Cuy Sheffield ✓

@cuysheffield · San Francisco · joined 15 Jul 2011

Head of Visa Crypto Labs. Views are my own

38 459Followers

13 714Following

4 147Posts total

151KViews on collected posts

Postingan terbaru

Cuy Sheffield ✓@cuysheffield8 Sep

Great to speak with @TaliaKaplan about the opportunity we see to connect Visa settlement data to onchain credit facilities to help scale stablecoin-linked card financing. https://t.co/7peKk3s4OA 2.9K views · 54 likes · 6 reposts · 13 replies Open on X →

Cuy Sheffield ✓@cuysheffield8 Sep

Excited to share more about the work we have been doing with @raincards and @creditcoop_xyz to enable onchain credit facilities for stablecoin-linked card issuers 12.2K views · 133 likes · 15 reposts · 10 replies Open on X →

Cuy Sheffield ✓@cuysheffield8 Sep

https://t.co/mTOyDzgmmQ 37.9K views · 131 likes · 7 reposts · 13 replies Open on X →

Cuy Sheffield ✓@cuysheffield2 Sep

This is super interesting. Instinct isn't currently enabled to make outbound calls as a default tool. But it supports 3rd party wallet MCPs like Agent Cash that can then enable a $0.54 stablecoin micropayment to an endpoint that it can then use to make a call. 23.6K views · 114 likes · 7 reposts · 23 replies Open on X →

Cuy Sheffield ✓@cuysheffield2 Sep

Excited for Visa to partner with Anthropic as they launch commerce blueprints to enable merchants to build and run agents on Claude. Huge opportunity for next generation agent-operated merchants and excited to see what people build with it https://t.co/P8p3fjx7qz 13.3K views · 171 likes · 15 reposts · 18 replies Open on X →

Cuy Sheffield ✓@cuysheffield2 Sep

This was INSANE - AI just negotiated my flight price for me I asked Instinct to track my flight prices post purchase so it could hit up the airline for a flight credit for the difference in price It tracked the price but couldn't submit the request, so I hit up @agentcashdev to

32.6K views · 89 likes · 2 reposts · 9 replies Open on X →

Cuy Sheffield ✓@cuysheffield1 Sep

This is fascinating and a must-read for anyone interested in the future of autonomous commerce. A few things that stood out: The first products that the agent built were targeting human customers but never got any traction. What ended up working (at a very small scale) was 12.5K views · 92 likes · 5 reposts · 16 replies Open on X →

Cuy Sheffield ✓@cuysheffield24 Aug

Great framework. Excited to see more models in the 2nd category 5.1K views · 28 likes · 1 reposts · 9 replies Open on X →

Cuy Sheffield ✓@cuysheffield20 Aug

Love to see the next generation of “infinite backroom” experiments with agent group chats 3.9K views · 24 likes · 0 reposts · 7 replies Open on X →

Cuy Sheffield ✓@cuysheffield20 Aug

i added 32 iMessage agents to a group chat and it blew up my phone... 3,457 messages in 2 hours, 10 minutes. @budapp sent 1,754 messages. 1,751 of them were the same “not accepting new signups” link. @AsmiAI sent 1,202 messages. it kept summarizing Bud’s link, asked who https: 7K views · 25 likes · 2 reposts · 8 replies Open on X →

Dibandingkan akun berukuran sama

10 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan12 354akun ini924median untuk 10K–100K

Jangkauan, %32.12%akun ini3.62%median untuk 10K–100K

Interaksi, %0.76%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	12 354	924	13.4×
Jangkauan (tayangan ÷ pengikut)	32.12%	3.62%	8.87×
Tingkat interaksi	0.76%	1.52%	0.50×

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

7K20 Aug

3.9K

5.1K24 Aug

12.5K1 Sep

32.6K2 Sep

13.3K

23.6K

37.9K8 Sep

12.2K

2.9K

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

0.53%20 Aug

0.79%

0.74%24 Aug

0.94%1 Sep

0.32%2 Sep

1.58%

0.63%

0.40%8 Sep

1.29%

2.55%

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

What the audience does

Likes54.6%861 in total

Reposts3.8%60 in total

Replies8.0%126 in total

Quotes1.3%21 in total

Bookmarks32.3%509 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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