
Usage AI
ProsperOps
CloudFix
CloudZero
Cloudability
MarginDash
Zesty
Pump
e2b
Modal
Daytona
Better Stack
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Molted
Sockt.dev
ipinfo.io
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.
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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, e2b seems to be a lot more popular than Usage AI. While we know about 39 links to e2b, 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 / over 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 / over 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 / over 4 years ago
If you're building AI agents that execute code, you've probably heard of E2B. It's an awesome platform for running AI agent code in secure sandboxes. But there's a catch: you're locked into their cloud. - Source: dev.to / about 1 month ago
With some fear that corporate data could be revealed by messy AI applications, sandboxing was high on the agenda, and Matt Brockman, an AI engineer at enterprise sandboxing business E2B, explained that there really wasn’t much to be frightened of. - Source: dev.to / 2 months ago
E2B is the sandbox. It gives the agent its own computer to do work. - Source: dev.to / 3 months ago
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / 4 months ago
E2B | SF, Prague, Remote | Eng, GTM, and Operations | https://e2b.dev/ E2B is building infrastructure for AI agents, and has quickly become the open source standard for agentic workflow sandboxes. Customers include Perplexity, Groq, Manus, and more. We are experiencing explosive growth and hiring for several technical and non-technical functions as we prepare to 3x the team this year. - Distributed Systems Engineer. - Source: Hacker News / 4 months ago
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