
Brickit
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LEGO Worlds
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Haystack Analytics
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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.
Brickit
Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Brickit should be more popular than Haystack Analytics. It has been mentiond 13 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.
I tried to do brick sorting (because we have great detection and classification models at https://brickit.app/) It turned out to be much more complex than I expected. The biggest issue was grabbing. Typical approach for this type of task is to use vacuum suction actuator, but it does not work for Lego parts, because they have stubs and prevent suction from working. Also there are issues of part separation. We... - Source: Hacker News / almost 2 years ago
Another neat app if you have an iphone is Brickit which scans a large pile of your lego pieces and gives you build ideas. https://brickit.app/. - Source: Hacker News / almost 2 years ago
Not really a sorter, but https://brickit.app/ was mentioned on HN a while back, and does AI-based lego identification. I havenโt tried it, but it says it can show you where the pieces you need for a specific set are in a photo, so theoretically it should be able to show you everything that belongs in a particular bin as well. - Source: Hacker News / about 3 years ago
There is a app for that too, which works off of a photo of your parts: https://brickit.app/. - Source: Hacker News / about 3 years ago
If you have an iPhone, you could try the Brickit app. I've never used it, so I can't say how well it works, but the reviews are really good. 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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Lego Boost - Build + Code + Play
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