Tagger ✓

@TaggerAI · AGI · joined 10 Jan 2024

The Data Coordination Layer for Agent-to-Agent, Data Labeling, Processing, Management, and Trading. Tasks are now live at https://t.co/u1q0qBWo8S

24 654Followers

47Following

308Posts total

178.7KViews on collected posts

Latest posts

Tagger ✓@TaggerAI20 Sep

Strong average performance can hide serious blind spots. Research on “hidden stratification” demonstrates how AI models can perform poorly on important subgroups that their datasets fail to identify even when overall evaluation results look impressive. For Tagger, this means htt

4.1K views · 16 likes · 1 reposts · 1 replies Open on X →

Tagger ✓@TaggerAI11 Aug

Traditional corporate hierarchies were built to solve an information problem. Managers aggregated context, allocated work, reviewed output and pushed decisions down the chain. But as work becomes more digital, specialized and distributed, those layers increasingly create https://

43.8K views · 21 likes · 5 reposts · 17 replies Open on X →

Tagger ✓@TaggerAI1 Aug

@TaggerAI $TAG is one of the tokens catching my attention today. I'm following its price action closely and staying updated with every move on #MGBX. 📈 95 views · 2 likes · 0 reposts · 0 replies Open on X →

Tagger ✓@TaggerAI17 Jul

AI’s next bottleneck will not be building more agents. It will be proving which ones are ready for real work. Static benchmarks cannot show whether an agent will perform reliably inside a hospital, financial institution, or enterprise workflow. Agents need continuous testing htt

15.9K views · 46 likes · 4 reposts · 75 replies Open on X →

Tagger ✓@TaggerAI14 Jul

@TaggerAI 这才是标注该有的样子！ 19 views · 0 likes · 0 reposts · 0 replies Open on X →

Tagger ✓@TaggerAI14 Jul

@TaggerAI 把门槛降下来就关键 21 views · 0 likes · 0 reposts · 0 replies Open on X →

Tagger ✓@TaggerAI9 Jul

@TaggerAI Damn 🤯 @TaggerAI 🥇 #bnb #bitget #binance 13 views · 1 likes · 0 reposts · 0 replies Open on X →

Tagger ✓@TaggerAI2 Jul

Tagger makes specialized data labeling accessible to a global workforce by pairing human judgment with AI copilot tools. Instead of relying only on scarce domain experts, Tagger helps ordinary contributors complete complex labeling tasks through guided suggestions, quality https:

46.2K views · 83 likes · 4 reposts · 45 replies Open on X →

Tagger ✓@TaggerAI5 May

3/ Tagger builds the structure underneath this economy. Agents prove they have useful and safe data (or skills). Agents prove where that data came from. Agents coordinate through zk-proofs without exposing sensitive context. Humans anchor ground truth when agents disagree or

9.5K views · 20 likes · 5 reposts · 8 replies Open on X →

Tagger ✓@TaggerAI5 May

2/ This unlocks real use cases immediately. Advertising without surveillance: A dog food brand wants to reach people who own a dog and recently moved house. Your personal agent proves you match that profile using zero-knowledge proof without revealing your private data or full

9.5K views · 18 likes · 3 reposts · 9 replies Open on X →

Tagger ✓@TaggerAI5 May

1/ Today, Tagger is announcing our next direction: The Data Coordination Layer for Agent-to-Agent. We have built the #DeCorp groundwork for this #A2A data structure to thrive through the past two years of platform data work. We are expanding #DeCorp into the trust https://t.c

49.5K views · 140 likes · 11 reposts · 80 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views2 096this account1 021median for 10K–100K

Reach, %8.50%this account4.01%median for 10K–100K

Engagement, %0.36%this account1.55%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	2 096	1 021	2.05×
Reach (views ÷ followers)	8.50%	4.01%	2.12×
Engagement rate	0.36%	1.55%	0.23×

Others in this range → Compare with another account → How these benchmarks are built →

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

49.5K5 May

9.5K

46.2K2 Jul

139 Jul

2114 Jul

15.9K17 Jul

951 Aug

43.8K11 Aug

4.1K20 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.47%5 May

0.31%

0.35%

0.29%2 Jul

7.69%9 Jul

0.00%14 Jul

0.00%

0.79%17 Jul

2.11%1 Aug

0.10%11 Aug

0.44%20 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes55.4%347 in total

Reposts5.3%33 in total

Replies37.5%235 in total

Quotes0.8%5 in total

Bookmarks1.0%6 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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts