Magic Playlist
Spotify.me
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Playlist Machinery
Spotify
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SpotMenu
Spotify Taste Rewind
Haystack Analytics
LinearB
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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.
Magic Playlist Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Magic Playlist should be more popular than Haystack Analytics. It has been mentiond 6 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.
Try this site out. Itโs basically a similar to this music finder. I do encourage you to try and expand your tastes, but itโs definitely a habit to listen to use music, so ease into it! I usually make a goal of 3 new albums a week. Magic playlist. Source: over 4 years ago
In regards to OPโs question, lately Iโve been digging through genre specific sub-Reddits. There are tonnes of people out there who are absolutely obsessive about their love of certain artists. If Iโm digging someoneโs taste, I might go look at their comment history to see what else they like. I might then take any of the tunes that I find, plug them into Magic Playlist and then flip through the suggested tracks... Source: almost 5 years ago
MagicList will do that for you. I can't recall if it'll make a direct connect with Apple Music or if you have to import it from Spotify using SongShift. Source: almost 5 years ago
My kids have completely fucked the algorithm listening to their shite, so I abandoned it a while back and now when I'm looking for new music I use this - you can create a new playlist based on a track you like and it'll push it straight to Spotify: https://magicplaylist.co/. Source: about 5 years ago
3) A weekly playlist for each one. Only new songs. https://magicplaylist.co/#/pt?_k=4mkq5q (welcome). Source: over 5 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
Spotify.me - Beautiful analytics on your Spotify listening habits ๐ง
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.
Spotalike - Spotify playlist with similar songs, according to Last.fm
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.
Playlist Machinery - Tools that help you create & organize your Spotify playlists
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
