Aptos Labs

@AptosLabs · joined 17 Oct 2022

Accelerating the future on @Aptos. Committed to bringing decentralization to the masses.

152 118Followers

117Following

8 205Posts total

72KViews on collected posts

Postingan terbaru

Aptos Labs@AptosLabs3 Sep

Regulated custody is where institutional capital lives. @BitGo is connecting it to onchain markets. Eligible BitGo self-custody clients can now connect their BitGo MPC wallets to @DecibelTrade and trade from the Decibel interface. Decibel is built on @Aptos, incubated by Aptos 9K views · 185 likes · 21 reposts · 60 replies Open on X →

Aptos Labs@AptosLabs2 Sep

An AI agent trading onchain isn't hypothetical. It's live. @DecibelTrade's MCP server exposes 25 tools for an agent to place orders, manage positions, and settle on @Aptos. The rails are ready for whatever gets built on top. @AveryChing on @theindexshow. Watch the full clip 👇 10.2K views · 243 likes · 15 reposts · 64 replies Open on X →

Aptos Labs@AptosLabs1 Sep

Transparency published on a company's own server is a promise. Onchain, it's a record anyone can recheck later. @gamesdotgg's new gaming mystery boxes are built on @Aptos, where that record stands on its own. Not a claim about the data. The data itself. 12.3K views · 257 likes · 14 reposts · 73 replies Open on X →

Aptos Labs@AptosLabs31 Aug

AI agents, stablecoins, and the future of machine commerce. Aptos Labs' Co-Founder & CEO @AveryChing with @invezzportal on what agents need to transact — from identity and spending limits to a record no one can rewrite. How @Aptos is built for it all: https://t.co/4sRtV3Y7Gb ht 15.7K views · 225 likes · 14 reposts · 73 replies Open on X →

Aptos Labs@AptosLabs9 May

Building onchain, behind the scenes— The full stack for markets and machines. Welcome to @Aptos, accelerated by Aptos Labs. https://t.co/C5l1cgvg9v 24.9K views · 377 likes · 57 reposts · 174 replies Open on X →

Dibandingkan akun berukuran sama

4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil jauh melampaui audiensnya sendiri, dan audiens itu merespons.

Median tayangan11 236akun ini5 983median untuk 100K–1M

Jangkauan, %7.39%akun ini1.49%median untuk 100K–1M

Interaksi, %2.88%akun ini0.93%median untuk 100K–1M

Metrik	Akun ini	Median untuk 100K–1M	Rasio
Median tayangan per postingan	11 236	5 983	1.88×
Jangkauan (tayangan ÷ pengikut)	7.39%	1.49%	4.96×
Tingkat interaksi	2.88%	0.93%	3.10×

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

24.9K9 May

15.7K31 Aug

12.3K1 Sep

10.2K2 Sep

9K3 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.47%9 May

1.99%31 Aug

2.80%1 Sep

3.17%2 Sep

2.97%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes68.3%1 287 in total

Reposts6.4%121 in total

Replies23.6%444 in total

Quotes0.4%8 in total

Bookmarks1.3%24 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.