Haystack Analytics
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AWS CloudCost
Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.
Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.
Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.
Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.
Plainstack Teardown reads an AWS Cost Explorer export and shows you where the money is actually going: over-provisioned compute, NAT Gateway charges hiding inside "EC2 โ Other", Multi-AZ on databases that don't need it, storage with no lifecycle rules, log retention set to never expire, and steady workloads still paying on-demand rates.
Everything runs in your browser. The file is never uploaded, there is no signup, and no email is required โ you can disconnect from the internet after the page loads and it still works.
Findings are pattern-based estimates rather than measurements, so every figure is shown as a range.
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Haystack Analytics's answer
Engineering Leaders and Managers
Plainstack Teardown's answer:
Engineering leaders at small and mid-sized software companies โ CTOs, VPs of Engineering, heads of platform or infrastructure, and technical co-founders.
Typically 10โ100 people, running on AWS, spending somewhere between $5,000 and $50,000 a month, with nobody whose actual job is watching the bill. Large enough that the waste is real money; small enough that there's no dedicated FinOps function to catch it.
Plainstack Teardown's answer:
Plainstack Teardown is newly launched and we're not naming customers yet.
Plainstack Teardown's answer:
It runs entirely in your browser. Your billing export is never uploaded, never transmitted and never stored โ you can disconnect from the internet after the page loads and it still works.
Every other tool in this category wants you to connect your AWS account or hand over an email before it shows you anything. This shows you the answer first and asks for nothing at all.
It's also diagnostic rather than descriptive: it doesn't just report what you spent, it names the specific patterns behind it โ NAT Gateway charges hiding inside "EC2 โ Other", Multi-AZ on databases that don't need it, storage with no lifecycle rules, steady workloads still on on-demand rates.
Plainstack Teardown's answer:
Honestly, for most teams it isn't an either/or โ it's a first look.
CloudZero, Vantage and nOps are platforms: you connect an account, onboard, and pay monthly for ongoing visibility. If you need continuous cost monitoring across a large estate, that's what you should buy.
This is for the moment before that. Two seconds, no signup, no sales call, no connecting anything to your account. You find out whether there's anything worth chasing, and if there isn't, you've lost two seconds instead of a demo call and a trial.
It's free, and it stays free.
Plainstack Teardown's answer:
Plainstack runs flat-rate AWS cost audits. Doing that work, the same handful of problems turned up in account after account โ the same services over-provisioned, the same settings left at defaults, the same things switched on for a launch and never switched off.
None of it needed a consultant to spot. It just needed someone to look.
So we built the free version of the first hour of an audit and put it in the browser, with no signup and nothing uploaded, because asking someone to hand over their billing data to find out whether they have a problem is a strange thing to require.
Plainstack Teardown's answer:
Next.js, React and TypeScript, styled with Tailwind CSS, deployed on Vercel.
The analysis itself is plain client-side JavaScript โ there is no backend, no database and no server-side processing of your file, which is what makes the privacy claim structural rather than a promise.
Based on our record, Haystack Analytics seems to be more popular. It has been mentiond 2 times since March 2021. 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.
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 5 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). Weโre building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 5 years ago
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