The DATA Foundation
@datafdn · joined 16 Dec 2021
AI-native infrastructure for real-world data. Formerly known as Story.
552 102Followers
196Following
5 076Posts total
685.6KViews on collected posts
Postingan terbaru
Mencari postingan baru…
81% of enterprises surveyed have delayed, scaled back or abandoned an AI initiative because of data permission and governance gaps.
93% encountered permission or governance issues within the AI lifecycle.
Valuable data ≠ sellable data
We're building Trace to close that gap. ht
17.8K views · 61 likes
· 7 reposts · 22 replies
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0:08
Physical AI is a data problem before it’s a deployment problem.
It’s exactly the challenge Poseidon is built to address.
20.6K views · 79 likes
· 9 reposts · 24 replies
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Physical AI has a data problem. To operate in the real world, models need to learn from human experience.
The scale of what that demands is increasingly clear:
↳ $7T potential humanoid market by 2050
↳ $11.9B → $49.8B AI training dataset market by 2031
↳ ~100K hours of https://
26.8K views · 112 likes
· 8 reposts · 39 replies
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GIF
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
18.2K views · 79 likes
· 10 reposts · 21 replies
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1:31
@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
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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
21.9K views · 71 likes
· 14 reposts · 40 replies
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📂 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
21.1K views · 17 likes
· 5 reposts · 4 replies
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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
21K views · 110 likes
· 15 reposts · 42 replies
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1 million live records and counting ↓
https://t.co/VAe4vKwVxO
3.6K views · 32 likes
· 1 reposts · 2 replies
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Introducing Trace.
Trace is our flagship, public audit and search platform where every asset permanently registered on DATA Network can be accessed.
AI Labs can search every human contributed photo or voice sample and drill into any individual record to see the full audit http
77K views · 241 likes
· 19 reposts · 42 replies
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1:31
@StoryProtocol Don't blame the IP coin price for plummeting. They created a Numo product, so they need to spend money, right? They need to fleece retail investors to make their money back, right? @storysylee
197 views · 3 likes
· 0 reposts · 0 replies
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@StoryProtocol So excited to be a part of building this! Unfortunately I can't participate, I don't know those languages (and i'm not trying it live in office hours again...) 😂
If you haven't already, complete your tasks at https://t.co/H5FsLzijy9 :)
3K views · 45 likes
· 3 reposts · 6 replies
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@StoryProtocol @psdnai @SPChinchali Expectations Vs reality?
Token unlocked reality is not transparent, they say that 21.6% from early backers&20% from core contributors will be delay by 6months from 2/13-6/13, but early backers has 9.85M unlocked, core contributors=9.12M, now I
147 views · 2 likes
· 0 reposts · 1 replies
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@StoryProtocol @zheng_yida @psdnai @SPChinchali that headshot tho
490 views · 7 likes
· 0 reposts · 1 replies
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The future of AI depends on quality training data.
Eco app @psdnai is building the marketplace for it.
Meet @SPChinchali ↓ https://t.co/QU0LLOpxpc
33K views · 256 likes
· 62 reposts · 75 replies
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1:34
Our five current ambassadors:
▸ Returning as our Ecosystem Representative, @InvestingDams continues to strengthen the bridge between Story and our broader ecosystem.
▸ Serving as a Developer Representative, @r_ladik translates technical progress into clear, community-friendly
21.5K views · 124 likes
· 13 reposts · 37 replies
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A growing ecosystem needs a strong community behind it.
Five ambassadors are ready, each in their own lane, spanning developer support, mentorship, and community coordination.
Meet them ↴ https://t.co/GxGjTNWtlR
22.5K views · 231 likes
· 52 reposts · 139 replies
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0:05
@StoryProtocol It’s a very understandable step considering market conditions and long-term sustainability
735 views · 14 likes
· 0 reposts · 0 replies
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@StoryProtocol Changing tokenomics does nothing for this shitcoin. Send it to zero. You should not exist whatsoever.
The sooner scams like this fade the healthier it is
328 views · 6 likes
· 0 reposts · 0 replies
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Dibandingkan akun berukuran sama
10 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil luas, tetapi sedikit penonton yang merespons.
Median tayangan19 389akun ini5 983median untuk 100K–1M
Jangkauan, %3.51%akun ini1.49%median untuk 100K–1M
Interaksi, %0.57%akun ini0.93%median untuk 100K–1M
| Metrik | Akun ini | Median untuk 100K–1M | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 19 389 | 5 983 | 3.24× |
| Jangkauan (tayangan ÷ pengikut) | 3.51% | 1.49% | 2.36× |
| Tingkat interaksi | 0.57% | 0.93% | 0.61× |
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
19730 Apr
77K25 Jun
3.6K
553
21K28 Jul
21.1K14 Aug
21.9K17 Aug
3K
64818 Aug
18.2K26 Aug
26.8K28 Aug
20.6K
17.8K3 Sep
16.7K8 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
1.52%30 Apr
0.41%25 Jun
0.97%
1.27%
0.82%28 Jul
0.13%14 Aug
0.58%17 Aug
0.46%
2.16%18 Aug
0.61%26 Aug
0.60%28 Aug
0.55%
0.52%3 Sep
0.48%8 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes59.1%2 460 in total
Reposts8.5%354 in total
Replies19.9%826 in total
Quotes9.4%391 in total
Bookmarks3.1%130 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.
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