
Codex 额度重置提醒|别错过 reset credits
自动监控 Codex 额度重置,通过 Telegram 推送及时提醒。
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/
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自动监控 Codex 额度重置,通过 Telegram 推送及时提醒。
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/

长上下文对话、代理规划和代码部署的独立 AI 工作台
david082321 · V2EX
我做了一个 Kimi K3 的工作台,把成本、部署、评测和使用场景整理到一起 最近看大家聊 Kimi K3 、Claude 、GPT 在 coding 和长上下文任务里的差异,发现很多信息散在不同地方:API 成本、上下文窗口、本地部署、硬件需求、评测表现、适合的使用场景,都要来回翻。 所以我整理了一个偏“导航仪”的 Kimi K3 站点: https://kimi3.org/?utm_source=v2ex&utm_medium=post&utm_campaign=kimi3_org&utm_content=create_topic 它不是单纯的介绍页,更像一个给开发者用的参考工作台。你可以快速看 Kimi K3 适合做什么、部署前要准备什么、和其他模型相比大概强在哪里,以及 API 成本怎么估算。 如果你最近也在比较 Kimi K3 、Claude 、GPT 或 GLM 这类模型,欢迎看看,也欢迎提建议。

为销售团队设计的一体化CRM工作空间,配备AI驱动的文档和分析功能。
@Salestrics · X

整理笔记和文集,提问查询,生成播客和学习资料。
mistakevin · HN
I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.

免费的本地优先iPhone日记应用,将日常转化为魔法页面,完全私密存储。
@Enchantifyink · X
Cool, I like those things. Also, a lucid dreaming app sounds wicked. I'm building an app that turns your ordinary day into a fantasy book you can hold.

保存和组织工作会话,用AI记忆即时检索任何工作。
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first


与AI队友协作的团队聊天平台,支持读文件、写文档、集成工具。
@KalantariAria · X
A Discord/Slack alternative with a native AI Agent built in, it's called Waffle (@trywaffle_app).

输入话题即可生成包含研究和音频的AI播客。
u/Which-Breadfruit-926 · Reddit
Launched an AI podcast studio that competes with NotebookLM's audio overviews, here's the positioning bet I'm making (founder here) Founder here, disclosing upfront per sub rules. Most people's mental model for "AI podcast" right now is NotebookLM's Audio Overview: two hosts, a few minutes, generated from your own docs, capped by a daily limit, no easy way to publish it anywhere. PaperVoiceLab ( https://papervoicelab.com ) is built for a different job: you give it a topic (not just a docu

创建和编辑发票、简历和信函等PDF文档 - 免费且无需登录。
@Numatlas · X
Building made me switch from Claude Code to Codex. Claude’s token usage was too expensive for my workflow. GPT-5.6 Sol + Codex lets me focus on building instead of watching usage limits. Loving it so far! 🚀 @OpenAI @thsottiaux