MoversSomeguy↓416Afi↓374Grethos↓351aadvark↓277Abhi | AP Collective @ Token 2049 🇸🇬↓271TradeSk0rp.eth↑48.8%Brandon scott↑1.0%vitalik.eth↑1.7%Ethos↑1.0%VouchesSyrup69 WHUF → OSFDpuck (bob)30 WHUF → KingPickle 🪑Dpuck (bob)25 WHUF → osamafaheemm🤝Samorityanin🧢20 WHUF → 一川drive 🔴Reviews一川drive 🔴positive · 72 upvotesMark Karpelèspositive · 53 upvotesaiobkhan ✨positive · 46 upvotesCryptoPasokospositive · 22 upvotes
Profile· Known@datafdnOn Ethos
The DATA Foundation

The DATA Foundation

207 reviews, 45% of them positive.45% positive · 207 reviews· Influence factor 128, above 25% of accounts

The record

From 163 activities · Jun 2026

Story Protocol (now The DATA Foundation) pioneered on-chain intellectual property with programmable licensing and creator monetization, attracting genuine interest for tokenizing creative works and enabling automated royalties. However, the project faces persistent skepticism: the CEO departed shortly after the token's six-month cliff and TGE, the chain generates minimal revenue ($30–$45 daily), and community members report poor airdrop fairness, favoritism in reward distribution, and lack of real creator adoption. The recent rebrand to focus on AI training data infrastructure is viewed by some as a narrative reset rather than fundamental innovation, while early backers and VCs control over 65% of token supply, fueling concerns about extraction and exit liquidity over sustainable ecosystem building.

“IP project”This is a crypto/blockchain project rebranded/transitioned from Story Protocol (or closely tied to it) into The DATA Foundation. It builds infrastructure for AI training data provenance, licensing, auditing, and monetization — specifically addressing the "data bottleneck" for AI models, especially real-world, human-contributed, and multimodal data (photos, voice, etc.).Key elements: Onchain registry for data assets (IP-like treatment for training data). Trace — their flagship public audit/search platform (trace.datafdn.org) showing provenance, consent, payments, and audit trails for datasets. Partnerships with data marketplaces like Kled (largest opt-in human data marketplace, now integrating ~1.5B user records, with fraud detection and audit rails on DATA Network). Real-world integrations, e.g., with Toss (major Korean fintech, 30M+ users) via Poseidon for user-contributed data. @datafdn Recent Activity (as of late June 2026)The account is active and promotional. Recent posts highlight:Launches and partnerships (e.g., Kled moving audit systems onto their network; founder Avi Patel joining as advisor/Chief Data Officer). Spaces/events discussing their vision. Emphasis on trust/safety in data (consent, originality verification, auditability for AI labs). Media: Videos demoing Trace, announcements with visuals. @datafdn Tone is professional, forward-looking, and ecosystem-building — typical of Web3/AI infrastructure projects. They position themselves as the "trust layer" for AI training data.StrengthsTimely thesis: Data quality, provenance, and licensing are huge pain points for AI labs. Solving consent, fraud, and auditability is genuinely valuable. Strong growth signals: High follower count, partnerships with real user bases (Toss), integrations with marketplaces, and backing mentions (a16z crypto, Polychain, etc.). Transparent/public tools like Trace could differentiate them. ConsiderationsIt's a crypto-native project (onchain registration, stablecoin payouts, IP/token elements). Success depends on adoption by AI labs, regulatory handling of data/privacy, and execution against competition in the data-for-AI space. Content is heavily announcement-driven and partnership-focused.DareNotDoubt · 1242· 4mo ago0
‹ Back192 of 207 · most upvoted firstMore ›