Tabi 💢

@TabiVibe · Tabi · joined 24 Jan 2021

The Modular Layer for Consumer AI. Backed by @animocabrands & @YZilabs

1 376 008Followers

261Following

2 724Posts total

1.4MViews on collected posts

Neueste Beiträge

Tabi 💢@TabiVibe24 Sep

Giving agents more power isn't the goal. Giving users control over that power is. That's the idea behind Mandated Execution: Define the rules first. Then let agents execute within them. Tabi has been advancing ERC-8192 toward an execution layer that agents, apps and wallet h

13.5K views · 37 likes · 8 reposts · 18 replies Open on X →

Tabi 💢@TabiVibe23 Sep

Another year of KBW. 6 days until we meet in Seoul. 28.6K views · 39 likes · 7 reposts · 18 replies Open on X →

Tabi 💢@TabiVibe22 Sep

When the last KBW session ends, where are you taking the group for drinks? From rooftop cocktails in Itaewon to hidden bars in Gangnam, our Seoul bar guide helps you find the right spot for a quiet conversation or a night that runs late. Read the full guide below ⬇️ 24.6K views · 5 likes · 1 reposts · 1 replies Open on X →

Tabi 💢@TabiVibe22 Sep

More capable agents create a new infrastructure problem: Capability ≠ Permission. An agent being able to do something doesn't mean it should be allowed to do it. The future of Consumer AI needs: → explicit permissions → bounded execution → auditable actions → verifiable https

15.9K views · 55 likes · 9 reposts · 23 replies Open on X →

Tabi 💢@TabiVibe21 Sep

→ Reduced redundant runtime logs → Improved service startup status feedback → Clearer visibility into node behavior Tested. Shipped. Less noise. More signal. Keep building. https://t.co/ZZfVZxkflc

24.8K views · 64 likes · 13 reposts · 34 replies Open on X →

Tabi 💢@TabiVibe20 Sep

The agent economy is moving past: “Can an AI make a payment?” The harder questions are now: Who is the agent? Who authorized it? What can it spend? What can it execute? When does that permission expire? Identity + permissions will become core infrastructure for Consumer AI. 24.3K views · 51 likes · 7 reposts · 24 replies Open on X →

Tabi 💢@TabiVibe18 Sep

AI Agent: “I found the best deal.” Also AI Agent: “Can I spend $47,382?” Permission layer: Absolutely not. This is why agents need rules before they need wallets. https://t.co/xUJfptqHJh

13.4K views · 46 likes · 11 reposts · 24 replies Open on X →

Tabi 💢@TabiVibe17 Sep

AI already knows what you want. The next frontier is whether it can actually do it. Discover. Decide. Pay. Execute. Settle. All within the boundaries you define. Consumer AI needs more than intelligence. It needs an execution layer. https://t.co/CnAw87Ng46

16.7K views · 50 likes · 9 reposts · 22 replies Open on X →

Tabi 💢@TabiVibe16 Sep

CLARITY Act: 50-49 Me：👇👇👇 https://t.co/stsSR7YfOy

17.6K views · 43 likes · 9 reposts · 18 replies Open on X →

Tabi 💢@TabiVibe14 Sep

Pacing the frontier is about how fast models improve. A separate question is how much an agent is allowed to do once it can act. 26.6K views · 54 likes · 7 reposts · 21 replies Open on X →

Tabi 💢@TabiVibe10 Sep

Go build! 30.7K views · 58 likes · 9 reposts · 22 replies Open on X →

Tabi 💢@TabiVibe8 Sep

Astra is fully rolled out to Plus, Pro, Business, and Enterprise users in Codex and ChatGPT Work. Go build! And if you need inspiration, watch Astra in action, live: https://t.co/VmBLksCNZW 1.1M views · 9.5K likes · 497 reposts · 567 replies Open on X →

Tabi 💢@TabiVibe8 Sep

Anyone else still staring at the charts this morning? https://t.co/y59I3tYXdM

21.2K views · 77 likes · 17 reposts · 42 replies Open on X →

Tabi 💢@TabiVibe6 May

1/6 Tabi: the Modular Layer for Consumer AI. It is the composable, onchain-native infrastructure for the next generation of AI Agents. https://t.co/2ogihhe7cl

43.5K views · 227 likes · 260 reposts · 103 replies Open on X →

Im Vergleich zu Konten gleicher Größe

13 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 1M–10M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe24 282dieses Konto17 339Median für 1M–10M

Reichweite, %1.76%dieses Konto0.86%Median für 1M–10M

Interaktion, %0.46%dieses Konto0.73%Median für 1M–10M

Kennzahl	Dieses Konto	Median für 1M–10M	Verhältnis
Medianaufrufe pro Beitrag	24 282	17 339	1.40×
Reichweite (Aufrufe ÷ Follower)	1.76%	0.86%	2.05×
Interaktionsrate	0.46%	0.73%	0.62×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

43.5K6 May

21.2K8 Sep

1.1M

30.7K10 Sep

26.6K14 Sep

17.6K16 Sep

16.7K17 Sep

13.4K18 Sep

24.3K20 Sep

24.8K21 Sep

15.9K22 Sep

24.6K

28.6K23 Sep

13.5K24 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.38%6 May

0.65%8 Sep

1.01%

0.29%10 Sep

0.31%14 Sep

0.40%16 Sep

0.48%17 Sep

0.61%18 Sep

0.34%20 Sep

0.46%21 Sep

0.55%22 Sep

0.03%

0.23%23 Sep

0.48%24 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.73%.

What the audience does

Likes74.7%10 348 in total

Reposts6.2%864 in total

Replies6.8%937 in total

Quotes1.2%166 in total

Bookmarks11.1%1 533 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

16 Sep19 Sep22 Sep

Daily snapshots since 16 Sep 2026; the dashed line is the starting count.