tweetindex
TR

Alexander Spiegelman ✓

@SashaSpiegelman · joined 18 Jan 2022

Head of Research @aptoslabs. Co-creator of BlockSTM, Narwhal, Bullshark. Spicy tweets are my own. Teach your kids to ski, they will never have money for drugs.

39 668Followers
300Following
1 755Posts total
206KViews on collected posts

Son gönderiler

Happy to share that after being deployed and successfully running in production, significantly reducing latency, the Raptr paper was accepted to EuroSys ’27! EuroSys is a top-tier systems conference - proud to see Aptos Research continue leading the way in blockchain 3.6K views · 47 likes · 8 reposts · 7 replies Open on X →
One year ago, we started building Shelby because we believed decentralized AI is essential to the future of freedom. Today, we’re more convinced than ever. Live soon. #ShelbyServes 1.1K views · 21 likes · 3 reposts · 7 replies Open on X →
In the meantime, on Aptos... 1.6K views · 20 likes · 20 reposts · 1 replies Open on X →
They tried so hard for 3 years. And now we can all finally agree: Sui is the new Solana. 1.9K views · 19 likes · 1 reposts · 7 replies Open on X →
You may have seen Aptos’ latency numbers: <30ms block time ~250ms client E2E latency in Europe ~300ms in the US ~400ms in Asia Those are median / P50 numbers. We’ve now optimized the network further: even the slowest 1% of transactions see ~3x lower E2E latency, with fewer http
8.6K views · 55 likes · 23 reposts · 5 replies Open on X →
https://t.co/e0SgB7S71b 68.2K views · 172 likes · 43 reposts · 23 replies Open on X →
@SashaSpiegelman SBF came back as a chad 1.2K views · 11 likes · 1 reposts · 0 replies Open on X →
@SashaSpiegelman rAPTr 👀 1.4K views · 13 likes · 1 reposts · 0 replies Open on X →
@SashaSpiegelman is there paper about raptr ? 2K views · 4 likes · 0 reposts · 1 replies Open on X →
The end game of consensus is here! Today, I am excited to announce Raptr, the ultimate BFT protocol. With all the experience we developed over the years, building DAG BFT systems, Raptr combines the main DAG techniques to unlock high TP while presorving our optimal theoretical
116.6K views · 337 likes · 53 reposts · 37 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 1 gönderi, 10K–100K takipçi aralığıyla yan yana. aynı büyüklükteki hesaplardan daha çok kişiye gösteriliyor.

Medyan görüntülenme3 566bu hesap92410K–100K için medyan
Erişim, %8.99%bu hesap3.62%10K–100K için medyan
Etkileşim, %1.74%bu hesap1.52%10K–100K için medyan
ÖlçütBu hesap10K–100K için medyanOran
Gönderi başına medyan görüntülenme3 5669243.86×
Erişim (görüntülenme ÷ takipçi)8.99%3.62%2.48×
Etkileşim oranı1.74%1.52%1.14×

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

116.6K5 Sep
2K
1.4K
1.2K
68.2K15 Oct
8.6K28 May
1.9K30 May
1.6K
1.1K13 Jun
3.6K21 Aug

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

0.39%5 Sep
0.25%
1.11%
1.01%
0.39%15 Oct
1.00%28 May
1.42%30 May
2.56%
2.89%13 Jun
1.74%21 Aug

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

What the audience does

Likes62.5%699 in total
Reposts13.7%153 in total
Replies7.9%88 in total
Quotes5.5%61 in total
Bookmarks10.5%118 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.

Benzer hesaplar