
QuantumReckon — see what your clouds and your AI really cost, with proof
使用自动审计发现 AWS、Azure、GCP 等的隐藏云和 AI 成本。
ssgonella · HN
QuantumReckon – find your real cloud and AI spend, including tokens
完整作品展
技术栈
60 projects

使用自动审计发现 AWS、Azure、GCP 等的隐藏云和 AI 成本。
ssgonella · HN
QuantumReckon – find your real cloud and AI spend, including tokens

部署私有 AI 代理,内置 Discord、Telegram 和网络聊天。
@AldoGrillo · X
Been shipping hard on Just added web hosting as a service your AI Agent can fully manage. New capabilities almost every week. All of it developed with AI code development. If you’re into vibe coding and actual agent autonomy, this is worth a look.

CloudSaver AI - 免费AWS账单扫描工具,浏览器中运行,无需注册或API密钥。
@malinuonuo · X
Day 1 live: I just shipped CloudSaver AI on Reddit. A free AWS bill scanner. No signup. No API keys. Runs entirely in your browser. Demo: #buildinpublic #aws #indiemaker

Zero-setup JSON database for AI-generated app frontends with encrypted persistence.
@dhairyadarji786 · X
Tired of database setup for simple AI/Cursor prototypes?I built CloudState: a zero-config cloud database for vibe-coding. ⚡Get a secure JSON endpoint in 10s 🤖 Custom prompts for Cursor/Bolt/v0 to sync state via fetch Check it out:

云端个人AI助手,自动化工作流、驱动浏览器和执行研究。
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe

使用AI增强的安全分析扫描代码和应用漏洞。
u/swifi_ai · Reddit
After 10 years of keeping this idea alive, I finally launched my AI security platform to beta After more than 10 years of keeping this idea alive in one form or another, I finally pushed Swifi live to beta: https://swifi.ai Swifi is an AI-augmented application security platform. The goal: combine traditional security scanning with AI so teams can understand risk across code, vulnerabilities, and production context without stitching together a dozen disconnected tools. Why now? AI change

Runpod是无服务器GPU推理平台,冷启动低于200ms,按秒计费。
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.

免费 AI 聊天,支持多个模型(Grok 4 Fast、DeepSeek V3.1 等),无需登录。
Free AI for Everyone — 无需登录、完全免费的 AI(模型包括 Grok 4 Fast、DeepSeek V3.1 等)。可选择的模型以后可能会有所调整,但这个服务会长期提供,并且完全免费

用一行代码部署强大的 AI 模型,享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

查看各 AI 服务使用的网络路由和 Cloudflare 节点。
@0xdeusyu · X
想知道代理是不是真的把每个 AI 站都送到同一个出口? 答案:并不是。 我做了一个 AI 分流测试: 它会探测 ChatGPT、Sora、OpenAI、Claude、Grok、Anthropic、Perplexity 等 AI 服务,通过读取各站点的 Cloudflare Edge Trace 信息,获取实际访问情况: 出口 IP Cloudflare 边缘节点(colo) HTTP / TLS / WARP 状态 访问延迟 然后根据落地位置进行归组。 这次测试结果: 6 个服务(覆盖 7 个域名)走美国出口。 唯一例外是 Sora,落在东京节点。 也就是说,同一个代理配置下,不同 AI 服务并不一定经过同一个出口。看起来“都能访问”,实际线路、节点和落地点可能完全不同。 整个测试工具纯前端实现,零后端。


通过统一 API 层将网站与多个 AI 系统集成。
@rofarkas · X