Alternatives
Products that do what We built a product to help companies reduce AWS/GCP/Azure spend by 50% does
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…
- 1IB
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
- 2AB
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
- 3IB
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
- 4IM
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend by buying and selling 3-year no-upfront reserved instances. Why? Because there's almost no liquidity on the AWS EC2 RI Marketplace and it can take a while, if at all, to sell an RI if you need to stop using one. Previous to founding Usage, I worked at JPMorgan Chase as a summer analyst. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically, typically we do this live…
2023
- 5CA
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
- 6IM
I'm normal contractor programmer, for the past few years doing mainly DevOps on AWS. I noticed lot of smaller companies don't have enough work for full-time devops person nor they have cloud/aws knowledge on the team. Lot of them has similar needs. So my thinking is I can help them for flat montly fee to do all the infrastructure on AWS for them. Obviously this is no way to get rich but my hope is to streamline my process and avoid chasing invoices etc. What do you think?
2024 · stunningdevops.com
- 7WR
Hi HN, I previously wore SWE/SRE hats on GCP. Later, I was on the other side, managing thousands of machines. The friction points of onboarding and operating cloud systems are personal problems to me. I’ve found it hard to keep track of all the random cloud resources floating around, especially as my team’s assets proliferated. Occasionally, there is a resource affecting an outage but no one remembers where it is. I am constantly frustrated by existing tooling. APIs can work, after you’ve navigated the byzantine documentation, but I often find myself doing ad-hoc tasks which are best…
2022 · listvms.com
- 8
- 9NA
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…
2025
- 10TT
I use multiple AI tools for work and also my side projects, and the annoying part was to track my costs and token usage across tools. Everytime I had to visit each tool and its respective usage setting to check it and I was losing patience and also was getting hit by surprise limits Now I know that there are already free/open-source trackers for Cursor or Claude usage, and they are useful if that is all you need. My problem is broader as I wanted one small place to see tokens, spend, subscriptions and limits across the AI tools I actually use. I was really tired of switching tabs and…
Jul 2026 · lifehacksgermany.com
- 11AR
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
- 12CW
Hello HN, Lucas here. I’ve been working with BigQuery for ~5 years, mostly in large (petabyte-scale) environments. Over time we ended up spending a lot of money and engineering effort just trying to understand where costs were coming from, why and how to optimize them. At some point we decided to stop, leverage all our past experience and spend a full cycle building tooling focused on cost visibility and optimization. The main goal was to regain ownership of cost data and make it possible to understand our cost structure in under a minute, while aligning the views of engineering and FinOps…
Jan 2026 · cloudclerk.ai
- 13SA
Hi HN, I built SubTrack to help teams find unused SaaS tools and cloud resources before they silently eat into budgets. The motivation came from seeing how hard it is to answer simple questions: – Which SaaS tools are actually used? – Which cloud resources are idle? – What will our end-of-month spend look like? SubTrack connects to tools like AWS, GitHub, Vercel, and others to surface unused resources and cost signals from one place. Recently I added multi-account support, currency localization, and optional AI-based insights to help interpret usage patterns. This is an early-stage project…
Jan 2026 · subtrack.pulseguard.in
- 14MS
For years, I have struggled to understand my cash flow and save for the future. In addition to that, my wife has many credit cards and accounts that complicate matters. I am building a tool that connects all our accounts, helps us create a budget, and tracks and adjusts expenses on the fly. I am also sprinkling some AI magic on it for financial suggestions. I am looking for feedback on the implementation. More importantly, I am looking for more beta testers to improve the product.
2023 · financemadelovely.com
- 15WB
Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…
2024 · dorik.com
- 16OC
Hi everyone, I'm Vasek (https://x.com/mlejva), the CEO of the company behind this - https://e2b.dev. The company is called E2B. We're an open-source (https://github.com/e2b-dev) devtool that makes it easy to run untrusted AI-generated code in our secure sandboxes. You can think of us as coding runtime for LLMs. You can self host us on GCP (https://github.com/e2b-dev/infra/blob/main/self-host.md) and we're working on AWS, then Azure, and any Linux machine. This repo is one of our open-source projects that we're…
2025 · github.com
- 17CS
Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and mcps based on repo/context? People usually accumulate skills, agents, MCP servers,…
Jun 2026 · github.com
- 18CA
I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!
Sep 2025 · infrastructureas.ai
- 19IM
Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission? My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where…
2025 · agentvisa.dev
- 20TC
the cloud is a walled garden built for profit [ not efficiency ]. you’re paying for idle, autoscaling is too slow, and serverless is a scam. locked in, overcharged, and out of options. lttle.cloud is different. decentralized, open-source, and built for real performance [ sub-10ms cold start ], true pay-for-what-you-use pricing, and zero vendor lock-in. deploy anything as "serverless" from any docker image, no rewrites, no bullshit. powered by the blockchain and built in public, it’s transparent, efficient, and free from vendor lock-in. run your own private cloud or join the decentralized…
2025
- 21HD
Hi HN We are launching our 3rd startup. Our 1st was a PhD project turned into a startup which simulated public cloud costs before adoption - an example use-case was Disney trying to figure out how much it would cost to render their new movie on AWS and Google, using different configs, RIs vs on-demand, different services. That was PlanForCloud and was acquired by RightScale. Our 2nd startup was even more interesting - we built a public Container-as-a-Service cloud, but in a place where Amazon/Google could not enter - Iran! This grew fast, and was acquired by the Uber of Iran - the…
2020
- 22IB
I got sick of: - Re-writing the same Terraform for the same common AWS infrastructure - Re-writing the same Rails code to build the same webapp - Re-configuring the same monitoring systems & CI/CD pipelines - Spending a week in dependency & configuration hell wiring it all together When I was launching my first two startups, I wished I had a strong starting point with all of the best practices & technology configured out-of-the-box. Every tool I found wanted to lock me in to some PaaS provider (that might not even exist in a year) who wanted to take a premium on my infrastructure spend…
2024
- 23IB
Hey HN. I built an AI agent harness over the past few months and I'm open sourcing it today. Some context on why. I've been building with Claude Code daily using this harness. It orchestrates multiple AI agents as a team, with a dashboard, chat, kanban board, the works. I used it to build a full SaaS product (MyUpMonitor, https://myupmonitor.com) in about 24 hours of focused coding. Then yesterday Anthropic announced Mythos and decided to keep it behind closed doors. Meanwhile I'm paying for Claude and I can't access their best model. I don't think that is nice at all... So I'm…
Apr 2026 · github.com
- 24WM
We've recently made our product, ozma.io, open-source. It's a CRM/ERP platform for building enterprise systems. We believe that AI will soon handle implementing most of the boilerplate and UIs in the specialized business software. Just look at what lovable.dev does today! Soon products which make creating business software easier for developers will become obsolete, or transform into "libraries" to be used by AIs. We are losing this race, so we go the second route — publish everything and go on building other products on top of it. GitHub repo URL:…
2025 · github.com
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