Deepstash
Blinkist
Learn.xyz
JustSyft.com
Matter
Medium
The Fabulous
Artifact
Haystack Analytics
LinearB
GitPrime
Waydev
Swarmia
CodeClimate
Athenian
Teamplify
Learning, remembering and doing are hard, right? We make it fast, easy & fun to collect, organize and share your know-how and passions through actionable short ideas. With tens of thousands of ideas on how to improve your life, most of our 1M+ users spend just 5 to 10 minutes per day to get ahead.
It's like your social media feed, if your social media feed had things that mattered :-)
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.
Deepstash Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Deepstash should be more popular than Haystack Analytics. It has been mentiond 3 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.
I'm trialling a service called Deepstash (https://deepstash.com) and was wondering if anyone was familiar with it. Source: about 4 years ago
After reading your post, I am convinced that you must seek professional help. Even if you canโt define your state, try to make the key points of your state on sticky notes. Then, use those points while describing your state to a professional. In the meantime, I can suggest you some helpful platforms like deepstash. However, I recommend you get some professional help. Source: about 5 years ago
I read great ideas and insight about time management here, from books and articles. It helped me immensely! Also, I would recommend books: "Atomic Habits" and "The 7 habits of highly effective people". 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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