$LEDGER Catalyst Posts
June 25, 2025Single-day social intelligence recap and verified catalyst posts · ← Back to $LEDGER Profile · Market Rankings
💬 Curated Viral Posts & Community Evidence
8 source posts analyzed· 2025-06-25T02:51:00+00:00【OpenLedger 的资本故事：从 Polychain 到 OpenCircle 的战略布局】 一、融资概况：谁在支持 OpenLedger？ 2024年第四季度，OpenLedger 宣布完成种子轮融资，融资金额为 800万美元。本轮投资方阵容中最引人瞩目的，是老牌加密基金 Polychain Capital，此外还包括 Hash3 Capital 与 Haskey Capital
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· 2025-06-25T01:49:42+00:00. @spurs announced on X today, "Together, we are not just shaping the future – we’re protecting it." with new sponsor @Ledger
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· 2025-06-25T18:00:01+00:00The OpenLedger AI Connect + Mixer: Korea Edition just wrapped with unmatched energy, insights and community vibes. Now it’s YOUR turn to join the celebration We’re launching an Online Raffle with exclusive rewards and this is open for everyone! To participate: 1.
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· 2025-06-25T15:23:06+00:00OpenLedger is a storm. Not just a passing breeze, but a tidal wave ready to sweep away the closed, centralized world of traditional AI. While traditional AI enriches only a handful of corporations, OpenLedger introduces an open, transparent, and fair system. Here, users, data
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· 2025-06-25T11:11:51+00:00Hey friends, I took some notes on @OpenledgerHQ and here’s why it’s such a game changer — thought I’d share what stood out: OpenLedger isn’t just another blockchain — it’s the AI blockchain powering intelligent agents with: Real-time context Traceable data Onchain
· 2025-06-25T06:49:52+00:00OpenLedger 这个项目确实有点意思，不过现在网上那些吹捧的文章写得也太官方了，我来换个角度说说。 先说数据贡献这块，很多人觉得上传几张照片就能赚钱太夸张。但你们想过没有，为什么以前这些数据都被大厂白嫖？因为缺乏确权机制！ 现在 OpenLedger 用 PoC
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· 2025-06-25T19:34:43+00:00OpenLedger AI Connect + Mixer in Korea a Huge Success! The @OpenledgerHQ AI Connect + Mixer event in Seoul, South Korea, was a tremendous success. vibrant, energetic, and full of positive momentum Hundreds of attendees from diverse backgrounds came together, united by a
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· 2025-06-25T12:25:13+00:00openledger might be making the most ambitious play in attribution-native ai right now. proof of accuracy reward distribution + datanet → specialized language models + rag attribution for real time api calls. each use case is like aave for data.