
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.
THE WHAT: Evermuse is an AI advisor that turns customer calls into roadmap suggestions, so you can build better products, faster.
THE WHY: - Product roadmapping is slow, incomplete, and subjective. - Sales & CS conversations tend to be a black box for your Product team. - Your Product team is relying on generic AI tools and call summaries not specific to the needs of your Product team.
THE HOW: Evermuse ingests Sales, CS, and Product team conversations with customers via upload, direct recording in meeting platforms, and your pre-existing call recorders.
Evermuse parses those calls into signals that your Product team cares about (e.g. needs, pain point, key quotes, & sentiment), and categorizes and counts them for frequency.
Evermuse synthesizes those signals into fully cited opportunities to consider in your roadmapping efforts.
Evermuse lets you Ask Anything of your full dataset of customer calls via an AI-powered chat so you can uncover insights.
Haystack Analytics
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Haystack Analytics's answer
Engineering Leaders and Managers
Evermuse's answer:
Post-A funded B2B start-ups through large B2B enterprises that are feeling out of touch with their customers due to: 1.) Less qualitative Product-led conversations/research than theyโd like (because itโs too time consuming to do manually); 2.) Little to no insight into customer conversations happening with Sales and Customer Success teams (because the flow of information from these teams to Product is ad-hoc, sporadic, or non-existent.
Evermuse's answer:
Competitive platforms are not AI-first. They have all force-fit AI into their pre-existing products. Other products require a ton of manual tagging of transcripts to get any sort of useful data. Usermuse is automatic.
Evermuse's answer:
The only-AI first tool built to help Product teams efficiently and accurately get signals and insights from all customer conversations (Product, Sales and Customer Success).
Evermuse's answer:
Anthropic API, Gemini API, and OpenAI API
Evermuse's answer:
Evermuse's answer:
Usermuse was founded by a Product leader who has been in the space for 20+ years, Eran Dror. Eran also earned a Masterโs Degree writing his thesis on AI. Eran experienced first hand the difficulty of capturing and making sense of all the various qualitative product signals that a Product team has to take into account, so he built Usermuse to solve this problem
Based on our record, Haystack Analytics seems to be more popular. It has been mentiond 2 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.
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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