Alternatives
Products that do what OpenAI Cost Monitoring does
Hi HN, My name is Ben Schaechter and I’m Co-Founder and CEO of https://vantage.sh - a cloud cost visibility and optimization platform. We just added support for monitoring OpenAI costs and usage to Vantage and I wanted to share a demo we put together with HN as I thought people might find it interesting: https://www.youtube.com/watch?v=CzAOU1-uMrM In early April we started getting requests from customers to add OpenAI cost support specifically as it was a bit opaque as to what exactly was driving costs. The way this works is that it uses an undocumented API available…
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2021 · vantage.sh
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Hey all - I work at Vantage, a FinOps platform. I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more productive. The MCP Server acts as a connector between LLMs (right now only Claude, Cursor support it but ChatGPT and Google Gemini coming soon) and your cost and usage data on Vantage which supports 20+ cloud infra providers including AWS, Datadog, Mongo, etc. (You have to have a Vantage account to use it since it's…
2025
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Hey folks, my name is Owen and I recently started working at a startup (https://infracost.io/) that shows engineers how much their code changes are going to cost on the cloud before being deployed (in CI/CD like GitHub or GitLab). Previously, I was one of the founders of tfsec (it scanned code for security issues). One of the things I learnt was if we catch issues early, i.e. when the engineer was typing their code, we save a bunch of time. I was thinking … okay, why not build cloud costs into the code editor. Show the cloud cost impact of the code as the engineers are…
2024
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Hey HN: Kaveh here, the founder of https://www.usage.ai/ We launched on Hacker News for the first time early last year, and we've made a lot of progress since then. We've saved tens of millions of dollars for companies, and we are even more excited to announce the launch of a new product: insured reservations for RDS! We worked closely with AWS on this feature and are excited to finally make it generally available. We help companies drive down AWS EC2 & RDS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs…
2023
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Hi HN, https://www.youtube.com/watch?v=MN7RNVo9nc4 (The text below is based upon the linked video above) I'm Co-Founder & CEO of Vantage: a cloud cost observability platform. Our team put together a quick video showing a new feature we launched that I think this community may be interested in: Network Flow Reports. This gives you the ability to see flows normalized by cost instead of usage for AWS resources. Knowing that AWS has different rates depending on the source and destination of network traffic, we did the work of ingesting VPC Flow Logs and cross-referencing with the…
2024
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Link: https://www.vantage.sh/features/per-resource-costs Hi HN, I'm Co-Founder and CEO of Vantage and we just made "Per-Resource Costs" available to everyone, including users in our free tier. Vantage will now show you the cost of each individual AWS resource (EC2 instance, RDS instance, S3 Bucket, SNS Topic, Lambda Function, etc). You can drill down into each resource to see subcategory costs so imagine seeing specific egress costs being tied to a specific Cloudfront distribution or EC2 instance. This works by Vantage ingesting and processing Cost and Usage Reports from…
2022
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If you’re in DevOps, SRE or software engineering in general you’ll love this. You can now both monitor your Kubernetes costs and get cost reduction insights completely FREE with CAST AI. We’ve just officially opened cost monitoring feature up to the public at CAST AI and it’s got no limits to the number of clusters you can connect or historical data you can access. Check it out here: https://cast.ai/cloud-cost-monitoring/ CAST AI’s cost monitoring features: - Free analysis for all your clusters, with no limits on their number or sizes. - Near-instant results as…
2022 · cast.ai
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OpenCost is an open source implementation for Kubernetes cost monitoring and now cloud cost monitoring for AWS, Azure, and GCP. The project makes all of this data accessible via an API and user interface. While discussing the idea of running OpenCost on platforms besides Kubernetes we realized that with this new Cloud Costs feature there are users who want API access to their cloud billing data without needing to run on Kubernetes. I opened the Issue OpenCost without Kubernetes #2268 and as luck would have it, we had our internal Hackathon last week. If you're not familiar with OpenCost,…
2023 · github.com
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Hello Folks, I am an indie developer, For the last 5 months I was freelancing by building GPT-powered chatbots. One of the challenges I faced was not having visibility into my OpenAI costs. This is why I have built a dashboard to get a complete breakdown of my OpenAI API usage through network calls from OpenAI. Please give it a try & help with feedback on how I can further improve the product,which can really add value and save some money. Note: 1)I found this API through the network logs of the billing screen. 2)The tool stores the OpenAI Key locally on the browser.
2023 · puddl.io
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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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Hi! My OpenAI costs started going up recently and I hated how I couldn't figure out which model was costing me more? The OpenAI usage page (https://platform.openai.com/account/usage) gives a nice overall breakdown, but it doesn't go into detail about cost / model, token usage, and # requests. So I reverse engineered their API to make a better dashboard, and then made it free to use. Try it out and let me know what you think. Also please tell me what other features you wish existed here https://platform.openai.com/account/usage but doesn't yet.
2023 · llm.report
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Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 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. 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 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,…
2022 · usage.ai
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Reduce your cloud costs - SREs/DevOps/Cloud Engineers Hi community! We are Kaytu (“Kay-two,” named after the K2 mountain), and we've developed an open-source tool for engineering, DevOps, and SRE teams to reduce cloud costs. Cloud inflation (“cloud-flation”) is real—AWS EC2 costs are up 23% (4-5x global inflation average [1]), and 30% of the capacity that is paid for is simply wasted ([2]). The best way to improve cloud utilization is by simplifying the process so engineers can spot inefficiencies and suggest changes. We built a simple open-source CLI tool that recommends a…
2024 · github.com
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Hey folks, I’m Hassan, one of the co-founders of Infracost (https://www.infracost.io). Infracost helps engineers see and reduce the cloud cost of each infrastructure change before they merge their code. The way Infracost works is we gather pricing data from Amazon Web Services, Microsoft Azure and Google Cloud. What we call a ‘Pricing Service’, which now holds around 9 million live price points (!!). Then we map these prices to infrastructure code. Once the mapping is done, it enables us to show the cost impact of a code change before it is merged, directly in GitHub, GitLab etc.…
Jan 2026 · dashboard.infracost.io
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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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