
X posts as clean Markdown for LLMs
通过 API 或 URL 替换将 X posts 转换为干净的 Markdown,供 LLMs 和 agents 使用
@larsbuilds · X
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通过 API 或 URL 替换将 X posts 转换为干净的 Markdown,供 LLMs 和 agents 使用
@larsbuilds · X

使用Strava或里程表追踪山地自行车悬挂、传动和保养周期。
@GadgetsCars · X
Built a mountain-bike service-tracker with no accounts and no server-side data nothing to breach, I don't have your data. Garage stays on-device, cloud backup is encrypted on your phone before it leaves. Built with Claude behind a strict test+CI gate.

AI驱动的CRM,用于潜在客户发现、电子邮件验证和冷联系。
@ensaktas · X

为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to

创建实时链接与团队和客户分享并同步更新数据。
u/Melodic-Living4805 · Reddit
Roast my Agentic Platform Been building this platform on the side for about a year would love to hear if the messaging is clear and what your first impressions are. Are you curious ? confused . impressed etc ? https://pindown.ai/ submitted by /u/Melodic-Living4805 to r/microsaas [link] [comments]

扫描AI提示词和端点的漏洞,实时监控生产LLM的安全性和合规。
@CognisafeUK · X

描述您的项目成果,与经过认证的自由职业者匹配;款项由第三方托管。
@ashish_b_py · X
Tiered of buring tokens to get 70% product

设定收入目标以获得匹配的远程工作和个性化行动计划
@abrahamelo_ · X

GoldBean: 按次付费API市场,拥有47个AI接口(OCR、翻译、图像生成、LLM聊天等)。
13639366668 · HN
Pay-per-call MCP server with 47 AI endpoints, micropayments via x402

上传PDF或文件夹创建分享链接,支持密码邮箱门控和访客分析。
@emironic · X
- free plugin for Claude and Codex to put your work as public website with single line `publish to Revdoku` prompt.

在共享层中记录产品决策、背景和推理,团队不会遗忘决策背后的原因。
@TimEngng · X
Stop losing the "why" behind product decisions -

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/