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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.
Flattr Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Flattr should be more popular than Haystack Analytics. It has been mentiond 11 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.
Https://flattr.com/ used to have such a system without the cryptocurrency nonsense and it went about as far as you'd expect. On the other hand, it didn't falsely claim your funds were going to creators, so in that sense they're still a better alternative than whatever the hell Brave seems to be doing. I don't know why, but Brave's cryptocurrency doesn't even work in my country. Whatever regulation they're afraid... - Source: Hacker News / about 1 year ago
Flattr was a kind of a version of that (although billed as "donations"), and it recently shut down. https://flattr.com/. - Source: Hacker News / over 2 years ago
There was https://flattr.com/ and, more recently, https://twitter.com/coil But, yes, a complete chicken-and-egg problem. - Source: Hacker News / over 2 years ago
I think Flattr does exactly this https://flattr.com/ but it looks like they may have changed their business model recently. - Source: Hacker News / about 3 years ago
This kind of looks like https://flattr.com/ but specifically for dev/dependencies. Not sure I like that there's "only" a two-month limit in which funds can be claimed, though. Some developers could be very busy or get caught up with other stuff and not hear about their accumulated funds before the "expire". Some might also think it's a phishing scam if they haven't heard of StackAid before. - Source: Hacker News / almost 4 years ago
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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