avery.apt 🇺🇸 ✓

@AveryChing · joined 13 Jul 2011

Co-founder & CEO @AptosLabs. Building the global trading engine & decentralized cloud. Ex @Meta Libra/Diem crypto techlead. Supercomputing PhD. @CFTC GMAC sub

66 660Followers

2 454Following

9 965Posts total

162.3KViews on collected posts

Postingan terbaru

avery.apt 🇺🇸 ✓@AveryChing3 Sep

Very excited to trade with our friends at @BitGo! 1.3K views · 24 likes · 2 reposts · 5 replies Open on X →

avery.apt 🇺🇸 ✓@AveryChing3 Sep

Institutional-grade trading with @BitGo through @DecibelTrade and @Aptos! 1.9K views · 53 likes · 10 reposts · 5 replies Open on X →

avery.apt 🇺🇸 ✓@AveryChing3 Sep

Harnesses and orchestration of AI agents is the new frontier. The AI model Pareto curve for 10's of agents to meaningfully change each of our lives is here. Now we need the next-generation infrastructure to make it happen. @Aptos is AI infra. 2.8K views · 43 likes · 13 reposts · 10 replies Open on X →

avery.apt 🇺🇸 ✓@AveryChing2 Sep

Integrating today. Likely to be my new favorite coding model. 3K views · 36 likes · 2 reposts · 3 replies Open on X →

avery.apt 🇺🇸 ✓@AveryChing5 Aug 2025

@AveryChing So this hints at a (significant?) reduction in latency too, right? https://t.co/giIvSxrTKm 856 views · 11 likes · 0 reposts · 2 replies Open on X →

avery.apt 🇺🇸 ✓@AveryChing5 Aug 2025

@AveryChing Please help me to understand, is Decibel a tool for devs to build their apps or is it a competitor for all dex, perps exchanges within the Aptos eco? 733 views · 5 likes · 0 reposts · 2 replies Open on X →

avery.apt 🇺🇸 ✓@AveryChing5 Aug 2025

@AveryChing That was very fast article sir, I read the docs already but can I ask If Decibel unifies x-chain trading without bridges, how does it handle latency gaps, MEV risks, and oracle sync issues across chains, while preserving Move's composability on Aptos? 576 views · 6 likes · 0 reposts · 1 replies Open on X →

avery.apt 🇺🇸 ✓@AveryChing5 Aug 2025

https://t.co/JnFLKWanGl 150.9K views · 566 likes · 97 reposts · 96 replies Open on X →

Dibandingkan akun berukuran sama

4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. jangkauan biasa untuk ukurannya, reaksi lebih kuat dari kebanyakan.

Median tayangan2 392akun ini924median untuk 10K–100K

Jangkauan, %3.59%akun ini3.62%median untuk 10K–100K

Interaksi, %2.31%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	2 392	924	2.59×
Jangkauan (tayangan ÷ pengikut)	3.59%	3.62%	0.99×
Tingkat interaksi	2.31%	1.52%	1.52×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

150.9K5 Aug

576

733

856

3K2 Sep

2.8K3 Sep

1.9K

1.3K

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

0.53%5 Aug

1.22%

0.95%

1.52%

1.35%2 Sep

2.32%3 Sep

3.51%

2.31%

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

What the audience does

Likes68.6%744 in total

Reposts11.4%124 in total

Replies11.4%124 in total

Quotes3.3%36 in total

Bookmarks5.3%57 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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