Workable
Greenhouse
Breezy.hr
Lever
Recruitee
LinkedIn Recruiter
Jobvite
SmartRecruiters
Haystack Analytics
LinearB
GitPrime
Waydev
Swarmia
CodeClimate
Athenian
Teamplify
Workable is affordable, useable hiring software. It replaces email and spreadsheets with an applicant tracking system that your team will actually enjoy using.
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.
Workable
Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
We used Workable to manage hiring across a few open roles, and overall it made the process much more organized than juggling emails and spreadsheets. Posting jobs and tracking candidates in one dashboard helped keep everyone on the same page, especially when multiple people were involved in interviews and feedback.
Where Workable shines is simplicity. You donโt need much training to get started, and most features are easy to understand. That said, if your hiring process is complex or heavily customized, you might start to feel boxed in. Some advanced reporting and automation options are also locked behind more expensive plans, which may not feel worth it for smaller teams.
Overall, Workable is a reliable, well-designed hiring tool that does exactly what it promises. Itโs not perfect, but for teams that want a clean and efficient recruiting setup without too much complexity, itโs a solid choice
Based on our record, Haystack Analytics should be more popular than Workable. 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.
Link is 100% safe for work (it's a 3rd party job listing site - workable.com). Source: 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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