Cast
SAP SCM
Oracle SCM
Manhattan SCM
E2open
Descartes SCM
Anchor.fm
HighJump
Haystack Analytics
LinearB
GitPrime
Waydev
Swarmia
CodeClimate
Athenian
Teamplify
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.
Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Cast should be more popular than Haystack Analytics. It has been mentiond 6 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.
Cast is an online solution for podcasting and online recording. It records audio and video locally and syncs it to the cloud, which allows users not to worry about Internet connection failures and ensures high quality of the recorded content. The tool isnโt overloaded with features and isn't pricey. Source: over 3 years ago
I use Cast. It's subscription but not too expensive. Source: over 4 years ago
Weโve been using Cast (https://tryca.st/) for over a year now. Weโve tried some other options like zencastr which Iโm not a fan of and local recording which didnโt work that great due to the age of my cohosts computer. Cast works really well and allows a cheap option for hosting and editing too. Although I actually use Descript and Audition for editing. Source: almost 5 years ago
I used Castfor my last podcast and loved it. I thought the editing interface was kind of clunky, so there was a little work to do importing and exporting. But hosting with someone in another city plus having a guest in a third location worked great. Source: over 5 years ago
For me, the biggest hurdle was figuring out hosting. I ended up going with a platform called CAST which folds a lot of things into one bundle. You can record, edit, host, and publish your podcast from that one location. Source: over 5 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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