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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.
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Haystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Quick Draw Game seems to be a lot more popular than Haystack Analytics. While we know about 28 links to Quick Draw Game, 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.
Google came out with a pretty popular AI Experiment called "Quick, Draw!" which used a neural net to try to guess what you draw on the screen a couple years back. You might find it interesting. https://quickdraw.withgoogle.com. - Source: Hacker News / 8 months ago
Right, but for a square, you have to add 8 samples, not 2, to handle the 4 starting points and 2 directions, but this does not account for the users who multi-stroke > Different strokes... I see what you did there :] I'm definitely in the reduce user burden camp. https://quickdraw.withgoogle.com/ is a good baseline to start from for a more resilient gesture recognizer. - Source: Hacker News / almost 3 years ago
Https://quickdraw.withgoogle.com/ Its like a drawing game, where it says soemthing like necklace and you have to draw what it says. Source: about 3 years ago
At the suggestion of some of my pencil pals, I am trying DRAW IT (by Kwalee). It's a fast, party style game that seems to have a large (always on) user base. It's like Google Quick Draws ( https://quickdraw.withgoogle.com) with a learning AI judging you on your (very) quick sketches. I will miss the slower, patient, play-by-mail DS! brought... And also the massive potential to go wild the original DS! Had with... Source: about 3 years ago
I love social experiments like that, makes you think about our own behavior. On a side note, I am always amazed to the kind of representation bias trap we all fall into: we always picture things the way we commonly know about it/remember it (see the NY museum pics in the video). One can experience the same creepy sense by playing QuickDraw[1] and watching sketches by others. For computer vision practitioners, no... - Source: Hacker News / about 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
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
The Useless Web - The Useless Web is a massive collection of some of the worldโs most pointless websites.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
Colornet - Neural Network to colorize grayscale images
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
