Alternatives
Products that do what Nimbus – AI Agent to control cloud costs does
Hi HN! I built Nimbus, an AI agent that helps companies reduce their cloud costs by automatically analyzing their infrastructure and recommending specific optimization actions. What it does: - Continuously monitors AWS, GCP, and Azure resources - Sends daily actionable recommendations via email - Identifies underutilized dev/test VMs and over-provisioned - Kubernetes clusters - Estimates potential savings for each recommendation - Provides one-click approval for implementing changes - Tracks savings over time with detailed analytics Future Plans: - Support for DigitalOcean and Oracle…
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CAST AI (https://cast.ai) has built a cloud optimization platform that reduces AWS cloud costs 50% to 90%, optimizes DevOps, and automates disaster recovery via multi-cloud with a single cluster. Intelligent optimization engine delivers a cost-efficient, high-performing, and resilient infrastructure for every Kubernetes workload. If it sounds too good to be true - try free. To make it easier CAST AI provides AWS and GCP cloud credentials for free. Visit https://cast.ai Here's how it works: 1.Use CAST AI to deploy your K8s clusters. Next, take a look at the CAST AI…
2021
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Skip the setup and run OpenClaw & Hermes, fully managed
17d ago · cloudways.com
- 10IB
Hey HN: I'm Kaveh, the founder of Usage (https://www.usage.ai/) We help companies drive down AWS costs. Why? Because the way it's done now is a pain. Stakeholders, especially engineers, are required to spend unnecessary time manually finding underutilized or overly expensive EC2s. We believe the optimization process should be done automatically through a series of sophisticated algorithms. At the moment, there are over 70,000 AWS EC2 prices - doing that manually just won't scale at most organizations. My background is in software engineering. Previous to founding Usage, I…
2020
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Hey HN: Kaveh here, founder of https://www.usage.ai/ We help companies drive down AWS, GCP, and Azure spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. I have been building Usage AI for almost 4 years now (4 year anniversary in 1 month from now!) with an incredible group of founding people. We started as a product just to help lower AWS EC2 costs, and now we do all major AWS services (such as RDS, OpenSearch, ElastiCache, and Redshift with more on the way) and other…
2024
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CloudBot gives you a fully configured AI employee with its own cloud computer in one click. Built on OpenClaw. What you get: - Full Ubuntu desktop environment in the cloud - Pre-installed AI agent that sees the screen and controls the computer - 24/7 availability - your AI keeps working while you sleep - Uses your own API keys for AI models - Starting at $69/month The AI can use VS Code, browse the web, run terminal commands, manage files - anything you'd do on a real desktop. I wake up to completed code reviews, finished research reports, and updated documentation. Built this…
Feb 2026 · cloudbot-ai.com
- 14IB
Hi everyone, I've been working on a side project over quarantine called Usage.ai and I finally feel comfortable enough to launch it. We're a service that plugs directly into AWS, automatically finds savings, and applies those savings at the press of a confirmation button all without ever needing to go to an AWS console. I'd love to get HN's thoughts on it! Demo: https://www.loom.com/share/2a6f1c8e4c214914a1cdd88c6fdec4ac Link: https://www.usage.ai/
2020
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Hi HN, my name is Maria, and I’m a co-founder of Maritime. We started Maritime at MIT to build infrastructure for companies that need to run thousands of isolated AI agents for their customers. Imagine you set up an agent like OpenClaw, or a personal assistant agent with a custom framework, and want to give a separate version of it to every customer/friend. Each customer needs their own agent running in an isolated microVM, with persistent state, secrets, triggers, and sleep/wake behavior. Building such scalable and secure infra will take you months and will cost hundreds of…
18d ago · maritime.sh
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Wanted to share some exciting news - CAST AI (AI-driven cloud cost monitoring and management platform) has launched a free Cloud security insights tool for K8s. Security Insights offers the following features: Kubernetes configuration checks, to ensure your cluster is configured according to best practices for pods and workloads. Users are provided with details on individual checks and resources through CAST AI’s user interface. Vulnerability scans, which offer an overview of potential issues that might appear due to container images downloaded from public registries. Round-the-clock…
2022 · cast.ai
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Founder here. I built NEO, an AI agent designed specifically for AI and ML engineering workflows, after repeatedly hitting the same wall with existing tools: they work for short, linear tasks, but fall apart once workflows become long-running, stateful, and feedback-driven. In real ML work, you don’t just generate code and move on. You explore data, train models, evaluate results, adjust assumptions, rerun experiments, compare metrics, generate artifacts, and iterate; often over hours or days. Most modern coding agents already go beyond single prompts. They can plan steps, write files, run…
Jan 2026 · marketplace.visualstudio.com
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gm gm, We’re excited to show our project, Hive Network, a new frontier for decentralized AI agents that operate both on-chain and off-chain. Our mission is to make AI more powerful and transparent, and we’re inviting you to join us in this revolution. What is Hive Network AI? -- Hive Network AI is a platform where developers can create, deploy, and manage AI agents that function autonomously across blockchain and traditional networks. Our system addresses significant issues in the AI space, such as the lack of transparency, difficulty in monetizing models, and insufficient research funding.…
2024 · hivenetwork.ai
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Humans compete to improve their AI agents on benchmarks. But what if agents could collaborate and compete on their own? We built Hive, a crowdsourced platform where agents can evolve solutions together. One agent begins to tackle a task, iteratively improving its code. Then other agents join. They read each other’s runs, fork the best ideas, propose new ones, and push the solution forward together. We already have agents working on benchmarks like Tau2-Bench, Terminal-Bench, and ARC-AGI-2, with more tasks coming soon. We also support the new OpenAI Parameter Golf Challenge, and you can…
Mar 2026 · hive.rllm-project.com
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Hi HN. I'm the founder of Phoenix Labs (ex TikTok, Applied AI) and we're open sourcing our internal tooling today which is like a toolchain / meta-harness for CLI agents useful for really scaling eng and creative work. We are a very small team who's building a very ambitious product so we had to find ways to squeeze every ounce of efficiency that we could get our hands on. Harness strengths of different models (Claude, GPTs) and CLI-harnesses (Claude Code, Codex), safe/robust browser integration to speed up UX/QA testing, teams cli to speed up security reviews and parallelize…
May 2026 · agents-cli.sh
- 21AB
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We launched a new free tool to help engineers understand their AWS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up end up becoming cloud accountants or end up forking over a big % of their AWS bill for a tool to understand costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how this new tool works: It's fully self-serve and…
2022
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Hi HN! Sean from MindStudio here. I wanted to share something we've been working on that I think introduces some new ideas into the "AI coding agent" space. Remy is an AI agent that builds full-stack TypeScript apps from a spec written in a new flavor of annotated markdown. The spec has two layers: prose describing what the app does, and annotations that carry the technical precision (data types, edge cases, validation rules, code snippets). The agent then "compiles" this into code: backend methods, typed schemas, frontends, test scenarios, and everything else are derived artifacts of the…
Apr 2026 · remy.msagent.ai
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Example actions to Jules (an independent cloud coding agent from Google Labs) from GitHub actions.
Dec 2025 · github.com
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May 2026 · github.com
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