The DATA Foundation

@datafdn · joined 16 Dec 2021

AI-native infrastructure for real-world data. Formerly known as Story.

552 102Followers

196Following

5 072Posts total

103.3KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views19 597this account6 139median for 100K–1M

Reach, %3.55%this account2.61%median for 100K–1M

Engagement, %0.59%this account1.39%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	19 597	6 139	3.19×
Reach (views ÷ followers)	3.55%	2.61%	1.36×
Engagement rate	0.59%	1.39%	0.42×

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

20.7K28 Jul

20.5K14 Aug

21.2K17 Aug

64818 Aug

17.7K26 Aug

19.6K28 Aug

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.81%28 Jul

0.12%14 Aug

0.59%17 Aug

0.46%

2.16%18 Aug

0.59%26 Aug

0.54%28 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.39%.

What the audience does

Likes63.7%367 in total

Reposts8.3%48 in total

Replies22.4%129 in total

Quotes1.9%11 in total

Bookmarks3.6%21 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

Physical AI is a data problem before it’s a deployment problem. It’s exactly the challenge Poseidon is built to address. 19.6K views · 74 likes · 8 reposts · 22 replies 28 Aug 2026 A cheat sheet for understanding Trace: ▸ Each Trace registration creates an auditable record ▸ Those records persist as data moves between parties ▸ It doesn't store underlying data ▸ The data is never public Think of it as a ledger for data. https://t.co/2MjdBP8hMK 17.7K views · 75 likes · 8 reposts · 21 replies 26 Aug 2026 @datafdn @BitkubOfficial 이승윤과 데이터 재단 쓰레기들은 바이백에 대해 분명히 답해라. 1. 바이백을 했는가? 2. 했다면 토큰수량과 가격은? 3. 현재 재단 지갑에 있는지 오픈해라. 4. 없다면 어떤 지갑으로 빼돌렸는지 아니면 매도했는지? 5. 공매도 세력과 결탁해서 물량을 자전/통정 거래했다면 형사고발 및 상폐 648 views · 11 likes · 0 reposts · 3 replies 18 Aug 2026 Full announcement ↓ https://t.co/NmXwDjLvP2 3K views · 12 likes · 1 reposts · 1 replies 17 Aug 2026 We've partnered with @BitkubOfficial to share resources on how verifiable AI data works. ➤ Bitkub Exchange: strategic access to one of the most active digital asset user bases in Asia. ➤ Bitkub Academy: educational hub for decentralized AI and data provenance courses. ➤ DATA 21.2K views · 69 likes · 13 reposts · 40 replies 17 Aug 2026 📂 Bitkub x @datafdn : Advancing AI Data Literacy in Thailand! . Bitkub Exchange collaborates with The DATA Foundation to deliver in-depth knowledge on Decentralized AI, Data Provenance, and On-chain Data Licensing—empowering Thais to stay ahead in the global tech landscape.💡 . ht 20.5K views · 16 likes · 4 reposts · 4 replies 14 Aug 2026 In today's AI landscape, every dataset must pass three critical questions: • Can you source it at scale? • Can you prove where it came from? • Can you trust its quality? DATA Network is built to answer all three. https://t.co/veJwBtM3Uz 20.7K views · 110 likes · 14 reposts · 38 replies 28 Jul 2026