Pekka Enberg ✓

@penberg · Espoo, Finland 🇫🇮🇪🇺 · joined 03 Jan 2010

Founder & CTO @tursodatabase; previously @ScyllaDB and Linux kernel. Author of "Latency" (https://t.co/XWRFq71WaJ).

20 159Followers

1 235Following

10 990Posts total

66.7KViews on collected posts

Son gönderiler

Pekka Enberg ✓@penberg5 Sep

What are the best books on formal verification I should read? Asking for a friend… 15.6K views · 151 likes · 10 reposts · 11 replies Open on X →

Pekka Enberg ✓@penberg4 Sep

@penberg @TigerBeetleDB Terrible protocol that shamelessly copied raft 1.5K views · 8 likes · 0 reposts · 3 replies Open on X →

Pekka Enberg ✓@penberg4 Sep

@penberg Also having fun the same way, but for me it’s paxos 🙃 https://t.co/UkCpggaLZv 314 views · 8 likes · 0 reposts · 0 replies Open on X →

Pekka Enberg ✓@penberg4 Sep

@penberg You might find Veil useful! https://t.co/WVy4KlwGED 841 views · 5 likes · 0 reposts · 2 replies Open on X →

Pekka Enberg ✓@penberg4 Sep

Went back and finished my Viewstamped Replication implementation in Rust. Protocol only, I/O is provided by the caller. Verified with a TigerBeetle-style simulator. Now thinking about doing some verification with Lean... https://t.co/uOF8muZNTa 29.6K views · 251 likes · 32 reposts · 13 replies Open on X →

Pekka Enberg ✓@penberg1 Sep

I love @mitchellh's approach to performance engineering. Make it fast on the low end, and you have something amazing on the high end. 7.5K views · 130 likes · 5 reposts · 5 replies Open on X →

Pekka Enberg ✓@penberg31 Aug

This arrived today! Hopefully I will learn how to make my language model training faster https://t.co/fypFX7YFPb 4K views · 78 likes · 4 reposts · 4 replies Open on X →

Pekka Enberg ✓@penberg29 Aug

You think you know something about latency and databases... But then you spend half a day digging into bad transaction tail-latency, only to rediscover what you should already know: consumer-grade NVMe drives are pretty terrible if you push them hard enough. 🙈 7.4K views · 118 likes · 1 reposts · 7 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 8 gönderi, 10K–100K takipçi aralığıyla yan yana. aynı büyüklükteki hesaplardan daha çok kişiye gösteriliyor.

Medyan görüntülenme5 688bu hesap92410K–100K için medyan

Erişim, %28.21%bu hesap3.62%10K–100K için medyan

Etkileşim, %1.41%bu hesap1.52%10K–100K için medyan

Ölçüt	Bu hesap	10K–100K için medyan	Oran
Gönderi başına medyan görüntülenme	5 688	924	6.16×
Erişim (görüntülenme ÷ takipçi)	28.21%	3.62%	7.79×
Etkileşim oranı	1.41%	1.52%	0.93×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

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

7.4K29 Aug

4K31 Aug

7.5K1 Sep

29.6K4 Sep

841

314

1.5K

15.6K5 Sep

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

1.71%29 Aug

2.14%31 Aug

1.87%1 Sep

1.01%4 Sep

0.83%

2.55%

0.74%

1.11%5 Sep

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

What the audience does

Likes60.1%749 in total

Reposts4.2%52 in total

Replies3.6%45 in total

Quotes0.2%3 in total

Bookmarks31.9%397 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.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Benzer hesaplar