Haystack Analytics
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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.
We make it easy for you to sell anything online anywhere.
Digital downloads: Sell any type of digital download such as ebooks, software, design assets, templates, video, music and more. If you can save it, you can sell it.
Online courses: Create online courses with rich features such as videos, digital files, quizzes and assignments. Publish drip courses and provide completion certificates.
Coaching: Sell your expertise through 1:1 coaching sessions. Easily set up online meetings with clients using integrations with Zoom, Calendly and more.
Memberships: Allow your customers to pay you on a recurring basis to access your digital downloads or membership group. Manage your members easily.
Physical products: Sell and manage inventory for any physical products. Manage your store, fulfill orders, run promotions and more.
Haystack Analytics
PayhipPayhip is recommended for authors, digital content creators, artists, and small businesses who want to sell e-books, software, memberships, courses, or other digital products without the hassle of building a custom e-commerce platform.
Haystack Analytics's answer
Engineering Leaders and Managers
Payhip is a solid eCommerce platform having many nice features that can help you jumpstart your online store. Not to forget that it has a perpetual free tier. Also, the free plan is not limited by features!
But, if you want a branded eCommerce store โ Payhip will disappoint you. It does not support custom domains for your shop.
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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