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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.
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Haystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, OSSInsight should be more popular than Haystack Analytics. It has been mentiond 15 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.
Ask yourself the tough question: why am I trying to make a brand new repo and get people to look at that vs. Contributing to an existing repo that already has momentum? https://ossinsight.io/ And there are tiers within all the repos there. You can find small niche ones and make PRs with your ideas. Much more likely to get use. - Source: Hacker News / 4 months ago
Recently I found out about the OSS Insight online data tool (https://ossinsight.io/). Seeing as I've wanted, and tried myself, to track such information I found it interesting how well they manage to gather and present the info. They have a neat section where they show a comparison of collections of OSS projects (https://ossinsight.io/collections/). But unfortunately there was nothing C++ related in there. But now... Source: over 3 years ago
Use this thread to ask anything about OSS Insight! https://ossinsight.io/. Source: over 3 years ago
2. HTAP: TiDB has a great TP performance and an excellent OP performante. See their OSSIsight project: https://ossinsight.io/. - Source: Hacker News / over 3 years ago
The OSS Insight website displays the data changes of GitHub events in real time. It's powered by TiDB Cloud, a MySQL-compatible distributed SQL database for elastic scale and real-time analytics. - Source: dev.to / over 3 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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