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Codatta

@codatta_io · Onchain · joined 21 Oct 2023

AI’s Knowledge Layer turns human knowledge into on-chain assets with royalties. 1st @Binance Booster.

198 747Followers
188Following
2 295Posts total
57.3KViews on collected posts

โพสต์ล่าสุด

Official Notice The GitHub account [https://t.co/WQYEf9VJTt] is impersonating our legacy brand. It is not affiliated with or authorized by us, and the token it promotes has nothing to do with our team. We remain fully committed to $XNY and have no plans to issue a new token.
4.1K views · 8 likes · 2 reposts · 3 replies Open on X →
@codatta_io Noted Sir thank you for sharing 11 views · 0 likes · 0 reposts · 0 replies Open on X →
@codatta_io Did you launch this? 0xb0378e40ebb3cceb75e0e843abb89724b2f356d4 169 views · 2 likes · 0 reposts · 2 replies Open on X →
@codatta_io Stay safe guys 115 views · 0 likes · 0 reposts · 0 replies Open on X →
@codatta_io Good move to make this crystal clear. Security notices like this can prevent a lot of community members from falling for scams. 🔒 158 views · 0 likes · 0 reposts · 0 replies Open on X →
Official Notice: Codatta Discord Server Has Been Discontinued Effective August 6, 2026, the Codatta Discord server is no longer an official Codatta channel and is no longer maintained by our team. Please treat everything in that server as untrusted. Any announcement, link, http
8.7K views · 18 likes · 1 reposts · 5 replies Open on X →
Robotics Knowledge Quiz #06 Why is teleoperated human demonstration data so valuable for training robot manipulation? A. It's cheaper to collect than simulation B. It captures the timing and force of how humans correct a grasp mid-task C. It removes the need for any labeling D. 5.4K views · 10 likes · 0 reposts · 5 replies Open on X →
AI generalizes well. It specializes poorly — until you give it the right human knowledge. Codatta contributors improve AI across four layers: → Fine-Tuning: real-world examples that teach models to think like specialists → RAG: verified data that keeps AI grounded instead of htt
4.1K views · 11 likes · 1 reposts · 2 replies Open on X →
@codatta_io 在线等,秒回 25 views · 0 likes · 0 reposts · 0 replies Open on X →
@codatta_io something big soon 237 views · 1 likes · 0 reposts · 1 replies Open on X →
https://t.co/OGhUKkfwat 34.3K views · 91 likes · 11 reposts · 25 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

9 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน169บัญชีนี้4 148ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %0.09%บัญชีนี้1.62%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.28%บัญชีนี้1.34%ค่ามัธยฐานของ 100K–1M
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 100K–1Mอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์1694 1480.04×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)0.09%1.62%0.05×
อัตราการมีส่วนร่วม0.28%1.34%0.21×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

34.3K31 Dec
237
2525 Jun
4.1K13 Jul
5.4K20 Jul
8.7K6 Aug
15813 Aug
11515 Aug
1692 Sep
11
4.1K

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

0.38%31 Dec
0.84%
0.00%25 Jun
0.34%13 Jul
0.28%20 Jul
0.29%6 Aug
0.00%13 Aug
0.00%15 Aug
2.37%2 Sep
0.00%
0.32%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.34%.

What the audience does

Likes64.7%141 in total
Reposts6.9%15 in total
Replies19.7%43 in total
Quotes2.3%5 in total
Bookmarks6.4%14 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.

บัญชีที่คล้ายกัน