
SocialFocus
Minimal Theme for LinkedIn
UnTrap for YouTube
True AI
Escape the Algorithm
Mutable
Minimal Twitter
PocketTube
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.
SocialFocus
Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, SocialFocus 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.
Great! The more solutions to filter unwanted content on the internet the better. Sometimes we find ourselves stuck having to use a particular platform because that's where the group chat is. I've had great success with Firefox and the Social Focus extension. Works on a number of different sites including YouTube, Reddit and Instagram. https://socialfocus.app/. - Source: Hacker News / 6 months ago
The thing that helped me tame YouTube was creating separate channels for my various interests. This keeps all my relevant subs in one place and really helps the algorithm. I turn off all the feeds on my main computer using https://socialfocus.app/. This prevents me from going down a YouTube hole when I don't want to but my searches and views still tune the respective algorithms. Occasionally, a stray... - Source: Hacker News / over 1 year ago
- Used SocialFocus (https://socialfocus.app/) to remove feeds and recommendations from all apps, any post access happens via shares or search. - Source: Hacker News / over 1 year 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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