@cnyzgkc · X

idoubi @idoubicc 老师执行力拉满！ 直接做了一个 CodexThemes 主题站，把创建、分享、查找、安装、启用 Codex 主题的流程闭环！ 使用方式：直接复制提示词发给 Codex，就可以让Codex 管理主题。 网站地址：

plutozc · V2EX

做了个 Codex Desktop 主题预览和切换工具，先调好再安装 最近一直在用 Codex Desktop ，觉得默认界面看久了有点单调，就顺手做了个主题编辑工具，分享一下： [Codex Skin]( https://getcodexskin.com) 可以先在网页里预览主题，调整背景透明度、面板透明度、颜色、模糊和圆角等参数，满意之后再下载并切换到 Codex Desktop 。 目前支持： - 自定义 JPG 、PNG 、WebP 背景 - 在线实时预览主题效果 - 调整透明度、颜色、模糊、圆角 - 预览满意后生成安装命令 - 不喜欢了可以恢复默认外观 目前主要面向 macOS 上的 Codex Desktop ，还是个人项目，功能和兼容性都在继续打磨。 欢迎试试，也想听听大家对主题参数、预览效果和安装流程的反馈。 直接网址： https://getcodexskin.com [轻喷 轻喷，可能还有些 bug

zemul · V2EX

每次 Codex 额度刷新全靠社区消息，反应慢一步直接错过 所以我搭了个自动化服务： - 抓取 OpenAI 员工的公开推文 - 新推文丢给 LLM 做语义判断：是不是在说额度重置 / 限额恢复 - Telegram 推送 地址： https://divin.cc/

@Number1AIFanboy · X

I got to go to bed. More coding tomorrow. I just had a realization that I'm building cool shit, using @grok in an app that I built with Codex and refined with Grok. And now Grok just works on himself. LFG🚀 Drop me a note here: Get the app here (use LAUNCH50):

@AlexGiraffe031 · X

做了一个监控Tibo和实时预测codex什么时候重置的网站，Tibo我会一直视奸你...直到永远...

Codex Pet Generator — 上传一张照片，AI 生成专属动画像素宠物（spritesheet.webp + pet.json），一行命令装进 OpenAI Codex 终端，陪你写代码的像素伙伴

@MiniPotSatomi · X

给 Codex 用户做了一个轻松娱乐小站： Codex Reset Watch ⏳ 可以查看预计的下次额度重置时间、本地时区倒计时，以及过去的重置记录。 目前支持英文、简体中文和繁体中文。 信息由人工整理： #Codex #OpenAI #AI工具

@d1nz_3 · X

visibility splits in two now n most lists cover one half. u can be findable on google n still never get named when the same buyer asks chatgpt. I run my own buyer questions past the models weekly n log who gets named - wired it into coz I kept skipping it

@ktat93 · X

A lot of things actually: 1. (qrcode generator - $120mrr) 2. (analytics soon + monitoring) 3. 4. (~10k visitors)

@Ethan_huang0807 · X

SaaS 时代： 大家关心的是 Monthly Active Users。 AI 时代： 大家关心的是 「今天 Reset 了吗？」 竟然有人专门做了一个网站实时追踪： 一个以前没人会想到存在的产品。

@Ex3NDR · X

Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon