DiceBear Avatars
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If you are looking for a fresh alternative to boring avatars, then DiceBear is exactly what you are looking for. With DiceBear you can create fascinating and unique avatars in no time. Whether you're looking for geometric shapes, cute characters or even pixel art, DiceBear offers a wide range of avatar styles to bring your projects to life.
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.
DiceBear Avatars Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, DiceBear Avatars should be more popular than Haystack Analytics. It has been mentiond 9 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.
To generate the avatars I use https://avatars.dicebear.com. Awesome stuff! - Source: dev.to / about 4 years ago
I've used this previously in testing: https://avatars.dicebear.com/. Source: about 4 years ago
If you want a simple profile picture, https://avatars.dicebear.com are great. If you want something more discord friendly, you can check out https://github.com/shahriyardx/easy-pil/tree/master/examples. Source: over 4 years ago
Well with simple API, plus your imagination the sky is your limit. While I was developing a login and signup page for another project, I was wondering I want the user to feel unique, I don't want to use empty user icon ๐ค for the avatars. So with little search in google I came across the dicebear a free open source avatar library for developers and designers. - Source: dev.to / over 4 years ago
An example of an avatar image API is https://avatars.dicebear.com/. Source: over 4 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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