Smith.ai
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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.
Smith.ai Haystack AnalyticsHaystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Smith.ai should be more popular than Haystack Analytics. It has been mentiond 7 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.
Being a VA, have you seen smith.ai ? I dont work for them or anything, but they are hiring 16usd /hr. Source: about 3 years ago
What remote sites are you using to search for jobs? If they are the most popular, most are saturated, there are so many people looking for jobs right now! If you are bilingual and have customer service experience, smith.ai is paying 16/hr for bilingual virtual assistants in the US. It should be dead easy for you to get in, most the application is automated, just make sure you have all the hardware and software... Source: about 3 years ago
I've been debating using a live answering service. I have a chat answering service called ngage. I'm OK with them but not impressed. What makes you like smith.ai so much? Source: about 3 years ago
Google Voice is a good option, especially on a budget. I'd just make sure that you are answering the phone every time! Especially if you are going to try running LSAs, or have a website, etc - not answering can negatively impact your results/rankings. If you are looking for coverage after-hours, smith.ai is also a good option, but may not be something you want to pay for. Source: over 3 years ago
No one really. Two lawyer partners and a bunch of virtual/independent paralegals, smith.ai answering service, an executive suite, etc. Source: almost 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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