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Michael Bloch ✓

@michaelxbloch · New York, NY · joined 29 Apr 2014

Partner @QuietCapital. Previously founded Pillar (acquired by @Acorns) + early @DoorDash. Tweets about startups, tech, AI, and investing.

12 061Followers
3 672Following
1 659Posts total
772.2KViews on collected posts

โพสต์ล่าสุด

No one alive has done more for human productivity than @elonmusk. Right now I'm sitting in my Tesla. I haven't touched the wheel since I got in. FSD is driving me home. I'm having a voice discussion with Grok about quantum tech as it drives me. It’s seamless and near zero 4.3K views · 72 likes · 2 reposts · 4 replies Open on X →
Disagree with Auren here. Moats are alive and well. There are just fewer moats than before. These are the ones that matter in this new age https://t.co/WFMPQ95Z3J 6.9K views · 26 likes · 0 reposts · 3 replies Open on X →
The AI Talent Paradox: AI was supposed to replace talent. Instead, it has made talent scarcer 2.3K views · 17 likes · 0 reposts · 3 replies Open on X →
It’s ironic that in this post AI world, when I talk to any early stage founder and ask them what the bottleneck is in their business, the response nearly 100% of the time is great people. 29.4K views · 156 likes · 5 reposts · 30 replies Open on X →
Huge congrats to Taalas on joining AMD!! @taalas_inc built silicon around the model to make AI inference dramatically faster, cheaper, and more efficient. Bringing that approach inside AMD will be a massive unlock for the next era of AI compute. Proud that @QuietCapital has 9.7K views · 49 likes · 0 reposts · 6 replies Open on X →
@michaelxbloch agree, great post and points. I do also wonder if reputation/brand is a moat - as it cannot be built/rushed with AI. 5.1K views · 19 likes · 0 reposts · 3 replies Open on X →
TLDR: AI is about to make everything that's hard to do easy. The only defensible companies will be the ones built on things that are hard to get. I think every durable company will need at least one of these five characteristics: - network effects (every user makes it better for 14.8K views · 115 likes · 10 reposts · 10 replies Open on X →
https://t.co/Sbr574u8fu 699.8K views · 1.6K likes · 165 reposts · 90 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

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

ยอดดูมัธยฐาน5 588บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %46.33%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.77%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์5 5889246.05×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)46.33%3.62%12.8×
อัตราการมีส่วนร่วม0.77%1.52%0.50×

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

699.8K30 Mar
14.8K31 Mar
5.1K
9.7K6 Aug
29.4K18 Aug
2.3K
6.9K30 Aug
4.3K31 Aug

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.27%30 Mar
0.93%31 Mar
0.43%
0.57%6 Aug
0.67%18 Aug
0.86%
0.42%30 Aug
1.83%31 Aug

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

What the audience does

Likes27.5%2 011 in total
Reposts2.5%182 in total
Replies2.0%149 in total
Quotes1.5%111 in total
Bookmarks66.5%4 859 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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