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Usage.ai is an automated cloud cost optimization platform designed to help companies reduce infrastructure spending across AWS environments. The platform focuses on optimizing commitment-based pricing such as AWS Savings Plans and Reserved Instances.
Instead of manually forecasting infrastructure usage and purchasing commitments, Usage.ai continuously analyzes real-time cloud consumption and automatically manages commitments to maximize savings while minimizing the risk of unused capacity.
Engineering and FinOps teams use Usage.ai to improve their effective savings rate, reduce manual cloud cost management work, and gain better visibility into infrastructure efficiency.
By automating commitment purchasing and optimization, Usage.ai helps organizations achieve predictable cloud savings while allowing engineering teams to focus on building products instead of managing cloud pricing complexity.
Usage AI
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Usage AI's answer
Usage.ai automates cloud commitment management with AI, continuously optimizes savings across AWS, Azure, and GCP, and protects customers with Insured Commitments that reduce the risk of underutilized commitments.
Usage AI's answer
Usage.ai doesn't just recommend savings - it automatically purchases, manages, and optimizes cloud commitments, backed by Insured Commitments that reduce financial risk and maximize long-term savings.
Usage AI's answer
Usage.ai is built for DevOps, FinOps, Cloud Architects, Engineering leaders, and IT decision-makers who want to reduce cloud costs across AWS, Azure, and GCP without manual commitment management.
Usage AI's answer
Usage.ai was founded in 2020 after its founder saw companies either overpaying for cloud infrastructure or avoiding long-term cloud commitments because of the financial risk. The company set out to make cloud savings automatic, risk-free, and easy, helping businesses save without code changes or lock-in.
Usage AI's answer
Primary technologies used by Usage.ai:
Based on our record, GitHub seems to be a lot more popular than Usage AI. While we know about 2463 links to GitHub, we've tracked only 3 mentions of Usage AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Thanks for sharing your project! Cloud costs have gotten ridiculously out of control (an Andreessen Horowitz report estimates that the excess cost of public cloud is $500 billion per year [1]) and it's great to see more projects tackling this problem. I'm curious to see if you plan on implementing automation, or if the tool is focused on recommendations? We've built a tool at Usage.AI that automatically buys and... - Source: Hacker News / about 4 years ago
+1 on WalterGR's question. Google Cloud recently hiked prices (again), doubling prices for some of its services [1], though Amazon has a better track record of keeping prices steady (or even reducing them) [2]. There are also newer innovations that aren't discussed in that comparison, like Google's Commited Use Discounts and Azure Reserved VM Instances (their answers to Amazon's Reserved Instances). If you're... - Source: Hacker News / about 4 years ago
FYI, you didn't provide a clear link or anything. Just the privacy policy in footer. Looks like it is this: https://usage.ai. - Source: Hacker News / about 4 years ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / about 14 hours ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 1 day ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 11 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 11 days ago
Gitea is where all private repositories live: infra configs, personal projects, anything I don't want on a third-party server. Public projects still go to GitHub because that's where the audience is, but a number of those GitHub repositories are mirrored back to Gitea as a local backup. The split is simple: Gitea for control and resilience, GitHub for reach. - Source: dev.to / 12 days ago
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