OpenInsider
InsiderMonkey Screener
Sec Form 4
MarketChameleon Insider Trades Screener
Insider Tracking
Finviz Insider Trading
Gurufocus Insider
FinViz
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.
OpenInsider Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, OpenInsider seems to be a lot more popular than Haystack Analytics. While we know about 55 links to OpenInsider, we've tracked only 2 mentions of Haystack Analytics. 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.
That said, you can verify my math with the share ownership from the most recent 10K-A, Jason Hope's last Form 13, the open short interest listed on Nasdaq.com, and the daily volume from ChartExchange. If you don't know about volume & MM's, I need to figure out where to point you... a good book on how markets work, I guess. You can check OpenInsider.com for RZLT to see proof of 2 companies buying stock but not... Source: almost 3 years ago
Not for finding the next NVDA, but this is a cool website http://openinsider.com/. Source: about 3 years ago
I've been buying a little bit of any regional bank that's down if they show up on openinsider.com with a recent cluster of insider buying. I figure their CFO knows best. Source: over 3 years ago
I also like OpenInsider for tracking company execs buying/selling habits. Source: over 3 years ago
Open Insider (free) โ Tracks all the stock transactions made by insiders in public companies. 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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