COO @ Warp) -
7.3K views · 20 likes · 6 reposts · 2 replies Open on X →
It’s one of those rare 48 hour periods where you don’t need to bring a jacket with you in San Francisco. https://t.co/DPbzkxN6vf
2.9K views · 47 likes · 0 reposts · 8 replies Open on X →
I was right about Big Almond. I just didn’t realize the exchange rate was 38,000 prompts to one nut. 10.5K views · 110 likes · 6 reposts · 12 replies Open on X →
Our latest AI breakthrough: teaching agents when to stop talking. 11.5K views · 86 likes · 1 reposts · 3 replies Open on X →
Big Almond has been doing this the whole time and we’ve been out here worried about data centers. Unbelievable. https://t.co/Eb5XM3zxx5
20.1K views · 210 likes · 18 reposts · 17 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

9 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน5 143บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %13.68%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.79%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์5 1439245.57×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)13.68%3.62%3.78×
อัตราการมีส่วนร่วม0.79%1.52%0.52×

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

20.1K20 May
11.5K1 Sep
10.5K3 Sep
2.9K8 Sep
7.3K
5.1K
34K9 Sep
1.8K
910
2.1K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.25%20 May
0.80%1 Sep
1.22%3 Sep
1.88%8 Sep
0.44%
0.80%
0.79%9 Sep
0.55%
0.66%
0.42%

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

What the audience does

Likes80.8%784 in total
Reposts3.4%33 in total
Replies6.3%61 in total
Quotes1.4%14 in total
Bookmarks8.0%78 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