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Tech stack
60 projects
Find hidden cloud and AI costs across AWS, Azure, GCP, and more with automated audits.
ssgonella · HN
QuantumReckon – find your real cloud and AI spend, including tokens
Deploy a private AI agent in under 2 minutes with Discord, Telegram, and web chat.
@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.
Free AWS bill scanner that runs in your browser with no signup or API keys required.
@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:
AI agent on a cloud computer that automates workflows, drives browsers, and runs deep research.
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
Scan code and applications for vulnerabilities using AI-augmented security analysis.
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
Deploy AI inference models on serverless GPUs with sub-200ms cold starts and pay-per-second billing.
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.
Free AI chat with multiple models (Grok 4 Fast, DeepSeek V3.1) requiring no login.
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
Deploy serverless AI models with a single line of code at competitive rates.
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
Check which network routes and Cloudflare nodes various AI services use.
@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。
Unified API layer to integrate your website with multiple AI systems.
@rofarkas · X
