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Axis Community Sale just ended. A total of 2,472 participants committed 2,394,209.52 USDC to our Community Sale on Sonar by @echodotxyz, making this the most participated Sonar sale of 2026. We want to say THANK YOU to everyone who joined. We truly felt your conviction and confidence in Axis Robotics. Physical AI needs datasets with great diversity, and crowdsourcing them at scale requires support from a global community. Axis would not be who we are today without you, and we could not go far in the long run if loyal contributions are not generously rewarded. For everyone who participated, we are cooking up some special surprises for you, which will be announced very soon. What’s next: 1. Funds are allocated pro-rata. We are in the process of settling the funds, after which allocations will be recorded on-chain. 2. Unaccepted USDC will be automatically refunded within the next 48 hours.

The $AXIS Community Sale is officially oversubscribed. Nine months ago, we started building this from the ground up. Now, we have a Physical AI data engine generating 100,000+ data trajectories every day. We would not be here without the support and conviction of our loyal community members. You can still commit. The commitment window remains open until Sep 28, 13:00 SGT (05:00 UTC). Allocations are settled pro-rata across accepted commitments, and any USDC not accepted is auto-refunded. Probably nothing, or probably something?

REVOKE APPROVALS TO THESE ASAP: Payment Processor V2 on Ethereum: 0x9A1D00bEd7CD04BCDA516d721A596eb22Aac6834 Payment Processor V3 on ApeChain: 0x9a1D00000000fC540e2000560054812452eB5366 use revoke.cash or similar.

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그록봇 스타일 케릭터 만들어 주는 프롬프트 공유 grokbot-icon-studio.serio-ai… 파딱이 아니라 긴 텍스트 업로드가 안되어 아예 웹앱 형태로 배포합니다. 다음 사이트에서 복사 버튼을 누르고 사용하는 이미지 생성 Ai에 붙여넣기해서 활용해 주세요

群消息来不及爬楼，客户聊天想做复盘，有价值的内容又想存进知识库……我想把这些操作变得简单一点。 于是我们做了 WeChatBridge（微信流），现在已经完全开源。 它的作用很直接：在微信和 AI 应用之间，帮你把选中的聊天记录送过去。 ① 聊天记录，一次选择，多种去向 支持转发到 Codex、Claude Code、WorkBuddy、豆包、千问办公、WeSight 等 Agent，也能存进 Obsidian、复制到剪贴板，或发送给自定义应用。转发入口可以通过开关控制。 ② 给不同聊天配上不同任务 客户群可以设成“整理需求、风险和下一步”，项目群可以配上自己的分析要求。转发时选好场景，就不用每次重新写提示词。 我自己建了几个 AI交流群，忙起来没空逐条看，这也是我特别想做场景功能的原因。 ③ 配合 Skill，继续处理聊天里的内容 比如群里分享了公众号文章，可以让 Agent 借助相应 Skill读取并输出摘要，感兴趣再深读。也能按工作需要配置处理视频号、PDF、办公文件的场景，更多分类技能还在整理上传中。 ④ 把值得留下的聊天存进 Obsidian 不只是存文字，还能展示图片、文件和链接。工具也有操作记录，方便把之前选过的内容再次发给其他 Agent，少翻一次微信。 关于处理方式：它不主动读取微信，也不会替你发消息；聊天内容在本机处理，由你选择转发目标。首次使用可能需要授权打开应用、粘贴内容，没授权成功也可以先复制到剪贴板。 这个版本叫 step one，希望开源后能和大家一起继续完善。感谢核心共建者@woniu20758393蜗牛，也感谢 Dukou（渡口）开源项目，微信流是在它的基础上二次开发的。 开源地址：github.com/freestylefly/WeCh… 产品地址：render.qmuse.pub/p/muse/2413…